A nanoliposome-based drug delivery system for cancer › eserv › DU:30061028 › lin-na... · A...

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A nanoliposome-based drug delivery system for cancer By Jia Lin, MSc, MBBS Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy Deakin University March, 2013

Transcript of A nanoliposome-based drug delivery system for cancer › eserv › DU:30061028 › lin-na... · A...

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A nanoliposome-based drug delivery system for cancer

By Jia Lin, MSc, MBBS

Submitted in fulfilment of the requirements for the degree of

Doctor of Philosophy

Deakin University

March, 2013

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Table of Contents

List of Figures .............................................................................................................. 1

List of Tables ................................................................................................................ 4

Publications .................................................................................................................. 5

Papers submitted for publication .................................................................................. 7

Acknowledgements ...................................................................................................... 8

Abstract ...................................................................................................................... 10

List of abbreviations ................................................................................................... 13

Chapter 1 - Introduction ............................................................................................. 16

1.1 Cancer and anticancer chemotherapy .............................................................. 17

1.1.1 Cancer and anticancer chemotherapy ......................................................... 17

1.1.2 Tumour microenvironment ......................................................................... 18

1.1.2.1 Tumour vasculature ............................................................................ 18

1.1.2.2 The enhanced permeability and retention effect in tumours .............. 19

1.1.2.3 Multidrug resistance ........................................................................... 21

1.1.2.4 Cancer stem cells ................................................................................ 24

1.1.2.4.1 Breast cancer ................................................................................. 29

1.1.2.4.2 Brain cancer .................................................................................. 30

1.1.2.4.3 Colon cancer ................................................................................. 31

1.1.2.5 Targeted anticancer therapy ................................................................ 32

1.1.2.5.1 Antibody-targeted therapy ............................................................ 33

1.1.2.5.2 Small molecule inhibitors ............................................................. 33

1.1.2.5.3. Aptamer-targeted therapy ............................................................ 34

1.2. Cancer nanotechnology .................................................................................. 36

1.2.1 Nanoparticle therapeutics for cancer .......................................................... 39

1.2.1.1 Size ..................................................................................................... 40

1.2.1.2 Surface properties of nanoparticles .................................................... 41

1.2.2.2.1 Passive targeting properties .......................................................... 41

1.2.2.2.2 Active targeting ............................................................................ 43

1.3. Liposomes ....................................................................................................... 46

1.3.1 History and development of liposomes for anticancer drug delivery ........ 47

1.3.2 Characterisation of liposomes .................................................................... 50

1.3.3 Advantages of liposomes for anticancer drug delivery .............................. 52

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1.3.3.1 Enhanced stability of liposomal drug formulation ............................. 53

1.3.3.2 A controlled release system of anticancer drugs ................................ 54

1.3.3.3 Reversal of MDR ................................................................................ 56

1.3.3.4 Improved PK and BD ......................................................................... 57

1.3.3.5 Aptamer and CSCs targeting .............................................................. 59

1.4. Project significance and aims ......................................................................... 60

Chapter 2 - Methodology ........................................................................................... 65

2.1 Ethics Statement .............................................................................................. 66

2.2 Materials .......................................................................................................... 66

2.2.1 Chemicals, reagents and equipment ........................................................... 66

2.2.2 Cells used in this study ............................................................................... 67

2.2.3 Animals used in this study .......................................................................... 68

2.2.4 Aptamers used in this study ........................................................................ 69

2.3 Methods ........................................................................................................... 70

2.3.1 Development of sulfatide-containing nanoliposomal doxorubicin (SCL-

DOX) and PEG-sulfatide-containing nanoliposomal doxorubicin (PEG-SCL-

DOX) ................................................................................................................... 70

2.3.1.1 Development of SCL-DOX. ............................................................... 70

2.3.1.2 Development of PEG-SCL-DOX. ...................................................... 71

2.3.1.3 Development of DOX-encapsulated, aptamer functionalised PEG-

SCL ................................................................................................................. 72

2.3.1.4 Chromatographic instrumentation and system ................................... 73

2.3.1.5 Establishing standard curves for determination of DOX loading

efficiency ........................................................................................................ 73

2.3.1.6 Determination of drug loading efficiency of SCL-DOX or PEG-SCL-

DOX ............................................................................................................... 74

2.3.1.7 Establishing standard curves for phospholipids assay ....................... 75

2.3.1.8 Determination of phospholipids in SCL-DOX or PEG-SCL-DOX ... 75

2.3.1.9 Determination of particle size and zeta potential of SCL-DOX or

PEG-SCL-DOX .............................................................................................. 76

2.3.1.10 In vitro release kinetics of SCL-DOX/PEG-SCL-DOX in PBS ...... 76

2.3.1.11 In vitro release kinetics of SCL-DOX/PEG-SCL-DOX in PBS/10%

FBS ................................................................................................................. 76

2.3.1.12 Establishing standard curves for in vitro release kinetics in PBS .... 77

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2.3.1.13 Establishing standard curves for in vitro release kinetics in PBS/10%

FBS ................................................................................................................. 77

2.3.2 In vitro uptake, retention and cytotoxicity assay ........................................ 78

2.3.2.1 MTT assay .......................................................................................... 78

2.3.2.2 Confocal microscopy analysis for cellular uptake and retention of

SCL-DOX ....................................................................................................... 79

2.3.2.3 Cellular uptake and retention of aptamer-functionalised DOX-

encapsulated PEG-SCL .................................................................................. 79

2.3.2.4 Flow cytometry analysis for intracellular uptake of SCL-DOX ........ 80

2.3.3.1 Development of [3H]-tracking of liposome. ....................................... 80

2.3.3.2 Pharmacokinetics (PK) study in SD rats ............................................ 81

2.3.3.3 Biodistribution (BD) study in rats ...................................................... 81

2.3.3.4 Establishing standard curves of DOX in plasma ................................ 82

2.3.3.5 Determination of the stability of SCL-DOX in plasma ...................... 82

2.3.3.6 Establishing standard curves of DOX in tissues ................................ 82

2.3.3.7 Determination of the release of DOX from SCL-DOX in tissues ...... 83

2.3.3.8 Liquid scintillation counting assay for [3H] in plasma ....................... 83

2.3.3.9 Liquid scintillation counting assay for [3H] in tissues ....................... 84

2.3.3.10 Tumour xenograft model .................................................................. 84

2.3.3.11 Establishing standard curves of DOX in tissues and tumours in

tumour-bearing mice ...................................................................................... 85

2.3.3.12 Tumour uptake and tissue distribution of SCL-DOX in tumour-

bearing mice ................................................................................................... 85

2.3.3.13 Treatment efficacy of SCL-DOX in tumour-bearing mice ............... 85

2.3.3.14 Analysis of systemic toxicity of SCL-DOX ..................................... 86

2.3.3.15 Perfusion in healthy SD rats ............................................................. 86

2.3.3.16 Establishment of a intracranial brain tumour xenograft model ........ 87

2.3.3.17 Establishing standard curves of DOX in tissues and tumours in

intracranial brain tumour xenograft models ................................................... 88

2.3.3.18 Tumour uptake and tissue distribution in intracranial brain tumour

xenograft models ............................................................................................ 88

2.3.4 Data analysis .............................................................................................. 88

Chapter 3 - Development of sulfatide-containing nanoliposomal doxorubicin and

PEG-sulfatide-containing nanoliposomal doxorubicin .............................................. 90

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3.1 Introduction ..................................................................................................... 91

3.2 Results ............................................................................................................. 93

3.2.1. Characterisation of nanoliposomes ........................................................... 93

3.2.1.1 Establishing standard curves for determination of DOX loading

efficiency ........................................................................................................ 93

3.2.1.2. Establishing standard curves for phospholipids assay ...................... 94

3.2.1.3 Characterisation of nanoliposomes .................................................... 95

3.2.2 In vitro drug retention properties. .............................................................. 96

3.2.2.1 Establishing standard curves for in vitro release kinetics in PBS and

PBS/10% FBS ................................................................................................ 96

3.2.2.2 In vitro drug retention properties ........................................................ 98

3.2.3 Flow cytometry analysis for intracellular uptake of SCL-DOX ................ 99

3.2.4. In vivo characteristics of SCL-DOX and PEG-SCL-DOX. .................... 100

3.2.4.1 Establishing standard curves for DOX concentration in plasma ...... 100

3.2.4.2 Improved pharmacokinetic properties of SCL in healthy SD rats ... 101

3.2.4.3 Establishing standard curves for tissue distribution ......................... 103

3.3.4.4 Tissue distribution advantages of SCL-DOX in SD rats .................. 105

3.2.4.5 Drug-to-lipid ratios in vivo ............................................................... 107

3.3 Discussion ...................................................................................................... 109

3.4 Conclusion ..................................................................................................... 113

Chapter 4 - Enhanced antitumour activity and reduced systemic toxicity of glioma

tumour microenvironment targeted sulfatide-containing liposomes ........................ 115

4. 1 Introduction .................................................................................................. 116

4. 2 Results .......................................................................................................... 118

4.2.1 In vitro cytotoxicity .................................................................................. 118

4.2.2 Intracellular uptake and retention of SCL-DOX in U-118MG cells ........ 119

4.2.3 Establishing standard curves for tissue distribution ................................. 123

4.2.4 Improved tumour uptake and biodistribution in U-118MG tumour

xenograft model ................................................................................................. 125

4.2.5 Enhanced therapeutic efficacy of SCL-DOX in U-118MG xenograft

tumour model .................................................................................................... 126

4.2.6 Reduced toxicity of SCL-DOX in vivo .................................................... 128

4.3 Discussion ...................................................................................................... 131

4.4 Conclusion ..................................................................................................... 136

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Chapter 5 - Enhanced antitumour efficacy and reduced systemic toxicity of sulfatide-

containing nanoliposomal doxorubicin in a xenograft model of colorectal cancer . 137

5.1 Introduction ................................................................................................... 138

5.2 Results ........................................................................................................... 140

5.2.1 Intracellular uptake and retention of SCL-DOX in HT-29 cells .............. 140

5.2.2 In vitro cytotoxicity .................................................................................. 144

5.2.3 Establishing standard curves for tumour uptake ...................................... 144

5.2.4 Tissue distribution and tumour uptake Advantages of SCL-DOX ........... 145

5.2.5 Enhanced therapeutic efficacy of SCL-DOX ........................................... 147

5.2.6 Reduced systemic toxicity of SCL-DOX ................................................. 149

5.3 Discussion ...................................................................................................... 151

5.4 Conclusion ..................................................................................................... 156

Chapter 6 - Exploration of the potential of using sulfatide-containing liposomes for

drug delivery into the brain ...................................................................................... 157

6.1 Introduction ................................................................................................... 158

6.2 Results ........................................................................................................... 160

6.2.1 Enhanced brain distribution of SCL-DOX in healthy SD rats ................. 160

6.2.2. Enhanced brain distribution of SCL-DOX in perfused healthy SD rats . 161

6.2.3 Establishment of intracranial brain tumour xenograft models ................. 162

6.2.4 Establishing standard curves for tissue distribution in Wistar rats ........... 163

6.2.5 Tissue distribution and tumour accumulation of SCL-DOX in an

intracranial brain tumour xenograft model ........................................................ 166

6.3 Discussion ...................................................................................................... 167

6.4 Conclusion ..................................................................................................... 171

Chapter 7 - Development of EpCAM aptamer functionalised PEGylated sulfatide-

containing liposomal doxorubicin ............................................................................ 172

7.1 Introduction ................................................................................................... 173

7.2 Results ........................................................................................................... 175

7.2.1 Establishing a standard curve for DOX concentration in aptamer

functionalised PEG-sulfatide-containing nanoliposomal DOX (ap-PEG-SCL-

DOX) ................................................................................................................. 175

7.2.2 Characterisation of ap-PEG-SCL-DOX and PEG-SCL-DOX modified with

negative control aptamer (negative ap- PEG-SCL-DOX) ................................. 176

7.2.3 Cellular uptake of ap-PEG-SCL-DOX ..................................................... 177

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7.2.4 Cellular retention of aptamer functionalised PEG-SCL-DOX ................. 180

7.3 Discussion ...................................................................................................... 185

7.4 Conclusion ..................................................................................................... 188

Chapter 8 - Summary and perspectives .................................................................... 189

8.1 Summary ........................................................................................................ 190

8.2 Perspectives ................................................................................................... 194

References ................................................................................................................ 198

Appendix .................................................................................................................. 247

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List of Figures

Figure 1-1 The Enhanced permeability and retention (EPR) effect in tumours 21

Figure 1-2. Mechanisms of multidrug resistance (MDR) development in tumour cells

22

Figure 1-3. Stochastic versus cancer stem cell hypothesis of tumours 26

Figure 1-4. SELEX technology 36

Figure 1-5. The tumour microenvironment 43

Figure 1-6. Active cellular targeting of nanoparticles 45

Figure 1-7. Liposomes 47

Figure 1-8. Liposome classification 51

Figure 3-1. Standard curves for determination of DOX loading efficiency. 94

Figure 3-2. Standard curves for phospholipids assay. 95

Figure 3-3. Standard curves for in vitro release kinetics in PBS and PBS/10% FBS.

97

Figure 3-4. In vitro stability of SCL-DOX and PEG-SCL-DOX. 99

Figure 3-5. DOX uptake in MCF-7 and U-118MG cells. 100

Figure 3-6. Standard curve for DOX concentration in plasma. 101

Figure 3-7. Plasma clearance of different DOX formulation in healthy SD rats

102

Figure 3-8. Standard curves for tissue distribution. 104

Figure 3-9. Biodistribution of DOX encapsulated in SCL in SD rats. 106

Figure 3-10. DOX-to-lipid ratios in tissues of rats. 108

Figure 4-1. Intracellular uptake of SCL-DOX in U-118MG cells. Intracellular uptake of SCL-DOX in U-118MG cells.

120

Figure 4-2. Intracellular retention of SCL-DOX in U-118MG cells. 122

Figure 4-3 Standard curves for tissue distribution in mice. 124

Figure 4-4. BD and tumour uptake of DOX encapsulated in SCL in xenograft-bearing mice.

126

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Figure 4-5. Improved therapeutic activity of SCL-DOX against glioma xenograft.

127

Figure 4-6. SCL-DOX enhanced survival of tumour-bearing mice. 128

Figure 4-7. Encapsulation of DOX in SCL substantially reduced the accumulation of DOX in principal sites of DOX toxicity.

130

Figure 4-8. Encapsulation of DOX in SCL significantly reduced cardiac and hepatic toxicity.

131

Figure 5-1. Intracellular uptake of SCL-DOX in HT-29 cells. 141

Figure 5-2. Intracellular retention of SCL-DOX in HT-29 cells. 143

Figure 5-3. Standard curve for DOX concentration in HT-28 tumours. 145

Figure 5-4. BD and tumour uptake of DOX encapsulated in SCL in xenograft-bearing mice.

146

Figure 5-5. SCL-DOX produced more reduction in tumour volume. 148

Figure 5-6. SC--DOX enhanced survival. 149

Figure 5-7. SCL-DOX treatment had significantly reduced myelosuppression.

150

Figure 6-1. Improved brain distribution in healthy rats. 161

Figure 6-2. Improved brain distribution in perfused healthy rats. 162

Figure 6-3. Establishment of intracranial brain tumour xenograft models. 163

Figure 6-4. Standard curves for tissue distribution in Wistar rats. 165

Figure 6-5. Tissue distribution of DOX encapsulated in SCL in C6 glioma tumour-bearing rats.

167

Figure 7-1. Standard curve for determination of DOX concentration in ap-PEG-SCL-DOX.

175

Figure 7-2. Development of ap-PEG-SCL-DOX 176

Figure 7-3. Intracellular uptake of aptamer functionalised PEG-SCL-DOX in HEK-293T cells and HT-29 cells.

179

Figure 7-4. Intracellular retention of aptamer functionalised SCL-DOX in HEK-293T cells and HT-29 cells (1 h).

181

Figure 7-5. Intracellular retention of aptamer functionalised SCL-DOX in HEK-293T cells and HT-29 cells (2 h).

182

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Figure 7-6. Intracellular retention of aptamer functionalised SCL-DOX in HEK-293T cells and HT-29 cells (4 h).

183

Figure 7-7. Intracellular retention of aptamer functionalised SCL-DOX in HEK-293T cells and HT-29 cells (24 h).

184

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List of Tables

Table 1-1. Summary of markers used for cancer stem cells 28

Table 3-1. Physical properties of the liposomal formulations. 96

Table 3-2. Pharmacokinetic parameters for free DOX, SCL-DOX and PEG-SCL-DOX.

102

Table 4-1. Mean IC50 values ( g/mL of DOX) for treatment with free DOX and SCL-DOX.

119

Table 4-2. Plasma levels of troponin. 131

Table 5-1. Mean IC50 values ( g/ml of doxorubicin) for treatment with free DOX and SCL-DOX

144

Table 5-2. Plasma levels of troponin 150

Table 7-1. Physical properties of the liposomal formulations. 176

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Publications

Lin J, Yu Y, Shigdar S, Fang DZ, Du JR, Wei MQ, Danks A, Liu K and Duan W.

“Enhanced antitumor efficacy and reduced systemic toxicity of sulfatide-containing

nanoliposomal doxorubicin in a xenograft model of colorectal cancer”. PLoS ONE,

2012, 7(11): e49277. (Impact Factor = 4.092)

Sarah Shigdar, Jia Lin, Yong Li, Chaoyong James Yang, Mingqian Wei, Yimin

Zhu, Hui Liu and Wei Duan. “Cancer stem cell targeting: the next generation of

cancer therapy and molecular imaging”. Therapeutic Delivery, 2012, 3 (2) :227-44.

S Shigdar, J Lin, Y Yu, M Pastuovic, M Wei, and Wei Duan. “RNA aptamer against

a cancer stem cell marker epithelial cell adhesion molecule”. Cancer Science, 2011,

102(5):991-8. (ERA: A, Impact Factor = 3.846)

Lin J, Fang DZ, Du J, Shigdar S, Xiao LY, Zhou XD, Duan W. “ Elevated Levels of

Triglyceride and Triglyceride-Rich Lipoprotein Triglyceride Induced by a High-

Carbohydrate Diet Is Associated with polymorphisms of APOA5-1131T>C and

APOC3-482C>T in Chinese healthy young adults”. Annals of Nutrition &

Metabolism. 2011, 58(2):150-7. (Impact Factor = 2.257)

J. Du., D. Z. Fang, J. Lin, L. Y. Xiao, X. D. Zhou, S. Shigdar and Wei

Duan. “TaqIB polymorphism in the cholesterol ester transfer protein (CETP) gene

modulates the impact of HC/LF diet on the HDL profile in healthy Chinese young

adults”. The Journal of Nutritional Biochemistry. 2010, 21:1114-9. (Impact Factor

= 4.538; ERA: A*)

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Huang X, Gong RR, Lin J, Li RH, Xiao LY, Duan W, Fang DZ (Co-corresponding

author). “Interactions of Lipoprotein lipase gene variations, high carbohydrate low

fat diet and gender on serum lipid profiles in healthy Chinese Han

youth”. Bioscience Trends, 2011, 5(5):198-204. (Impact Factor = 0.392)

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Papers submitted for publication

Jia Lin, Yan Yu, Sarah Shigdar, Liang Qiao, Ding Zhi Fang, Andrew Danks, Ming

Q. Wei, Lingxue Kong, Lianghong Li and Wei Duan. “Enhanced antitumor activity

and reduced systemic toxicity of tumor microenvironment targeted sulfatide-

containing nanoliposome”. Submitted to Cancer Letters.

Sarah Shigdar, Christine Qian, Li Lv, Chunwen Pu, Yong Li, Lianhong Li, Manju

Marappan, Jia Lin, Lifen Wang, Wei Duan. “The use of sensitive chemical

antibodies for diagnosis: detection of low levels of EpCAM in breast cancer”.

Submitted to PLos One.

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Acknowledgements

To my supervisor Professor Wei Duan, thank you for the great support and

encouragement you have given me not only in my PhD studies, but also in my

general life. It has been a wonderful experience to work on the projects. I have learnt

a lot from you about how to improve my observations, basic experimental skills,

scientific writing, presentation skills and response to others’ comments. Your advice

has been invaluable to me.

To Doctor Sarah Shigdar, thank you for your kindly help with my drafts, my

experimental designs, technical training, general problems in my studies and my life

when I needed assistance or advice. There is no doubt in my mind that you and your

encouragement have been a major motivator and something I will always treasure in

my life. It has been an unforgettable experience to work with you.

Moreover, I would like to thank my past and present colleagues: Yan Yu, Lei Li,

Tao Wang, Dongxi Xiang and Manju Marappan. My PhD has been full of enjoyment

because of you. Thank you for your support, help, and most of all friendship

throughout these years.

I am also grateful to all past and present staffs and students who provided a very

good research environment for me in the School of Medicine and in the Upper

Animal House.

To my family, Dad, Mum, and my husband, thank you for your endless love,

encouragement, understanding, support and encouragement over the years. You have

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always been there to motivate me and no words can describe how grateful I am to

have such a wonderful family.

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Abstract

Cancer is still one of the leading causes of deaths in the world and chemotherapy

remains the major treatment modality for most advanced cancers. However,

traditional anticancer agents have numerous problems due to their non-specific

distribution and low therapeutic index in vivo, leading to serious side effects in

patients. Thus, there is a big challenge to develop new chemotherapeutics that can

target cancer cells effectively. In recent years, nanotechnology has been widely

developed and utilised in the treatment of cancers and the study of liposomes is a

critical direction in this area. Liposomes have become well-recognised vehicles for

drug encapsulation and have been shown to enhance the therapeutic efficacy of

several traditional antitumour drugs.

Ideally, liposomes for drug delivery have the ability to accumulate in tumour tissues

via the enhanced permeability and retention effects (the EPR effect) in tumours.

Moreover, modification with ligands on the surface of liposomes could further

enhance the targeting property of liposomes. Sulfatide, a glycosphingolipid which

can bind to several extracellular matrix proteins, has the potential to become a

targeting agent in tumours overexpressing tenascin-C. As a result, sulfatide was used

in the development of sulfatide-containing nanoliposomes (SCL) for doxorubicin

(DOX) encapsulation to overcome its dose-limiting toxicity.

This project was aimed to analyse in vitro characteristics of sulfatide-containing

liposomal DOX (SCL-DOX) and to assess its cytotoxicity in vitro, as well as

pharmacokinetics (PK) and biodistribution (BD) in healthy rats. Then, the human

glioblastoma cell line U-118MG and the human colorectal adenocarcinoma cell line

HT-29, which both have high expression of tenascin-C, were utilised as models for

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the studies of therapeutic efficacy and systemic toxicity both in vitro and in vivo. As

there is potential for SCL-DOX to cross the blood-brain barrier (BBB), an

intracranial brain C6 tumour xenograft model in rats was established for the

evaluation of tumour uptake of SCL-DOX. To further improve the active targeting

property of SCL-DOX, an aptamer targeting the epithelial cell adhesion molecule

(EpCAM), a cell surface marker for the cancer stem cells (CSCs), was used to

modify the SCL and the cellular uptake and retention of drugs was compared

between an EpCAM-positive cell line and an EpCAM-negative cell line.

The results indicated that the SCL-DOX had a satisfactory drug loading efficiency,

a high drug-to-lipid ratio, an ideal average size as well as a remarkable in vitro

stability. It was also shown that the SCL-DOX could prolong the retention property

in both U-118MG cells and HT-29 cells in vitro when compared to the free DOX.

Besides the improved pharmacokinetic profile in healthy SD rats, in vivo data also

suggested improved tissue distributions in both healthy rats and tumour-bearing mice.

Meanwhile, the enhanced treatment efficacy and reduced systemic toxicity of SCL-

DOX were observed in U-118MG and HT-29 tumour-bearing mice compared to the

free drug. Furthermore, the findings indicated that the SCL-DOX was able to

penetrate the BBB and accumulate in the glioma. As well, modification with the

EpCAM targeting aptamer on the SCL-DOX demonstrated specific targeting to the

EpCAM-positive cell line.

In conclusion, the current project shows that the SCL could be an effective and safe

nanocarrier for the anticancer agent DOX. The SCL-DOX has the potential to target

tumours with high expression of tenascin-C. Moreover, SCL encapsulation could be

a new strategy for the treatment of diseases in the central nervous system (CNS). The

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aptamer functionalised DOX-encapsulated PEG-SCL might be a novel nanodrug to

improve the treatment efficacy in the CSCs.

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List of abbreviations

A

ABC ATP-binding cassette

ALDH aldehyde dehydrogenase

ALDH1 aldehyde dehydrogenase isoform 1

ANOVA analysis of variance

ap-SCL-DOX aptamer functionalised PEG-SCL-DOX

AUC Area under the plasma concentration-time curves

B

BBB blood-brain barrier

BD biodistribution

C

°C degrees celsius

CD cluster of differentiation

CHE cholesteryl hexadecyl ether

CNS central nervous system

COOH hydrophilic carboxylic acid functional group

CSCs cancer stem cells

D

DMEM Dulbecco’s modified eagles medium

DMSO dimethyl sulfoxide

DOPE 1,2-dioleoyl-snglycero-3-phosphoethanolamine

DOX doxorubicin

E

ECM extracellular matrix

EDC 1- [3-dimethylaminopropyl]-3-ethylcarbodiimide

hydrochloride

EDTA ethylenediamine tetraacetic acid

EGFR epidermal growth factor receptor

EpCAM epithelial cell adhesion molecule

EPR enhanced permeability and retention effect

F

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FBS foetal bovine serum

FDA Food and Drug Administration

G

g G force

H

h hour

HPLC high performance liquid chromatography system

I

IF intermediate filament

i.v. intravenous

M

MCF-7 Michigan Cancer Foundation - 7

MDR multidrug resistance

MDR I multidrug-resistant I

mg milligram

min minute

mL millilitre

mAbs monoclonal antibodies

MRP MDR related protein

MTT 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-

tetrazolium bromide

N

ng nanogram

NH2 ammine ends

NHS N-hydroxysuccinimide

NOD/SCID Nonobese diabetic/severe combined immunodeficiency

P

PBS phosphate saline buffer

PDI polydispersity index

PEG polyethylene glycol

PEG2000-DSPE 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-

[maleimide(polyethylene glycol)-2000]

PEG-SCL-DOX PEG-sulfatide-containing nanoliposomal doxorubicin

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PLD pegylated liposomal DOX

P-gp P-glycoprotein

PK pharmacokinetics

PPE Palmar-plantar erythrodysesthesia

PSMA prostate-specific membrane antigen

R

RES reticuloendothelial system

RT room temperature

S

SCL sulfatide-containing liposomes

SCL-DOX sulfatide-containing liposomal DOX

SD rats Sprague-Dawley rats

S.E. standard error

SELEX systematic evolution of ligands by exponential

enrichment

Sulfo-NHS sulfo-N-hydroxysuccinimide

T

t1/2 Elimination half-life

thioaptamer thioated oligonucleotide aptamer

U

g microgram

L microlitre

V

Vd volume of distribution

W

WHO World Health Organisation

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Chapter 1 - Introduction

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1.1 Cancer and anticancer chemotherapy

1.1.1 Cancer and anticancer chemotherapy

Cancer is still one of the most devastating diseases in the world despite vast

government funding and a heroic effort by cancer researchers to reduce mortality and

improve survival (Klein, Christoph A. 2009). Cancer treatment modalities include

surgery, radiation and chemotherapeutics (Chabner & Roberts 2005; Peer, Dan et al.

2007; Sapra, P., Tyagi & Allen 2005). However, radiation therapy, as well as surgery,

cannot eradicate metastatic tumours (Chabner & Roberts 2005). The majority of

tumour-induced fatalities are attributable to metastatic diseases, and early cancer

detection and prevention of metastases has become the centre of clinical attention

(Klein, Christoph A. 2009). Due to its spectacular success in curing certain types of

leukaemia, chemotherapy is becoming the major weapon in the management of

metastatic solid tumours (Balis 1988).

During the quest to provide a cure for cancer, cancer drug development has been

transformed from a low-budget, government-supported research effort to a high-

stakes, multi-billion dollar industry (Chabner & Roberts 2005). However, most

traditional chemotherapeutic agents lack specificity to cancer cells. Thus, they often

kill healthy cells as well as tumour cells (Alexis, Frank , Rhee, June-Wha , et al.

2008; Bawarski et al. 2008). Moreover, chemotherapy also causes severe toxicity to

patients, leading to serious side effects, low efficacy and poor quality of life (Peer,

Dan et al. 2007; Sapra, P., Tyagi & Allen 2005). In addition, most anticancer agents

have an extensive distribution in the human body after intravenous (i. v.)

administration, resulting in a low therapeutic index and a high level of toxicity to

healthy tissues. This non-specific biodistribution (BD) and the resulting side effects

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limit the clinical application of anticancer drugs (Ganta, Srinivas et al. 2008).

Furthermore, there are many barriers to the effective delivery of anticancer drugs to

the tumour due to its pathophysiological properties. This is further exacerbated by

the fact that tumours can be located in parts of body where anticancer agents cannot

easily penetrate, such as the brain, or protected by the local environment due to

increased tissue hydrostatic pressure or altered tumour vasculature (Drummond, D. C.

et al. 1999b; Klein, Christoph A. 2009; Szakács et al. 2006). Thus, there is an urgent

need to develop new chemotherapeutics that can target tumour cells effectively.

1.1.2 Tumour microenvironment

1.1.2.1 Tumour vasculature

The structure of newly generated blood vessels in tumours are abnormal (Alexis,

Frank , Rhee, June-Wha , et al. 2008; Tang et al. 2007), with studies indicating that

the abnormal vasculature in the tumour plays an important role in tumour

permeability. Tumour blood vessels are characterised by leakage, tortuousness,

dilation and disordered interconnection (Tang et al. 2007). In some tumours, vessels

share features of arterioles, capillaries and venules. Furthermore, the walls of tumour

vessels lack normal basement membranes and perivascular smooth muscle when

compared with that of healthy tissues (Trédan et al. 2007). Moreover, the integration

of tumour cells into the vessel wall exacerbates the leakiness of the tumour

vasculature. Due to these structural abnormalities, the capillary network of tumours

is highly permeable to macromolecules when compared to their normal counterpart

(Campbell 2006; Greish 2007; Kong, Braun & Dewhirst 2000). The newly formed

tumour vessels have fenestrations ranging from 100 to 780 nm, while the pore size of

the vascular endothelium in most healthy tissues is smaller than 6 nm (Drummond, D.

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C. et al. 1999b). Consequently, macroparticles, such as albumin, and even larger

nano-sized particles (Kratz et al. 2008), remain in the bloodstream when passing

through the normal tissues where the openings are not large enough for them to pass

in, but would extravasate through the leaky vasculature of tumours (Gullotti & Yeo

2009). In most cases, particles smaller than 200 nm would be able to cross into the

tumour microvasculature (Alexis, Frank, Rhee, June-Wha, et al. 2008).

1.1.2.2 The enhanced permeability and retention effect in tumours

The clearance route of macromolecules in the interstitial space is the lymphatic

system in both normal tissues and tumours (Maeda, H., Bharate & Daruwalla 2009).

However, tumours are characterised by an irregular lymphatic system. Due to the

absence of functional lymphatics, the clearance of macromolecules is retarded from

the tumour interstitium (Brigger, Dubernet & Couvreur 2002). Moreover, in many

solid tumours, such as rectal and breast tumours, there is an elevated interstitial fluid

pressure when compared with normal tissues (Jain 1990). Consequently, as

interstitial fluid pressure can drive the pressure gradient or fluid flux in the tumour

interstitium back to the vascular compartment, it reduces the pressure gradients from

the vascular compartment into the interstitial space (Ferretti et al. 2009; Lunt,

Chaudary & Hill 2009). As a result, limited delivery and transport of

macromolecules ensue due to the increased interstitial fluid pressure gradient from

the tumour centre to the periphery (Heldin et al. 2004). Thus, unlike normal tissues

where clearance of macromolecules proceeds rapidly and steadily via the lymphatic

system, clearance of macromolecules from the tumour lymphatic system is impaired

and they can remain in the tumour interstitium for a long period of time (Maeda,

Hiroshi 2001).

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The characteristics of tumour vasculature enhance the permeability of

macromolecular compounds such as nanoparticles in tumour tissues, while the

impaired lymphatic system contributes to the retention of macromolecules in the

interstitial space of tumours for long periods (Maeda, Hiroshi 2001). Thus, the highly

permeable vessel structures and the lack of an intact lymphatic system in tumours

result in the phenomenon termed the enhanced permeability and retention (EPR)

effect (Figure 1-1) (Bisht & Maitra 2009). The EPR effect, discovered by Maeda and

Matsumura in 1986, is characterised by enhanced extravasation of macromolecules

from tumour blood vessels and their retention in tumour tissues (Maeda, H., Bharate

& Daruwalla 2009). The EPR effect, modulated by abnormal secretion of vascular

endothelial factors, such as bradykinin, nitric oxide, prostaglandins and matrix

metalloproteins (Alexis, Frank, Rhee, June-Wha, et al. 2008), forms the foundation

of cancer-targeting drug design as it is observed in almost all solid tumours in

humans (Maeda, H., Bharate & Daruwalla 2009; Miles & Williams 2008).

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Figure 1-1. The Enhanced permeability and retention (EPR) effect in tumours (adapted from Cassidy and Schätzlein 2004). Normal tissue vasculatures are characterised by tight endothelial cells which thereby prevent macromolecules from passing in, whereas tumour vasculatures are leaky and hyperpermeable for the nanoparticles. Small blue dots: small molecules; Large green dots: macromolecules. (Cassidy & Schätzlein 2004)

1.1.2.3 Multidrug resistance

Multidrug resistance (MDR), the resistance of cancer cells to one or more drugs in

chemotherapy, is a significant obstacle to effective treatment of tumours by

chemotherapeutics (Peer, Dan et al. 2007). It is postulated that MDR results in lower

therapeutic effects as well as resistance to various drugs in cancer cells (Domb et al.

