Synthetic Biomarkers for Cancer Detection and Diagnosis

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Ester J. Kwon University of California San Diego Synthetic Biomarkers for Cancer Detection and Diagnosis

Transcript of Synthetic Biomarkers for Cancer Detection and Diagnosis

Page 1: Synthetic Biomarkers for Cancer Detection and Diagnosis

Ester J. Kwon

University of California San Diego

Synthetic Biomarkers for Cancer Detection and Diagnosis

Page 2: Synthetic Biomarkers for Cancer Detection and Diagnosis

Diagnostics TherapeuticsEnzymes

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Cancer is a heterogeneous disease

Marusyk et al., Nat Rev Cancer 2012

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Cancer evolves over time and interventions

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Cancer drugs are becoming more specific

Cancer immunotherapy

Chen & Mellman, Immunity 2013

Antibody-drug conjugatesSmall molecule therapies

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Cancer drugs are becoming more specific

Cancer immunotherapy

Chen & Mellman, Immunity 2013

Antibody-drug conjugatesSmall molecule therapies

Theranostics

How do we decide which patient gets

what treatment and at what time?

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Metabolites1

Peptides2

Proteins3

Cell-free nucleic

acids4

Exosomes5

Circulating

tumor cells6

1 Sreekumar et al. Nature (2009), 2 Findeisen et al. Proteomics Clin Appl (2012), 3 Surinova et al. J Proteome Res (2011), 4 Schwarzenback et al. Nat Rev Cancer (2011), 5 Moon et al. Mass Spectrum Rev (2011), 6 Nagrath et al. Nature (2007).

Cancer biomarker paradigm

small

big

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Hori and Gambhir. Sci. Transl. Med. (2011)

Endogenous

biomarker

Tumor cells

Healthy cells

Potential limitations of

sensing endogenous

biomarkers:• Need to identify biomarkers shed

by tumors.

• Endogenous biomarkers may not

exist in measureable quantities in

liquid biopsies

• Background secretion by healthy

cells leads to high signal-to-noise

• Variable life time in biological

samples (tissue, blood, urine)

• Difficult to measure biomarkers in

complex biological fluids

Detecting what nature gave us

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Case study: Ovarian cancer

Howlader N et al. SEER Cancer Statistics Review, 1975-2009, NCI.American Cancer Society

0102030405060708090

100

Fiv

e-y

ear

Surv

ival R

ate

(%

)

6%

15%

19%60%

Unstaged