2007; Gottesman 2002; Gottesman, Michael M. , Fojo, Tito & Bates, Susan E. 2002;

Peer, Dan et al. 2007). The mechanisms of MDR in cancer include a decreased

uptake of water-soluble drugs, cellular changes affecting the cytotoxicity of drugs

and an increased efflux of hydrophobic cytotoxic drugs (Figure 1-2) (Jabr-Milane et

al. 2008; Szakács et al. 2006).

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Figure 1-2. Mechanisms of multidrug resistance (MDR) development in tumour cells (adapted from Gottesman, Fojo et al. 2001). Tumour cells can develop resistance to anticancer agents by different mechanisms, such as elevated drug efflux by incresing activity of pumps or reduced drug influx. Alternatively, resistance can be induced by the activation of detoxifying proteins, disruption of apoptotic signalling patheways, or increased of DNA repair. (Gottesman, M. M., Fojo, T. & Bates, S. E. 2002)

The most widely studied mode of MDR action is drug efflux. Many clinical

anticancer drugs are derivatives of natural products, such as anthracyclines and vinca

alkaloids. These agents share properties in terms of high affinity with energy-

dependent membrane transporter proteins, leading to the efflux of drugs out of cells

(Patel & Tannock 2009). According to current wisdom, MDR occurs as a result of

overexpression of an ATP-dependent transporter protein family on the cancer cell

surface. These proteins are known as the ATP-binding cassette (ABC) transporters,

utilising ATP for exporting drugs against the concentration gradient (Dean, Rzhetsky

& Allikmets 2001; Peer, Dan et al. 2007; Spiegl-Kreinecker et al. 2002; Szakács et al.

2006). The ABC transporters are found in all cells of all species from the most

primitive microorganism to humans, and play central roles in various physiologic

systems as well as drug resistance in tumour cells (Surowiak et al. 2006).

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P-glycoprotein (P-gp), a transmembrane glycoprotein with a molecular weight of

170 kDa, is a key protein in the ABC transporter family. It is encoded by the MDR

gene, MDR1. P-gp plays a critical role not only in regulating drug access through the

blood-brain-barrier (BBB), as it is involved in the exclusion of both neutral and

cationic organic compounds (Roya et al. 2009), but also in chemoresistance in

tumours. The role of P-gp in MDR in tumours has been confirmed by many studies

(Bradley & Ling 1994; Taheri, Mahjoubi & Omranipour 2010; Thomas & Coley

2003). It functions as a pump transporting anticancer drugs out of tumour cells in an

ATP-dependent manner, and confers cancer cells with the strongest resistance to the

widest variety of agents among the ABC transporters (Bradley & Ling 1994; Li, Y et

al. 2010; Szakács et al. 2006; Taheri, Mahjoubi & Omranipour 2010).

However, there are some resistant tumour cells overexpressing other proteins from

the MDR related protein (MRP) family instead of P-gp. Two main MRP transporters,

MRP 1 and MRP 2, contribute to drug resistance in some multidrug resistant tumour

cells. The overexpression of human MRP 1 in cancer patients has been reported by

many independent laboratories (Burger et al. 2003; Komdeur et al. 2001; Mahjoubi

et al. 2008). MRP 1 has the potential to confer drug resistance to a variety of drugs,

such as anthracyclines, vinca alkaloids, and VP-16 (Mahjoubi et al. 2008; Minko et

al. 2006), which is related to a reduced intracellular drug accumulation in tumours

(Mahjoubi et al. 2008). Another drug transporter protein in the MRP family is the

MRP 2. It has been shown that the MRP 2, a 190 kDa phosphoglycoprotein, is

expressed on the apical membrane of hepatocytes, enterocytes, and renal proximal

tubules (Surowiak et al. 2006; Zhang, Yuanyuan , Li & Vore 2007). The MRP 2 is

also involved in the transport of chemotherapeutic agents out of the tumours (Choi et

al. 2007). In vitro experiments also showed that overexpression of the human MRP 2

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could confer resistance to platinum-containing anticancer drugs (Surowiak et al.

2006).

These transporters are associated with the efficient pumping of a drug out of the

tumour cells, and therefore, their expression level is inversely correlated with the

chemotherapeutic phenotype in various cancers (Choi et al. 2007). Conceivably, the

suppression of the P-gp expression, the human MRP 1 and/or the human MRP 2

transporters could decrease chemoresistance by increasing drug concentration inside

the cancer cells and therefore enhance the efficacy of chemotherapeutic treatments.

1.1.2.4 Cancer stem cells

There are at least two different models which can explain tumour initiation in vivo

(Figure 1-3), the stochastic model or the cancer stem cells model. In the stochastic

model, it is assuming that every cancer cells has the potential to proliferate and

regenerate a tumour (Ward & Dirks 2007). However, in the 1960s, studies had

already indicated that even if millions of cancer cells were inoculated in vivo, not all

the inplantations could develop into a palpable nodule (Brunschw, Southam & Levin

1965; Foo, Leder & Michor 2011). Thus, it is very difficult for the stochastic model

to account for this phenomenon as all cancer cells have an equal probability to

regenerate a tumour in this assumption.

Over the past several years, it has become widely accepted that the limited

efficacy of current anticancer treatments can be attributed to a small subset of cells

within tumours with the ability to proliferate and form new tumours (Al-Hajj et al.

2003; Koch, Krause & Baumann 2010). As these highly tumourigenic cancer cells

display some functional properties of normal stem cells, such as self-renewal and

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mulipotent differentiation (Deonarain, Kousparou & Epenetos 2009; Ebben et al.

2010; Shackleton 2010), they are often referred to as cancer stem cells (CSCs). CSCs

were initially identified in leukaemias and then implicated in various solid tumours

(Alvero et al. 2009; Hanahan & Weinberg 2011; Wakimoto et al. 2009). Increasing

evidence indicates that many, perhaps all, cancers are organised hierarchically with

CSCs and non-CSCs (Heuser & Humphries 2010). CSCs have the ability to generate

a xenograft histologically similar to the parent tumour. Daughter cells generated

from CSCs are able to proliferate but unable to initiate or mantain tumours due to

their lack of intrinsic regenerative potential (O'Brien, CA, Kreso, A & Jamieson,

CHM 2010). Although CSCs only represent a very limited proportion of all tumour

cells, they are resistant to traditional chemotherapy and radiotherapy which can kill

other cells in tumours (Bao et al. 2006). Thus, CSCs have the potential to propagate

and sustain tumourigenesis (Moitra, Lou & Dean 2011; Trumpp & Wiestler 2008;

Visvader & Lindeman 2008). Therefore, CSCs are defined as a small subpopulation

of self-renewing tumour cells which have the capacity to generate heterogeneous

lineages of all cancer cells comprising a tumour (Clarke et al. 2006).

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Figure 1-3. Stochastic versus cancer stem cell hypothesis of tumours (adapted from Ward and Dirks 2007). In the stochastic model (right), all cells within a heterogeneous human tumour have the ability to regenerate tumours. In contract, the cancer stem cell model (left) suggests that only a small subpopulation of cells within the tumour is tumourigenic.(Ward & Dirks 2007)

The CSC hypothesis is an attractive model to explain how established tumours are

able to propagate (Shackleton 2010). Based on this hypothesis, the bulk of cells in

the tumour are composed of non-CSCs which are non-tumourigenic and have limited

potential of proliferation (Koch, Krause & Baumann 2010). Compared to these

differentiated cancer cells, CSCs have slower cell cycling, lower proliferation, anti-

apoptosis genes and protective mechanisms for DNA repair (Deonarain, Kousparou

& Epenetos 2009; Phillips, TM, McBride & Pajonk 2006). Thus, CSCs are more

resistant to common chemotherapy and radiotherapy. There is increasing evidence

that CSCs share similar critical features with normal stem cells. For example, self-

renewal, the mechanism required for maintaining and expanding populations in

normal stem cells, can be found in CSCs (Hope, Jin & Dick 2004). Moreover,

differentiation, another functional capability of normal stem cells, can also be

observed in CSCs. Thus, due to these properties, the initiation of tumours and tumour

recurrences after anticancer therapies are thought to be associated with CSCs

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(Sánchez-García, Vicente-Dueñas & Cobaleda 2007). Furthermore, Chaffer et al.

indicated that non-CSCs have the potential to convert to CSCs both in vitro and in

vivo (Chaffer et al. 2011). Therefore, studies about CSCs will lead to a better

understanding of the mechanisms driving tumour growth as well as improved

diagnosis and therapy for tumours. The development of efficient treatment strategies

requires reliable and sufficient isolation of CSCs. Measurements of specific cell

surface markers by flow cytometry have been used for characterisation of CSCs

(Table 1-1).

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Table 1-1. Summary of markers used for cancer stem cells

Tumours Markers References Acute myeloid leukemia CD34+/CD38- (Kassem 2008)

Breast cancer

CD44+/CD24-/low

ALDH1+ CD133+

CD44+/CD24-/epithelial cell

adhesion molecule +

(EpCAM +)

(Lorico & Rappa 2011;

Stratforda et al. 2010; Velasco-

Velázqueza et al. 2012; Zheng,

Wb et al. 2012)

Brain cancer

CD133+

Nestin+

A2B5+

CD15+

(de Antonellis et al. ; Ishiwata,

Toshiyuki, Matsuda, Yoko. &

Naito, Zenya. 2011;

Tchoghandjian et al. 2010; Yu,

S-p et al. 2011)

Colon cancer

CD133+

EpCAM+

EpCAMhigh/CD44+/CD166+

CD44+/CD24+

CD24+/CD133+

CD24+/CD29+

(Kemper, Grandela & Medema

2010; LaBarge & Bissell 2008;

Levin et al. 2010; Yeung, Trevor

M. et al. 2010; Yu, X et al.

2011)

Pancreatic cancer

CD44+/CD24+/ EpCAM+

CD133+

CXCR4+

DCAMKL-1+

(May et al. 2010; Singh, S et al.

2010; Wei, H-J et al. 2011)

Prostate cancer

CD133+

CD44+/integrin 2 1+/CD133+

CD44+

FAM65Bhigh/MFI2low/LEF1low

ALDH1A1+

CD133+/ Trop-2+

(Hellsten et al. 2011; Lee, HJ et

al. 2011; Trerotola et al. 2010;

Zhang, K & Waxman 2010;

Zhang, Ye. et al. 2012)

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1.1.2.4.1 Breast cancer

Breast cancer is a complex and heterogeneous disease (Lorico & Rappa 2011).

Amongst solid tumours, it was the first one in which CSCs were identified and

isolated (Al-Hajj et al. 2003). A subpopulation of cells with high expression of CD44

but low levels of CD24 were able to form tumours in vivo with as few as 100 cells.

On the contrary, a large number of cells without this surface marker were found to

lack of tumour-initiating capacity. Moreover, a study into the role of CD44+ breast

CSCs in mice indicated its role in metastasis (Liu, H et al. 2010). Analysis in the

clinic also found there was a relationship between CD44+/CD24-/low breast cancer

cells and metastasis. Abraham et al. indicated that breast cancer patients who had a

high percentage of CD44+/CD24-/low cells had distant metastasis (Abraham et al.

2005). However, CD44 and its isoforms can be expressed in many cancer cell types.

It can also be used as a marker for other epithelial tumours, such as colon tumours

(Cho et al. 2012). Moreover, it has been shown that the silencing of CD24 did not

contribute to tumourigenicity (Lorico & Rappa 2011). Thus, more attention has been

given to other surface markers, such as aldehyde dehydrogenase (ALDH) and CD133,

with high activity of ALDH isoform 1 (ALDH1) observed in the tumourigenic cells

(Ginestier et al. 2007). Activation of the enzymatic activity of ALDH1 in breast

epithelium has been shown to be a marker of breast CSCs. Meanwhile, breast cancer

cells with ALDH1 displayed functional properties of stem cells such as renewal and

differentiation (Kunju et al. 2011). CD133, which is also known as Prominin-1, is a

transmenmbrane glycoprotein and is one of the most commonly studied markers for

isolating CSCs. Interestingly, CD133 has a much restricted expression compared to

CD44. Breast cancer cells with CD133 expression have been reported to possess a

higher ability to initiate tumours in nonobese diabetic/severe combined

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immunodeficiency (NOD/SCID) mice (Liu, Q et al. 2009). In other studies, EpCAM,

was used as another cell surface marker for CSCs. Fillmore et al. demonstrated that

breast cancer cells with CD44+/CD24-/EpCAM+ phenotype enriched for CSCs in

human breast cancer cell lines (Fillmore & Kuperwasser 2008).

1.1.2.4.2 Brain cancer

The cell surface marker CD133 is also used for the identification of CSCs in brain

tumours. Increasing data indicates the correlation between the CD133+ cells in

primary tumours and clinical outcome. Singh et al. demonstrated that a

subpopulation of CD133+ cells possesses stem cell properties in vitro. Meanwhile,

only the CD133+ brain tumour fraction was reported to initiate tumours in

NOD/SCID mice (Singh, SK et al. 2004). In clinical studies, an increased CD133

expression was reported to be related to a higher risk of tumour relapse in patients

with the World Health Organisation (WHO) grade 2 and grade 3 gliomas

(Zeppernick et al. 2008). Moreover, as few as 100 CD133+ cells could lead to the

initiation of tumours in NOD/SCID mice while 100-times more CD133- cells were

unable to propagate a tumour in vivo (Das, Srikanth & Kessler 2008). Nestin, an

intermediate filament (IF) protein, has been reported as another marker for brain

CSCs. The CD133+/Nestin+ cells showed self-renewal and tumour initiation

capacities (Ishiwata, Toshiyuki., Matsuda, Yoko. & Naito, Zenya. 2011). A2B5,

which is a cell surface ganglioside that marks neural precursor cells in the adult

human brain, was also demonstrated as another marker of brain CSCs (Gilbert &

Ross 2009). Tchoghandjian et al. reported that expression of A2B5 played a role in

the initiation and maintenance of brain tumours (Tchoghandjian et al. 2010).

Additionally, reports have shown that both A2B5+/CD133- and A2B5+/CD133+ cells

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had a higher ability to form tumours than A2B5-/CD133- cells (Ogden et al. 2008).

CD15, also known as stage-specific embryonic antigen 1 (SSEA-1), has been

demonstrated as an additional CSC marker for brain tumours. Cells isolated from

glioblastomas with CD15+ phenotype displayed stem cell properties (Kim, K-J et al.

2011).

1.1.2.4.3 Colon cancer

Colon CSCs were initially identified by CD133 expression. However, the use of

CD133 as a marker for identification and isolation for colon CSCs has been debated

as it can be expressed in many other tumours, such as brain tumours, kidney tumours

and prostate tumours, and epithelial cells of normal tissues (LaBarge & Bissell 2008;

Todarolow et al. 2010). Thus, cell surface markers other than CD133 have been

studied. For instance, cells positive for EpCAM have been reported to have an

engraftment property in NOD/SCID mice (Dalerba et al. 2007). Moreover, ALDH1

has been identified as a marker to detect CSCs in colon cancer (Deng et al. 2010).

Meanwhile, CD24, CD29, CD44 and CD166 were reported to enrich for colon

cancer CSCs (Abdul Khalek, Gallicano & Mishra 2010), and

EpCAMhigh/CD44+/CD166+ was identified as a phenotype of tumourigenic cells in

colorectal cancer (Dalerba et al. 2007). Cells sorted by fluorescence-activated cell

sorting (FACS) indicated that CD44 and CD24 can also be used as cell surface

markers of CSCs in the colorectal carcinoma cell line SW1222. SW1222 cells with a

CD44+/CD24+ phenotype have the ability to initate tumours in vivo (Yeung, Trevor.

M. et al. 2010). As well, Vermeulen et al. found that cells coexpressing CD24 and

CD133 had higher clonogenic potential. Meanwhile, cells with CD24 and CD29

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expression have been defined as the colorectal CSC population (Vermeulen et al.

2008).

In summary, as CSCs seems to be associated with mechanisms protecting tumour

cells from standard therapy, this minority subpopulation of cells could be used to

assist in the design of new and more effective anticancer therapies. For example,

disulfiram, an inhibitor of the cellular surface marker of CSCs ALDH, has been

reported to inhibit the mammosphere formation of breast cancer cells effectively in a

copper (Cu)-dependent manner (Yip et al. 2011).

1.1.2.5 Targeted anticancer therapy

Traditional anticancer therapy is based on the inhibition of cell division. Thus,

rapidly dividing cells, such as cells of the hair, gastrointestinal epithelium and bone

marrow, could be affected by drugs during treatment (Gerber 2008). In contrast,

targeted therapy is an approach which aims to block the proliferation of tumour cells

only. For example, targeted therapy can focus on the molecules which are mutant or

overexpressed in tumours. Antibodies against the cell surface markers cluster of

differentiation 20 (CD20) were utilised as one of the earlist targeted therapies in the

treatment of autoimmune disease, such as non-Hodgkin’s lymphoma (Feugier et al.

2005).

Targeted therapy includes various direct and indirect approaches. In direct

approaches, monoclonal antibodies (mAbs) or other small molecules which could

interfere with targeted proteins are used to target tumour antigens that have the

potential to alter signalling pathways; while in indirect approaches, ligands

containing a variety of effector molecules are utilised to target the antigens expressed

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on the cell surface (Wu, H-C, Chang & Huang 2006). Thus, anticancer

chemotheraputics can target tumour cells via tumour-specific receptor-ligand binding

of mAbs or other small molecules.

1.1.2.5.1 Antibody-targeted therapy

Antibodies, also known as “targeting missiles”, play a critical role in targeted

therapy. The US Food and Drug Administration (FDA) approved muromonab-CD3

(Orthoclone OKT3) as the first monoclonal antibody to prevent acute organ rejection

after transplantation by blocking T-cell function in 1986. Since then, another 20

mAbs have been approved, and approximately half of them are utilised for anticancer

treatment (Gerber 2008). The mechanisms underlying anticancer effects of mAbs

vary, such as recruiting host immune functions to attack target cells, or carrying a

lethal payload which is toxic to the targeted cells (Adams, GP & Weiner 2005). As

their protein structures are denatured in the gastrointestinal tract, mAbs are usually

administrated via i.v. injection. To minimise the undesirable effects of the

hypersensitivity reaction to the mouse proteins in humans, more and more mAbs

used now are humanised, having an greater proportion of human components (Carter

2001).

1.1.2.5.2 Small molecule inhibitors

Extensive investigations have indicated that mutation or overexpression of protein

phosphorylation-related pathways is often found in tumour cells (Freedman et al.

2002; Lammering et al. 2001). Thus, targeted anticancer therapy could be designed

to be mono-specific to avoid side effects to normal cells. Therefore, as well as mAbs,

small molecule inhibitors which could interrupt aberrant cellular signaling by

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interfering with key protein kinases involved, are also utilised for the targeted

anticancer therapy.

Unlike mAbs, small molecule inhibitors are chemically manufactured which is less

expensive than antibodies (Tanner 2005). However, due to the multitargeting nature

of the inhibitors, they are often less specific compared to mAbs (Imai & Takaoka

2006). Moreover, the half lives of most small molecule inhibitors are only a few

hours whereas mAbs have much longer half lives from days to weeks (Kantarjian, H

et al. 2002).

Most small molecule inhibitors are used to target plasma membrane-associated

protein tyrosine kinases (Cohen 1999). The first inhibitor was developed in the early

1980s and more than 30 agents are now in clinical trials (Dancey & Sausville 2003).

Imatinib, one of the first small molecule inhibitors, was approved in 2001 for the

treatment of chronic myeloid leukemia (Kantarjian, HM et al. 2003). Meanwhile,

small molecule inhibitors that target the epidermal growth factor receptor (EGFR)

pathway are utilised for solid cancer treatment, including non-small cell lung cancer

(Gerber 2008).

1.1.2.5.3. Aptamer-targeted therapy

Although antibodies have been widely used for active targeting in anticancer

treatments, the long clearance half-time and the incomplete penetration into target

tissues limit their use for imaging and therapy in the clinic (Hicke, Brian J. et al.

2005). Thus, new targeting agents are needed.

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Aptamers, single-stranded or double-stranded oligonucleotides selected via an in

vitro process of systematic evolution of ligands by exponential enrichment (SELEX,

Figure 1-4), can be considered as nucleic acid analogues of antibodies (Lee, JH et al.

2010). Compared to traditional antibodies, aptamers have strong affinities and high

specificities to their targets. Moreover, aptamers can bind to various non-nucleic acid

targets (Edwards & Baeumner 2007), such as ions (Ciesiolka, Gorski & Yarus 1995),

small molecules, proteins (Latham, Johnson & Toole 1994) or bacteria. In addition,

aptamers are simple to synthesis (Ellington & Szostak 1990; Tuerk & Gold 1990)

with reduced batch-to-batch variability (Floege et al. 1999; Thiel & Giangrande 2010)

and a lack of immunogenicity compared to antibodies (Wang, P, Yang, et al. 2011a).

Furthermore, the affinity and specificity of aptamers can be further optimised via

post-selection engineering (Floege et al. 1999; Keefe & Cload 2008). Notably,

aptamers have been well-documented to be quite stable even under extreme

conditions, such as extremely high or low pHs, which means they can be denatured

and renatured multiple times without significant loss of activity (Liss et al. 2002).

Furthermore, aptamers are capable of greater specificity and affinity compared to

antibodies (Willner & Zayats 2007). Thus, aptamers have the potential to greatly

facilitate the development of novel anticancer applications. As CSCs have become

the focus of anticancer treatments nowadays, new aptamers have been developed for

targeting CSCs. For example, Shigdar et al. has developed the RNA aptamer against

a CSCs marker EpCAM and it was demonstrated to be internalised through receptor-

mediated endocytosis efficiently upon binding cancer cells (Shigdar et al. 2011).

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Figure 1-4. SELEX technology (adapted from Esposito, Catuogno et al. 2011). The initial step of SELEX procedure is the synthesis of a single-stranded nucleic acid (RNA/DNA) library of large sequence complexity. Then, the folded oligonucleotides are selected by the capability of binding with high affinity and specificity to target molecules. Unbound oligonucleotides are removed by several stringent washing steps of the binding complexes. The target-bound oligonucleotides are eluted and subsequently amplified by the polymerase chain reaction (PCR) or reverse transcription-polymerase chain reaction (RT-PCR). The newly generated nucleic acid pool serves as a starting library for a new SELEX cycle. The number of SELEX repetitions depends on the library type used and on specific enrichment achieved per selection cycle and 6 to 20 SELEX rounds are usually needed for the selection of high affinity, target-specific aptamers. After the last round of aptamer selection, the PCR products are cloned and sequenced. (Esposito et al. 2011)

1.2. Cancer nanotechnology

Traditional anticancer chemotherapy is characterised by poor functional specificity

for tumour cells. As a result, anticancer drugs generally have relatively low

therapeutic effects as well as serious side effects, such as bone marrow suppression,

gastric erosion, hair loss, renal toxicity and cardiomyopathy, etc. (Myc et al. 2010;

Surendiran et al. 2009). Hence, one of the main goals of modern cancer

chemotherapy is to develop a safe and effective drug carrier that could act

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preferentially at the selected targets while leaving normal tissues intact (Gullotti &

Yeo 2009). To improve the efficacy of drug delivery, nanotechnology-based drug

delivery systems are gaining considerable attention as they have the potential to

reduce side effects, minimise toxicity and improve anticancer efficacy (Suri, Fenniri

& Singh 2007).

Nanotechnology is the engineering and manufacturing of nano-sized molecules

using atomic or molecular components, which can be expected to benefit all fields of

medicine (Alexis, Frank, Rhee, June-Wha, et al. 2008). It is considered to be an

emerging technology that will have a significant impact on the advancement of

tumour therapies (Kim, KY 2007). Novel advances in drug delivery and formulations

to tumours are utilising nanotechnology that has been applied to overcome some of

the problems associated with traditional chemotherapeutic treatment of tumours

(Bawarski et al. 2008; Minko et al. 2006). Various nanotechnology platforms such as

dendrimers, liposomes, polymeric micelles and solid nanoparticles are being

developed (Bawarski et al. 2008; Surendiran et al. 2009). The utilisation of

nanoparticles as carriers of conventional chemotherapeutic agents has been shown

experimentally to improve cancer treatment efficacy (Ma et al. 2009).

Tumour tissues differ from healthy tissues in several aspects, with researchers

exploiting these differences when developing improved anticancer agents. The

defective vasculature and impaired lymphatic system leads to the EPR effect,

resulting in selective extravasation and accumulation of macromolecules in tumours

(Gullotti & Yeo 2009). The nanoparticle delivery system, such as nanoshells,

polymer micelles and liposomes, is based on the EPR effect, enhancing drug efficacy

and reducing non-specific toxicity as a reduction in systemic exposure (Ma et al.

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2009; Maeda, Hiroshi 2001). Indeed, according to extensive studies, the

concentration of polymer drugs in the tumour could be 10 to 100 fold higher than

that of the free drug (Ganta, Srinivas et al. 2008). To take advantage of the EPR

effect, nanoparticles with passive targeting properties are utilised. Most fenestrate

openings in tumours are below 150 nm, so the nanocarriers can be made with a size

smaller than 150 nm for efficient extravasation. However, the filtration ability of the

kidney can filter particles smaller than 10 nm (about 70,000 Da), while particles

larger than 100 nm could be captured by the liver. Therefore, the ideal size of

nanocarriers for drug delivery is 10 to 100 nm as particles with such sizes minimise

extravasation in normal tissues but allow efficient accumulation at the tumour site

(Gullotti & Yeo 2009).

When nanoparticles are i.v. administered, they often bind with serum proteins and

are recognised by the scavenger receptor on the surface of macrophages, which leads

to a significant loss of nanoparticles in the circulation (Li, S-D & Huang 2008). The

proteins binding to the nanoparticles are termed “opsonins”, and the system

contributing most to the loss of injected nanoparticles is known as the

reticuloendothelial system (RES) or mononuclear phagocyte system (Drummond, D.

C. et al. 1999b). Thus, it is also critical to prevent nanoparticle uptake by the RES

(Drummond, D. C. et al. 1999b), which can destroy foreign materials by opsonisation

followed by phagocytosis (Gullotti & Yeo 2009). A widely used strategy for

shielding nanocarriers is to coat the surface of nanocarriers with a hydrophilic

polymer or glycolipid, such as polyethylene glycol (PEG) (Drummond, D. C. et al.

1999b; Gullotti & Yeo 2009; Yan et al. 2009). These flexible chained polymers or

glycolipids can occupy the sites on the surface of nanocarriers that would otherwise

bind with plasma opsonins from the RES macrophages (Drummond, D. C. et al.

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1999b; Newton 2006; Remauta et al. 2007). Thus, the prolonged circulation time of

nanoparticles in the bloodstream increases the ability of drugs to reach their sites of

action, thereby improving the efficacy and safety as compared with conventional

preparations (Ma et al. 2009; Surendiran et al. 2009).

1.2.1 Nanoparticle therapeutics for cancer

Anticancer nanoparticle therapeutics typically utilise particles composed of

therapeutic agents that are assembled with nanomaterials, such as lipids, dendrimers,

and inorganic semiconductor nanocrystals (Davis, Chen & Shin 2008; Ganta,

Srinivas et al. 2008). The resulting nanoparticles may have functional properties that

are conferred through the assembly of individual components but not by the

individual components alone (Alexis, Frank , Rhee, June-Wha , et al. 2008). Studies

indicate that nanoparticles used in cancer chemotherapeutics possess more specific

targeting ability to tumour cells. The enhanced drug absorption and bioavailability of

anticancer agents results in an improved anticancer efficacy and decreased side

effects (Davis, Chen & Shin 2008; Li, S-D & Huang 2008). Some nanoformulations

of traditional anticancer agents have already been approved for use in the clinic. For

example, Doxil® and Abraxane® are two nanoformulations approved by the US FDA

for cancer treatment. Doxil® is a long circulating formulation of doxorubicin (DOX),

which has been well known for significant improvements over free DOX. Abraxane®

is an albumin-bound nanoparticle formulation of paclitaxel for the treatment of

metastatic breast cancer, reducing the hypersensitivity reaction associated with the

traditionally used solvent for paclitaxel (Bharali et al. 2009). Other nanocarriers,

such as co-polymer poly (lactic-co-glycolic acid), have also been approved by the US

FDA for the use of drug delivery, diagnostics and other applications of clinical and

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basic science research, including cancer (Lü et al. 2009). The enhanced anticancer

effects and improved safety compared with their free-drug counterparts are due to the

size and surface properties of the nanoparticles.

1.2.1.1 Size

To protect the human body from invasion by foreign particles, the immune system

and other mucosal barriers function as biological barriers (Alexis, Frank , Pridgen,

Eric , et al. 2008). Anticancer nanoparticles should have the potential to bypass these

barriers to reach their target. The unique size of nanoparticles contributes to

overcoming these barriers as well as the accumulation in tumours. It is widely

accepted that the diameter of nanoparticles for cancer treatment should be in the

range of 10 to 100 nm (Davis, Chen & Shin 2008; Gullotti & Yeo 2009). The lower

limit is based on renal filtration, where particles smaller than 10 nm are rapidly

cleared by the kidneys. The upper limit is based upon pore sizes in the liver and the

spleen. The diameter of fenestrae sizes in the liver is 50-100 nm, while the size can

be up to 150 nm in the spleen (Alexis, Frank , Pridgen, Eric , et al. 2008; Campbell

2006; Drummond, D. C. et al. 1999b). Therefore, nanoparticles of 10 - 100 nm in

size which can penetrate the tumour vasculature will still be accumulated in the liver

and spleen which are two other accumulation sites of nanoparticles in addition to

tumours (Davis, Chen & Shin 2008; Drummond, D. C. et al. 1999b) and are removed

mainly by macrophages residing in these two organs. Thus, if the nanocarriers can

avoid being removed by macrophages, they are free to pass in and out of the liver

and spleen and have more opportunities to get into the tumours (Drummond, D. C. et

al. 1999b). One of the classical approaches to avoid particle clearance of

macrophages is to administer large doses of placebo carriers to impair the phagocytic

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capacity of macrophages, thereby allowing subsequently administered drug-

encapsulated nanoparticles to remain in systemic circulation for prolonged periods or

to reach designated targets (Moghimi & Davis 1994). Other approaches, including

modification of the surface of nanocarriers, have been introduced to prolong the

circulation life (Fang, Hu & Zhang 2012).

1.2.1.2 Surface properties of nanoparticles

Nanoparticles have higher surface-to-volume ratio than larger particles. As a result,

control of nanoparticle surface properties is essential to control their behaviour

(Davis, Chen & Shin 2008). Key nanoformulation properties that are important for

drug delivery are biocompatibility and biodegradability, ensuring that unloaded

carriers are human degradable or metabolised into non-toxic components and cleared

by the body (Malam, Loizidou & Seifalian 2009). The rapid loss of nanoparticles

from the circulation before reaching their targets can affect the efficacy of the

nanoparticle therapeutics. To minimise the loss, strategies have been devised not

only with regard to optimising their size, but also surface modification of

nanoparticles. To improve tumour targeting, the surface of nanoparticles can be

modified in different ways, with both passive and active targeting strategies are

utilised to modify the surface of nanoparticles.

1.2.2.2.1 Passive targeting properties

Passive targeting strategies rely on the passive accumulation of nanoparticles due

to the properties of the delivery system and/or the pathophysiology of target tissues.

For example, retention due to the increased size of nanoparticles is one approach of

passive targeting, taking advantage of the EPR effect (Hoffman 2008). Furthermore,

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nanoparticles that are sterically stabilised by other polymers, such as PEG, on their

surface can also increase the circulation time of nanoparticles in the bloodstream and

protect the nanoparticles from the RES, a property that is critical for nanoparticles to

escape from rapid clearance in the circulation (Drummond, D. C. et al. 1999b). In

addition, it has been well-documented that the physicochemical characteristics of

nanoparticles such as surface charge or functional groups can affect its uptake by

cells of the phagocytic system, resulting in a prolonged half-life in the bloodstream

(Gabizon, A, Shmeeda & Barenholz 2003; Ogawara, K-i et al. 2009; Yan et al. 2009).

A slightly charged surface, either positive or negative, on the nanoparticle can

protect the nanoparticles from undesired aggregation due to a reduction in self-to-self

or self-to-non-self interactions (Davis, Chen & Shin 2008; El-Aneed 2003). However,

renal filtration has the ability to filter positively charged particles (Gullotti & Yeo

2009). On the other hand, blood vessels repel negatively charged nanoparticles

(Davis, Chen & Shin 2008). Therefore, nanoparticles carrying a positively charged

surface are expected to have a high non-speci c internalisation rate and short blood

circulation half-life whereas negatively charged particles would perform better when

delivering drugs into tissues as they diffused at a faster rate (Kim, B et al.

2010). Taken together, control of surface charge will help to prevent the loss of

nanocarriers. The pH-sensitive nanoparticle is another example of passive targeting

nanocarriers. Tumour cells often proliferate rapidly. As a result, it is difficult for the

expanding tumour cell population to obtain sufficient oxygen and nutrients from the

tumour vasculature. Regions distant from vessels have slow cellular growth,

substantial cell death, and necrosis due to insufficient oxygen and nutrient supply

from vessels (Figure 1-5) (Campbell 2006). Moreover, lack of oxygen leads to

production of CO2, carbonic acid and lactic acid, resulting in low interstitial pH,

another characteristic of the tumour microenvironment (Schornack & Gillies 2003).

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As a result, the pH around tumour tissues could be 5.5 to 6.5 (Ganta, Srinivas et al.

2008). Therefore, pH-responsive nanocarriers have significant enhanced stability in

circulation but release their payload (chemotherapy drugs) in the tumour. For

example, a 5-fluorouracil-loaded pH-responsive dendrimer nanocarrier showed a

significant faster release rate at pH 6.5 than at pH 7.4, resulting in a longer half-life

after i.v. administration and high tumour targeting in mice (Jin et al. 2011).

Figure 1-5. The tumour microenvironment (adapted from Minchinton and Tannock 2006). Tumour cells generally have accelerated proliferation which is dependent on the supply of oxygen and nutrients. Therefore, cells surrounding blood vessels proliferate actively while those away from blood vessels inevitably die. (Minchinton & Tannock 2006)

1.2.2.2.2 Active targeting

Passive targeting approaches, however, have several limitations and nanoparticle

targeting is ubiquitous and non-specific, leading to inefficient diffusion and

difficulties in the control of the drug delivery process. Moreover, certain tumours

lack the EPR effect which is a prerequisite for passive targeting (Peer, Dan et al.

2007). Functionalising the surface of nanoparticles with ligands such as antibodies,

aptamers, peptides, or small molecules that are tumour-speci c or tumour-associated

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can promote the active binding of nanoparticles to tumours (Alexis, Frank, Rhee,

June-Wha, et al. 2008).

Recently, due to a better understanding of cancer and the revolution in medicine,

targeted therapies in cancer has been developed (Malinowsky et al. 2010). MAbs and

small molecule inhibitors are two major types of targeted therapy that can lead to the

selective inhibition of proliferation of cancer cells rather than normal rapidly

dividing cells such as hair, gastrointestinal epithelium and bone marrow (Gerber

2008). The FDA has already approved several mAbs for cancer treatment. For

example, Alemtuzumab, targeting CD52, was approved for chronic lymphocytic

leukemia successfully (Gerber 2008). Signaling pathways in tumours now become

the focus of development of targeted anticancer therapies and kinases within such

pathways are of specific intesest. For example, cetuximab, which targets the

epidermal growth factor receptor (EGFR), has been used for the treatment of

metastatic colorectal cancer in clinic (Dietel & Sers 2006). In a word, mAbs have

been extensively used for molecular targeting as its high affinity, specificity as well

as a variety of targets (Hicke, Brian J. et al. 2005; Syed & Pervaiz 2010).

Thus, combining nanoparticles with small molecules which could target cancer

cells or CSCs could improve the targeting property of nanoparticles as they can

recognise and bind to target cells via ligand-receptor interactions. Importantly, to

maximise specificity in binding, the antigen or receptor on the target cells should be

overexpressed in cancer. For example, nanoparticles with folic acid can target

tumour cells overexpressing folic receptor (Goren, D. et al. 2000). The poly[N-(2-

hydroxypropyl) methacrylamide] copolymer containing DOX, known as PK2, was

used to target the asialoglycoprotein receptor which is highly expressed on primary

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liver cancer cells (Julyan et al. 1999). Anti-Her2-targeted immunoliposomal DOX

was designed based on the overexpression of HER2 receptors and study has

indicated that the therapeutic efficacy of the targeted liposomal formulation was

superior to its non-targeted counterpart for breast cancer (Park, JW et al. 2002).

Furthermore, binding of certain ligands to their receptors can result in receptor-

mediated internalisation, while binding of some other ligands can lead to non-

internalisation. The former approach can contribute to the release of agents inside the

cells. For example, immunoliposomes with an internalizing anti-CD19 ligand had a

significantly improved therapeutic efficacy than their counterpart with a non-

internalizing anti-CD20 ligand (Sapra, P. & Allen 2002). On the contrary, the latter

approach has the advantage of killing tumours by releasing drugs outside the tumour

cell, followed by passive diffusion into the target cells (Figure 1-6) (Allen, T. M.

1994a, 2002).

Figure 1-6. Active cellular targeting of nanoparticles (adapted from Peer, Karp et al. 2007). Binding of certain ligands on nanocarriers to their receptors can result in (i) Releasing their contents in close proximities to the target cells; (ii) Attaching to the membrane of the cell and acting as an extracellular sustained-release drug depot, or (iii) Internalising into the

cell. (Peer, Dan et al. 2007)

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Overall, surface functionality is a critical parameter in the development of

nanoparticles. The minimisation of the loss of nanoparticles via sterical stabilisation,

control of surface charge and modification with ligands would enhance their

diagnostic and therapeutic potential (Yang, C et al. 2008).

1.3. Liposomes

Lipids are functional components of the biomembrane. Liposomes are created by

self-assembly of lipids, which enclose an aqueous space (Figure 1-7) (Bawarski et al.

2008; Hafez & Cullis 2001; Kshirsagar et al. 2005). Liposome research into drug

encapsulation and delivery has been carried out since the 1970s. Liposomes have

been used for anticancer nanoparticles since the mid-1990s (Davis, Chen & Shin

2008; Kim, KY 2007) and liposome-derived technology is established as one of the

cornerstones of nanotechnology in various fields, including medicine (Jesorka &

Orwar 2008). Several liposomal formulations, such as liposomal formulation of

DOX (Doxil®) and daunorubicin (DaunoXome®), have received clinical approval

due to their improved pharmacokinetics (PK) and pharmacodynamics of anticancer

agents. Other liposomal anticancer drugs are currently being studied in clinical trials

(Allen, T. M. & Cullis 2004).

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Figure 1-7. Liposomes (adapted from Davis, Chen et al. 2008). Liposomes are self-assembling colloid structures composed of lipid bilayers surrounding an aqueous compartment, and can encapsulate a wide variety of therapeutic agents both in the internal aqueous space and/or in the lipid bilayer. (Davis, Chen & Shin 2008)

1.3.1 History and development of liposomes for anticancer drug delivery

Liposomes were discovered in 1965 (Bangham, Standish & Watkins 1965). As

liposomes are bilayers of lipids, they were widely used as a model of cellular

membranes initially (Metteucci & Thrall 2000). However, soon after their initial

discovery, they were recognised as novel drug carriers for diagnostic and therapeutic

agents (Phillips, WT, Goins & Bao 2009; Wiechers 2005).

Stability is a critical factor that should be taken into consideration for the design

and development of liposome-based drug delivery systems. The chemical stability of

lipids and drugs, the physical or colloidal stability of liposomes and the drug release

properties contribute to the overall stability of liposome-based formulations of drugs

(Domb et al. 2007). The classic liposomes, also known as conventional liposomes,

might be cleared by the RES quickly from circulation within minutes to hours after i.

v. administration (Domb et al. 2007; Metteucci & Thrall 2000; Oku & Namba 1994).

Therefore, due to the poor performance of conventional liposomes in vivo, they have

limited clinical applications. As a result, reduced opsonisation of liposomes is

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expected to prolong their circulatory half-life in the bloodstream and increase the

possibility of accumulation in tumour tissue due to the EPR effect (Fenske & Cullis

2005). As opsonins and RES play important roles in the stability of nanoparticles,

minimising the binding of opsonins to nanocarriers is critical to developing long

circulating nanocarriers (Lasic, Danilo D. & Needham 1995; Ogawara, K-i et al.

2009). To avoid RES trapping of liposomes, the approach to surface modification of

liposomes to escape fast removal from the circulation has been considered (Hao et al.

2005; Oku & Namba 2005). Improvement, including the reduction in diameter and

modification of the surface of conventional liposomes had been introduced to

prolong the liposomes circulation life. One of the most important breakthroughs in

liposome-based formulations was the discovery of a PEG coating (Metteucci &

Thrall 2000). PEG is a semi-crystalline, hydrophilic polyether with a high solubility

in water and other aqueous media (Allen, T. M. et al. 1991; Senior et al. 1991). PEG

can slow down liposome recognition by opsonins via the formation of a protective

layer over the liposome surface, leading to decreased clearance of liposomes

(Gabizon, AA 2001b). As a result, PEG-coated liposomes generally have a longer

circulation half-life in the bloodstream than conventional liposomes. Numerous

studies have demonstrated that PEG-coated liposomes could accumulate in the

cancer via the EPR effect avoiding the fast clearance in the RES (Cattel, Ceruti &

Dosio 2003; Dos Santos et al. 2005; Ogawara, K et al. 2008). Thus, they are known

as sterically stabilised liposomes (Domb et al. 2007; Metteucci & Thrall 2000;

Moreira et al. 2002). The sterically stabilised liposomes also have the potential to

improve the efficacy of chemotherapy for cancer and reduce side effects (Song, CK

et al. 2009). This is best illustrated by Doxil®, a liposomal formulation of DOX.

DOX is an anthracycline anticancer drug. Although it is widely used in the clinic, the

cardiotoxicity of this drug limits its clinic utility. When a cumulative DOX dose

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reaches 450 to 500 mg/m2, congestive heart failure and death often occur. The

advantages of Doxil® are greater efficacy and lower cardiotoxicity when compared

with free drug (Goyal et al. 2005; Hofheinz et al. 2005; Malam, Loizidou & Seifalian

2009). It is widely used to treat cancer in AIDS-related Kaposi sarcoma and multiple

myeloma in clinic (Ning et al. 2007).

Additional surface functionalities of liposomes have also been utilised.

Conjugating targeting molecules, such as antibodies, ligands, peptides, or aptamers,

to the surface of liposomes leads to active targeting liposome formulations (Gullotti

& Yeo 2009; Nallamothu et al. 2006; Newton 2006). The surface of circulating cells

such as lymphocytes, various antigens like p185HER-2, and low molecular weight

mAbs have also been the subject of research for targeting liposome formulations

(Domb et al. 2007). Tumour targeting agents can be attached to the liposome

phospholipid headgroups or to the end of a PEG derivative, and the latter approach

has proven to be more effective due to better accessibility of the antibody to its target

(Domb et al. 2007; Newton 2006). Several mAbs have been shown to deliver

liposomes to their targets (An et al. 2008; Lapalombella et al. 2008). For example,

when liposomal formulations of topotecan, vinorelbine, and DOX were attached with

the anti-CD166 single chain variable fragment, they showed efficient and targeted

uptake by prostate cancer cell lines, Du-145, PC3, and LNCaP (Roth et al. 2007).

Recent research on ligands for liposomes has focused on specific receptors

overexpressed on target cells or certain specific components of pathological cells.

For example, folic receptor is frequently overexpressed in a range of tumour cells.

The folate-targeted liposomes have already demonstrated their therapeutic potential

for murine lung carcinoma and human epidermoid KB carcinomas (Gabizon, A et al.

2003; Lu & Low 2002). Epidermal growth factor receptor-targeted liposomes were

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shown to have improved efficacy of encapsulated DOX, epirubicin and vinorelbine

in vivo (Mamot, C. et al. 2005; Molema 2005).

1.3.2 Characterisation of liposomes

Liposomes are composed of natural components such as pure lipids or lipid

mixtures. The most commonly utilised lipids are phospholipids, in particular the

neutrally charged phosphatidylcholine and the negatively charged phosphatidic acid,

such as phosphatidylglycerol, phosphatidylserine and phosphatidylethanolamine

(Jesorka & Orwar 2008; Lammers, Hennink & G 2008). The amphiphilic

phospholipid molecule has a structure containing both a polar region and nonpolar

aliphatic chains. When placed in an appropriate environment and at specific

concentrations, these lipids self-associate into a spherical structure with an aqueous

interior core. The hydrophilic polar groups face the core, while the hydrophobic

nonpolar portions are tucked into the interior of the membrane bilayer (Bawarski et

al. 2008; Phillips, WT, Goins & Bao 2009).

Liposomes can vary in the number of lipid layers they possess and therefore be

classified into several categories according to their size and lamellarity:

multilamellar vesicles, oligolamellar vesicles, unilamellar vesicles, giant unilamellar

vesicles, large unilamellar vesicles, medium-sized unilamellar vesicles, small

unilamellar vesicles and multivesicular vesicles (Figure 1-8) (Malam, Loizidou &

Seifalian 2009), and can range from 50 nm to several micrometres (Phillips, WT,

Goins & Bao 2009). Multilamellar vesicles bigger than 0.5 m are frequently used in

pharmaceutical and cosmetic applications, whereas small unilamellar vesicles (from

20 nm to 200 nm), large unilamellar vesicles (up to 1 m) and giant unilamellar

vesicles (larger than 1 m) are the three most important groups for analytical

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applications (Domb et al. 2007; Jesorka & Orwar 2008). Furthermore, small

unilamellar vesicles are widely used for novel drug delivery carriers. However,

considering the loading efficiency, stability in the bloodstream and the ability of

extravasation, liposomes ranging from 50 to 150 nm are most promising for drug

delivery (Metteucci & Thrall 2000; Phillips, WT, Goins & Bao 2009).

Figure 1-8. Liposome classification (adapted from Jesorka and Orwar 2008). Liposomes can be classified into different categories, such as multilamellar vesicles, giant unilamellar vesicles, large unilamellar vesicles, small unilamellar vesicles and multivesicular vesicles.

(Jesorka & Orwar 2008)

As liposomes are composed of naturally biodegradable substances, they are

metabolised and cleared while in circulation or upon reaching the target sites, making

them safe novel drug delivery carriers (Domb et al. 2007). Both water-soluble and

lipid soluble drugs can be carried by liposomes due to its amphiphilic property. The

closed bilayer vesicles have two potential compartments to encapsulate substances.

The hydrophilic substance can be entrapped by the hydrophilic aqueous core while

lipid soluble substances can be trapped by the hydrophobic interior of the membrane

(Samad, Abdus, Sultana, Y. & Aqil, M. 2007). Moreover, various methods can be

used to encapsulate substances. Depending on molecular weight, solubility and

polarity, substances can be trapped either during liposome assembly or loaded into

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preformed liposomes by different methods. For example, drug loading into

liposomes can be achieved via liposome formation in an aqueous solution saturated

with soluble drug, via solvent exchange using organic solvents, via the use of

lipophilic drugs, and via gradient loading methods (Qiu, Jing & Jin 2008).

Amphipathic drugs such as DOX can be encapsulated into preformed liposomes with

an ammonium sulphate gradient method or a pH gradient while hydrophlic drugs can

be trapped into liposomes upon lipid hydration by passive loading (Domb et al. 2007;

Metteucci & Thrall 2000). Furthermore, the surface of liposomes can be modified by

different approaches. For example, PEGylation, the coating liposomes with PEG, or

ligand attachment are widely utilised to improve the stability and targeting of

liposomes.

1.3.3 Advantages of liposomes for anticancer drug delivery

Many current anticancer drugs have non-ideal properties, which can lead to

serious consequences, including side effects, lack of efficacy or poor quality of life

with high drug toxicity being a major barrier to the efficacy of anticancer drugs

(Allen, Theresa M. et al. 2006). Since the 1960s, liposomes as carriers for cancer

chemotherapeutic agents have been investigated in order to improve the efficacy of

anticancer drugs (Song, CK et al. 2009).

Liposomes are very versatile drug carriers. Pharmaceutical properties such as

encapsulation efficiencies of drugs and drug release rates can be manipulated. The

various sizes of liposomes contribute to a wide variety of options for utilisation

(Chrai, Murari & Ahmad 2002; Tran, Watts & Robertson 2009; Wiechers 2005;

Yang, C et al. 2008). Moreover, liposomes can carry abundant agents due to their

large payload. In addition, the outer lipid bilayer allows the incorporation of other

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molecules, and therefore liposomes can target specific tissues by either active or

passive targeting modification (ElBayoumi, aA & Torchilin, VP 2009; Malam,

Loizidou & Seifalian 2009; Song, CK et al. 2009). Thus, different formulations of

liposomes can match different requirements in the chemotherapeutic treatment of

tumours.

As the size and surface properties of liposomes can be easily manipulated, one can

manufacture liposomes that have desired circulation times in the bloodstream. In

addition, the release kinetics of drugs in liposomes can also be modulated to match

different requirements (Davis, Chen & Shin 2008; Park, K 2007; Torchilin 2006).

Thus, the pharmacokinetic features as well as the targeting specificities of liposomes

can be controlled and modified to reduce the side effects of anticancer drugs and

enhance the efficacy.

1.3.3.1 Enhanced stability of liposomal drug formulation

Liposomes have a high therapeutic drug-to-carrier ratio relative to their diameter

(Allen, Theresa M. et al. 2006). The drug carried by the liposome (the payload),

particularly those encapsulated in the liposomes, can be substantially protected from

enzymatic degradation or inactivation in the plasma as well as unfavourable pH

which can lead to rapid breakdown of free drugs. As a result, when drugs are inside

liposomes, their half-life can be prolonged several hours or more due to enhanced

stability. Paclitaxel (Taxol), a strong antitumour agent, is a prime example. The low

aqueous solubility of paclitaxel and hypersensitivity reactions in patients to

Cremophor EL-containing paclitaxel range from mild pruritus to systemic

anaphylaxis and limit its clinical applications (Paál, Müller & Hegedûs 2001).

Studies showed that liposome formulations of Taxol enhanced the aqueous solubility

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as well as the physicochemical stability (Yang, T, Cui, Choi, Lin, et al. 2007).

Another example is topotecan that is hydrolysed rapidly at physiological pH, limiting

its clinic applications. To improve the stability and antitumour activity of topotecan,

Drummond and colleagues encapsulated the drug in liposomal formulations with an

acidic internal pH (Drummond, D. C. et al. 2010; Hao et al. 2005).

1.3.3.2 A controlled release system of anticancer drugs

The rate of release of the payload in liposome formulations depends on drug

properties, liposome composition, the presence or absence of pH or osmotic

gradients, the liposome environment and the in vivo stability of the liposomes (Allen,

Theresa M. et al. 2006; Lamprecht , Bouligand & Benoit 2002). Arsenic trioxide can

be used for the treatment of acute promyelocytic leukemia and relapsed multiple

myeloma. However, its clinical utility has been limited by its toxicity at high doses.

Liposome encapsulated arsenic trioxide appeared to be stable in physiological

situations but released the drug in a lower pH environment, such as in tumour tissues

or in endosomes. As a result, the liposome formulation of arsenic trioxide has the

potential to decrease the toxicity of this powerful anticancer drug in healthy tissues

(Chen, H et al. 2006).

Moreover, the phospholipids at the surface of liposomes can be modulated to

provide desired drug release rates. For example, alteration of surface charge can not

only enhance drug incorporation but also influence the rate of drug release (Ranade

1989). As a result, liposomes can function as sustained release systems due to their

ability to control drug release rates and to protect assembled labile drugs. Sterically

stabilised liposomes, for example, usually have a sustained release of loaded

substances as well as prolonged circulation time, leading to the improvement of

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bioavailability of the agents. A number of studies showed Doxil® targeted tumours

passively, and released DOX slowly in tumours once the liposomes localise in the

tumour interstitial space (Allen, Theresa M. et al. 2006; Cabanes et al. 1999;

Unezaki et al. 1994).

Furthermore, the release kinetics of agents from the liposomes can be modified by

other factors. One of the examples is pH-responsive liposomes that belong to a

specific-sensitive system (Kale & Torchilin 2010). The pH surrounding the tumour

ranging from 5.5 to 6.5, tends to be more acidic than physiological pH which is 7.4

(Trédan et al. 2007). As a result, utilising pH-responsive nanocarriers has significant

enhanced stability in circulation and accumulation in the tumour when compared

with non-pH-responsive carriers (Yu et al. 2004). Long circulation pH-responsive

liposomes can be designed by modifying sterically stabilised liposomes via insertion

of a hydrophobically modified N-isopropylacrylamide/methacrylic acid copolymer in

the lipid bilayer of sterically stabilised liposomes (Bertrand, Simard & Leroux 2010).

The pH-responsive liposomes with target-specificity are used to deliver molecules or

macromolecules into the cytoplasm (Mujumdar & Siegel 2008). By selecting the pH

and interliposomal buffer, pH-stimulated release of drugs entrapped in liposomes has

the potential to increase membrane permeability upon acidification (Ganta, Srinivas

et al. 2008). Studies regarding pH-sensitive immunoliposomes encapsulated with

cytosine arabinoside indicated that the pH-sensitive liposomal formulation could be

beneficial in the treatment of acute myeloid leukaemia (Roux et al. 2002; Simard &

Leroux 2009). Another example of the specific-sensitive systems is thermo-sensitive

liposomes that are composed of appropriate phospholipids with a phase transition

temperature around 40°C. The liposome formulation can release their contents by

selective application of hyperthermia (40-42°C). As a result, the release of drugs

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from temperature-sensitive liposomes can be controlled via the use of the

hyperthermia. Studies on the therapeutic efficacy of DOX encapsulated temperature-

sensitive liposomes found that these liposomes could be highly efficacious carriers

for the in vivo delivery of anticancer drugs, and have potential anticancer

applications in combination with hyperthermia (Han et al. 2006; Hauck et al. 2006).

1.3.3.3 Reversal of MDR

Evidence is accumulating to indicate that liposomes have the potential to bypass

MDR, mediated by the MRP or P-gp, which is a key obstacle to cancer treatment

(Malam, Loizidou & Seifalian 2009). Targeted liposomes may overcome MDR as

they can bind to cell-surface receptors and are then endocytosed, leading to the

potential to bypass MDR conferred through cell-surface protein pump mechanisms

(Alexis, Frank, Rhee, June-Wha, et al. 2008; Malam, Loizidou & Seifalian 2009).

Previous studies have already indicated that liposomal DOX has anti-tumour effects

on both DOX-resistant and non-DOX-resistant mouse tumour C26 cancer models

(Malam, Loizidou & Seifalian 2009). Moreover, liposomes with specific antibodies

which blocked P-gp mediated efflux have been shown to increase intracellular drug

accumulation and enhanced cytotoxic effects of DOX on multidrug-resistant P388

cells (Gatouillat et al. 2007). Other liposomal anticancer drugs, such as verapamil,

had also illustrated the ability to overcome P-gp-mediated MDR phenotype in K562

leukaemia cells when conjugated to transferrin modified liposomes (Wu, J et al.

2007). Furthermore, pH-sensitive liposomes demonstrate greater antitumour activity

when compared with free drugs in a drug-resistant mouse model (Davis, Chen &

Shin 2008). Recently, liposomes conjugated to oligonucleotides and small interfering

RNA were effectively tested to overcome MDR in cancers expressing P-gp (Minko

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et al. 2006). Finally, liposomes composed of certain phospholipids, such as

cardiolipin, have been shown to elevate the cytotoxicity of loaded anticancer agents

against resistant cells by either direct blocking of P-gp or increasing intracellular

drug concentration (Gokhale et al. 1996; Thierry et al. 1993).

1.3.3.4 Improved PK and BD

The most compelling property of liposomes is their ability to significantly alter the

PK and BD of many of their associated drugs. Encapsulation within liposomes

allows the drug to be bioavailable following their release from carriers at the tumour

site under optimal conditions. The liposomes protect drugs from metabolism and

inactivation in the circulation as well as from clearance due to the size of the free

drug (Li, S-D & Huang 2008). Furthermore, due to the size limitation of healthy

vasculature endothelium, the drug distribution in healthy tissues can be reduced, thus

drug accumulation in tumours can be increased. Investigations have demonstrated

that the accumulation of conventional liposome encapsulated DOX was higher in

tumours than that of free DOX in a mouse model (Drummond, D. C. et al. 1999b;

Ogawara, K-i et al. 2009). Moreover, drugs encapsulated in liposomes are not

bioavailable until they are released from the carriers to become free drugs (Allen,

Theresa M. et al. 2006). As long as they are released from the liposomes, the released

drugs function as free drugs. In turn, as the drugs carried by nanoparticles are located

within the particles, the amounts and types of the payload will not affect the PK and

BD of nanocarriers (Davis, Chen & Shin 2008). In addition, liposomes are high

molecular water-soluble nanoparticles. Drugs with low molecular weight

encapsulated by high molecular weight liposomes are inefficiently removed by

lymphatic drainage and therefore have more chance to accumulate in tumours

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(Minko et al. 2006). Taken together, the liposome encapsulation approach has the

potential to improve treatment efficacy of various traditional anticancer agents.

One barrier for the early liposomal formulations is the rapid clearance in the

bloodstream. To avoid the trapping of liposomes by the RES, approaches to limiting

the size, or coating liposomes with a hydrophilic barrier to protect them from

recognition by the RES, have been considered. Sterically stabilised liposomes,

liposomes coated with PEG, have been shown to display an enhanced stability in the

circulation, a prolonged half-life and an improved pharmacokinetic profile over both

free drugs and conventional liposomes (Minko et al. 2006; Moreira et al. 2002). For

example, studies comparing different formulations of DOX illustrated that Doxil®

has an 87-fold higher area under time versus concentration, one important

pharmacokinetic parameter related to the efficacy of drugs, than free DOX seven

days post-injection. On the contrary, area under time versus concentration of

conventional liposomes with a more rapid DOX release rate was only 14-fold higher

than that of free DOX (Lasic, Danilo D. & Needham 1995; Minko et al. 2006).

PEGylated liposomal formulations of paclitaxel have also been reported to increase

the biological half-life of paclitaxel from 5.05±1.52 hours to 17.8±2.35 hours

compared to conventional liposomes in rats (Yang, T, Cui, Choi, Cho, et al. 2007).

Sterically stabilised liposomal formulation of CKD-602, a camptothecin analogue,

was shown to have more favourable pharmacokinetic parameters, such as a lower

clearance rate, both in plasma and tumour when compared with non-liposomal CKD-

602 (Zamboni et al. 2007).

The BD of anticancer agents can be improved by liposomal encapsulation. The

EPR effect is an important factor in the improvement of the BD of liposomal drug

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formulations (Allen, Theresa M. et al. 2006). Due to their size, liposomes are thought

to extravasate more easily into the tumour vasculature due to increased gaps between

tumour endothelial cells. For example, free DOX has a wide distribution in vivo,

accumulating in most tissues to a significant extent, while studies regarding DOX-

loaded liposomes in vivo indicated a decreased drug concentration in the heart and

kidneys, but an increased concentration in tumours when compared with that of the

free DOX (Song, CK et al. 2009). This altered distribution reduced the concentration

of DOX at potential sites of toxicity, such as the heart.

1.3.3.5 Aptamer and CSCs targeting

Previous studies have conjugated aptamers with liposomes to achieve better

tumour targeting. For example, Mann et al. conjugated amino-PEG liposomes with a

thioated oligonucleotide aptamer (thioaptamer) against E-selectin (ESTA) (Mann,

Bhavane, Somasunderam, Liz Montalvo-Ortiz, et al. 2011; Mann et al. 2010). The

ESTA-liposomes showed an elevated tumour vasculature accumulation in nude mice

bearing MDA-MB-231 breast xenograft tumours. In the study using TMR-sgc8

aptamer-modified liposomes (Kang et al. 2010a), liposomes could bind specifically

to the target tumour cells in 30 min. Moreover, an RNA aptamer binding to the

prostate-specific membrane antigen (PSMA) using PLA-PEG-COOH nanoparticle

bioconjugates could target cell lines expressing PSMA protein with a 77-fold higher

cellular uptake than the control (Farokhzad et al. 2004b).

New aptamers can be developed that specifically targeting the CSCs. For example,

Shigdar et al. developed an RNA aptamer against the cancer stem cell marker

EpCAM (Shigdar et al. 2011). As the CSCs are responsible for chemoresistance and

recurrence after various treatments, the novel chemotherapeutic agents delivery

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systems designed to target CSCs could prevent recurrence of tumours (Ambasta,

Sharma & Kumar 2011). An approach to target CSC markers is to combine

liposomes with aptamers to develop liposomes which have the potential to provide

an enhanced targeting efficiency as a selective delivery system. Thus, the

conjugation of aptamers and liposomes has the potential to improve the

chemotherapeutics efficacy loaded by liposomes.

1.4. Project significance and aims

As a novel drug delivery system for anticancer chemotherapeutics, liposomes have

been extensively studied in recent years. The liposomal formulation of anticancer

agents affords enhanced stability, improved targeting to tumours, controllable release

rate and more favourite PK and BD. However, challenges for a better drug delivery

system remain, particularly regarding targeted therapy. This project focuses on the

development and characterisation of DOX encapsulated sulfatide-containing

liposomes (SCL) that possess enhanced tumour targeting properties.

DOX is an anthracycline antibiotic widely used in oncology clinics as an

anticancer chemotherapeutic agent. It was firstly introduced in the 1970s, and has

now become one of the most commonly used anticancer drugs in the treatment for

haematological malignancies and solid tumours (Arola et al. 2000). However, when a

cumulative dose reaches 450 to 500 mg/m2, it may lead to cardiomyopathy, resulting

in congestive heart failure (Imondi et al. 1996; Olson et al. 1988). Moreover, due to

the excretion of DOX occurring predominantly by the hepatobiliary route and

partially by the kidneys (Cosan et al. 2008), recent data indicates that DOX could

induce renal damage (Bárdi et al. 2007) and decreased hepatic activity (Yokogawa et

al. 2006). As a result of ongoing efforts to develop a nanoparticle drug delivery

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system, the liposomal formulations of DOX entering the clinic have improved

efficacy and reduced side effects (Elbayoumi, T. A. & Torchilin, V. P. 2008).

Nevertheless, the use of long-circulating formulations of liposomal DOX is limited

by its toxicity to the skin. Palmar-plantar erythrodysesthesia (PPE), also known as

hand-foot syndrome, is a relatively common dermatologic toxic reaction associated

with pegylated liposomal DOX (PLD), such as Doxil® (Farr, K. P. & Safwat, A.

2011).

The composition and structure of the extracellular matrix in tumours is different

from that in normal tissues (Liu, F et al. 2008). Certain extracellular matrix

glycoproteins are highly up-regulated in many different cancers, including breast

cancer, ovarian cancer, prostate cancer and gliomas (Fernando et al. 2008; Quemener

et al. 2007). Tenascin-C is a protein expressed at low levels in normal adult tissues

but high levels in many tumours (Mackie & Tucker 1999). The function of tenascin-

C is complex. It can influence the cell behaviour directly or indirectly. It has been

implicated in the regulation of cell migration, focal adhesion and cell proliferation

(Sage & Bornstein 1991; Trojanowska 2000). Moreover, expression of genes

modifying the extracellular matrix can be induced by tenascin-C. These genes have

the potential to promote tumour growth and invasion. Taken together, tenascin-C has

been implicated as an important target for the treatment of cancer (Adams, M et al.

2002).

A possible strategy to improve anticancer agent binding and penetration into

tumours is to modify the drug carriers with a composition that can bind to the tumour

cell surface or the extracellular matrix of tumours. Sulfatide, a lipid that is found in

humans, is involved in a variety of biological processes such as cell adhesion,

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platelet aggregation, cell growth, protein trafficking, signal transduction, neuronal

plasticity and cell morphogenesis. Sulfatide is known to bind several extracellular

matrix glycoproteins including tenascin-C (Townson et al. 2007). Therefore,

sulfatide was chosen to be one of the components of nanoliposomes to target tumours

expressing high levels of tenascin-C in this project.

DOPE, 1,2-dioleoyl-snglycero-3-phosphoethanolamine, is a neutral lipid that is

also found in humans. It is an attractive lipid component of liposomes for

intracellular delivery of anticancer drugs. This is because DOPE is thought to be the

most superior of all the fusogenic (ability to promote membrane fusion) lipids (Hafez

& Cullis 2001). When mixed with another ionisable anionic lipid, DOPE adopts a

bilayer organisation (forming liposomes) at physiological pH due to the stabilising

effect of the helper lipids. At a lowered pH (where the pH values drops below the pK

of the helper lipid), the helper lipid is unable to stabilise the bilayer. As a

consequence, DOPE adopts a non-bilayer inverted hexagonal (HII) phase, leading to

membrane inversion, membrane fusion and the release of entrapped chemotherapy

drugs to the cytoplasm. Thus, under physiological pH, DOPE confers stability to

SCL via its inhibitory effects on liposome fusion, as the incorporation of sulfatide

into DOPE vesicles greatly enhances the stability of the liposomes formed, even in

the presence of plasma, presumably due to the hydration of the negatively charged

sulfate head-group of the glycosphingolipid (Shao, Ke et al. 2006). One of the key

aspirations in liposome research is to develop a liposome that is very stable in

physiological pH to confer a long half-life in the blood stream but quickly releases its

payload at lowered pH in the endosome once internalised. Previous research has

demonstrated that DOPE-sulfatide liposomes do enter the cells and release the

payload inside the tumour cells in vitro (Shao, Ke et al. 2006). It has been shown that

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sulfatide was specifically required for robust uptake of liposomes by human

glioblastoma cells U-87MG. The SCL has been found to remain intact for hours after

uptake by the glioblastoma cells. As well, intracellular distribution studies have

indicated a high accumulation of DOX in the nuclei where it exerts its cytotoxic

effect after 12 h incubation with SCL at 37 °C. Meanwhile, therapeutic efficacy

studies of SCL in immunocompromised mice bearing human glioblastoma cell line

U-87MG displayed much improved therapeutic effects over the free drug (Shao, Ke

et al. 2006; Wu, X & Li 1999).

However, the in vitro and in vivo stability of the liposomes, the pharmacokinetic

behaviour and the BD pattern are yet to be established. The critical parameters of

tumour uptake, pharmacodynamic data of the sulfatide-containing liposomal DOX

(SCL-DOX) in tumour xenograft models and the safety profile remain to be

established. Moreover, due to various barriers that impede the efficient delivery of

drugs to the brain interstitium, the potential of SCL-DOX for circumventing the

blood-brain barrier (BBB) remains to be explored. Therefore, this project aims to

address these important outstanding issues in preclinical settings, especially in

human glioma and colorectal cancer models. The study also explores the active

targeting property of SCL surface functionalised by CSC targeting aptamers.

Therefore, the long term goal of this project is to develop a better drug delivery

system, and in particular, a targeted therapeutic. To achieve this goal, the current

project focused on the development and characterisation of DOX encapsulated SCL

that possesses enhanced tumour targeting properties. The specific aims of this project

are:

1) To further characterise SCL-DOX and to develop PEG-SCL-DOX.

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2) To analyse cellular uptake and cytotoxicity of SCL-DOX in vitro.

3) To study the PK and BD of SCL-DOX in healthy Sprague Dawley (SD) rats.

4) To study tumour uptake of SCL-DOX in tumour-bearing

immunocompromised mice.

5) To study therapeutic efficacy and safety of SCL-DOX in xenograft tumour

models.

6) To study the potential of SCL-DOX in penetrating the BBB in healthy SD

rats.

7) To study tumour uptake of SCL-DOX in glioma-bearing Wistar rats.

8) To study cellular uptake and retention properties of CSCs targeting aptamer

functionalised PEG-SCL-DOX.

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Chapter 2 - Methodology

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2.1 Ethics Statement

The Deakin University Animal Welfare Committee has approved all animal

protocols used in this research.

2.2 Materials

2.2.1 Chemicals, reagents and equipment

The following companies supplied reagents and equipment used in this work:

Avanti Polar Lipids, In, Alabaster, Alabama

Abacus ALS, Brisbane, Australia

Auspep Pty Ltd, Tullamarine, Australia

Barwon Health Pharmacy, Geelong, Australia

BD, New Jersey, USA,

BD Medical, Scoresby, Australia

Bovogen Biologicals Pty Ltd, East Keilor, Australia

David Kopf Instruments, KOPF®, California, America

Grale Scientific Pty Ltd, Ringwood, Australia

Hitachi, Japan

HyClone, South Logan, Canada

IBA GmbH, Goettingen, Germany

Interpath Services, Melbourne, Australia

Instech Laboratories, Inc., America

Invitrogen Australia Pty Ltd, Mulgrave, Australia

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Malvern Instruments Ltd, Worcestershire, UK

MatTek Corporation, Ashland, America

Medicago, Uppsala, Sweden

Merck, Kilsyth, Australia

Millipore, Billerica, MA, USA

NANOCS, Melbourne, Australia

Olympus, Tokyo, Japan

Pall Australia, Cheltenham, Australia

PerkinElmer, Melbourne, Australia

Promega Corporation, Madison,USA

Sigma-Aldrich Pty. Ltd, Sydney, Australia

Tecniplast S.p.A, Buguggiate, Italy

Thermo Fisher Scientific, Scoresby, Australia

ATA Scientific Pty Ltd, Taren Point, Australia

Waters, Milford Massachusetts, USA

Westlab, Madison , USA

All the organic reagents, including methanol and chloroform, used in this study

were analytical or high-performance liquid chromatography (HPLC) grade. All other

chemicals were of the highest grade available.

2.2.2 Cells used in this study

The U-118MG (human glioblastoma) cell line, HT-29 (human colorectal

adenocarcinoma) cell line, MCF-7 (human breast adenocarcinoma) cell line and C6

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(rat glioma) cell line were purchased from American Type Culture Collection

(ATCC, Manassas, VA). HEK-293T (the human embryonic kidney 293) cell line

was a generous gift from Dr Hongjian Zhu (Melbourne University, Australia). U-

118MG, HEK-293T and C6 cells were cultured in DMEM medium (InvitrogenTM,

Australia) supplemented with 10% foetal bovine serum (FBS, Hyclone, Canada),

penicillin (50 U/mL, InvitrogenTM, Australia), and streptomycin (50 μg/mL,

InvitrogenTM, Australia) in a humidified atmosphere containing 5% CO2 at 37 °C.

HT-29 cells were cultured in McCoy's 5A medium (InvitrogenTM, Australia)

supplemented with 10% FBS, penicillin (50 U/mL), and streptomycin (50 μg/mL) in

a humidified atmosphere containing 5% CO2 at 37 °C.

For subculturing cells from monolayer, cell culture medium was removed and

cells were rinsed gently with sterilised phosphate saline buffer (PBS) twice, followed

by detachment with 0.05% trypsin-EDTA (InvitrogenTM, Australia) at 37 °C until

cells were rounded up and detached from the surface of flasks. Then, complete

medium was used to inactivate the trypsin. Cells were collected and centrifuged at

room temperature (RT), followed by resuspension with appropriate buffer or medium.

2.2.3 Animals used in this study

Animals were purchased from Deakin Upper Animal House, Monash University

and The Animal Resources Centre (Perth, Australia).

Male Sprague-Dawley (SD) rats (200 to 250 g) were housed in a temperature

controlled room (25 ± 1°C) with a 12-h light-dark cycle. Rats were fed ad libitum

with a standard diet and were fasted overnight before treatments administration.

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Male Wistar rats (200 to 250 g) were housed in a temperature controlled room (25

± 1 °C) with a 12-h light-dark cycle. Rats were fed ad libitum with a standard diet

and were fasted overnight before treatment administration.

Six-week-old female BALB/c-Foxn1nu mice were used for U-118MG and HT-29

xenografts established. The mice were housed in the TECNIPLAST SealsafeTM

Individually Ventilated Cages which were placed in a temperature controlled room

(25 ± 1 °C) with a 12-h light-dark cycle. Mice were fed ad libitum with a standard

diet. Beddings, cages and water were autoclaved at 121 °C for 30 min while the

fodder was sterilised by ultraviolet irradiation before use.

2.2.4 Aptamers used in this study

Aptamers were synthesised by IBA GmbH.

EpCAM targeting aptamer: 5’-Amino-12 Carbon linker-G (2’-F-C) G A (2’-F-C)

(2’-F-U) G G (2’-F-U) (2’-F-U) A (2’-F-C) (2’-F-C) (2’-F-C) G G (2’-F-U) (2’-F-

C)-G-9-atom spacer- fluorescence-3’ (F: 2’-fluoro, fluorescence: FITC).

Negative control aptamer: 5’-Amino-12 Carbon linker--mG C mG A C U mG mG

U U mA C C C mG mG U C mG-9-atom spacer-fluorescence-3’ (m: 2’-O-methyl,

fluorescence: FITC).

Due to their susceptibility to degradation by serum nucleases, aptamers are

unsuitable for most therapeutic applications (Burmeister et al. 2006). Resistance to

nuclease-mediated degradation can be greatly improved by incorporating modifying

groups at the nucleotide 2’-position, and both 2’-fluoro and 2’-O-methyl

modifications have been shown to significantly increase resistance to serum

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nucleases (Burmeister et al. 2005; Ruckman et al. 1998). Thus, the 2’-fluoro and 2’-

O-methyl modifications have been utilised for our aptamers to increase aptamer

stability both in vitro and in vivo.

However, the aptamer modified with 2’-O-methyl is an aptamer of the same

sequence as EpCAM targeting aptamer but with a different side-chain modification

which could affect the 3-dimensional structure of aptamer (Chushak & Stone 2009).

As a result, it is used as a negative control aptamer which is not able to bind to

EpCAM and does not specifically target the cancer cells with high expression of

EpCAM.

2.3 Methods

2.3.1 Development of sulfatide-containing nanoliposomal doxorubicin (SCL-

DOX) and PEG-sulfatide-containing nanoliposomal doxorubicin (PEG-SCL-

DOX)

2.3.1.1 Development of SCL-DOX.

Liposomes were prepared according to a previously published method with some

modifications (Shao, Ke et al. 2006). Briefly, DOPE unilamellar vesicles containing

30% (molar ratio) sulfatide were prepared by a hydration method followed by

polycarbonate membrane extrusion. DOPE (13.35 mM, Avanti Polar Lipids, Inc.,

Cat No: 850725P-500mg) and sulfatide (6 mM, Avanti Polar Lipids, Inc., Cat No:

131305P-100mg) were dissolved in a mixture of chloroform (Deakin University,

LES store, CH1751) and methanol (Sigma, Cat No: 366927) (2:1, v/v,), and the lipid

mixture, composed of DOPE/sulfatide (3:7, mol/mol), was transferred to glass tubes.

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Samples were then reduced to a minimum volume under a nitrogen stream, and

stored under vacuum for 24 h at 4 °C to completely evaporate the organic solvent.

The thin lipid films were hydrated by the addition of 1 mL of 250 mM ammonium

sulfate (pH 8.5, Sigma, Cat No: A4418-500g). The samples were then placed in an

ice-water bath and sonicated under nitrogen for 2.5 min with 50% amplitude using a

sonicator (Sonics & Materials, Inc). Following sonication, the liposomes were

formed via extrusion through polycarbonate membranes (Avanti Polar Lipids, Inc.)

with consecutive pore sizes of 400 nm for 14 times, 200 nm for 14 times and 100 nm

for 19 times at room temperature. To establish a trans-bilayer ammonium sulfate

gradient, the extruded liposomes were dialyzed against a 250-fold volume of 10%

sucrose in 25 mM Trizma (Sigma, Cat No: T6066) at pH 8.5 at 4 °C for 24 h. The

external buffer was changed three times during dialysis. After dialysis of the

liposomes, DOX (Sigma, Cat No: 44583-1 mg), in 10% sucrose at a final

concentration of 5 mg/mL, was added to the liposomes at a drug-to-lipid ratio of

0.3:1 (w/w), followed by incubation in a water bath at 60 °C for 1 h. Non-

encapsulated DOX was removed by size exclusion chromatography using a

Sephadex G-50 (Sigma, Cat No: G5080-10g) column.

2.3.1.2 Development of PEG-SCL-DOX.

For development of PEG-SCL-DOX, 1,2-distearoyl-sn-glycero-3-

phosphoethanolamine-N-[maleimide(polyethylene glycol)-2000] (PEG2000-DSPE,

NANOCS, Cat No: PG2-LPCA-2K) was dissolved in chloroform (Deakin University,

LES store, CH1751) and methanol (Sigma, Cat No: 366927) (2:1, v/v). Then,

PEG2000-DSPE was added to DOPE/sulfatide (3:7, mol/mol) as a molar ratio at 3% or

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5% of the whole lipids amount. All the following procedures were the same as those

in the Section 2.3.1.1.

2.3.1.3 Development of DOX-encapsulated, aptamer functionalised PEG-SCL

DOX-encapsulated nanoliposome (with 5% DSPE-PEG-COOH) was prepared as

previously described (Section 2.3.1.1). The coupling of aptamer to liposomes was

performed through an amide bond between the carboxylic groups of the linker lipid,

DSPE-PEG-COOH, and amino groups of the aptamer in the presence of a water-

soluble carbodiimide, 1- [3-dimethylaminopropyl]-3-ethylcarbodiimide

hydrochloride (EDC) (Otsubo et al. 1998). The reaction of carboxyl group in the

presence of EDC forms an amine-intermediate, which after reacting with sulfo-N-

hydroxysuccinimide (Sulfo-NHS) will form a semi-stable amine reactive NHS ester

that afterwards will react with amino groups of aptamer leading to a stable amide

bond. For conjugation, EDC (Thermo, Cat No: 22980) and NHS (Thermo, Cat No:

24520) were added into the DOX-encapsulated nanoliposome in PBS (pH= 6.0,

Medicago, Cat No: 09-9400-100) to a final concentration of 2 mM and 5 mM,

respectively. The mixture was then incubated for 0.5 h at room temperature with

gentle stirring (Dhar et al. 2008). The pH value of the mixture was raised to 7.2-7.5

with phosphate buffer (Medicago, Cat No: 09-9400-100) (or other non-amine buffer)

immediately before the reaction to the amine-containing molecule. When conjugated

with PEG-SCL, aptamer from a stock solution in RNA-free H2O was added into the

NHS-activated nanoliposomes at 1:10 molar ratio (aptamer-to-DSPE-PEG-COOH in

nanoliposome ratio) and gently stirred for 2 h at room temperature. Unreacted EDC,

Sulfo-NHS and free aptamer were removed by gel filtration using a Sephdex-G50

column (Estevez et al. 2010b; Karathanasis, Bhavane & Annapragada 2007). After

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purification, samples were collected for spectrophotometry, fluorescence and particle

size analysis. All the analytical procedures were the same as described in Section

2.3.1.

2.3.1.4 Chromatographic instrumentation and system

Chromatographic instrumentation was used based on a previously published

method with some modifications (Alvarez-Cedron, Sayalero & Lanao 1999). Briefly,

the High Performance Liquid Chromatography (HPLC) system (Milford, MA, USA)

used in this study consists of a Waters e2695 Separation Module and a Waters 2475

Multi Fluorescence Detector. The excitation and emission wavelengths were set at

the 470 nm and 585 nm, respectively. Chromatographic separation was performed

using a Nova-Pak® C18 column (3.9 × 150 mm i.d., 4 m, Waters, USA) with a

Nova-Pak® C18 guard column (3.9 × 20 mm i.d., 4 m, Waters, USA). A mixture

(55:45, v/v) of methanol and 10 mM phosphate buffer (pH = 3.0, Fluka, Cat No:

71500) was used as the mobile phase. The flow-rate used in the assay was 1 mL/min

and the column was maintained at 40 ± 5 °C throughout the chromatographic process.

All solvents for HPLC procedures were prepared freshly and filtered with 0.22 m

membrane before using.

2.3.1.5 Establishing standard curves for determination of DOX loading

efficiency

DOX in 10% sucrose was loaded into the liposomes as described above without

passing through the Sephadex G-50 (Sigma, Cat No: G5080-10g) column. The

solution was then diluted with a methanol and phosphate buffer mixture (55:45, v/v)

to a final DOX concentration of 20 g/mL. The mixture was diluted with the same

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solution (methanol and phosphate buffer, 55:45, v/v) to different concentrations,

including 50 ng/mL, 200 ng/mL, 400 ng/mL, 800 ng/mL, 1,000 ng/mL, 4,000 ng/mL,

8,000 ng/mL, 10,000 ng/mL and 20,000 ng/mL. The samples were centrifuged at

21,000 × g for 5 min. The supernatant layers were collected into HPLC vials, which

were measured via HPLC as described in the Section 2.3.1.4. Calibration curves

were constructed by plotting peak area of fluorescence derived from DOX vs. DOX

concentrations. A linear regression was used for quantitation. The standard formulas

were determined by linear regression as y = mx + b, where y is the peak area of DOX

and x is the DOX concentration.

2.3.1.6 Determination of drug loading efficiency of SCL-DOX or PEG-SCL-

DOX

The amount of DOX encapsulated in SCL-DOX or PEG-SCL-DOX was

determined by disrupting the liposomes with methanol, followed by quantification of

DOX using a fluorescence detector in the HPLC system. Sample concentrations were

determined by linear regression using the standard formula y = mx + b obtained from

Section 2.3.1.5, where y is the peak area and x is the concentration of the standard in

ng/mL. Briefly, 10 L aliquot of the SCL-DOX eluted from a Sephadex G-50 column

was diluted in 100-fold phosphate buffer/methanol (45:55, v/v), and the mixture was

centrifuged at 21,000 × g for 5 min. Then, the supernatant was measured via using

HPLC. Encapsulation efficiency was calculated by the following equation:

Encapsulation efficiency (%) = DOX encapsulated in liposomes ×100% DOX added to liposomes

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2.3.1.7 Establishing standard curves for phospholipids assay

The concentration of phospholipids (DOPE, Avanti Polar Lipids, Inc., Cat No:

850725P-500mg) in the liposomes was determined as previously described (Stewart

1980). For the standard curve of phospholipids assay, 10 mg DOPE was dissolved in

10 mL of chloroform as a stock. Then, different concentrations (0, 100, 300, 500, 700,

900 and 1,000 g/mL) of DOPE were prepared with dilution in chloroform.

Following this, 1 mL chloroform (Deakin University, LES store, CH1751) and 0.5

mL ferri-thiocyanate reagent (containing 1M ferric chloride hexahydrate, MPBio,

Cat No:153500-100g, and 0.4 M ammonium thiocyanate, Westlab, Cat No: AA010-

500G) were added to the sample, followed by vortexing for 1 min, and centrifugation

at 12,000 × g for 5 min. Following the removal of supernatant, the absorbance of

samples was measured at 488 nm against the chloroform blank using

spectrophotometer (U-1800, HITACHI, Japan). Absorbance were plotted against the

concentration to obtain the analytical curve followed by linear regression analysis.

The method was considered linear when R2>0.99. The calibration curve was obtained

by plotting the absorbance (y) vs. the concentrations (x).

2.3.1.8 Determination of phospholipids in SCL-DOX or PEG-SCL-DOX

The concentration of phospholipids (DOPE) in liposomes was determined as

previously described (Stewart 1980). Briefly, 1 mL chloroform and 0.5 mL ferri-

thiocyanate reagent (containing 1M ferric chloride hexahydrate and 0.4 M

ammonium thiocyanate) were added to a 100 L aliquot of SCL-DOX. The

following steps were the same as described in Section 2.3.1.6. The DOPE

concentration in the samples was calculated according to a standard curve of its

absorbance intensity vs. DOPE concentration.

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2.3.1.9 Determination of particle size and zeta potential of SCL-DOX or PEG-

SCL-DOX

Following the size exclusion chromatography assay, a 10 L aliquot of SCL-DOX

was diluted in 990 L PBS and mixed gently. The vesicle size and zeta potential of

SCL were measured using Zetasizer Nano ZS Particle Characterisation System from

Malvern Instruments (Malvern, UK).

2.3.1.10 In vitro release kinetics of SCL-DOX/PEG-SCL-DOX in PBS

The in vitro leakage of DOX from SCL-DOX/PEG-SCL-DOX was measured by a

dialysis method (Rai et al. 2008; Song, H et al. 2006a). Briefly, 2.5 mL SCL-

DOX/PEG-SCL-DOX was added into a Slide-A-Lyzer Dialysis Cassette (Pierce,

molecular weight cut-off of 2 kDa). The dialysis cassette was placed into a beaker

containing a 250-fold excess of PBS. The SCL-DOX/PEG-SCL-DOX was dialysed

with stirring for 72 h at 37°C. At various time points (0 h, 0.5 h, 1 h, 4 h, 8 h, 24 h,

48 h and 72 h), a 500 L aliquot was withdrawn from the external buffer for release

kinetics analysis, and replaced with the same volume of fresh external buffer. For

HPLC measurement, the aliquots were mixed with 500 L methanol, followed by

centrifuged at 21,000 × g for 5 min. Supernatants were then collected for

measurement by HPLC. The drug concentration in the external buffer was calculated

according to a standard curve of DOX concentration vs. its fluorescence intensity.

2.3.1.11 In vitro release kinetics of SCL-DOX/PEG-SCL-DOX in PBS/10% FBS

The dialysis procedure was the same as that in the Section 2.3.1.9 except the

dialysis buffer consisted of PBS containing 10% FBS, penicillin (50 U/mL), and

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streptomycin (50 μg/mL). In addition, 1 mL methanol was added to a 500 L aliquot

of external buffer for protein precipitation. After centrifuged at 21,000 × g for 5 min,

supernatants were collected for measurement of the DOX concentration by HPLC.

The drug concentration in the external buffer was calculated according to a standard

curve of DOX concentration vs. its fluorescence intensity as described in Section

2.3.1.11.

2.3.1.12 Establishing standard curves for in vitro release kinetics in PBS

DOX stock was dissolved in methanol and diluted with PBS/methanol (1:1, v/v) at

the final concentration of 20 g/mL. The stock was then diluted by PBS and

methanol mixture (1:1, v/v) to cover three concentration ranges (0.1-100 ng/mL, 50-

1000 ng/mL and 800-20000 ng/mL), each of which contained five or eight standard

solution (0.1-100 ng/mL: 0.1, 0.5, 1, 5, 10, 25, 50 and 100 ng/mL; 50-1,000 ng/mL:

50, 200, 400, 800 and 1,000 ng/mL; 800-20000 ng/mL: 800, 4,000, 8,000, 10,000,

20,000 ng/mL). The samples were centrifuged at 21,000 × g for 5 min. The

supernatant layers were collected into the vials, followed by measurement under the

conditions as described in Section 2.3.1.4. Calibration curves were constructed as

described in Section 2.3.1.5.

2.3.1.13 Establishing standard curves for in vitro release kinetics in PBS/10%

FBS

DOX stock was dissolved in methanol and diluted by methanol/PBS (2:1, v/v) at a

final concentration of 20 g/mL. The stock was then diluted with PBS and methanol

mixture (2:1, v/v) to the three concentration ranges (0.1-100 ng/mL, 50-1,000 ng/mL

and 800-20000 ng/mL), each of which contained five or eight standard solution (0.1-

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100 ng/mL: 0.1, 0.5, 1, 5, 10, 25, 50 and 100 ng/mL; 50-1000ng/mL: 50, 200, 400,

800 and 1,000 ng/mL; 800-20,000 ng/mL: 800, 4,000, 8,000, 10,000, 20,000 ng/mL).

The samples were centrifuged at 21,000 × g for 5 min. The supernatant layers were

collected into the vials, followed by measuring under the conditions as described in

Section 2.3.1.4. Calibration curves were constructed as described in Section 2.3.1.5.

2.3.2 In vitro uptake, retention and cytotoxicity assay

2.3.2.1 MTT assay

The viabilities of treated and untreated cells was determined by the (3-(4,5-

dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide) MTT assay which

measures the mitochondrial conversion of MTT to formazan as detected by the

change of optical density at 570 nm (Jung et al. 2009b; Zhang, FY et al. 2009).

Briefly, the MTT (Sigma, Cat No: M5655) stock was dissolved with Milli Q water to

a final concentration of 5 mg/mL. This solution was filtered through a 0.22 m filter

and stored at -20°C in the dark before use. One T-75 flask of U-118MG cells or HT-

29 cells was trypsinised and 5 mL of complete media was added to the trypsinised

cells. The cell suspension was centrifuged in a sterile 15 mL Falcon tube at 500 × g

in the swinging bucket rotor for 5 min. Then, U-118MG cells were plated at a density

of 4.0 × 103 cells per well in 100 l DMEM medium and HT-29 were plated at a

density of 3.0 × 103 cells per well in 100 L McCoy's 5A medium in 96-well plates

and allowed to grow for 24 h. The cells were then exposed to a series of

concentrations (0.1 g/mL, 0.5 g/mL, 1 g/mL, 5 g/mL, 10 g/mL, 50 g/mL and

100 g/mL) of free DOX, SCL-DOX or blank SCL for 48 h at 37° C under 5% CO2.

Ten microlitres of MTT reagent was added into each well and incubated for 4 h. The

reaction was terminated by removing MTT prior to the addition of 150 L/well

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solubilisation reagent (Dimethyl Sulfoxide, DMSO, Merck, Cat No: 1.02952.1000).

The absorbance of the wells, including the blanks, was measured at 570 nm using a

VICTOR TM X5 Multilabel HTS Reader (PerkinElmer Life and Analytical

Sciences). DOX concentration leading to 50% cell-killing (IC50) was calculated using

the statistical software package SPSS 13.0 (Cheng et al. 2009). All experiments were

performed in triplicate and repeated thrice.

2.3.2.2 Confocal microscopy analysis for cellular uptake and retention of SCL-

DOX

U118MG cells (1.5 × 105 cells/well) or HT-29 cells (1 × 105 cells/well) were

seeded in 35-mm glass bottom dishes and incubated at 37°C in 5% CO2 for 24 h. The

medium was then replaced with full culture medium containing 2 g/mL free DOX

or SCL-DOX. Twenty-four hours later, cells were washed twice with phosphate

buffered saline (PBS) and imaged for cellular uptake studies. For retentions studies,

cells were first exposed to 2 g/mL free DOX or SCL-DOX in full cell culture

medium for 24 h and then washed twice with PBS. Cells were then incubated with

fresh cell culture medium and serially imaged at 1 h, 2 h, 4 h, and 24 h using a

Fluoview FV10i fluorescence laser scanning confocal microscopy (Olympus, Japan).

2.3.2.3 Cellular uptake and retention of aptamer-functionalised DOX-

encapsulated PEG-SCL

HEK-293T cells (1.0 × 105 cells/well) or HT-29 cells (1.0 × 105 cells/well) were

seeded in 35-mm glass bottom dishes and incubated at 37°C in 5% CO2 for 24 h. The

medium was then replaced with full culture medium containing 2 g/mL free DOX,

SCL-DOX, aptamer-functionalised DOX-encapsulated SCL (ap-PEG-SCL-DOX)

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and SCL-DOX conjugated with negative control aptamer (negative ap-PEG-SCL-

DOX). Cellular uptake and retention was evaluated as described in Section 2.3.2.2.

2.3.2.4 Flow cytometry analysis for intracellular uptake of SCL-DOX

To measure the intracellular uptake of free DOX and SCL-DOX, U-118MG

glioblastoma cells or MFC-7 breast cancer cells were cultured in a 12-well plate to

achieve approximately 80% confluence. DOX was dissolved in PBS at a

concentration of 1 mg/mL, and diluted in DMEM to a final concentration of 4 g/mL.

SCL-DOX was prepared fresh before each experiment. One millilitre of 4 g/mL

DOX or SCL-DOX in full culture medium was added into each well. Following

incubation at 37 °C for different periods (0 h, 1 h, 2 h, 4 h, 6 h and 24 h), the culture

medium was discarded. Cells were then washed three times with ice-cold PBS,

detached by trypsinisation, centrifuged at 500 × g for 5 min, resuspended in 0.1 mL

ice-cold PBS, and then analysed using a BD FACSCantoTM II flow cytometer

(Becton-Dickinson) using excitation wavelength of 488 nm and emission between

543 and 627 nm. Fluorescent histograms were recorded by BD FACSCantoTM II flow

cytometer and analysed using BD FACSDiva software (v6.0). A minimum of 10,000

events were analysed for each sample from three independent experiments (Gariboldi

et al. 2007; Meschini et al. 2002; Tang et al. 2007; Zheng, C et al. 2009). 2.3.3 In

vivo methods

2.3.3.1 Development of [3H]-tracking of liposome.

[3H] Cholesteryl hexadecyl ether (CHE, Perkin Elmer, Cat No: NET859001MC)

was added at a molar ratio of 1:24000 (CHE/DOPE) as a nonmetabolised,

nonexchangeable lipid tracer into the lipid mixture (Hussain et al. 2007). The

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preparation of SCL-DOX or PEG-SCL-DOX was carried out as described above

(Section 2.3.1.1 and 2.3.1.2).

2.3.3.2 Pharmacokinetics (PK) study in SD rats

To investigate the PK properties of SCL-DOX and PEG-SCL-DOX in vivo,

healthy male SD rats were randomly divided into 3 experimental groups (five to six

rats per group) and were injected i.v. with free DOX, SCL-DOX or PEG-SCL-DOX

via the tail vein with a single dose of 5 mg DOX/kg (administration rate 0.4 mL/min).

After injection, blood was serially sampled from the tail of the same animal at 2 min,

30 min, 2 h, 6 h, 24 h and 48 h. Blood samples (500 L) were collected in

heparinised tubes, and then centrifuged at 3,000 × g at 4 °C for 10 min to separate

the plasma and stored at -20 °C until assayed for DOX and [3H] (Ahmed et al. 2009;

Rahman et al. 1986b).

2.3.3.3 Biodistribution (BD) study in rats

For BD study, healthy male SD rats were randomly divided into 3 experimental

groups (five to six rats per group). Free DOX (5 mg/kg) or SCL-DOX (5 mg/kg in

DOX) was administrated via the tail vein. Rats were then sacrificed by Lethabarb R

(100 mg/kg) at 0.5 h, 2 h, 4 h and 24 h after the injection and tissues (heart, liver,

spleen, lung, kidney and brain) were collected. Tissues were then lightly washed in

cold physiological saline to remove any excess blood, blot-dried using filter paper

and weighed (Xiong, Huang, Lu, Zhang, Zhang, Nagai, et al. 2005). Tissues were

then stored at -20 °C until assayed for DOX and [3H].

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2.3.3.4 Establishing standard curves of DOX in plasma

Free DOX was dissolved in methanol to a stock concentration of 1 mg/mL. For

each concentration (2, 5, 10, 50, 100, 200, 500, 1000, 2000, 5000 and 10000 ng/mL),

stock was then diluted with 100 L blank plasma and methanol/phosphate buffer

mixture (55:45, v/v) to the final volume of 1 mL. Samples were vortexed for 1 min,

and centrifuged at 21,000 × g for 10 min at 4 C. The supernatant was transferred to

another tube followed by the addition of 2 L of freshly prepared perchloric acid

(35%, v/v,). Then, samples were vortexed for another 1 min and centrifuged at

21,000 ×g for 10 min at 4 °C. The supernatant was collected into vials, followed by

measuring of DOX via HPLC under the conditions as described in Section 2.3.1.4.

Calibration curves were constructed as described in Section 2.3.1.5.

2.3.3.5 Determination of the stability of SCL-DOX in plasma

To determine DOX levels in plasma, 495 L of methanol and 405 L of phosphate

buffer was added to 100 μL plasma. Then, samples were vortexed and treated as the

procedure above (Section 2.3.3.4). The supernatant (100 L) was injected into the

HPLC system (Alvarez-Cedrón, Sayalero & Lanao 1999). The chromatographic

instrumentation and system were used as described in Section 2.3.1.4. The drug

concentration was calculated according to a standard curve of DOX concentration vs.

its fluorescence intensity.

2.3.3.6 Establishing standard curves of DOX in tissues

To establish a standard curve of DOX in tissues, 100 g of tissue was placed in a

tightly sealed 2-mL screw-capped tube. Then, 1 mL methanol/phosphate buffer

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mixture (55:45, v/v) with different free DOX concentrations (50, 100, 500, 1000 and

5000 ng/mL) was added into the tubes. Samples were homogenised via the

FastPrep®-24 tissue and cell homogeniser (MP Biomedicals, US). The tissue

homogenate was centrifuged at 21,000 × g for 10 min at 4 °C. The supernatant was

transferred to another tube and extracted with the addition of 2 L freshly prepared

perchloric acid (35%, v/v), vortexed for 1 min, and centrifuged at 21,000 × g for 10

min at 4 °C. The supernatant was collected into vials, followed by measurement

under the conditions as described in Section 2.3.1.4. Calibration curves were

constructed as described in Section 2.3.1.5.

2.3.3.7 Determination of the release of DOX from SCL-DOX in tissues

To determine DOX levels in tissues, 100 g of tissue was added to 495 L of

methanol and 405 L of phosphate buffer in a tightly sealed 2-mL screw-capped tube

followed by homogenisation using the FastPrep®-24 tissue and cell homogeniser

(MP Biomedicals, US). The preparation procedure was the same as that in Section

2.3.3.6. The chromatographic instrumentation and system were used as described in

Section 2.3.1.3. The drug concentrations in the tissues were calculated according to a

standard curve of DOX prepared in the respective tissue homogenate.

2.3.3.8 Liquid scintillation counting assay for [3H] in plasma

To determine lipid levels in plasma, 1 mL of Solvable (PerkinElmer, Cat No:

6NE9100) was added to 100 μL plasma in a screw-cap air-tight glass tube and

digested for 1 h at 50 °C. After cooling to room temperature, 200 μL of 100 mmol/L

ethylenediamine tetraacetic acid (EDTA, Scharlau chemie SA, Cat No: AC0965) was

added, followed by the addition of 200 μL of 30% (v/v) H2O2. Samples were allowed

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to stand for 15 min at room temperature followed by incubation at 55 °C for 1 h and

cooling to room temperature. After the addition of 10 mL of scintillation cocktail

(ULTMA GOLDTM, PerkinElmer, Cat No: 6013329), the samples were analysed in

a Tri-Carb 2910TR liquid scintillation analyser (PerkinElmer, USA) after the

adaption for light and temperature for 1 h in the counter prior to counting.

2.3.3.9 Liquid scintillation counting assay for [3H] in tissues

For determination of [3H] in tissues, 2 mL of Solvable was added to 100 mg

tissues. Tissues were then digested for 3 h at 50 °C. The following steps and

analytical procedures were the same as described in Section 2.3.3.8.

2.3.3.10 Tumour xenograft model

Six-week-old female BALB/c-Foxn1nu mice were allowed a 7 day acclimatisation

period after arrival. The animal weight was recorded upon arrival. For uptake and

therapeutic studies, single cell suspensions were harvested by trypsinisation. The

cells were washed in PBS, and resuspended in PBS at a seeding concentration of

5×107 cells/mL for U-118MG or 3×107/mL for HT-29. Cell suspensions (5 × 106

cells in 0.1 mL PBS for U-118MG, 3 × 106 in 0.1 mL PBS for HT-29) were

inoculated subcutaneously (s. c.) into the right flank of the mice with a 1 mL syringe

and 26 gauge needle. Tumour size was assessed using a digital calliper every other

day after implantation and approximate tumour burden (mm3) was calculated as

length × width2/2 (V=lw2/2), where length and width are the longest and shortest axis

in millimetres (Elbayoumi, T. A. & Torchilin, V. P. 2008).

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2.3.3.11 Establishing standard curves of DOX in tissues and tumours in tumour-

bearing mice

The establishment of standard curves of DOX in tissues and tumours in tumour-

bearing mice were the same as described in Section 2.3.3.6.

2.3.3.12 Tumour uptake and tissue distribution of SCL-DOX in tumour-bearing

mice

Once the tumour reached a volume of 150 mm3, the nude mice were randomly

divided into 2 experimental groups (5 to 6 mice per group) for injection.

Formulations of either free or SCL-DOX at doses of 5 mg/kg DOX or equivalent

were administered via the tail vein at a rate of 0.4 mL/min. After injection, mice

were sacrificed by injection of Lethabarb R (100 mg/kg) at 24 h post-injection.

Tumours and tissues were collected and then processed as described in Section

2.3.3.7 (Cheng et al. 2009; ElBayoumi, aA & Torchilin, VP 2009; Li, X et al. 2009).

2.3.3.13 Treatment efficacy of SCL-DOX in tumour-bearing mice

For therapeutic experiments, the nude mice were randomly divided into 4

experimental groups (8 to 10 mice per group) for injection when the xenograft

tumours reached 150 mm3 (for U-118MG) or 35 mm3 (for HT-29). Mice received

injection of saline, free DOX (5 mg/kg), SCL-DOX (5 mg/kg in DOX) or blank SCL

via tail vein once a week for 6 weeks (for U-118MG) or twice a week for 3 weeks

(for HT-29). Tumour growth was monitored by measuring tumour diameter every

other day with a calliper and animal weights were monitored at the same time (Lopes

de Menezes et al. 2000; Tang et al. 2007).

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2.3.3.14 Analysis of systemic toxicity of SCL-DOX

To evaluate the general toxicity of free DOX, SCL-DOX and blank SCL, blood

was collected when the mice for therapeutic experiments were sacrificed. Plasma

biochemistry, blood cells counts and troponin were analysed by a veterinary

pathology laboratory (Gribbles Veterinary Pathology, Clayton, Victoria, Australia).

Blood smears were obtained for each animal to obtain a relative white cell count

adapted from the Fonio method for platelet counting (Adams, E 1948; Oliveira et al.

2003), with minor modifications. Slides were stained with Giesma and an area of the

blood smear was chosen where the red cells abutted each other but did not overlap,

with consecutive fields chosen to eliminate bias. The total number of white cells per

1500 red cells were counted (n=3 for each slide) and compared for each group.

2.3.3.15 Perfusion in healthy SD rats

The perfusion in healthy SD rats was performed based on a previously published

method (Balasubramanian et al. 2010). Briefly, the heavily anesthetised rat was

placed on its back in a dissection tray. A cut along the sternum (~8 cm long) was

made to expose the sternum's end. Sharp scissors were used to cut diaphragm

laterally on both sides and cut toward the head across ribs and parallel to lungs. The

heart was exposed and held steady with forceps, and then a large bore blunt needle

(18 gauge) was inserted into left ventricle to extend straight up about 5 mm. Rats

were perfused through the left cardiac ventricle with saline (>150 mL) until the

venous return was clear. The cortex was collected and then processed as described in

Section 2.3.3.7

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2.3.3.16 Establishment of a intracranial brain tumour xenograft model

The establishment of an intracranial brain tumour xenograft model was based on

previously published methods with some modifications (Madhankumar et al. 2009;

Yamashita et al. 2007). Briefly, seven-week-old male Wistar rats were allowed a 7

days acclimatisation period after arrival. The animal weight was recorded upon

arrival. Immediately before surgery, single cell suspensions of C6 were harvested by

trypsinisation. The cells were washed in PBS, and resuspended with serum free

DMEM at a seeding concentration of 1×107 cells/mL. Rats were deeply anesthetised

by i.p. injection of Ketamine-Xylazine (75 mg/kg - 10 mg/kg body weight) and then

placed in a stereotactic device (Model 900 Small Animal Stereotaxic Instrument,

KOPF®, USA). The head was mounted in a head holder. Hair was shaved and the

head was cleaned with Betadine Surgical Scrab solution, followed by 80% ethanol

twice. The skin was incised in the midline and a small hole was made with a drill at a

point approximately 3 mm from mid-line, 2 mm posterior to the coronal suture in the

anterior part of the right skull. One million C6 cells, suspended in a total volume of

10 L DMEM, was injected using the Harvard Apparatus Pump 11 Elite Syringe

Pumps (USA) with the 26 gauge needle (Harvard apparatus, USA) at the rate of 1

L/min over a period of 10 min into the right brain hemisphere, 6 mm beneath the

bone surface. After injection, the needle was left in the brain for 10 min to minimise

movement of the cells away from the site and to improve reproducibility. Then, the

needle was withdrawn slowly, with 5 min suspension for each millimetre. The needle

hole on the scalp was sealed with bone wax, and the incision was closed using

sutures. Rats were monitored every day. Eighteen days after the surgery, free DOX

or SCL-DOX (at the dosage of 5 mg/kg of DOX) was given via i. v. administration

through the tail vein. Rats were sacrificed 24 h after injection by injection of

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Lethabarb R (100 mg/kg). Tumours and tissues were collected for DOX

concentration analysis. All the measurement procedures were the same as described

in Section 2.3.3.7.

2.3.3.17 Establishing standard curves of DOX in tissues and tumours in

intracranial brain tumour xenograft models

The establishment of standard curves of DOX in tissues and C6 gliomas were the

same as described in Section 2.3.3.6.

2.3.3.18 Tumour uptake and tissue distribution in intracranial brain tumour

xenograft models

The glioma-bearing rats were randomly divided into 2 experimental groups (3 mice

per group) for injection at day 18 after tumour inoculation. Formulations of either

free or SCL-DOX at doses of 5 mg/kg DOX or equivalent were administered via the

tail vein at a rate of 0.4 mL/min. After injection, rats were sacrificed by injection of

Lethabarb R (100 mg/kg) at 24 h time point. Tumours and tissues were collected and

then processed as described in Section 2.3.3.7.

2.3.4 Data analysis

The pharmacokinetic parameters were calculated from the average plasma

concentrations using the pharmacokinetic software DAS 2.0 software (Mathematical

Pharmacology Professional Committee of China, Shanghai, China). Data and results

were reported as means and standard error (means ± S.E.) unless otherwise stated.

The differences in the mean values among different groups were analysed using a

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one-way analysis of variance (ANOVA) using SPSS 13.0. Significance was

considered at values of p<0.05.

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Chapter 3 - Development of sulfatide-

containing nanoliposomal doxorubicin and

PEG-sulfatide-containing nanoliposomal

doxorubicin

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3.1 Introduction

Indiscriminate exposure of all cells in the body to a systemically administered

chemotherapy agent kills healthy cells as well as tumour cells (Alexis, F. et al. 2008;

Bawarski et al. 2008), causing severe toxicity to the patients and leading to serious

side effects, low efficacy and poor quality of life (Peer, Dan. et al. 2007; Sapra, P.,

Tyagi & Allen 2005). This non-specific tissue distribution and the resulting side-

effects limit the clinical application of anticancer drugs (Ganta, S. et al. 2008). Thus,

there is an urgent need to develop new chemotherapeutics that can target tumour

cells effectively. Over the past few decades, nanoscale therapeutic systems have

emerged as novel therapeutic modalities for combating cancer (Segal & Saltz 2009).

The nanoparticle formulations of traditional free antitumour drugs may have

improved pharmacokinetics (PK) and biodistribution (BD) profiles, enhanced

antitumour efficacy, as well as reduced toxicity to healthy tissues.

Liposomal drugs were the first approved and widely used such nanomedicine for

the treatment of cancers (Barenholz 2012; Krown et al. 2004; Sawant & Torchilin

2012; Wang, AZ, Langer & Farokhzad 2012). Liposomes are microscopic

phospholipid vesicles with a bilayered membrane structure. Preclinical and clinical

studies have shown that the pharmacokinetic profiles, as well as the targeting

specificities, of liposomes can be controlled and modified to reduce the side effects

of encapsulated drugs and enhance their efficacy (Davis, Chen & Shin 2008; Park, K

2007; Torchilin 2006).

The targeted delivery of anticancer agents to the tumour microenvironment is a

promising avenue for the therapy of metastatic tumours. Tenascin-C, a large

extracellular matrix (ECM) hexabrachion glycoprotein, is highly expressed in the

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microenvironment of most solid tumours, but is absent or greatly reduced in most

adult tissues (Brellier & Chiquet-Ehrismann 2012). As sulfatide, a lipid that is found

in humans, is known to bind several ECM glycoproteins including tenascin-C

(Kappler et al. 2002), it has the potential to be one of the components of

nanoliposomes to target tumours expressing high levels of tenascin-C. We had

recently developed a novel liposomal carrier system that was composed of two lipids

found in humans, sulfatide and DOPE (He et al. 2010; Townson et al. 2007). Under

physiological pH, DOPE confers stability to sulfatide-containing liposomes (SCL)

via its inhibitory effects on liposome fusion, as the incorporation of sulfatide into

DOPE vesicles greatly enhances the stability of the liposomes formed, even in the

presence of plasma, presumably due to the hydration of the negatively charged

sulfate head-group of the glycosphingolipid (Shao, Ke et al. 2006). Previous study

indicated that the SCL could significantly improve the cellular uptake in cells with

high level of tenascin-C expression compared to the nanoliposomes without sulfatide

(Shao, Ke et al. 2006). We had also demonstrated that the interaction between

sulfatide and tenascin-C mediates the binding of SCL to the ECM and endocytic

uptake of the liposomes by tumour cells at least in vitro (Shao, Ke et al. 2006; Shao,

K. et al. 2007). As a result, the sulfatide-containing liposomal carrier system

represents a new class of natural lipid-guided intracellular delivery system targeting

the tumour microenvironment.

In exploring such a new direction for the development of more effective anticancer

chemotherapeutics, it is important to understand the in vivo behaviour of the

nanocarrier, as the unique distribution governed by the properties of the nanocarrier

can change the therapeutic efficacy as well as alter the toxicity profile of the

encapsulated drug. However, the in vitro and in vivo stability of the drug

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encapsulated SCL, as well as its pharmacokinetic behaviour and the BD pattern are

yet to be established. Thus, this chapter explores the physiochemical properties of the

sulfatide-containing liposomal doxorubicin (SCL-DOX) in vitro, as well as the

pharmacokinetics (PK) and BD in vivo.

The work presented here was performed in collaboration with Yan Yu.

Parts of this Chapter have been published (Lin J, Yu Y, Shigdar S, Fang DZ, Du

JR, Wei MQ, Danks A, Liu K and Duan W. “Enhanced antitumor efficacy and

reduced systemic toxicity of sulfatide-containing nanoliposomal doxorubicin in a

xenograft model of colorectal cancer”. PLoS ONE, 2012, 7(11): e49277.)

3.2 Results

3.2.1. Characterisation of nanoliposomes

3.2.1.1 Establishing standard curves for determination of DOX loading

efficiency

To evaluate DOX loading efficiency in SCL via HPLC, standard curves were

constructed by plotting peak area of fluorescence derived from DOX vs. DOX

concentrations. To mimic samples to be determined, SCL-DOX or PEG-SCL-DOX

without purification using size-exclusion chromatography were used as standards and

diluted to series of DOX concentrations from 50 ng/mL to 20,000 ng/mL, followed

by the HPLC measurement. A linear regression analysis was used for quantitation.

As shown in Figure 3-1, a good linearity between peak areas and concentrations was

obtained within the tested concentrations with a correlation coefficient of R2=0.9980

(for SCL-DOX and 3% PEG-SCL-DOX) or R2=0.9991 (for 5 % PEG-SCL-DOX).

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Figure 3-1. Standard curves for determination of DOX loading efficiency. The standard formulas were determined by linear regression as y = mx + b, where y is the peak area of DOX and x is the DOX concentration. (a) Standard curve for determination of DOX loading efficiency in SCL. (b) Standard curve for determination of DOX loading efficiency in SCL with 3% PEG2000-DSPE. (c) Standard curve for determination of DOX loading efficiency in SCL with 5% PEG2000-DSPE. Liposomal formulations were diluted with a methanol and phosphate buffer mixture (55:45, v/v) to different concentrations and measured using HPLC.

3.2.1.2. Establishing standard curves for phospholipids assay

To determine the DOPE concentration in the SCL-DOX, DOPE standards with

different concentrations were prepared and measured using a spectrophotometer for

construction of the calibration curve by plotting absorbance (y) vs. concentrations (x).

As shown in Figure 3-2, the correlation coefficients (R2) of the standard curve was

0.9996, suggesting a good linear regression of the absorbance vs. the concentration

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within the concentration range of 0 – 1,000 g/mL in UV-spectrophotometry for

DOPE.

Figure 3-2. Standard curves for phospholipids assay. One mg/mL DOPE stock in chloroform were diluted with chloroform to different concentrations and measured by UV-spectrometry. The standard formulas were determined by linear regression as y = mx + b, where y indicated the absorbance while x was the concentration of DOPE. Data are shown as

means S.E. (n=3).

3.2.1.3 Characterisation of nanoliposomes

As the composition and preparation method of liposomes could directly affect

their physicochemical characteristics (Fatouros & Antimisiaris 2001), the loading

efficiency, size, drug-to-lipid ratio and surface charge were analysed for drug-

incorporating SCL and PEG-SCL for comparison. The physicochemical

characteristics of SCL and PEG-SCL are presented in Table 3-1. The mean vesicle

size of SCL incorporating DOX was 92.32 ± 1.31 nm with a polydispersity index

(PDI) of 0.15 ± 0.01. At an initial weight ratio of DOX-to-DOPE of 0.3:1, the

efficiency of DOX loading to SCL using an ammonium sulfate gradient was 94.11%

± 2.27%, consistent with the previous report (Fritze et al. 2006). The zeta potential

value of SCL was -26.38 ± 2.20 mV. The DOX to DOPE weight ratio after DOX

encapsulation into SCL was 0.50:1. When compared within different formulations,

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SCL showed the highest loading efficiency, as well as the best DOX to DOPE ratio,

while the SCL with 3% PEG2000-DSPE indicated the smallest particle size (75.23 ±

6.73 nm), the lowest DOX encapsulation efficiency (81.47% ± 1.89%) and the

lowest drug-to-lipid ratio (0.23:1). The loading efficiency of SCL with 5% PEG2000-

DSPE was 89.54% ± 1.36%. The size and PDI were found to be 75.86 ± 5.62 nm and

0.11 ± 0.1, respectively. The average value of zeta potential was -11.37 ± 0.26 mV.

Table 3-1. Physical properties of the liposomal formulations.

Composition DOX loading efficiency (%)

Particle size (nm)

DOX-to-DOPE ratio (w/w)

Polydispersity index (PDI)

Zeta potential (mV)

SCL-DOX 94.11 ± 2.27 92.32 ± 1.31 0.50:1 0.15 ± 0.01 -26.38 ± 2.20 PEG-SCL (3 % PEG) 81.47% ± 1.89 75.23 ± 6.73 0.23:1 0.14 ± 0.01 -19.44 ± 1.82PEG-SCL (5 % PEG) 89.54 ± 1.36 75.86 ± 5.62 0.24:1 0.11 ± 0.01 -11.37 ± 0.26

Data are shown as means ± S.E. of at least three independent experiments.

3.2.2 In vitro drug retention properties.

3.2.2.1 Establishing standard curves for in vitro release kinetics in PBS and

PBS/10% FBS

To analyse the stability of SCL-DOX in vitro, standard curves for the

measurement of DOX in PBS or in PBS/10%FBS were established using 16 standard

DOX solution concentrations covering a range from 0.1 ng/mL to 20,000 ng/mL and

measured using HPLC. As shown in Figure 3-3, peak area of fluorescence derived

from DOX vs. analytic concentration showed a good linear relationship with a

correlation coefficient of R2 > 0.999.

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Figure 3-3. Standard curves for in vitro release kinetics in PBS and PBS/10% FBS. The standard formulas were determined by linear regression as y = mx + b, where y is the peak area of fluorescence derived from DOX and x is the DOX concentration. (a) Standard curves of SCL-DOX for in vitro release kinetics in PBS. (b) Standard curves of SCL-DOX for in

vitro release kinetics in PBS/10% FBS. (c) Standard curves of SCL-DOX with 3% PEG2000-DSPE for in vitro release kinetics in PBS. (d) Standard curves of SCL-DOX with 3% PEG2000-DSPE for in vitro release kinetics in PBS/10% FBS. (e) Standard curves of SCL-DOX with 5% PEG2000-DSPE for in vitro release kinetics in PBS. (f) Standard curves of SCL-DOX with 5% PEG2000-DSPE for in vitro release kinetics in PBS/10% FBS. DOX stock in methanol was diluted with methanol/PBS (v/v=1:1, for standard curve in PBS, or v/v=2:1, for standard curve in PBS/10% FBS) to different concentrations and quantified using HPLC.

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3.2.2.2 In vitro drug retention properties

Having established that SCL showed high loading efficiency, ideal size for in vivo

delivery and negative surface charge, study was proceeded to evaluate the stability of

drug encapsulation as it is essential for efficient drug delivery to the target site. In

vitro DOX release from SCL or PEG-SCL was determined by dialysing SCL-DOX

or PEG-SCL-DOX against PBS or PBS with 10% FBS at 37 °C and measuring the

DOX concentration over time from the fluid within the dialysis container. As shown

in Figure 3-4, there was minimal DOX leakage from the SCL during the first 48 h

dialysis period, with more than 99% of DOX retained in the SCL after 48 h under

both PBS and PBS/serum dialysis conditions. The release of DOX was found to

increase following 48 h incubation. The percentage of DOX retained in the SCL after

72 h was 84.06% ± 8.63% in PBS and 91.91% ± 1.36% in PBS with 10% serum,

respectively. The percentage of DOX retained in the PEG-SCL with 3% PEG after

72 h was 99.96% ± 1.21% in PBS and 99.98% ± 0.95% in PBS with 10% FBS

respectively. Similarly, there were more the 99% of DOX retained in the SCL with 5%

PEG2000-DSPE in both PBS and PBS/10% FBS dialysis condition (99.97 ± 0.74%

and 99.98% ± 0.82%, respectively). Thus, all liposome formulations in the study

were very stable for 48 h 37 °C and retained substantial physical stability after 72 h

in vitro.

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Figure 3-4. In vitro stability of SCL-DOX and PEG-SCL-DOX. (a) In vitro stability of SCL-DOX. (b) In vitro stability of SCL-DOX with 3% PEG2000-DSPE. (c) In vitro stability of SCL-DOX with 5% PEG2000-DSPE. The stability of SCL-DOX or PEG-SCL-DOX was studied by analysing the release of DOX via dialysis assay in PBS or PBS with 10% FBS at 37 °C. Aliquots of dialysis buffer were collected at designated time points (0, 0.5, 1, 4, 8, 24, 48 and 72 h). DOX released into the dialysis buffer was quantified using HPLC. Data are

shown as means S.E. of at least three independent experiments.

3.2.3 Flow cytometry analysis for intracellular uptake of SCL-DOX

To evaluate the accumulation of SCL-DOX in vitro, the intracellular uptake of

DOX and SCL-DOX was studied using flow cytometry utilising the natural

fluorescent property of DOX. Human glioblastoma cells U-118MG and human

adenocarcinoma cells MCF-7 were incubated with 4 g/mL DOX or equivalent

amounts of SCL-DOX for 1 h, 2 h, 4 h, 6 h or 24 h followed by washing with PBS

three times. Cells were then trypsinised and the fluorescence of cells was measured.

As shown in Figure 3-5, the intracellular fluorescence intensity of SCL-DOX was

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lower than that of free DOX in both MCF-7 and U-118MG cells at all time points

during the time period assayed, suggesting that free DOX was taken up more rapidly

by the breast cancers and glioma cells than SCL-DOX in vitro.

Figure 3-5. DOX uptake in MCF-7 and U-118MG cells. Cells were treated with 4 g/mL of either free DOX or SC-DOX for the time indicated. The intracellular mean intensity of DOX fluorescence was analysed using flow cytometry (excitation wavelength: 552 nm, emission wavelength: 578 nm). Data are expressed as means ± S.E. of triplicates.

3.2.4. In vivo characteristics of SCL-DOX and PEG-SCL-DOX.

3.2.4.1 Establishing standard curves for DOX concentration in plasma

Before the quantitative determination of DOX in plasma, plasma spiked with a

serial dilution of DOX concentrations were prepared to obtain the calibration line for

the following PK study. A linear regression was used for quantitation. The

correlation coefficient (R2) for the calibration curve was 0.9998 (Figure 3-6),

indicating a good linearity between peak areas and DOX concentrations was obtained

within the tested concentrations ranging of 2 ng/mL to 10,000 ng/mL.

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Figure 3-6. Standard curve for DOX concentration in plasma. The standard curve was constructed by measurements of plasma spiked with a serial dilution of DOX solutions. The calibration curve was generated by plotting peak area of fluorescence derived from DOX against the DOX concentrations in solution. Sample concentrations were determined by linear regression using the formula y = mx + b, where y is the peak area of DOX ( V × sec) and X is the DOX concentration (ng/mL).

3.2.4.2 Improved pharmacokinetic properties of SCL in healthy SD rats

Pharmacokinetic parameters were evaluated after the single i.v. administration of 5

mg/kg free DOX, SCL-DOX or PEG-SCL-DOX. Due to better encapsulation

efficiency, higher drug-to-lipid ratio and similar stability in vitro compared to SCL

with 3% PEG2000-DSPE (Table 3-1 and Figure 3-4), SCL with 5% PEG2000-DSPE

were chosen as the formulation for PK studies. The pharmacokinetic properties in

healthy male SD rats were determined from plasma concentration-time profiles of

free DOX, SCL-DOX and PEG-SCL-DOX. The main pharmacokinetic parameters

are shown in Table 3-2. In the study, the terminal half-life with free DOX in plasma

was 20.65 ± 1.34 h.. However, the terminal half-life was 41.89 ± 3.58 h with SCL-

DOX, showing a 2.03-fold increase in the terminal half-life. Indeed, the steady state

Vd of free DOX (18.36 L/kg) was 25.15-fold higher than SCL-DOX (0.73 L/kg). The

clearance rate of DOX encapsulated by SCL-DOX (1.39 L/h/kg) was significantly

lower than that of DOX solution (2.68 L/h/kg, p < 0.01). The area under the plasma

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concentration-time curves (AUC0- ) of DOX delivered through SCL was 2.06-fold

higher than free DOX (3597.03 ± 99.36 g/Lh and 1746.87 ± 69.94 g/Lh,

respectively). PK parameters given in Table 3-2 also indicated that PEG-SCL

formulation had the highest AUC0- (73730.54 ± 6161.04 g/Lh), the slowest rate of

clearance (0.62 ± 0.02 L/h/kg) and smallest Vd (0.05 ± 0.01 L/kg) among the tested

formulations. However, DOX in the serum of rats injected with PEG-SCL-DOX

decreased significantly after 2 h (Figure 3-7), which resulted in a decreased

elimination half-life (T1/2) when compared with that of free DOX and SCL-DOX.

Table 3-2. Pharmacokinetic parameters for free DOX, SCL-DOX and PEG-SCL-DOX. Formulations AUC0- ( g/Lh) t1/2 (h) CL (L/h/kg) Vd (L/kg) Free DOX 1746.87 ± 69.94 20.65 ± 1.34 2.68 ± 0.22 18.36 ± 0.80 SCL-DOX 3597.03 ± 99.36** 41.89 ± 3.58** 1.39 ± 0.04** 0.73 ± 0.01**

PEG-SCL-DOX 73730.54 ± 6161.04*** ### 0.06 ± 0.01*** ### 0.62 ± 0.02*** # 0.05 ± 0.01***##

Data are shown as means ± S.E. of at least three independent experiments. AUC: Area under the plasma concentration-time curves. t1/2, Elimination half-life. Vd: Volume of distribution. **, p<0.01 compared to free DOX. ***, p<0.001 compared to free DOX. #, p<0.05 compared to SCL-DOX. ##, p<0.01 compared to SCL-DOX. ###, p<0.001 compared to SCL-DOX.

Figure 3-7. Plasma clearance of different DOX formulation in healthy SD rats. Free DOX or DOX containing nanoliposomes were injected i. v. via tail vein with a single dose of 5 mg DOX/kg. At selected time points after injection (0.033, 0.5, 2, 6, 24 and 48 h), rats

were euthanised and the DOX was extracted and quantified. Data are shown as means S.E. for g DOX per g of tissue (n=4-5).

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3.2.4.3 Establishing standard curves for tissue distribution

Before the quantitative determination of DOX in tissues, tissues (including heart,

liver, spleen, lung and kidney) spiked with a serial dilution of DOX solutions were

prepared to obtain calibration line which was used for assessing the concentration

corresponding to the different peaks in the chromatograms. The relationship between

peak areas and DOX concentrations was assessed over a range of 50-5,000 ng/mL.

The correlation coefficients (R2) for calibration curves was better than 0.996 (Figure

3-8), suggesting a good linear regression within the tested ranges.

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Figure 3-8. Standard curves for tissue distribution. The standard curve was constructed by measurements of tissues spiked with a serial dilution of DOX solutions. The calibration curve was generated by plotting the peak area of fluorescence derived from DOX against the DOX concentration in solution. Standard formulas were determined by linear regression as y = mx + b where y is the peak area of DOX ( V × sec) and x is the DOX concentration (ng/mL).

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3.3.4.4 Tissue distribution advantages of SCL-DOX in SD rats

Next, the BD characteristics were evaluated of SCL-DOX after i. v. injection of a

single dose of 5 mg/kg free DOX or SCL-DOX in healthy SD rats. As shown in

Figure 3-9, treating the rats with SCL-DOX led to a significantly decreased DOX

accumulation in the heart, lung and kidneys. In the heart and lung, the DOX

concentration was significantly lower in the animals receiving SCL-DOX than those

receiving free DOX at all time points, with as much as a 9-fold and 7-fold lower

concentration in the SCL-DOX group at 2 h for the heart and lung, respectively

(Figures 3-8(a) and (d)). Moreover, distribution of DOX at 0.5 h, 2 h and 4 h time

points in the kidney was significantly reduced by i. v. administered SCL-DOX when

compared to free DOX (Figure 3-9(e)). Consistent with the reported enhanced

sequestration of nanoparticles, including liposomes, by organs of the

reticuloendothelial (RES) system (Rahman et al. 1986a; Sugiyama & Sadzuka 2011),

the DOX concentration was significantly higher in the liver of animals receiving

SCL-DOX than those received free DOX (Figure 3-9(b)). In the spleen, the DOX

concentration in the SCL group was significantly higher than the free DOX group

only during the first 2 h following administration. There was no statistically

significant difference in the DOX concentration at 4 h and 24 h points in the spleen

between different treatment groups (Figure 3-9(c)).

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Figure 3-9. Biodistribution of DOX encapsulated in SCL in SD rats. Biodistribution of DOX encapsulated in SCL in SD rats. Healthy rats were injected with a single dose of 5 mg/kg free DOX or SCL-DOX i. v. Rats were euthanised at 0.5 h, 2 h, 4 h and 24 h after the administration. Organs were harvested, washed, weighed, and the DOX was extracted and

quantified. Data are shown as means S.E. for g DOX per g of tissue (n=5-6). ***p<0.001 compared to free DOX.

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3.2.4.5 Drug-to-lipid ratios in vivo

In order to evaluate the in vivo stability of SCL-DOX in various tissues, DOX-to-

lipid ratios in tissues were measured after i. v. injection of a single dose of 5 mg/kg

free DOX or SCL-DOX in healthy SD rats. [3H] cholesteryl hexadecyl ether (CHE)

was added to DOPE as a nonmetabolised, nonexchangeable lipid tracer (Hussain et al.

2007). The [3H] labelled lipids in tissues were analysed using a liquid scintillation

analyser and DOX concentrations were measured using HPLC. The DOPE levels in

tissues were determined by scintillation counting of [3H] followed by converting [3H]

to DOPE using the calculating DOPE-to-[3H] CHE ratio of 1:24000. As shown in

Table 3-1, the DOX-to-DOPE ratio before administration (set as the baseline for

intact SCL-DOX) was 0.5:1. The DOX-to-lipid ratios in different tissues and in

plasma of healthy rats were determined and shown in Figure 3-10. As 3H-CHE is a

nonmetabolised, nonexchangeable lipid tracer, DOX-to-lipid ratios increased when

DOX accumulated or liposome contents were lost. As shown in Figure 3-10, there

were significant increased DOX-to-DOPE ratios in tissues except in the liver and the

spleen which are two major organs for the clearance of liposome formulations

(Drummond, D. C. et al. 1999a) after the i.v. administration, suggesting the breaking

down of DOX encapsulated liposomes by the macrophages of the reticuloendothelial

system (RES) (De Jong & Borm 2008). Meanwhile, the elevated DOX-to-DOPE in

the kidney might be related to the renal clearance of small molecules (Haas et al.

2002). On the other hand, the peak ratio occurred at 2 h point in the spleen and lung

(Figure 3-10 (a)), while in the heart, the highest ratio was at 4 h point following

injection. Conversely, the peak ratio was reached at 0.5 h after SCL-DOX injection

in the liver and kidney (Figure 3-10 (b) and 10 (c)). The early time to peak ratio in

the liver may reflect the sequestration of liposomes by the RES. Moreover, the ratio

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decreased significantly in all tissues after the peak point. Notably, unlike other

organs which displayed an elevated ratio at 24 h compared to 4 h, there was a

persistent decrease of drug-to-lipid ratio in the heart. The early accumulation but

rapid clearance of the drug in the heart (Figure 3-9 (a) and Figure 3-10 (a)) indicated

the potential of reduced cardiotoxicity of DOX encapsulated by SCL. Furthermore,

the significantly increased ratio data in the liver at 24 h suggests that drug-depleted

SCL continued to accumulate in this organ. Meanwhile, there was a significant

increase of drug-to-lipid ratio in the bloodstream at 0.5 h. Then, the ratio decreased

significantly after the peak (Figure 3-10 (d)), indicating that there might be a DOX

accumulation in the plasma in a short period after i.v. administration.

Figure 3-10. DOX-to-lipid ratios in tissues and plasma of rats. Healthy rats were injected with a single dose of with 5 mg/kg [3H]-tracking SCL-DOX i. v. For tissue distribution study, rats were euthanised at 0.5 h, 2 h, 4 h and 24 h after the administration. For plasma study, rats were euthanised at 0.033 h, 0.5 h, 2 h, 6 h, 24 h and 48 h after the administration. Organs

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were harvested, washed, weighed, and [3H] were quantified using liquid scintillation

counting. Data are shown as means S.E. (n=5-6).

3.3 Discussion

In the present study, the physicochemical characteristics and in vitro stability of

different liposomal formulations were investigated. In addition, in vitro cellular

uptake of DOX and SCL-DOX in U118MG and MCF-7 were compared. Meanwhile,

following the instrumental conditions reported in the Methodology Chapter, the

correlation coefficient (R2) for all calibration curves were equal to 0.990 or higher,

presenting a good linear relationship between instrument response and analytical

concentration within the analytical concentration ranges. Furthermore, this is the first

study investigating the PK properties and BD profiles of SCL-DOX in healthy SD

rats.

DOX was successfully encapsulated in the SCL or PEG-SCL efficiently. The PDI

of different formulations were less than 0.2 for all formulations, which indicated that

liposomes had a homogeneous size distribution. Zeta potential is another important

index for the stability of liposomal formulations. High absolute values of zeta

potential indicates high electric charge on the surface of the drug loaded liposomes,

which can prevent the aggregation of liposomes in buffer due to strong repellent

forces (Kim, JY et al. 2009). It was shown that formulations in the study have

negative surface charge. Meanwhile, the zeta potential of SCL and PEG-SCL in this

study was within -30 mV (Table 3-1). The decreased absolute value of zeta potential

in PEG-SCL with 5% PEG2000-DSPE and with 3% PEG2000-DSPE compared to SCL

might be attributed to the inclusion of PEG (Sezgin, Yuksel & Baykara 2006). One

of the possible mechanisms for the PEG effect on surface charge is that the presence

of PEG on the liposome may lead to the slipping plane away from liposome surface

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and hence reduce the zeta potential. Another possible mechanism is the reduced

mobility of liposomes caused by the presence of the PEG chains on the liposome

surface, which could also lead to the decreased zeta potential (Kim, JY et al. 2009).

In the literature, most of the reported DOX-to-lipid ratio after loading was between

0.2:1 and 0.3:1 (w/w) (Hernández, Martí & Estelrich 1991; Hussain et al. 2007;

Mayer et al. 1989) while in this study, a DOX-to-DOPE ratio was 0.50:1 (w/w) for

SCL after encapsulation (Table 3-1). Therefore, the SCL might have the potential to

encapsulate more drugs than many other published formulations of nanoliposomes.

However, the loading efficiency and drug-to-lipid ratio was lower in the PEG-coated

SCL. In a previous study, Wang et al. had indicated that encapsulation efficiency of

liposomes would be decreased significantly when PEG was added (Wang, CH &

Huang 2003). Reduced entrapping efficiency of PEGylated liposome might be a

result of the 3-dimensional steric hindrance around the liposomes inducing by

inserting PEG into lipids bilayers, which would keep drugs from entering the inside

of the vesicles (Wang, CH & Huang 2003).

The stability of the encapsulated drug in nanocarriers, which is essential for

efficient drug delivery to the target site, is another important concept to consider

when interpreting these data. The in vitro stability study suggested that SCL were

very stable for 48 h 37 °C and retain substantial physical stability at 72 h in vitro

(Figure 3-4). Interestingly, the percentage of liposomal DOX leakage after 24 h

incubation in other studies was generally more than 5% (Huang et al. 2010; Lim et al.

1997; Sadzuka et al. 2003; Song, H et al. 2006b), in contrast to minimal payload

leakage of SCL-DOX at 48 h in this study. Moreover, PEG-SCL formulations

displayed better DOX retention properties during dialysis as expected due to the

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sterically stabilised function of PEG (Meyer et al. 1998). Therefore, both SCL and

PEG-SCL displayed superior DOX retention properties in vitro under the

experimental conditions used.

In the cellular uptake study evaluated by flow cytometry, the mean intensity of

fluorescence of DOX in cells treated with free drugs was higher than those treated

with SCL-DOX (Figure 3-5), suggesting a lower cellular uptake of SCL-DOX in

culture dishes. Similar results can be found in previous studies. For example, PEG-

complexed cationic liposome had been shown to have a lower uptake than free DOX

in murine melanoma cells (Jung et al. 2009a). Meanwhile, in human cancer cell lines,

including A375P (human melanoma), MCF-7 (human breast adenocarcinoma) and

HepG2 (human hepatoma), free DOX displayed a higher level of uptake when

compared with their liposomal formulation as well (Song, CK et al. 2009). As the

lower intracellular uptake might be associated with the lower cytotoxicity, the

liposomal formulation might be less toxicity to tumour cells in vitro. However, cells

cultured in monolayer are exposed to a constant drug concentration throughout the

entire assay period, and often take up free DOX more rapidly than liposomal

formulations (Accardo et al. 2012). Therefore, uptake in vitro may not provide a

reliable prediction of therapeutic efficacy in vivo (Xu & Anchordoquy 2011).

The comparison of pharmacokinetic properties between free DOX and SCL-DOX

in healthy SD rats displayed a significantly decreased clearance rate of SCL-DOX

compared to free DOX (p<0.01). The pharmacokinetic studies of SCL-DOX in

healthy SD rats also revealed the elimination half-life of SCL-DOX to be

significantly longer than that of free DOX (p<0.01). The same improvements were

found in the area under the plasma concentration-time curve from time 0 to infinity

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and apparent Vd (Table 3-2), indicating significantly prolonged circulation time and

enhanced bioavailability of SCL-DOX compared to free DOX. In the study, the short

terminal half-life with free DOX in plasma was consistent with data from previous

studies (Rahman et al. 1986a; Wei, G et al. 2008). The terminal half-life showed a

2.03-fold increase in the terminal half-life, suggesting a significantly increased

circulation time of SCL-DOX (p<0.01) as well as a decrease of volume of

distribution (Vd) compared to free drug. Moreover, the significant decreased

clearance rate of DOX encapsulated by SCL-DOX suggested a different rate of

clearance of SCL-DOX compared to free drug. The increased AUC0- of DOX

delivered through SCL (2.06-fold higher than free DOX), suggesting a decreased in

non-specific binding as well as a selective sequestration of the drug to tissues when

administered entrapped in SCL, leading to enhanced bioavailability. The decreased

half-life of PEG-SCL-DOX compared with that of free DOX and SCL-DOX might

be related to the significant clearance from the bloodstream 2 h after

injection.( Figure 3-7), which resulted in a decreased elimination half-life (T1/2).

Unexpectedly, liposomes modified with PEG showed a very short circulation half-

life in vivo. Therefore, although PEG coating has been widely used to prolong the

half-life of liposomal formulations and most studies have indicated that PEG-coated

liposomes generally have a longer circulation life in the bloodstream than

conventional liposomes (Allen, T. M. et al. 1991; Immordino, Dosio & Cattel 2006),

the PEG-SCL-DOX in this study showed no advantage to the circulation life.

Another study has also indicated a shorter half-life of PEG-coated liposomal

doxorubicin compared to free DOX (Wei, G et al. 2008). The possible reasons for the

reduced half-life of our PEG-SCL might be the rapidly exchange out of the lipid

bilayer in vivo (Gregoriadis, G (ed.) 2006). Due to the decreased particle size of

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PEG-SCL-DOX compared with SCL-DOX, the smaller particles might result to the

reduced half-life in the blood stream (Desai, N 2012).

In addition, there was a significant improvement of BD profile of SCL-DOX. As a

widely used and efficient antitumour drug, the risk of severe cardiotoxicity is a well-

known barrier to the use of free DOX in clinical therapy (Tokarska-Schlattner et al.

2005). Encapsulation of DOX into SCL resulted in an approximate 4-fold lower

DOX concentration in the heart of rats receiving SCL-DOX (Figure 3-9), which

represented a significant improvement over those reported by others showing an

approximately 1.5 times lower DOX accumulation in the heart of other liposomal

DOX formulation than free DOX (Xiong, Huang, Lu, Zhang, Zhang & Zhang 2005;

Xiong, Huang, Lu, Zhang, Zhang, Nagai, et al. 2005). As a result, the significant

reduction in accumulation of DOX in the heart indicated the potential of SCL-DOX

in reducing the cardiotoxicity of DOX. This was consistent with observations from

DOX-to-lipid ratio in tissues. The data demonstrated that although there was an early

accumulation of SCL-DOX in the heart, DOX was eliminate rapidly from the tissue

(Figure 3-10 (a)), suggesting an improved safety profile of SCL-DOX in vivo.

3.4 Conclusion

In conclusion, a series of studies had been designed and carried out to

analyse SCL for DOX encapsulation. The simple two-lipid liposomes demonstrated a

satisfactory loading efficiency of DOX and a high stability in vitro. Moreover, this

nanodrug had favourable pharmacokinetic attributes in terms of prolonged

circulation time, decreased clearance rate, reduced volume of distribution and

enhanced bioavailability in healthy rats. As a result of the improved biodistribution

and the targeting property of sulfatide to tenascin-C, SCL might have the potential to

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be an effective and safer nano-carrier for DOX for the treatment of tumours with

elevated expression of tenascin-C.

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Chapter 4 - Enhanced antitumour activity and

reduced systemic toxicity of glioma tumour

microenvironment targeted sulfatide-containing

liposomes

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4. 1 Introduction

Glioblastoma is very heterogeneous and the most common form of malignant

primary brain tumours (Ohgaki 2009). It presents with an unfavourable prognosis

due to its aggressiveness and likelihood of recurrence (Veenman et al. 2010). Thus,

the development of novel anti-glioblastoma treatments is mandatory. Doxorubicin

(DOX) is an anthracycline antibiotic widely used in oncology clinics as an anticancer

chemotherapeutic agents. It was first introduced in the 1970s, and has now become

one of the most commonly used anticancer drugs in the treatment of haematological

malignancies and solid tumours (Arola et al. 2000). However, when a cumulative

dose reaches 450 to 500 mg/m2, it may lead to cardiomyopathy, resulting in

congestive heart failure (Imondi et al. 1996; Olson et al. 1988), which has become

one of the well-known barriers of DOX in clinic utility. Moreover, serious toxicity to

normal tissues, such as myelosuppression, is also leading to a poorer quality of life

for patients (Charrois & Allen 2003). As a result of ongoing efforts in developing

nanoparticle drug delivery systems, the liposomal formulations of doxorubicin, such

as Doxil®, have entered the clinic with improved efficacy and reduced side effects

(Elbayoumi, T. A. & Torchilin, V. P. 2008).

One promising strategy to improve anticancer agents binding and penetrating into

tumours is to develop drug carriers with a component that binds to the tumour cell

surface or the extracellular matrix of tumours. Sulfatide, a lipid that is found in

humans, is involved in a variety of biological processes, such as cell adhesion,

platelet aggregation, cell growth, protein trafficking, signal transduction, neuronal

plasticity and cell morphogenesis. It is known to bind several extracellular matrix

glycoproteins including tenascin-C (Townson et al. 2007) which is overexpressed in

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the microenvironment of most solid cancers, including malignant brain tumours

(Orend & Chiquet-Ehrismann 2006). Studies had recently shown that sulfatide was

specifically required for robust uptake of sulfatide-containing nanoliposomes by

human glioblastoma cells U-87MG (Shao, Ke et al. 2006; Wu, X & Li 1999). The

unique feature of this nanoliposome is that it is comprised of two natural lipids found

in human cells, namely sulfatide and DOPE. Thus, this nanoliposome is totally

human compatible and degradable. The sulfatide-containing liposomal (SCL-DOX)

had been found to remain intact for hours after uptake by the glioblastoma cells

(Shao, Ke et al. 2006; Wu, X & Li 1999). Intracellular distribution studies had

indicated a high accumulation of DOX in the nuclei where it exerted its cytotoxic

effect after 12 h incubation with SCL-DOX at 37 °C (Shao, Ke et al. 2006; Wu, X &

Li 1999).

Recognising the potential of the use of a tumour environment targeting ligand as

one of the main structural constituents of the nanocarriers capable of both passive

and active targeting, a series of studies had been designed and carried out to

determine the in vitro stability, the pharmacokinetic behaviour and the

biodistribution pattern of the SCL-DOX (Chapter 3). The data have indicated that the

sulfatide-containing liposomal carrier system represents a new class of natural lipid-

guided intracellular delivery systems which have the potential to increase treatment

efficacy and reduce systematic toxicity of the drug encapsulated.

Therefore, in the current study, cellular uptake and retention of SCL-DOX in U-

118MG glioblastoma cells were examined. The potential clinical utilities of this

novel class of natural lipid-guided and tumour microenvironment targeting

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nanoliposome were demonstrated via studies on its biodistribution in both U-118MG

tumour-bearing mice, as well as its antitumour efficacy and toxicity profiles.

The work presented here was performed in collaboration with Yan Yu.

Parts of this work have been submitted to Nanomedicine: Nanotechnology,

Biology and Medicine for publication.

4. 2 Results

4.2.1 In vitro cytotoxicity

In order to assess the in vitro cytotoxicity of SCL-DOX to glioma cells, U-118MG

glioblastoma cells were incubated with different formulations of DOX at various

concentrations (0-100 g/mL) for 48 h and the cytotoxicity of free DOX and SCL-

DOX to cells was compared using the MTT assay which measures the mitochondrial

conversion of 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide

(MTT) to formazan as detected by the change of optical density at 570 nm (Jung et al.

2009a). The IC50 values for DOX and SCL-DOX are shown in Table 4-1. The IC50

for free DOX (2.51 ± 0.33 g/mL) in U-118MG cells was lower than that observed

in U-118MG cells treated with SCL-DOX (19.55 ± 0.68 g/mL). These results

suggested that U-118MG cells were relatively more sensitive to free DOX than to

SCL-DOX following exposure to a constant concentration of the agent. There was no

significant toxicity of blank SCL after 48 h incubation (data not show). The lower

toxicity resulting from SCL-DOX to U-118MG cells in vitro is in good agreement

with the literature for other liposomes loaded with free DOX (Chen, Z et al. 2012;

Shmeeda et al. 2010) and is consistent with the previous stability study (Section in

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Chapter 3.2.2.2) as the in vitro cytotoxicity is related to the release rate of DOX from

nanocarriers (Song, H et al. 2006a).

Table 4-1. Mean IC50 values ( g/mL of DOX) for treatment with free DOX and SCL-

DOX. Cell line Free Dox ( g/ml) SCL-DOX ( g/ml) U-118MG 2.51 ± 0.33 19.55 ±0.68

Data are shown as means ± S.E. of three independent experiments performed in triplicate.

4.2.2 Intracellular uptake and retention of SCL-DOX in U-118MG cells

The accumulation and retention of DOX and SCL-DOX in U-118MG cells were

studied using laser scanning confocal microscopy utilising the natural fluorescent

property of DOX. Cellular uptake of free DOX or SCL-DOX by U-118MG was

examined following 24 h incubation with 2 g/mL DOX or equivalent amounts of

SCL-DOX. As shown in Figure 4-1, both free DOX and SCL-DOX accumulated in

the glioblastoma cells. The overlay of Hoechst staining (nucleus) and red

fluorescence (DOX) indicated that SCL-DOX was not adhered to the cell surface but

actually penetrated into the nucleus. However, there was a slightly stronger DOX

fluorescence (red) in cells treated with free DOX when compared to those treated

with SCL-DOX after 24 h incubation. Interestingly, SCL-DOX was better retained

by the U-118MG glioma cells. As shown in Figure 4-2 (a) and (c), there was a

significant decrease of DOX fluorescence in cells treated with free DOX only 2 h

after washing with PBS. In contrast, DOX fluorescence could be found in glioma

cells treated with SCL-DOX even 24 h after washing (Figure 4-2 (b) and (d)),

suggesting more sustained retention of DOX in U-118MG cells when delivered via

SCL-DOX than by free DOX. The improved retention of DOX encapsulated with

SCL in vitro implies the potential of better treatment efficacy of SCL-DOX in vivo.

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Figure 4-1. Intracellular uptake of SCL-DOX in U-118MG cells. Intracellular uptake of

SCL-DOX in U-118MG cells. U-118MG cells were incubated with 2 g/mL free DOX or equivalent SCL-DOX for 24 h. Cells were washed twice with PBS and imaged with a confocal fluorescence microscope. (a) Cells treated with free DOX (low magnification). (b) Cells treated with SCL-DOX (low magnification). (c) Cells treated with free DOX (high magnification). (d) Cells treated with SCL-DOX (high magnification). Red: fluorescence from DOX; blue: nuclei stained with Hoechst 33342. Data are representative of three independent experiments. Scale bars: 200 m (for (a) and (b)) or 20 m (for (c) and (d)).

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Figure 4-2. Intracellular retention of SCL-DOX in U-118MG cells. U-118MG cells were

first incubated with 2 g/mL free DOX or equivalent SCL-DOX for 24 h. Cells were then

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washed with PBS twice and cultured in fresh full culture medium. The same wells of cells were imaged serially at 1 h, 2 h, 4 h and 24 h after washing using fluorescence confocal microscopy. (a) Cells treated with free DOX (low magnification). (b) Cells treated with SCL-DOX (low magnification). (c) Cells treated with free DOX (high magnification). (d) Cells treated with SCL-DOX (high magnification). Data are typical of three independent experiments. Red: fluorescence from DOX; blue: nuclei stained with Hoechst 33342. Scale bars: 200 m (for (a) and (b)) or 20 m (for (c) and (d)).

4.2.3 Establishing standard curves for tissue distribution

Before the quantitative determination of DOX in tissues, the linearity of the

calibration curves correlating the fluorescence intensity measured by HPLC and the

amounts of DOX in different tissues (including heart, liver, spleen, lung, kidney and

tumour) was verified over the range of 10-500 ng/mL using tissues spiked with a

serial dilution of DOX solutions. As shown in Figure 4-3, the correlation coefficients

(R2) for calibration curves were better than 0.996. Thus, under the instrumental

conditions reported in Chapter 2 (Section 2.3.1.3), a good linearity between peak

areas and concentrations was obtained over the analytical concentration ranges.

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Figure 4-3 Standard curves for tissue distribution in mice. Standard curve was constructed by measurements of tissues or tumours spiked with a serial dilution of DOX solutions. The calibration curve was generated by plotting the peak area of DOX against the DOX concentration in solution. Standard formulas were determined by linear regression as y

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= mx + b where y is the peak area of DOX ( V × sec) and X is the DOX concentration (ng/mL).

4.2.4 Improved tumour uptake and biodistribution in U-118MG tumour

xenograft model

Next, the ability of SCL-DOX to enhance the delivery of therapeutic agents to the

tumour in vivo was investigated using a mice tumour xenograft model. The uptake of

DOX in various organs and the tumour was determined 24 h after a single dose of 5

mg/kg DOX or SCL-DOX by i. v. administration in U-118MG glioblastoma-bearing

nude mice. Consistent with the results from the study in healthy SD rats in the

preceding chapter (Chapter 3), the DOX concentration in organs responsible for

dose-limiting toxicity in clinics, i.e. the heart, in the tumour-bearing mice treated

with SCL-DOX was significantly lower than those treated with free DOX (33.07 ±

1.34 g/g versus 49.07 ± 2.35 g/g) (Figure 4-4 (a)). The DOX concentration in the

other known major DOX toxicity organ, the skin, was also statistically significantly

lower in the SCL-DOX group compared to the free DOX animals (0.97 ± 0.06 versus

1.61 ± 0.11 g/g), as well as in the kidneys (403.94 ± 9.99 versus 472.35 ± 20.08

g/g). On the other hand, the measured concentration of DOX in other organs

indicated that there were significantly higher levels of DOX in the liver, spleen and

lung in the group treated with SCL-DOX when compared to the free DOX group

(1.40-fold, 3.78-fold and 1.71-fold, respectively) (Figures 4-4(b) and 4-4(e)). As for

the xenograft glioma (Figures 4-4(d)), there was a statistically significant elevation

of DOX level in tumour tissue in the SCL-DOX group compared to that of free DOX

(1.33-fold), indicating the enhanced intratumoural DOX delivery by SCL-DOX in

vivo.

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Figure 4-4. BD and tumour uptake of DOX encapsulated in SCL in xenograft-bearing

mice. Nude mice bearing human glioblastoma U-118MG xenografts were treated with a single dose of 5 mg/kg free DOX or SCL-DOX i.v. Mice were euthanised 24 h later. Organs and tissues were harvested, washed, weighed, and the DOX content in tissues, expressed as

g DOX per g tissue, was determined. Data are shown as means S.E. (n=5-6). *, p<0.05 compared to free DOX; **, p<0.01 compared to free DOX; ***, p<0.001 compared to free DOX.

4.2.5 Enhanced therapeutic efficacy of SCL-DOX in U-118MG xenograft

tumour model

Given that the SCL-DOX is able to deliver more therapeutic agents to the

xenograft tumour (Figure 4-4d), the antitumour activity of SCL-DOX in vivo was

proceeded to determine. Mice bearing U-118MG tumours were injected with saline,

blank SCL, DOX in solution or encapsulated within SCL once a week for 6 weeks

when subcutaneous tumours reached a volume of 150 mm3. Figure 4-5 shows tumour

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growth inhibition. There was no significant difference in tumour sizes between mice

treated with saline control and blank SCL during the study period. Importantly, at a

dose of 5 mg/kg, all the DOX formulations were effective in preventing tumour

growth compared to saline and blank liposome control after the 2nd injection. The

final mean tumour load was 97.29 10.71 mm3 in the SCL-DOX treatment group

while in free DOX group it was 154.76 12.53 mm3. Thus, SCL-DOX formulations

displayed stronger tumour growth suppression than free DOX.

Figure 4-5. Improved therapeutic activity of SCL-DOX against glioma xenograft. Mice bearing U-118MG xenografts were injected i.v. with saline, 5 mg/kg of free DOX, SCL-DOX or empty SCL once a week for 6 weeks when tumour volume reached approximately

150 mm3. Data shown are means S.E. (n=5-6). *, p<0.05 compared to saline; **, p<0.01 compared to saline; #, p<0.05 compared to free DOX; ***, p<0.001 compared to free DOX; ##, p<0.05 compared to free DOX; &, p<0.01 compared to blank SCL; &&, p<0.01 compared to blank SCL; &&&, p<0.001 compared to blank SCL.

To further confirm the antitumour efficacy, the survival rates of tumour-bearing

mice were compared following different treatment regimens. As shown in Figure 4-6,

the median survival days for saline, free DOX and SCL-DOX group were 45, 61 and

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93 days, respectively. Therefore, the medium life-span was increased in mice treated

with SCL-DOX by 2.07-fold and 1.52-fold compared to those treated with saline or

free DOX, respectively. Taken together, i. v. administration of SCL-DOX 6 times

over a 6-week period displayed not only a better tumour inhibitory effect but also an

improved survival of U-118MG xenograft-bearing mice.

Figure 4-6. SCL-DOX enhanced survival of tumour-bearing mice. The Kaplan-Meier survival curve shows improvement of life span of U-118MG xenograft-bearing mice treated with SCL-DOX (n= 8-10 per group). Mice were treated as indicated in the legend for Fig. 6 and were sacrificed when tumour burden reached 800 mm3.

4.2.6 Reduced toxicity of SCL-DOX in vivo

Clinically, the efficacy of DOX is limited by dose-limiting toxicities. One

objective of delivery of chemotherapy agents in a nano-formulation is to reduce

systemic toxicities. For this aim, the toxicity of SCL-DOX and free DOX was

evaluated after repeated injection in tumour-bearing nude mice. The tissue

concentration of DOX was measured 24 h after the 6th administration of either SCL-

DOX or free DOX (Figure 4-7). Consistent with the findings in healthy rats, the

concentrations of DOX in the heart and skin were significantly lower, 0.56-fold and

0.08-fold, respectively, in the tumour-bearing mice treated with SCL-DOX than

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those treated with free DOX following repeated administrations. On the contrary,

compared with the free DOX group, 1.28-fold more DOX accumulation was

observed in the tumour in SCL-DOX group, clearly confirming the enhanced

intratumoural DOX delivery by SCL-DOX in vivo. As for plasma biochemistry

analysis carried out 72 days after the last injection (Figure 4-8), DOX treatment

alone induced a significant increase in serum creatine kinase (CK) concentration

(1048.00 ± 100.95 U/L), indicative of heart damage, compared to saline control

(588.50 ± 167.37 U/L), blank SCL (543.40 ± 86.47) and SCL-DOX groups (430.60 ±

82.94 U/L). Furthermore, compared with the free DOX group, the plasma

concentrations of aspartate transaminase (AST), a sensitive indicator of liver damage,

in the SCL-DOX group (p<0.01) and blank SCL group were significantly lower

(p<0.05). Moreover, as a marker of DOX-damaged myocytes, troponin was

measured for the evaluation of DOX-induced cardiomyopathy in vivo (Herman et al.

1999; Singal & Iliskovic 1998). The method used in the present study has a cut-off

threshold of <0.01 g/L for normal subjects (Koh, Nakamura & Takahashi 2004). As

shown in Table 4-2, there was a 1.8-fold higher level of troponin in the mice treated

with free DOX than those with saline control while in both SCL-DOX and blank

SCL group, there were no significant elevation compared to the control. Thus, the

results indicated that the SCL-DOX has the potential to minimise the cardiotoxicity

of free DOX.

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Figure 4-7. Encapsulation of DOX in SCL substantially reduced the accumulation of

DOX in principal sites of DOX toxicity. U-118MG xenograft-bearing mice were treated as indicated in the legend for Figure 4-5. Blood was collected immediately after the mice were

sacrificed upon reaching the end point. Data shown are means S.E. (n=5-6). *, p<0.05 compared to saline; **, p<0.01 compared to saline; ***, p<0.001 compared to free DOX.

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Figure 4-8. Encapsulation of DOX in SCL significantly reduced cardiac and hepatic

toxicity. U-118MG xenograft-bearing mice were treated as indicated in the legend for Figure 4-5. Blood was collected immediately after the mice were sacrificed upon reaching the end point. Serum enzymes indicative of cardiac and hepatic toxicity were analysed. Data shown

are means S.E. (n=3-5). *, p<0.05 compared to saline; #, p<0.05 compared to free DOX; ##, p<0.01 compared to free DOX.

Table 4-2. Plasma levels of troponin.

Treatment Number of nude mice Troponin ( g/L) Saline 4 <0.01 Free DOX 5 0.018 ± 0.003 SCL-DOX Blank SCL

5 5

<0.01 <0.01

Data are presented as means ± S.E. (n = 4-5).

4.3 Discussion

As liposomes are composed of naturally biodegradable substances, they are

metabolised and cleared while in circulation or upon reaching the target sites, making

them safe novel drug delivery carriers (Domb et al. 2007). The current study

provided the first report on antitumour efficacy of tenascin-C-targeted SCL-DOX in

a xenograft model of glioma that expresses high levels of tenascin-C (Reardon,

Zalutsky & Bigner 2007).

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As for in vitro cytotoxicity between different liposomes and cancer cell lines,

published studies have reported contradictory results. For example, in MLLB2 cells

(rat prostate cancer) (Wang, J et al. 2005) and MCF-7/ADR cells (human breast

carcinomas) (Li, B et al. 2012), the IC50 of the liposomal formulation was

significantly lower than that of free DOX, which indicated a higher cytotoxicity of

liposomal DOX in vitro. On the contrary, in HepG2 cells (human hepatoma) (Li, X et

al. 2009) and U-87 cells (human glioblastoma) (Shao, Ke et al. 2006), free DOX

seemed to have higher intracellular uptake with associated higher cytotoxicity than

that of liposomal DOX. Obviously, the kinetic properties are different between

liposomal DOX and free DOX. The half-life of liposomal DOX can be up to several

days while free DOX can be eliminated in a few minutes in vivo (Allen, Theresa M.

et al. 2006; Cabanes et al. 1999; Unezaki et al. 1994). Moreover, the MTT assay used

to derive the IC50 is carried out with monolayers in culture dishes, which are very

different when compared to the 3-dimentional tissue architecture in vivo (Xu &

Anchordoquy 2011). Thus, comparison of IC50 in vitro, which is relevant to the

cytotoxicity under the same exposure time and constant concentration, is not a

reliable predictor of the therapeutic efficacy in vivo (Wu, J et al. 2007). Furthermore,

SCL-DOX had been found to remain in the nuclei for several hours even after

washing (Figure 4-2 (b) and (d)). This is in agreement with another study using the

same DOX delivery system in a different cell line (Shao, Ke et al. 2006). Notably,

despite the higher IC50 value of SCL-DOX in vitro, it had a much better anti-tumour

efficacy over the free DOX in U-118MG tumour-bearing nude mice (Figure 4-5).

As a widely used and efficient antitumour drug, the risk of severe cardiotoxicity is

a well-known barrier of free DOX in clinical therapy (Tokarska-Schlattner et al.

2005). Encapsulation of DOX into the SCL resulted in an approximate 4-fold lower

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DOX concentration in the heart of healthy SD rats (Figure 3-8 in Chapter 3).

Reduced accumulation of DOX derived from SCL in the heart was also found in U-

118MG tumour-bearing nude mice after single injection and repeated injection

(Figures 4-4 and 4-7). Therefore, the significant reduction in accumulation of DOX

in the heart indicated the potential of SCL-DOX in reducing the cardiotoxicity of

DOX. This had been reinforced by the biochemical studies of the serum creatine

kinase activity, which is a toxicological indicator of severe cardiotoxicity (Bagchi et

al. 2003) as well as cardiac troponin, another biomarker for the detection and

prevention of cardiotoxicity at an earlier phase (Mercuro et al. 2007). Previous

studies by others revealed an increase in serum troponin levels from week 10 after

the first administration of DOX in Wistar rats treated with liposomal DOX (Koh,

Nakamura & Takahashi 2004). This present study revealed no discernable increase in

serum troponin levels in mice treated with SCL-DOX even 14 weeks after the onset

of treatment, suggesting a remarkable reduction in cardiotoxicity of DOX delivered

via SCL. Moreover, the study also found a significant reduction in the amounts of

serum AST in mice treated with SCL-DOX (Fig. 9). This is important as DOX is

excreted predominantly through the hepatobiliary route (Cosan et al. 2008) and there

is a good negative correlation between serum AST activity and hepatic activity

(Yokogawa et al. 2006).

Although encapsulation with liposomes has been successful in overcoming

cardiotoxicity and myelosuppression (for free DOX), the toxicity of liposomal DOX

has shifted to cutaneous toxicity (Charrois & Allen 2003). Palmar-plantar

erythrodysesthesia (PPE), also called hand-foot syndrome, is a toxic reaction

associated with high accumulation of cytotoxic chemotherapeutics, including

pegylated liposomal doxorubicin formulation in the skin (Farr, Katherina

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Podlekareva. & Safwat, Akmal. 2011). High liposome localisation in the skin had

been reported previously in both nude mice and human (Goren, D. et al. 1996). In

this study, a significantly reduced concentration of DOX in the skin was observed in

mice treated with SCL-DOX repeatedly when compared to the free DOX group

(Figure 4-7), suggesting that the SCL formulation of DOX could help to reduce the

dose-limiting cutaneous toxicity displayed by other liposomal formulations of DOX.

In contrast, the uptake of DOX in liver and spleen, which are tissues rich in cells

of the reticuloendothelial system (RES), was higher for SCL-DOX when compared

to free DOX (Figure 4-4), in agreement with previous studies (Elbayoumi, TA &

Torchilin, VP 2009; Xiong, Huang, Lu, Zhang, Zhang & Zhang 2005). The increased

accumulation of SCL-DOX in the organs of RES might be related to the particle size

of the SCL (Campbell 2006; Drummond, D. C. et al. 1999b). Therefore, further work

is needed to reduce the uptake of SCL-DOX by RES.

As well as a benefit of reduced toxicity by SCL-DOX formulations, better

treatment efficacy from animals treated with SCL-DOX over free DOX was found in

the tumour-bearing mice (Figures 4-5 and 4-6). Significantly higher concentrations

of DOX in tumour from SCL-DOX treated mice were found both after single

injection (Figure 4-4) and repeated injections (Figure 4-7). Administration of SCL-

DOX had superior tumour inhibitory effects compared to that of free DOX (Figure 4-

5), manifested as both the inhibition of tumour growth and the increased life span

(Figure 4-6). Importantly, tumours grew much slower in the mice receiving SCL-

DOX when compared with those receiving free DOX. As the repeated injection of

liposomal formulation could lead to the change of pharmacokinetics of drugs (Cui et

al. 2008), the difference of tissue concentrations between after single injection and

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after repeated injections might be resulted from the separated pharmacokinetic

property of SCL-DOX.

Nano-carriers can be used to improve the treatment efficacy and reduce the side

effects of drugs they encapsulate. Due to its high surface-to-volume ratio,

functionalising the surface of nanoparticles with ligands such as antibodies, aptamers,

peptides, or small molecules that are tumour-speci c or tumour-associated can

promote the active binding of nanoparticles to tumours (Alexis, F. et al. 2008). The

composition and structure of the extracellular matrix in tumours are different from

that in the normal tissues (Liu, F et al. 2008). Certain extracellular matrix

glycoproteins are highly up-regulated in many different cancers, including gliomas,

breast cancer and ovarian cancer (Fernando et al. 2008; Quemener et al. 2007).

Tenascin-C is a protein expressed at low levels in normal adult tissues but high levels

in many tumours (Mackie & Tucker 1999), including gliomas. Therefore, tenascin-C

has been implicated as an important target for the treatment of cancer (Adams, M et

al. 2002). In a previous study, the key component of SCL, sulfatide, was

demonstrated to mediate the binding and endocytic uptake of SCL in tumour cells via

the interaction with tenascin-C (Alvarez-Cedron, Sayalero & Lanao 1999). It was

evident from the current results that SCL conferred sufficient therapeutic activity, as

well as reduced side effects of its encapsulated drug, in the tenascin-C expressing

tumour model (U-118MG) used here. Thus, modification with other ligands, which

could target the cancer stem cells, on the surface of SCLs will likely aid the

development of novel therapeutic strategies for treating tenascin-C positive tumours.

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4.4 Conclusion

In summary, the tenascin-C targeting SCL displayed increased therapeutic effects

in addition to the reduced toxicity in vivo. These results taken together, therefore,

demonstrate that SCL has the potential to be an effective and safer nano-carrier for

the treatment of tumours with elevated expression of tenascin-C. Further

improvement in therapeutic index can be afforded by the functionalisation of SCL

with other cancer-targeting ligands, such as antibodies or aptamers.

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Chapter 5 - Enhanced antitumour efficacy and

reduced systemic toxicity of sulfatide-

containing nanoliposomal doxorubicin in a

xenograft model of colorectal cancer

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5.1 Introduction

Colorectal cancer is the third most common cause of cancer-related deaths

worldwide (Sala-Vila & Calder 2011; Szepeshazi et al. 2002), with up to 25% of

patients presenting with metastatic disease. Despite surgery and chemotherapy, many

of these patients eventually succumb to metastatic diseases. Adjuvant therapies,

including radiotherapy and chemotherapy, are designed to target residual tumour

cells. In stage III patients with colorectal cancer, chemotherapy remains the main

treatment strategy (Bhattacharya et al. 2009). However, the success of these therapies

is limited by the emergence of therapy-resistant cancer cells as well as dose-limiting

toxicities (Segal & Saltz 2009). Liposomes are well-recognised vehicles for drug

delivery in recent years. They have been indicated to enhance the therapeutic

efficacy of several traditional antitumour drugs (Lasic, D. D. 1998). Ideal designed

liposomes for drug delivery have the ability to passively accumulate in tumour

tissues via the EPR effects in tumours. The passive accumulation can be further

enhanced by actively targeting liposomes modified by coupling ligands on the

vesicle surface (Forssen, Coulter & Proffitt 1992).

The tumour microenvironment has been shown to be one of the key factors

contributing to the development of cancer (Hanahan & Weinberg 2011). Tenascin-C

is a glycoprotein found in the extracellular matrix and it is an important target for

targeted-drug delivery in the treatment of cancer (Hicke, B. J. et al. 2006). The novel

strategy employed in this study is to use a lipid component of the liposome to target

the tumour microenvironment. Due to the targeting property of sulfatide, a

glycosphingolipid known to interact with several extracellular matrix proteins, to

tenascin-C, sulfatide-containing liposomes (SCL) have the potential to be an

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effective and safer nano-carrier for the treatment of tumours with elevated expression

of tenascin-C.

In view of the limited success of chemotherapy in colorectal cancer and high

toxicity of DOX, a SCL encapsulation approach was taken to overcome these

barriers. In Chapter 4, the efficacy of SCL against glioma suggested an enhanced

treatment efficacy of sulfatide-containing liposomal DOX (SCL-DOX) and a

reduction in the accumulation of DOX in the drug’s principal toxicity organs

achieved by SCL-DOX led to a diminished systemic toxicity as evident from the

plasma biochemical analyses. The SCL-DOX had also demonstrated a good stability

in vitro, as well as improved pharmacokinetic behaviour and enhanced BD profiles

(Chapter 3). Now, the study was extended to colorectal cancer.

In this study, a mouse xenograft model of human colorectal adenocarcinoma (HT-

29) that is known to express tenascin-C (De Santis et al. 2006; Mukaratirwa et al.

2005) was utilised to study the biodistribution (BD), antitumour efficacy and toxicity

of sulfatide-containing liposomal carrier system.

The work presented here was performed in collaboration with Yan Yu.

Parts of this Chapter have been published (Lin J, Yu Y, Shigdar S, Fang DZ, Du

JR, Wei MQ, Danks A, Liu K and Duan W. “Enhanced antitumor efficacy and

reduced systemic toxicity of sulfatide-containing nanoliposomal doxorubicin in a

xenograft model of colorectal cancer”. PLoS ONE, 2012, 7(11): e49277.)

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5.2 Results

5.2.1 Intracellular uptake and retention of SCL-DOX in HT-29 cells

Taking advantage of the natural fluorescent property of DOX, the cellular uptake

and retention of free DOX or SCL-DOX was studied using laser scanning confocal

microscopy. HT-29 cells were incubated with 2 g/ml DOX or SCL-DOX for 24 h.

Following washing, the cellular uptake of different formulations of DOX was

examined. As shown in Figure 5-1, both free DOX and SCL-DOX were taken up by

the colorectal adenocarcinoma cells and there was accumulation of DOX in the

nucleus in both groups (Figure 5-1), albeit cells treated with free DOX showed

slightly stronger red fluorescence (DOX) than those treated with SCL-DOX after 24

h incubation. Interestingly, the retention of SCL-DOX in HT-29 cells was better than

that of free DOX. As shown in Figure 5-2, following washing with PBS and

incubation in fresh media for 4 h, the DOX fluorescence in the free DOX group

decreased significantly. Moreover, cells treated with free DOX showed diminished

red fluorescence 24 h after washing. Conversely, the red fluorescence for SCL-DOX

was more stable compared to that of the free DOX group. Even 24 h after washing,

DOX fluorescence could be readily observed in the nuclei of cells treated with SCL-

DOX (Figures 5-2(b) and (c)). The enhanced retention of SCL-DOX in vitro suggests

that the SCL formulation of DOX might exhibit better treatment efficacy in vivo.

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Figure 5-1. Intracellular uptake of SCL-DOX in HT-29 cells. HT-29 cells were incubated

with 2 g/mL free DOX or equivalent SCL-DOX for 24 h. Following two washes with PBS, cells were imaged with a confocal fluorescence microscope. (a) and (c) Cells treated with free DOX. (b) and (d) Cells treated with SCL-DOX. Red: fluorescence from DOX; blue: nuclei stained with Hoechst 33342. Scale bars: 200 m (for (a) and (b)) or 10 m (for (c) and (d)).

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Figure 5-2. Intracellular retention of SCL-DOX in HT-29 cells. HT-29 cells were first

incubated with 2 g/mL free DOX or equivalent SCL-DOX for 24 h. After two washes with PBS to remove the drugs, cells were cultured in fresh full culture medium followed by imaging serially at 1 h, 2 h, 4 h and 24 h using fluorescence confocal microscopy. (a) and (c) Cells treated with free DOX. (b) and (d) Cells treated with SCL-DOX. Red: fluorescence

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from DOX; blue: nuclei stained with Hoechst 33342. Scale bars: 200 m (for (a) and (b)) or 10 m (for (c) and (d)).

5.2.2 In vitro cytotoxicity

To study the in vitro cytotoxicity, HT-29 cells were exposed to various

concentrations of free DOX or SCL-DOX for 48 h, and the cell viability was

measured using the MTT assay which measures the mitochondrial conversion of

MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide) to

formazan as detected by the change of optical density at 570 nm (Li, G et al. 2012).

As shown in Table 5-1, the IC50 of DOX for HT-29 cells was 1.74 ± 0.10 g/mL

while the IC50 of SCL-DOX was 2.77 ± 0.06. Thus, under in vitro conditions where

cells were exposed to a constant concentration of the agents throughout the entire

assay period, free DOX was more toxic than SCL-DOX. Empty SCL did not show

any effects on cell survival (data not shown).

Table 5-1. Mean IC50 values ( g/ml of doxorubicin) for treatment with free DOX and SCL-DOX

Cell line Free dox ( g/ml) SCL-dox ( g/ml) HT-29 1.74 ± 0.10 2.77 ±0.06

Data are shown as means ± S.E. of triplicate in three independent experiments.

5.2.3 Establishing standard curves for tumour uptake

Before the quantitative determination of DOX in tissues, HT-29 tumours spiked

with a serial dilution of DOX concentrations were prepared to obtain the calibration

curve which was used for determination of the concentration of DOX from the

measured fluorescence intensity in chromatograms.. As shown in Figure 5-3, the

correlation coefficient (R2) for the calibration curve was 0.996. Thus, under the

instrumental conditions described in Chapter 2, a good linearity between peak areas

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and concentrations was obtained over the analytical concentration ranges within the

range of 1-100 ng/mL.

Figure 5-3. Standard curve for DOX concentration in HT-28 tumours. A standard curve was constructed by measuring fluorescence in tissues or tumours spiked with a serial dilution of DOX solutions. The calibration curve was generated by plotting the peak area of fluorescence derived from DOX against the DOX concentration in solution. Standard formulas were determined by linear regression as y = mx + b where y is the peak area of DOX ( V × sec) and x is the DOX concentration (ng/mL).

5.2.4 Tissue distribution and tumour uptake Advantages of SCL-DOX

Studies comparing the accumulation of free DOX or SCL-DOX in tumours and

organs were performed in a BALB/c nude mice HT-29 tumour xenograft model.

Animals were injected i.v. with a single dose of free DOX or SCL-DOX (5 mg/kg)

and there was no statistically significant difference in DOX concentration in the

kidneys between the two treatment groups 24 h after administration. The lungs and

liver showed higher DOX accumulation (4.74-fold and 12.94-fold, respectively) with

SCL-DOX treatment (Figure 5-4(a)), and the spleen, a major organ of the

reticuloendothelial system, showed a 17-fold higher DOX accumulation with SCL-

DOX treatment. However, SCL-DOX treatment in the two principal organs that

display dose-limiting toxicities of DOX clinically, namely the skin and heart,

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decreased the DOX accumulation to 59.0% (0.039 0.001 g/g versus 0.066 0.003

g/g) and 77.4% (0.956 0.073 g/g versus 1.235 0.083 g/g) compared to the

free DOX, respectively (Figure 5-4(b) and (c)). Moreover, SCL encapsulation

significantly enhanced DOX accumulation (1.3-fold; 0.060 0.005 g/g versus

0.047 0.003 g/g) in the xenograft tumour compared to free DOX (Figure 5-4(d)),

clearly confirming the enhanced intratumoural DOX delivery by SCL-DOX in vivo.

Figure 5-4. BD and tumour uptake of DOX encapsulated in SCL in xenograft-bearing

mice. Nude mice bearing human colorectal cancer HT-29 xenografts were treated with 5 mg/kg free DOX or SCL-DOX i.v. Mice were euthanised 24 h later. Organs and tissues were harvested, washed, weighed, and the DOX was extracted and quantified. Data are

shown as means S.E. (n=5~6). *, p<0.05 compared to free DOX; **, p<0.01 compared to free DOX.

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5.2.5 Enhanced therapeutic efficacy of SCL-DOX

Having determined the tissue distribution of SCL-DOX, the antitumour activity of

SCL-DOX was evaluated using the BALB/c nude mice HT-29 tumour xenograft

model. Once the tumour had grown to approximately 35 mm3, the animals were

divided randomly into four groups (n=5~10) in order to minimise difference in

weight and tumour size among the groups. The following regimens were

administered i.v. twice a week for 3 weeks: (i) saline; (ii) empty SCL; (iii) free DOX

(5 mg/kg) and (iv) SCL-DOX (5 mg/kg). The body weight of the animals and the

tumour size were then monitored until the size of the tumour in the control animals

reached the end point of the study. As presented in Figure 5-5, for the control groups

of mice receiving saline or empty SCL, the treatment did not show any efficacy, and

the mean tumour sizes at the end of the study were 1129.03 55.06 mm3, and

1188.63 137.54 mm3, respectively (mean S.E.; n=5~6). The SCL-DOX treatment

group demonstrated superior efficacy, with a final mean tumour load of 586.52

29.63 mm3, compared to 809.13 43.75 mm3 in the free DOX group. Thus,

compared to saline or free DOX treatment, the efficacy of SCL-DOX to suppress

tumour growth at the dose of 5 mg/kg was significantly improved by ~1.9-fold and

~1.4-fold, respectively.

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Figure 5-5. SCL-DOX produced more reduction in tumour volume. Mice bearing HT-29 xenografts were injected i.v. with saline, 5 mg/kg of free DOX, SCL-DOX or empty SCL twice a week for 3 weeks as indicated, starting on the day when tumour volume reached ~35

mm3. Data shown are means S.E. (n=5~6). *, p<0.05 compared to saline; **, p<0.01 compared to saline; #, p<0.05 compared to free DOX; &&, p<0.01 compared to blank SCL; &&&, p<0.001 compared to blank SCL.

Next, the survival rates of tumour-bearing mice following the four different

treatment regimens were compared. As shown in Figure 5-6, median survival times

for the four different groups were 26 days (saline), 33 days (free DOX), 36 days

(SCL-DOX) and 32 days (blank SCL), respectively. Thus, SCL-DOX treatment

increased medium life-span by 38.5% compared to the saline control group, by 12.5%

compared to the blank SCL group and by 9.1% compared to the free DOX group.

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Figure 5-6. SCL-DOX enhanced survival. The Kaplan-Meier survival curve shows improvement of life span of xenograft-bearing mice treated with SCL-DOX (n=9~10 per group). Mice were treated as indicated in Figure 5-3 and were sacrificed throughout the study period upon reaching the study end point.

5.2.6 Reduced systemic toxicity of SCL-DOX

DOX-induced cardiomyopathy is one of the key dose-limiting toxicities of the

drug (Rahman et al. 1986b). Cardiac troponin is released from DOX-damaged

myocytes (Wei, G et al. 2008), therefore, measurement of serum levels of this protein

provides a sensitive assessment of early cardiotoxicity of DOX. The method used in

the present study has a cut-off threshold of <0.01 g/L for normal subjects

(Sugiyama & Sadzuka 2011). As shown in Table 5-2, the free DOX treatment

resulted in a 75-fold higher troponin serum level compared to the controls,

confirming the known cardiotoxicity of the free drug. However, no elevation of

serum troponin was observed for the SCL-DOX treatment group, which remained

below cut-off levels, as with the control groups, indicating that treating xenograft-

bearing mice with 6 doses of SCL-DOX over the period of 4 weeks had minimal

cardiotoxicity.

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Table 5-2. Plasma levels of troponin Treatment Number of nude mice Troponin (ug/L) Saline 4 <0.01Free DOX 3 0.750±0.234 SCL-DOX Blank SCL

53

<0.01<0.01

Data are presented as means ± S.E. (n = 3-5).

To investigate whether encapsulation of DOX into SCL had any impact on the

severity of bone marrow suppression (myelosuppression), the most common adverse

effect of DOX chemotherapy (Singal & Iliskovic 1998), the changes in peripheral

white blood cells count were studied. As shown in Figure 5-7, there was no

statistically significant difference in the total number of white blood cells between

the saline treated or SCL-DOX-treated groups. Furthermore, compared with mice

treated with free DOX, those treated with SCL-DOX had a 2.0-fold and a 3.3-fold

higher count for lymphocytes and monocytes, respectively.

Figure 5-7. SCL-DOX treatment had significantly reduced myelosuppression. HT-29 xenograft-bearing mice were treated as indicated in Figure 5-3. Blood was collected immediately after the mice were sacrificed upon reaching the end point. Data shown are

means S.E. (n=3~5). *, p<0.05 compared to saline; ***, p<0.001 compared to saline; #, p<0.05 compared to free DOX; ##, p<0.01 compared to free DOX.

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5.3 Discussion

This study is the first to evaluate the tissue distribution, in vivo anticancer

activities and toxicity profile of SCL-DOX in a xenograft mouse model of human

colorectal adenocarcinoma. The current study have shown several important points:

(a) SCL-DOX was readily taken up by colon cancer cells and displayed prolonged

retention; (b) encapsulation of DOX in SCL resulted in a decreased distribution of

the drug to the principal sites of acute and chronic toxicity of free DOX, namely the

heart and the skin, as well as markedly lowered cardiotoxicity and myelosuppression;

(c) sulfatide-containing liposomal drug displayed an enhanced therapeutic efficacy in

a mouse model of human colorectal adenocarcinoma.

The intracellular uptake of SCL in glioma cells was shown to be a result of

endocytic uptake of the liposomes in previous work (Shao, K. et al. 2007). In this

study, the results confirmed the intracellular uptake of SCL-DOX by human

colorectal adenocarcinoma cells, HT-29, using confocal microscopy. Importantly, it

has been demonstrated that the encapsulated chemotherapy drug was delivered

intracellularly to the site of action, the nuclei, of the HT-29 cells (Figures 5-1 and 5-

2). Furthermore, the delivered liposomal drug was retained by the tumour cells even

24 h after washing. The in vitro cytotoxicity study compared the viability of

colorectal cancer cells treated with SCL-DOX and free DOX using the MTT assay

and showed that both forms possess overt cytotoxicity. Interestingly, the SCL-DOX

had an IC50 59% higher than that of free DOX (Table 5-1). This is consistent with

observations from others that the IC50 of the free and liposomal drug, when assayed

in vitro, varies dependent on the cell lines used and the nature of the liposomes. For

example, Wang et al. found in the rat prostate cancer cell line MLLB2, the IC50 of

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the liposomal formulation was significantly lower than free DOX (Wang, J et al.

2005). In a study of resistant MCF-7/ADR cells (human breast adenocarcinoma), the

liposomal DOX showed a 30-fold lower IC50 compared to free DOX (Li, B et al.

2012). However, in other studies free DOX seemed to have higher intracellular

uptake and displays higher cytotoxicity than that of liposomal DOX. For example, in

the hepatocellular carcinoma cell line, HepG2, free DOX had been indicated to

possess a higher cytotoxicity compared to that of DOX-loaded stealth liposomes (Li,

X et al. 2009). Furthermore, polyethylene glycol (PEG) coated-liposomal DOX had

been shown to have less toxicity than free DOX in the glioma cell line, U-87 cells

(Shao, Ke et al. 2006). It is important to appreciate that the in vivo pharmacokinetics

are very different between liposomal DOX and free DOX. The half-life of liposomal

DOX can be several days while free DOX can be eliminated in a few minutes in vivo

(Allen, Theresa M. et al. 2006; Cabanes et al. 1999; Unezaki et al. 1994). In cell

culture dishes, cells are exposed to a constant drug concentration throughout the

entire assay period, and often take up free DOX more rapidly than liposomal

formulation (Accardo et al. 2012). Furthermore, cells for MTT assays are mostly

cultured in monolayers, which have a spatial organisation drastically different from

the in vivo 3-dimensional tissue architecture (Xu & Anchordoquy 2011). Thus,

comparison of IC50 between a free drug and a nanoparticle-formulation of the drug in

vitro provides a measurement of the cytotoxicity under a constant concentration

during a chosen assay period, and therefore it may not be able to provide a reliable

prediction of the therapeutic efficacy in vivo (Wu, J et al. 2007). In the present study,

although the IC50 of SCL-DOX was higher than that of free DOX in HT-29 cells in

vitro, the SCL formulation was shown to display a much improved tumour inhibitory

effect over the free DOX in HT-29 tumour-bearing nude mice (Figures 5-4 and 5-5).

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Gastrointestinal tumours are known to be relatively resistant to chemotherapeutics.

In 80% of untreated colon tumours, there is an elevated level of the multidrug-

resistant I (MDR I) gene (Oudard et al. 1991). Notably, significantly higher

concentrations of DOX in tumours from SCL-DOX treated mice were found after

single administration (p<0.05). Moreover, it is interesting to note that SCL

encapsulation not only resulted in a significant increase in tumour uptake in vivo, but

also enhanced anti-tumour efficacy of DOX in HT-29 tumour-bearing nude after

repeated administration. As the statistically significant difference in tumour growth

between free DOX and SCL-DOX groups appeared after the 5th administration

(Figure 5-4), the therapeutic efficacy may be attributed to the preferential

accumulation of SCL-DOX in the tumour via the enhanced permeability and

retention effect (EPR effect) over a period of multiple administrations. Moreover,

after intracellular delivery, the SCL-DOX was retained in the tumour cells much

better than free DOX (Figure 5-2). Thus, the increased DOX concentration in

tumours treated with SCL-DOX was consistent with a better treatment efficacy in

vivo.

In most cases, cancer chemotherapy is limited by the low therapeutic index of the

anticancer drugs due to serious toxicity to normal tissues. Indeed, the therapy-

limiting toxicity of DOX is cardiomyopathy, which may lead to congestive heart

failure and death (Singal & Iliskovic 1998). Encapsulation of free DOX using a

cyanoacrylate nanoparticle shifted toxicity from the heart to the kidney (Manil,

Couvreur & Mahieu 1995), while the PEGylated liposomal DOX (Doxil)

accumulates in skin, resulting in a shift in the toxicity profile from cardiotoxicity and

myelosuppression to cutaneous toxicity, known as palmar-plantar erythrodysesthesia

(Charrois & Allen 2003). The current study aimed to develop a nanoliposome that

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improves the biodistribution characteristics and changes the toxicologic properties of

the encapsulated drug. In current preclinical toxicology experiments, the intended

clinical administration route, i.e. intravenous (i. v.) injection, was utilised throughout

the studies with the HT-29 tumour-bearing mice models. The data (Figure 5-4)

demonstrated that the accumulation of liposomal DOX in the skin and heart were

significantly lower than that of free DOX. Since tissue levels of DOX were reduced

by SCL delivery, the decreased concentration of DOX at these sites was likely to

result in a reduced risk of the development of side effects. Indeed, the biochemical

and haematological analyses (Figure 5-7 and Table 5-3) demonstrated that the

improved therapeutic efficacy of SCL-DOX was obtained without an increase in

toxicity to the heart or to the bone marrow. It is noteworthy that the troponin level

was significantly lower in the SCL-DOX group than that of the free DOX group. As

for indicators of myelosuppression, the higher level of total white cell numbers,

lymphocytes and monocytes in the SCL-DOX group indicated that formulations of

SCL decreased the toxic myelosuppression associated with free drug. The increased

accumulation of SCL-DOX in the liver, spleen and lung compared to free DOX

might be related to the particle size of SCL, as nanoparticles with sizes of 100-200

nm preferentially accumulate in organs of the reticuloendothelial system (Alexis,

Frank , Pridgen, Eric , et al. 2008; Campbell 2006; Drummond, D. C. et al. 1999b) .

By encapsulating drugs in nanoparticles, nanomedicine reduces drug concentration

in normal host tissues and increases the concentration of active drug within the

tumour. To further improve the selectivity and specificity, it is desirable to actively

target the nanodrugs to the site of the tumour. Targeting nanodrugs using antibodies

that recognise the tumour-associated antigens is a widely adopted approach.

However, its application might be limited by altered expression or low percentages

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of tumour cells that express any given antigen. Therefore, the development of

alternative targeted drug delivery systems may have important implications for future

novel anticancer therapeutics. It had been previously demonstrated that sulfatide

mediates the binding and endocytic uptake of SCL in tumour cells via the interaction

with tenascin-C (Shao, K. et al. 2007). The extracellular matrix is a major constituent

of the tumour microenvironment that is very different from that of their normal

counterparts. Tenascin-C is a large extracellular matrix hexabrachion glycoprotein

and is absent or greatly reduced in most normal adult tissues. Tenascin-C is highly

expressed in the majority of malignant solid tumours, including gliomas, and cancer

of the breast, uterus, ovaries, prostate, colon, stomach, pancreas, lung, liver, skin and

kidney (Brellier & Chiquet-Ehrismann 2012). Furthermore, high tenascin-C

expression correlates with a low survival prognosis in cancers such as glioma, breast,

colon and lung carcinoma. In addition to its roles in promoting tumour cell

proliferation and angiogenesis, tenascin-C had recently been shown to provide breast

cancer cells with a key metastatic niche to colonise the lungs by promoting tumour

cell dissemination and survival during the early steps of metastasis and enhancing the

fitness of the disseminated cancer cells at the site of colonisation (Oskarsson et al.

2011). Thus, the production of tenascin-C enhances the ability of micrometastatic

colonies to survive and expand. Given that up to 20% of new cases of colorectal

cancer present with metastatic disease, and of the patients who present with localised

disease, about 20% will subsequently relapse with distant metastases (Segal & Saltz

2009), targeting tenascin-C would constitute a promising strategy in the effort to

combat micrometastasis. Sulfatide had been shown to bind to several extracellular

matrix proteins, including tenascin-C (Miura et al. 1999; Pesheva et al. 1997). In this

study, the in vivo utilities of the SCL in enhanced efficacy in colorectal cancer

xenografts known to express tenascin-C as well as reduced concentration and toxicity

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in tissues that are susceptible to the main side effects of the encapsulated drug, i.e.

the heart, the bone marrow and the skin were further demonstrated. Future research

in combining active targeting ligands, such as antibodies and aptamers, which target

cancer stem cell surface makers with natural lipid-guided intracellular delivery, may

open a new direction for the development of more effective anticancer

nanotherapeutics.

5.4 Conclusion

In conclusion, the current study had demonstrated that SCL-DOX showed an

improved toxicity profile and enhanced efficacy in a human colorectal cancer

xenograft model. It may therefore provide a potent and safe nanomedicine platform

for treatment of colorectal cancer that has overexpression of sulfatide-binding

proteins, especially tenascin-C. Functionalising SCL with antibodies or aptamers

may further enhance the clinical utilities of this natural lipid-guided liposomal

formulation of anticancer drugs for both primary tumour and micrometastasis via

effective targeting the tumour microenvironment.

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Chapter 6 - Exploration of the potential of

using sulfatide-containing liposomes for drug

delivery into the brain

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6.1 Introduction

Gliomas are the most frequently diagnosed primary brain malignancy in the

central nervous system (CNS) (Liu, Y, Zhou & Zhu 2012). Although plenty of

efforts have been done in diagnostic procedures, surgical techniques, radiation

therapy and chemotherapy, the majority of patients succumb to the disease within 1

year after diagnosis (Aoki et al. 2004). One of the reasons for high mortality of

gliomas is that the tumours have the ability to invade diffusely into surrounding

healthy brain tissue, thereby precluding successful surgical removal (Skog et al.

2008). Thus, chemotherapeutics play a critical role in the treatment of brain tumours.

However, the major challenge for chemotherapeutics in the management of CNS

tumours is the limited penetration of many drugs through the blood–brain barrier

(BBB) (Ambruosi et al. 2006). The endothelial cells of the blood vessels in the brain

form cerebral capillaries which are characterised by tight continuous circumferential

junctions, restricting the penetration of most polar solutes across the cerebral

endothelium (Begley 1996; Marin-Padilla 2012).

Traditional anticancer agents suffer from various limitations ranging from poor

treatment efficacy to serious side effects (Allen, T. M. 1994b). Breakdown of the

BBB is present in several CNS disorders, including brain tumours (Gerstner & Fine

2007; Nagaraja et al. 2011). However, the BBB could remain intact, especially in the

early stage of tumour growth and at the tumour invasion edge of the brain tissue

(Bulnes et al. 2012; Huynh, Deen & Szoka 2006). Thus, most current anticancer

chemotherapeutics have poor BBB penetration, which prevent them from targeting

tumours in brain. Therefore, it is critical to develop new approaches which are safe

and effective against brain tumours. Nowadays, nanomaterials such as liposomes or

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polymer nanoparticles, offer several therapeutic strategies for treatments of brain

tumours (Auffinger et al. 2012; Zhou et al. 2012).

Liposomal drugs are promising candidates for local delivery within the

CNS. Increasing evidence has indicated the advantages of nanoliposome technology

in the treatments of gliomas (Gong et al. 2011; Saito et al. 2004). Since they can be

combined with a variety of drugs that are not able to cross the BBB, as a new form of

targeted tissue specific delivery, drug encapsulated nanoliposomes can greatly

improve drug distribution and therefore, its therapeutic effect in brain tumours was

enhanced (Mamot, C. et al. 2004). For example, in in vivo studies, liposomes showed

high accumulation in gliomas (Shibata, Ochi & Mori 1990; Siegal, Horowitz &

Gabizon 1995), indicating the potential of liposomal formulations of anticancer

agents to overcome the BBB. However, it had been identified that liposomes do not

undergo significant transport through the BBB in the absence of ligand-mediated

drug delivery (Misra et al. 2003). In addition, various studies investigating liposome

penetration into the BBB were carried out in in vitro models (Lohmann, Huwel &

Galla 2002; Visser et al. 2005) or in healthy animals which is not a reliable predictor

of the therapeutic efficacy in the tumour-bearing model (Soni, Kohli & Jain 2005;

Xie et al. 2005).

The sulfatide-containing liposomal doxorubicin (SCL-DOX) used in the current

study had shown reduced toxicity, extended longevity, and enhanced tumour specific

targeting property in U-118MG and HT-29 subcutaneous xenograft models (Chapter

4 and Chapter 5). The question arises as to whether the SCL-DOX can penetrate the

BBB to deliver systemically administered therapeutic agents intracranially. Therefore,

in the present study, DOX encapsulated in SCL was evaluated for its capacity of

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delivering chemotherapeutic agents into the brain. The extent of brain delivery was

first studied in healthy rats to examine the potential of SCL-DOX to cross the BBB.

Furthermore, tumour uptake, as well as tissue distribution, in intracranial C6 brain

tumour xenograft rats was studied after a single i.v. administration of SCL-DOX.

The work presented here was performed in collaboration with Yan Yu, Tao Wang

and Dongxi Xiang.

6.2 Results

6.2.1 Enhanced brain distribution of SCL-DOX in healthy SD rats

This study initially evaluated the accumulation of SCL-DOX after i. v. injection in

healthy SD rats with an intact BBB. Therefore, a single dose of 5 mg/kg free DOX or

SCL-DOX were injected via the tail vein and the brain cortexes of healthy SD rats

were collected at 4 predetermined time points following injection. As shown in

Figure 6-1, free DOX showed limited ability to cross the BBB. Conversely, SCL-

DOX led to a significantly elevated DOX accumulation in the brain compared to rats

treated with free DOX at all time points (p<0.001).

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Figure 6-1. Improved brain distribution in healthy rats. Healthy rats were injected with a single dose of 5 mg/kg free DOX or SCL-DOX i. v. Rats were euthanised at 0.5 h, 2 h, 4 h and 24 h after injection. Brain cortex was harvested, washed, weighed, and the DOX was

extracted and quantified. Data are shown as means S.E. for g DOX per g of tissue (n=5-6). ***p<0.001 compared to free DOX.

6.2.2. Enhanced brain distribution of SCL-DOX in perfused healthy SD rats

As brain tissue collected from unperfused animal might contain up to 2% blood, it

is desirable to study the drug delivery in perfused animal to minimise the possibility

of overestimation of the extent of drug delivery due to the contamination of the blood.

To verify the results obtained in Section 6.2.1, rats were perfused with saline 24 h

after injection and the brain cortex was collected followed by measurement using

HPLC. As shown in Figure 6-2, although there was a 3.61-fold decreased (3.57 g/g-

tissue vs. 12.89 g/g-tissue) SCL-DOX accumulation compared to that in the rats

without perfusion (Figure 6-1), the distribution of DOX in the cortex was

significantly increased by i. v. administered SCL-DOX when compared to free DOX

after perfusion.

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Figure 6-2. Improved brain distribution in perfused healthy rats. Healthy rats were injected with a single dose of 5 mg/kg free DOX or SCL-DOX i. v. Rats were perfused with saline 24 h later followed by euthanasia. Brain cortex was harvested, washed, weighed, and

the DOX was extracted and quantified. Data are shown as means S.E. for g DOX per g of tissue (n=5-6). ***p<0.001 compared to free DOX.

6.2.3 Establishment of intracranial brain tumour xenograft models

Having established that SCL-DOX could penetrate the BBB in healthy rats and

mice, the study proceeded to investigate whether the SCL system could penetrate the

BBB to deliver DOX to brain tumours. Taking the volume of the implantation into

account, 1×106 C6 glioma cells in 10 L volume were implanted into the

intracerebral region of healthy Wistar rats using a Harvard Apparatus Pump 11 Elite

Syringe Pumps and stereotaxic device (Figure 6-3 (a)). On day 18 after implantation,

rats were sacrificed. Tissues and tumours were collected and DOX distribution was

measured via HPLC. As shown in Figure 6-3 (b) and (c), C6 glioma cells formed a

tumour in the right hemisphere section, suggesting the successful establishment of

intracranial brain tumour xenograft models in Wistar rats.

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Figure 6-3. Establishment of intracranial brain tumour xenograft models. C6 Glioma cells were implanted into the intracerebral region of rats using syringe pump and stereotaxic device. Rats were euthanised 18 days after implantation. (a) The instrumental set-up used for the implantation of C6 glioma cells in the brain of rats. (b) The exterior view of a representative brain from a tumour-bearing rat. (c) The vertical view of a dissected right hemisphere with the implanted C6 glioma. Arrows: the location of the implanted brain tumour.

6.2.4 Establishing standard curves for tissue distribution in Wistar rats

Before the quantitative determination of DOX in tissues and tumours, tissues and

tumours spiked with a serial dilution of DOX solutions were prepared to obtain a

calibration curve which was used for assessing the DOX concentration

corresponding to different peaks in the chromatograms. Peak areas were plotted

against DOX concentrations to obtain the analytical curve followed by linear

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regression analysis. The linearity of the calibration curves for distribution of DOX in

different tissues as well as in xenograft C6 gliomas were evaluated over the range of

50-5,000 ng/mL. As shown in Figure 6-3, the correlation coefficients (R2) for

calibration curves were better than 0.990, suggesting a good linear regression within

the analytical concentration ranges.

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Figure 6-4. Standard curves for tissue distribution in Wistar rats. The standard curve was constructed by measurements of tissues spiked with a serial dilution of DOX solutions. The calibration curve was generated by plotting the peak area of fluorescence derived from DOX against the DOX concentration in solution. Standard formulas were determined by

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linear regression as y = mx + b where y is the peak area of DOX ( V × sec) and x is the DOX concentration (ng/mL).

6.2.5 Tissue distribution and tumour accumulation of SCL-DOX in an

intracranial brain tumour xenograft model

The ability of SCL to improve the delivery of DOX into the intracranial tumour was

evaluated using a rat glioma xenograft model. The tissue distribution and tumour

uptake was determined 24 h after a single dose of 5 mg/kg DOX or SCL-DOX i. v.

administration in C6 glioma-bearing Wistar rats. Consistent with the results from the

study in healthy SD rats in Chapter 3, there was a significantly reduced accumulation

in organs responsible for dose-limiting toxicity in patients, i.e. the heart, in the

tumour-bearing rats treated with SCL-DOX compared to those injected with free

DOX (0.41 ± 0.05 g/g versus 0.64 ± 0.02 g/g) (Figure 4-4 (a)). In the kidney, one

of the other known major DOX toxicity organs (Burke et al. 1977; Giri et al. 2004),

DOX concentration was also statistically significantly lower in the SCL-DOX group

compared to that of the free DOX animals (0.96 ± 0.13 versus 3.98 ± 0.36 g/g). On

the other hand, in organs which are at least partly responsible for clearance of

liposomes from the circulation, such as the liver and spleen, the measured

concentration of DOX indicated that there were significantly higher levels of DOX in

the group treated with SCL-DOX when compared to the free DOX group (89.17-fold

and 3.05-fold, respectively) (Figures 6-5(d)). Notably, there was a statistically

significant elevation of DOX level in the brain and tumour tissue in the SCL-DOX

group compared to that of free DOX (p<0.01 and p<0.05, respectively) (Figures 6-

4(b) and 6-4(c)).

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Figure 6-5. Tissue distribution of DOX encapsulated in SCL in C6 glioma tumour-

bearing rats. Tumour-bearing rats were injected with a single dose of 5 mg/kg free DOX or SCL-DOX i. v. Rats were euthanised 24 h later. Tumours and organs were harvested,

washed, weighed, and the DOX was extracted and quantified. Data are shown as means S.E. for g DOX per g of tissue (n=3-4). *p<0.05 compared to free DOX. **p<0.01 compared to free DOX. ***p<0.001 compared to free DOX.

6.3 Discussion

Malignant gliomas are heterogeneous, diffuse and highly infiltrating by nature

(Linz 2010). Despite wide surgical resection and improvements in radiotherapy and

chemotherapy, the prognosis of patients with gliomas remains extremely poor, with

the majority of patients having a survival rate of less than 10% at five years (Stupp et

al. 2009). As the most vital organ in the body, the brain is isolated and protected

from the intrusion of potentially toxic substances in the blood stream (Pathan et al.

2009). The critical brain supporting system restricts and ensures selective access of

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nutrients and other essential chemicals across the BBB (Kabanov & Batrakova 2004).

However, the efficacy of anticancer therapeutic agents in targeting brain tumours has

been limited due to poor penetration of the BBB (Chen, Y, Dalwadi & Benson 2004).

The BBB is thus considered a major obstacle for chemotherapeutic drugs to

efficiently reach tumours in the brain (Koukourakis et al. 2000). Various strategies

had been developed to overcome the BBB, including its temporary disruption by

hyperosmotic solutions (Hall et al. 2006) or vasoactive agents such as bradykinin

(Matsukado, Sugita & Black 1998). However, disruption of the BBB has the

potential to result in non-localised drug delivery, as well as an elevated cellular

uptake of plasma albumin and other protein components in the blood which were

toxic to the brain (Vykhodtseva, McDannold & Hynynen 2008). Therefore, new

alternative approaches, such as nanocarriers which include liposomes, had been

being developed for drug transportation across the BBB for drug delivery (Huwyler,

Wu & Pardridge 1996).

In the new drug delivery strategy, the carried drug selectively accumulated in

tissues with increased vasculature permeability, such as tumour tissue in the brain,

(Golub et al. 1994). In vivo studies had shown that liposomes were indeed highly

accumulated in the brain (Yuan et al. 2010) or in the experimental gliomas (Shibata,

Ochi & Mori 1990; Siegal, Horowitz & Gabizon 1995), suggesting that liposomal

drugs might overcome the BBB effectively. Therefore, we used SCL as nanocarriers

for DOX and evaluated its potential in tumour targeting in intracranial brain tumour

xenograft rats in the current study. Consistent with the previous studies regarding

other liposomal formulations of DOX (Saito et al. 2004; Tiwari & Amiji 2006), SCL

encapsulation has the potential to overcome the limitations of free therapeutic drug

molecules in crossing the BBB (Figure 6-1 and Figure 6-2).

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Previous studies had indicated that the C6 rat glioma model simulates the growth

and invasion of human glioblastoma and could be used as a suitable animal model

(Grobben, De Deyn & Slegers 2002). For example, Inoue at al. (Inoue et al. 1987)

studied the therapeutic effects of hyperosmotic BBB disruption using this in situ

glioma model in SD rats, while Kaye et al. (Kaye, Morstyn & Ashcroft 1985) had

studied glioma growth in the C6 tumour-bearing Wistar rats. Thus, unlike

subcutaneous tumour models, the intracranial brain tumour xenograft model

performed in the present study mimics the natural behaviour of brain tumours.

Although both Wistar and SD rats were utilised for the study of C6 tumours, the

C6/Wistar model is more similar to the human Glioblastoma multiforme (GBM)

characteristics, such as a high mitotic rate, cells forming palisades, and

neovascularisation (Miura et al. 2008). As a result, Wistar rats were used as the C6

tumour xenograft model in our study.

The comparison of brain distribution in healthy SD rats treated with different

DOX formulations revealed a significantly increased accumulation of SCL-DOX

compared to the free DOX group (Figure 6-1). As a widely used and efficient

antitumour drug, DOX delivery to the brain is often restricted because of the poor

penetration of this therapeutic molecule through the BBB (Rousselle et al. 2001).

The statistically significant increase of DOX in the brain of perfused healthy SD rats

injected with SCL-DOX showed that encapsulating DOX by SCL had the potential

to cross the BBB. Moreover, compared with the free group, SCL encapsulation

resulted in an elevated DOX accumulation in the cortex of perfused healthy SD rats

(Figure 6-2), indicating a high accumulation of SCL-DOX in brain cells. As a result,

the present nanodrug system might be capable of increasing therapeutic efficacy of

drugs that are unable to penetrate in the BBB in the treatment of brain diseases.

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In the intracranial C6 glioma model, the BBB would have been, at least partly,

disrupted by surgery and tumour growth. Nonetheless, there was a significant

improvement of tumour uptake in tumour-bearing rats (Figure 6-5(c)). DOX

encapsulation within SCL resulted in 1.67-fold higher uptake by glioma compared to

free DOX in the current study. Encapsulation of DOX into SCL resulted in a

significantly higher DOX accumulation in the brain of rats receiving liposomal

formulation than those in previous studies (Arnold et al. 2005; Yang, FY et al. 2012).

Moreover, the tumour uptake in the present study was also higher than that in the

previous study which demonstrated an enhanced therapeutic effect in vivo (1.79

g/g-tissue in this study vs. 0.16 g/g-tissue reported by others) (Arnold et al. 2005).

Therefore, the SCL-DOX in the present study indicated its potential to be a better

nanodrug delivery system for brain tumours or other brain diseases. However, due to

time constraint, the experiments with C6 glioma model using perfused animals were

unable to be repeated. Further studies in perfused glioma-bearing rats should be

performed to confirm the observations presented in this Chapter.

The increased accumulation of free DOX in the brain of tumour-bearing rats

compared with the brain uptake in healthy rats was most likely due to the disruption

of BBB in the brain tumour model (Chekhonin et al. 2007; Wang, P et al. 2010). The

glioma tumours are characterised by the invasive property, therefore, the capillary

endothelium could be destroyed by tumour cells when the tumour expand beyond 2.0

mm3 (Erwin 2009). As a result, the penetration of free DOX into the brain could

increase, leading to the increased uptake by tumour cells as well as the brain in

general. Future studies, such as the histopathological analysis (Mohamed, Karam &

Amer 2011) or studies about apoptosis pathways (Tangpong et al. 2011), need to be

performed to confirm the toxicity of DOX to normal brain cells. In addition, the use

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of SCL for the treatment of C6 glioma was also advantageous in view of other tissues.

The biodistribution (BD) data in this C6 glioma model demonstrated that

accumulation of liposomal DOX in the heart and kidney were significantly lower

than those of free DOX (Figure 6-5(a) and (d)). Therefore, the decreased

concentration of DOX is likely to result in a reduced systemic toxicity in tumour-

baring rats as the reduced tissue levels of DOX afforded by SCL delivery.

6.4 Conclusion

In summary, the present proof-of-principle study had demonstrated that SCL-DOX

was able to penetrate into the BBB and accumulate in the C6 glioma in vivo.

Moreover, the improved tissue distribution was confirmed in the glioma-bearing rats.

Therefore, such nanodrug delivery systems may represent a new strategy for the

development of effective anticancer chemotherapeutics targeting the brain tumour.

Further investigations are planned to study the efficacy in inhibition of glioma

growth, the survival benefit, as well as systemic toxicity.

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Chapter 7 - Development of EpCAM aptamer

functionalised PEGylated sulfatide-containing

liposomal doxorubicin

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7.1 Introduction

Many DNA intercalators have been shown to have antitumour and antibiotic

activity (Lee, CJ et al. 2004). Doxorubicin (DOX), which is well documented to

function via blocking the progression of topoisomerase II and thus preventing DNA

replication and cell division, is widely used in the treatment of many malignant

diseases due to its broad antitumour activity (Kaplan et al. 2010). Cardiotoxicity is a

major limiting factor in anticancer therapy of DOX (Yeh et al. 2004). Cardiotoxicity

induced by DOX may present as either acute or chronic cardiomyopathy. While

chronic cardiotoxicity is dose dependent, due to the limitation of the cumulative dose

of DOX to <450 mg/m2, acute cardiotoxicity, occurring within 2 to 3 days of its high

dose administration, is now rare (Zhang, YW et al. 2009). Other preventive strategies

include modifying DOX with targeting molecular agents (Bagalkot et al. 2006) or

establishing new drug delivery systems (Nagykalnai 2010), which have the potential

to improve its distribution in vivo.

Aptamers, rapidly generated through the Systematic Evolution of Ligands by

EXponential enrichment (SELEX), are single-stranded RNA or DNA

oligonucleotides (Yang, X, Li & Gorenstein 2011). The interactions of aptamers with

their target molecules mainly rely on hydrogen bonding, electrostatic, and

hydrophobic interactions rather than Watson–Crick base pairing (Hermann & Patel

2000). Aptamers possess several advantages when compared to antibodies. These

include increased stability, smaller size, high target affinity and specificity,

reproducibility via inexpensive and consistent chemical synthesis, easy modification

for both labelling and selective changes in sequence, and the possibility against toxic

or poorly immunogenic targets (Pendergrast et al. 2005; Wang, P, Hatcher, et al.

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2011; Wang, P, Yang, et al. 2011b). Therefore, nucleic-acid aptamers have become

increasingly important molecular tools with wide applications in modern medicine,

including diagnostics and anticancer therapeutics (Rerole et al. 2011).

Due to their advantages over other ligands used in drug delivery, aptamers had

been utilised for the targeted delivery of DOX (Zhang, H 2004) or nanocarriers (Herr

et al. 2006). A study by Zhang successfully conjugated DOX to an aptamer and

showed that this aptamer-DOX conjugate was capable of specifically targeting

prostate cancer cells via the prostate-specific membrane antigen (PSMA) and

delivering DOX inside the cell (Zhang, H 2004). As well, a Sgc8-PEG-liposome for

targeting CCRF-CEM (T-cell Acute Lymphoblastic Leukemia) was reported by

Kang et al (Kang et al. 2010b).

Our lab recently developed a RNA aptamer against a cancer stem cell marker,

epithelial cell adhesion molecule (EpCAM), and this aptamer efficiently internalises

upon binding to target cells (Shigdar et al. 2011). EpCAM was firstly described in

1979 as a 40 KDa cell surface cancer-associated antigen, which is a type I single

span transmembrane glycoprotein with extracellular epidermal growth factor-like

(EGF-like) and thyroglobulin (TY) motifs as well as an intracellular domain

containing an internalization motif and several -actinin binding sites (Balzaret, M al.

1999). Previous studies had shown that the expression of EpCAM in various cancers

is inversely related to the prognosis of the patients (Baeuerle & Gires 2007). Thus,

aptamers against EpCAM may have the ability to target cancer cells, especially those

with high expression of EpCAM. Therefore, preliminary in vitro studies were carried

out to explore the potential of aptamers in enhancing cellular uptake of sulfatide-

containing nanoliposomal DOX (SCL-DOX) in cells overexpressing EpCAM.

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7.2 Results

7.2.1 Establishing a standard curve for DOX concentration in aptamer

functionalised PEG-sulfatide-containing nanoliposomal DOX (ap-PEG-SCL-

DOX)

To evaluate DOX concentration in aptamer functionalised PEG-sulfatide-

containing nanoliposome (ap-PEG-SCL) via HPLC, standard curves were

constructed by plotting peak area of fluorescence derived from DOX vs. DOX

concentrations. To mimic samples to be determined, ap-PEG-SCL-DOX without

unconjugated aptamer purification using size-exclusion chromatography were used

as standards and diluted to series of DOX concentrations from 50 ng/mL to 800

ng/mL, followed by HPLC measurement. A linear regression analysis was used for

quantitation. As shown in Figure 7-1, a good linearity between peak areas and

concentrations was obtained within the tested concentrations with a correlation

coefficient of R2=0.9984.

Figure 7-1. Standard curve for determination of DOX concentration in ap-PEG-SCL-

DOX. The standard formulas were determined by linear regression as y = mx + b, where y is the peak area of DOX and x is the DOX concentration.

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7.2.2 C

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177

7.2.3 Cellular uptake of ap-PEG-SCL-DOX

To evaluate the binding specificity of the ap-PEG-SCL-DOX, two different

aptamers were utilised, including the FITC-labelled EpCAM targeting aptamer and

the FITC-labelled negative control aptamer which is an aptamer of the same

sequence but with a different side-chain modification which could affect the 3-

dimensional structure of aptamer (Chushak & Stone 2009). Therefore, the negative

control aptamer does not bind to EpCAM and does not specifically target the cancer

cells with high expression of EpCAM. The accumulation of free DOX, PEG-SCL-

DOX, ap-PEG-SCL-DOX and negative ap-PEG-SCL-DOX in the EpCAM-negative

cell line (HEK-293T) and the EpCAM-positive cell line (HT-29) were studied using

laser scanning confocal microscopy utilising the natural fluorescent property of DOX

and the FITC label on the aptamer.

After 24 h incubation with 2 g/mL DOX, PEG-SCL-DOX, ap-PEG-SCL-DOX or

negative ap-PEG-SCL-DOX followed by washing with PBS, cellular uptake of free

DOX or liposomal formulations by HEK-293T cells and HT-29 cells were examined.

As shown in Figure 7-3(a), there was no significant difference between HEK-293T

cells treated with ap-PEG-SCL-DOX and those with negative ap-PEG-SCL-DOX.

The overlay of Hoechst staining (nucleus) and red fluorescence (DOX) in HT-29

cells indicated that ap-PEG-SCL-DOX was not adhered to the cell surface but

actually penetrated into the nucleus (Figure 7-3(b)). Notably, confocal microscopy of

HT-29 cells exposed to ap-PEG-SCL-DOX demonstrated increased DOX

fluorescence (red) compared to other groups after 24 h incubation. Moreover, the

strong green fluorescence (from FITC that was used to label the aptamer) in HT-29

cells treated with ap-SCL-DOX indicated the accumulation of EpCAM aptamer in

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178

the cells. The overlay of nucleus staining and FITC fluorescence in the cells

suggested that the EpCAM RNA aptamer functionalised PEG-SCL-DOX is

efficiently internalised after the binding to EpCAM on cell surface. As a control,

fluorescence of ap-PEG-SCL-DOX was determined in the EpCAM-negative cell line

HEK-293T. Results indicated that there was cellular uptake of ap-PEG-SCL-DOX in

EpCAM-negative cell line (Figure 7-3(a)). Moreover, negative ap-PEG-SCL-DOX

was also taken up by both two cell lines (Figure 7-3), which might have resulted

from non-specific binding following the long incubation.

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Figure

293T ce

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180

7.2.4 Cellular retention of aptamer functionalised PEG-SCL-DOX

For the study of cellular retention of ap-PEG-SCL-DOX, cells were first incubated

with different formulations of DOX for 24 h at the dose of 2 g/mL. Cells were then

washed with PBS twice and cultured in fresh culture medium. The same wells of

cells were imaged serially at 1 h, 2 h, 4 h and 24 h after washing using fluorescence

confocal microscopy. The DOX fluorescence in both cell lines treated with liposomal

formulations decreased slower when compared to cells treated with free DOX,

suggesting better retention of our liposomal formulation in vitro. In contrast, the

DOX fluorescence in free DOX and negative ap-PEG-SCL-DOX group decreased

rapidly after washing with PBS (Figure 7-4). There was a significant reduction of

DOX fluorescence in free DOX group only 2 h after washing with PBS (Figure 7-5).

Interestingly, compared to the EpCAM-positive HT-29 cells, the DOX fluorescence

(red), as well as aptamer fluorescence (green), diminished significantly in the HEK-

293T cells which are EpCAM-negative. HEK-293T cells treated with ap-SCL-DOX

or negative ap-PEG-SCL-DOX both showed significant decreased red fluorescence

and green fluorescence 4 h after washing (Figure 7-6(a)). Conversely, the DOX

fluorescence and aptamer fluorescence for ap-PEG-SCL-DOX was more stable in

HT-29 cells compared to those treated with other DOX formulations and those in

HEK-293T cells. Even 24 h after washing, DOX fluorescence and FITC fluorescence

(aptamer) could be readily observed in the HT-29 cells treated with ap-PEG-SCL-

DOX (Figure 7-7 (b)).

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Figure

cells an

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181

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aged at 1 h w

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ionalised SC

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cence from Dfrom aptame

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T

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Figure

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182

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: e

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Figure

cells an

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7.3 Discussion

Aptamers are highly selective nucleic acids which have been developed for

numerous therapeutic applications (Yang, X et al. 2011). In the current study, we

developed a novel specialised aptamer-liposome bioconjugate for targeted delivery

of anticancer agents into EpCAM expressing cancer cells. SCL with 5% PEG used in

our study possesses a negative surface charge (Table 3-1, Chapter 3), which was a

desirable characteristic as positively charged nanoparticles might lead to nonspecific

interaction with the negatively charged aptamers and diminish the binding property

(Farokhzad et al. 2004a). The negative charge on the SCL could repel the similarly

charged EpCAM aptamers and thus minimise the charge interaction between

aptamers and SCL surface. As a result, the conjugation in the current study was

obtained via the chemical reaction between the hydrophilic carboxylic acid

functional group (-COOH) on the PEG used for SCL and the free amine group (-NH2)

modified on the aptamers (Figure 7-2). In the presence of sulfo-N-

hydroxysuccinimide (sulfo-NHS) and 1- [3-dimethylaminopropyl]-3-

ethylcarbodiimide hydrochloride (EDC), the carboxylic acid group on the SCL

surface would easily convert to the NHS ester and link with the NH2-modified

aptamers (Estevez et al. 2010a; Healy et al. 2004).

RNA aptamers used in the current study were previously selected against the

extracellular region of EpCAM (Shigdar et al. 2011). By conjugating the PEG-SCL

and the EpCAM aptamer, aptamer-liposome bioconjugates were generated for

assessment in this study. The elevated particle size and increased absolute value of

zeta potential in ap-PEG-SCL-DOX and negative ap-PEG-SCL-DOX compared to

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SCL (Table 3-1, Chapter 3) might be attributed to the insertion of the aptamer

(Wilner et al. 2012).

Because of previously established EpCAM aptamer binding speci city, EpCAM

targeting aptamers and negative control aptamers which did not target the EpCAM,

as well as two cell lines, were used to analyse the cellular uptake in vitro. The human

colorectal adenocarcinoma cell line HT-29 was known to express EpCAM, which is

a 40-kDa transmembrane glycoprotein frequently expressed in solid tumours

(Herrmann et al. 2010; Winkler et al. 2009). Conversely, HEK-293T, human

embryonic kidney cells, was reported to be the EpCAM-negative (Shigdar et al.

2011). Comparison of cellular uptake between these two cell lines would evaluate the

specific interaction between EpCAM targeting aptamer functionalised PEG-SCL-

DOX and EpCAM-positive cells.

The un-functionalised SCL-DOX displayed an enhanced accumulation of DOX in

HT-29 cells compared to free DOX (Chapter 5). Through current cellular uptake

studies, confocal microscopy also revealed differences among uptakes of different

DOX formulations. The data demonstrated that the binding of ap-PEG-SCL-DOX

bioconjugates to HT-29 cells, which are EpCAM-positive, was significantly

enhanced when compared with the negative ap-PEG-SCL-DOX complex and the

SCL-DOX formulation (Figure 7-3 (b)). The overlay of nucleus staining, DOX and

FITC fluorescence from the aptamer indicated intracellular delivery of our aptamer

functionalised SCL-DOX to the site of DOX action, the nucleus. In contrast, the

results in HEK-293T cells, which do not express EpCAM, showed no significant

difference in cellular uptake between the conjugates and the control groups (Figure

7-3 (a)). Moreover, the non-specific binding and internalisation of negative ap-PEG-

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SCL-DOX in both HEK-293T and HT-29 cells might have resulted from the long

time incubation (24 h incubation). As shown in previous study, the binding of this

EpCAM targeting aptamer and cells was observed 0.5 h after incubation (Shigdar et

al. 2011). To confirm if this was a transient increase observed in the EpCAM

negative cell line, studies were then proceeded to evaluate the retention of the ap-

PEG-SCL-DOX to both EpCAM-positive and EpCAM-negative cell lines. The

retention experiment showed that this non-specific binding was transient. The

fluorescence of aptamer (green), as well as the DOX (red), diminished very fast in

HEK-293T cells (Figure 7-4 (a), Figure 7-5 (a), Figure 7-6 (a) and Figure 7-7 (a)).

The rapid clearance of fluorescence in HEK-293T cells suggested the interaction of

the ap-PEG-SCL-DOX and EpCAM-negative cells might be non-specific. As a result,

although there was non-specific uptake in the EpCAM negative cell line, both the

drug and aptamer fluorescence diminished rapidly, indicating the drug solutions had

also been removed from the cells rapidly. Moreover, in the monolayer model, cells

cultured in the monolayer are exposed to a constant drug concentration throughout

the entire assay period (Accardo et al. 2012), which is not a reliable predictor of the

therapeutic efficacy in vivo where the cells wouldn’t be subjected to a constant

concentration for so long. Therefore, the fluorescence in the cells in the uptake study

is not truly representative of what would be seen in in vivo studies.

On the other hand, there were significantly different retention patterns observed in

the EpCAM-positive cell line compared to that in the EpCAM-negative cell line

during the period of observation (24 h). As expected, unlike in the HEK-293T cells

(EpCAM-negative), in the EpCAM-positive cells, HT-29, the red fluorescence for

DOX and the green fluorescence for aptamer were more stable compared to cells

treated with other DOX formulation. Even 24 h after washing, DOX fluorescence

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and aptamer fluorescence could be readily observed in the nuclei of cells in HT-29

cells treated with ap-PEG-SCL-DOX compared to those in other groups (Figure 7-7

(b)). Thus, the prolonged retention of ap-PEG-SCL-DOX in the nuclei for several

hours even after washing suggested the potential of a better anti-tumour efficacy of

our bioconjugates.

7.4 Conclusion

In this preliminary study, an EpCAM aptamer functionalised SCL delivery system

for DOX had been developed. The enhanced cellular uptake and prolonged retention

of the aptamer-SCL-DOX conjugates studies suggested the potential for efficient

targeted delivery of anticancer chemotherapeutics to cells overexpressing EpCAM.

The non-specific binding of the EpCAM aptamer functionalised SCL delivery

system was transient and was diminished from the EpCAM negative cells within a

short period of time, indicating that the EpCAM aptamer functionalised SCL

delivery drug was specifically retained by EpCAM positive cells. More studies, such

as a semiquantitative cellular uptake study (flow cytometry assay), quantitative

cellular uptake study (HPLC assay) and in vitro toxicity study (MTT assay) should

be utilised to confirm the improved drug delivery property of the EpCAM aptamer

functionalised SCL delivery system in the EpCAM positive cell lines. Moreover, as

EpCAM is a cell surface marker of cancer stem cells (CSCs), our EpCAM aptamer

functionalised SCL delivery system has the potential to be an effective nano-carrier

for the specific targeting of CSCs. Further studies, including the tissue distribution

and treatment efficacy of these vehicles in vivo, are needed to evaluate the specificity

to target the CSCs.

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Chapter 8 - Summary and perspectives

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8.1 Summary

Cancer is still the leading cause of death in worldwide despite advances having

been made in reducing morality and improving survival (Klein, C. A. 2009). Current

cancer treatments mainly include surgical intervention, radiation and

chemotherapeutic drugs (Miller et al. 2012). However, most deaths from cancer

result from distant metastatic disease, and surgery is not generally able to

treat metastatic cancer (Ruiterkamp & Ernst 2011). Thus, effective management of

metastases has moved to the centre of clinical attention and chemotherapy has been

widely used for the treatment of metastases (Wolf et al. 2012). Nevertheless, in the

anticancer area, one of the biggest challenges that still remain is the low therapeutic

index of the majority of anticancer agents (Wang, Y, Newell & Irudayaraj 2012). As

traditional anticancer chemotherapeutics often kill healthy cells as well as tumour

cells and cause toxicity to the patient, it would therefore be desirable to develop

chemotherapeutics that could either passively or actively target cancerous cells

effectively (Urbinati, Marsaud & Renoir 2012). Present applications of

nanotechnologies for the treatment of cancers represent a new direction for future

cancer therapeutics and liposomes play a critical role in the formulation of potent

drugs to improve the therapeutic index (Samad, A., Sultana, Y. & Aqil, M. 2007).

The utility of liposomes as a nanodrug delivery system has been demonstrated by its

ability to efficiently deliver cytotoxic agents to tumour tissue while minimizing the

undesired negative side effects associated with these drugs (Cukierman & Khan

2010). Moreover, new formulations of liposomes are targeted to the reduced toxicity

and increase accumulation at the target site via passive or active targeting

modification (Elbayoumi, T. A. & Torchilin, V. P. 2008; Gabizon, AA 2001a).

However, significant challenges remain.

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As a glycosphingolipid which can bind to several extracellular matrix proteins,

sulfatide has the potential to become an effective targeting agent for tumours

overexpressing tenascin-C in their microenvironment. To overcome the dose-limiting

toxicity of the anticancer agent DOX, a SCL encapsulation approach was employed

to improve treatment efficacy and reduce side effects of free DOX. This study

analysed in vitro characteristics of SCL-DOX and assessed its cytotoxicity in vitro,

as well as pharmacokinetics (PK), biodistribution (BD), therapeutic efficacy and

systemic toxicity in vivo. Due to the overexpression of tenascin-C on cell surface, a

human glioblastoma U-118MG xenograft model and a human colon carcinoma HT-

29 cell line were chosen as models in the study for the targeting property of SCL.

Firstly, the characteristics of SCL-DOX in vitro and in healthy rats were analysed

(Chapter 3). The SCL-DOX was shown to achieve the highest drug to lipid ratio of

0.5:1 among all such systems reported so far, a high encapsulation of DOX with an

ideal average size less than 100 nm and a remarkable in vitro stability. The in vitro

uptake and retention studies suggested that DOX encapsulated in SCL was delivered

into the nuclei and displayed prolonged retention over free DOX in both U-118MG

cells and HT-29 cells in vitro. Although there were no advantages of cytotoxicity in

culture dishes in vitro compared to free DOX, this simple two-lipid SCL-DOX

nanodrug has favourable pharmacokinetic attributes in terms of prolonged circulation

time, reduced volume of distribution, slow clearance rate and enhanced

bioavailability in healthy rats. The improved tissue distribution in SD rats revealed in

the present study, indicated that SCL-DOX significantly reduced the DOX

accumulation in the heart and kidney compared to free DOX, suggesting the potential

of decreased toxicity to these organs of the SCL-DOX in vivo.

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The prolonged cellular retention in vitro, as well as the improved pharmacokinetic

and tissue distribution profiles in vivo, suggested the potential of enhanced treatment

efficacy and reduced systemic toxicity of SCL-DOX. Therefore, the in vivo BD and

antitumour treatments efficacy of SCL-DOX was evaluated in the nude mice bearing

U-118MG glioblastoma or HT-29 colorectal cancer (Chapter 4 and Chapter 5). As

expected, in addition to the improved PK and BD profiles in healthy SD rats, an

enhanced treatment efficacy of SCL-DOX was found in tumour-bearing mice

compared to the free drug. The use of this nanodrug delivery system to deliver DOX

for treatment of tumour-bearing mice produced a much improved therapeutic

efficacy in terms of suppression of tumour growth and extended survival in contrast

to the free drug. Furthermore, a reduction in the accumulation of DOX in the drug’s

principal toxicity organs, the heart and the skin, in U-118MG and HT-29 xenograft

mice models was observed. Also, SCL-DOX led to the diminished systemic toxicity

as evident from the plasma biochemical analyses. Moreover, reduced

myelosuppression was observed in HT-29 tumour-bearing mice treated with SCL-

DOX. Thus, SCL has the potential to be an effective and safer nano-carrier for

targeted delivery of therapeutic agents to tumours with elevated expression of

tenascin-C in their microenvironment. Such natural lipid-guided nanodrug delivery

systems may represent a new strategy for the development of effective anticancer

chemotherapeutics targeting the tumour microenvironment for both primary tumours

and micrometastases.

The ability of a drug to penetrate the blood-brain barrier (BBB) is crucial for its

utility in the pharmaceutical treatment of the central nervous system (CNS) diseases,

including gliomas (Lohmann, Huwel & Galla 2002). In the BD study of healthy SD

rats, a significantly improved DOX accumulation induced by SCL encapsulation was

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observed in normal brain and in the perfused brain, indicating the SCL-DOX was

able to penetrate the BBB and remain in the brain cells (Chapter 6). To evaluate the

ability of SCL-DOX to cross the BBB and the treatment efficacy of DOX

encapsulated by the SCL in gliomas, an intracranial brain tumour xenograft model in

Wistar rats was established. SCL-DOX was administrated via i. v. injection and

DOX concentration in tumour and brain were analysed. As shown in Chapter 6, the

significantly improved tumour uptake and brain accumulation, as well as improved

tissue distribution, indicated that SCL-DOX could effectively increase the

penetration of DOX across the BBB and reduce its systemic toxicity. Therefore, SCL

has the potential to be utilised as an anticancer agent nanocarrier for the delivery of

drugs across to the BBB.

The SCL-DOX has been identified as a liposome formulation which could target

the tumour with high expression of tenascin-C effectively (Chapter 3 and Chapter 4).

However, previous studies have indicated that conjugating targeting molecules, such

as antibodies, ligands, peptides, or aptamers, to the surface of liposomes could lead

to an improved targeting liposome formulation (Herrmann et al. 2010). As a result,

the aptamer functionalised PEG-SCL-DOX (ap-PEG-SCL-DOX) was developed to

further improve the targeting property of SCL-DOX (Chapter 7). The treatment of

HT-29 tumour, which has been reported to have a high expression of epithelial cell

adhesion molecule (EpCAM), was showed to be effectively improved by SCL-DOX

in the tumour xenograft mice. However, DOX has been reported to not be able to

eradicate cancer stem cells (CSCs) which are related to the recurrence of tumours

(Zheng, X et al. 2010). Thus, PEG-SCL-DOX modified with aptamer targeting

EpCAM, one of the cell surface markers for CSCs, has the potential to target CSCs.

In the Chapter 7, the aptamer-facilitated cellular uptake and retention of DOX

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encapsulated PEG-SCL showed the accumulation, as well as retention time, of DOX

had been enhanced via the highly specific RNA aptamer modified PEG-SCL in HT-

29 cells. Therefore, the strategy of delivering DOX via the EpCAM targeted aptamer

functionalised PEG-SCL might be suitable for systemic targeted therapy of EpCAM-

positive cancers, or even CSCs.

8.2 Perspectives

As shown in Chapter 6, it is likely that SCL could improve the delivery efficiency

of DOX into the brain. However, due to time constraints, the assays for evaluation of

SCL for brain delivery mainly focused on preliminary studies of tissue distribution

and tumour uptake in vivo. More studies need to be designed and carried out to study

the therapy efficacy and safety of SCL-DOX in the treatment of gliomas. Thus, the

next step following current studies would investigate the outcome of tumour

inhibition, survival and systemic toxicity of SCL-DOX in intracranial brain tumour

xenograft rats with treatment of free DOX as a control. Moreover, histopathological

analysis of tissue and tumour sections would be useful to investigate DOX toxicity to

the normal brain cells as well as DOX accumulation in the xenograft glioblastoma in

vivo. Furthermore, the study about tissue distributions in perfused glioma-bearing

rats would be utilised to confirm the enhanced tumour uptake of SCL-DOX in vivo.

Another essential future research direction is to study the targeting property of

aptamer functionalised PEG-SCL to CSCs. The concept of CSCs is that only a

minority of cells within a tumour is able to generate a new tumour (Lin et al. 2011).

Most of current antitumour therapies can only treat rapidly dividing tumour cells

effectively (Bitarte et al. 2011). However, tumour proliferation may be driven by

CSCs which divide slowly and are relatively resistant to cytotoxic drugs (Koch,

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Krause & Baumann 2010). Thus, many tumours may progress because CSCs are not

sensitive to the treatment. Therefore, targeting CSCs for the prevention of tumour

progression and treatment could become a novel strategy for better treatment.

EpCAM, a glycosylated, 30- to 40-kDa type I membrane protein, which is expressed

in a variety of human epithelial tissues, cancers, and progenitor and stem cells, is a

cell surface marker for CSCs in numerous types of cancers, including hepatocellular

carcinoma and colon carcinomas (Munz, Baeuerle & Gires 2009). Recently, our lab

developed a RNA aptamer targeting EpCAM overexpressed on the cancer cells

(Shigdar et al. 2011). Current results of the study indicated the effective binding and

internalisation of EpCAM targeting aptamer functionalised PEG-SCL-DOX in the

EpCAM-positive cell line. However, confocal microscopy is more a qualitative study.

To further confirm the specific targeting properties of CSCs of our ap-PEG-SCL-

DOX, more specific studies need to be designed. For example, a semiquantitative

cellular uptake study (flow cytometry assay), quantitative cellular uptake study

(HPLC assay) and in vitro toxicity study (MTT assay) should be utilised to confirm

the improved drug delivery property of the EpCAM aptamer functionalised SCL

delivery system in the EpCAM-positive cell lines and compared with that in the

EpCAM-negative cell lines. Furthermore, the newly developed CD133 aptamers in

our laboratory could be utilised as another targeting agent against glioblastoma stem

cells.

As the in vitro monolayers in culture dishes are very different when compared to

the 3-dimentional tissue architecture in vivo (Chen, SF et al. 2012; Xu &

Anchordoquy 2011), the 3-dimentional tumoursphere (gliosphere and colonosphere)

should be utilised for the evaluation of cellular uptake, penetration and retention of

ap-PEG-SCL-DOX in vitro, which would be a more reliable predictor of the

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therapeutic efficacy in vivo. Moreover, the side-population or the aldehyde

dehydrogenase activity assay of cell fraction can be assessed by flow cytometry,

which are assays utilised to identify CSCs after treatment in vitro (Peeters et al.

2006). The ap-PEG-SCL-DOX is expected to reduce the percentage of CSCs when

compared to other DOX formulation as it targets CSCs as well as the normal bulk

cancer cells. In vitro tumoursphere formation assays can be utilised to evaluate the

ability of cells treated with ap-PEG-SCL-DOX to grow as flowing spheres in

nonadherent conditions in serum-free environment, which reflects the capacity of

CSC to self-renew in vitro (Azzi et al. 2011). In order to verify the reduction of

CSCs resulted from the ap-PEG-SCL-DOX treatment, in vivo limiting dilution assays

(LDA) and xenotransplantation shall be employed in the future, which is the gold

standard to demonstrate the reduction of CSC after treatment (O'Brien, CA, Kreso, A

& Jamieson, CH 2010; Zhang, M, Atkinson & Rosen 2010).

In conclusion, an effective and safe nanocarrier, SCL, using two human

compatible and degradable lipids for the anticancer agent DOX was characterised in

this project. Due to the SCL encapsulation, DOX is better delivered into the target

cells with a prolonged retention. Furthermore, the favourable pharmacokinetic

properties and improved tissue distributions induced by SCL encapsulation translated

into enhanced antitumour activity, which result in significant growth inhibition,

prolonged life-span and reduced systemic toxicity compared to free DOX. Moreover,

results from preliminary data suggest that SCL have a great potential to overcome the

BBB. Aptamer-directed PEG-SCL was then developed by conjugating the EpCAM

targeting aptamer to the surface of PEG-SCL loaded with DOX. The aptamer

functionalised DOX-encapsulated PEG-SCL showed improved uptake and retention

in EpCAM-positive tumour cells in vitro. With the successful development and

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characterisation of a novel and safe nanocarrier for DOX, future studies will

investigate the potential of SCL in improving the therapeutic index of the traditional

anticancer drugs, in overcoming the BBB and in targeting CSCs.

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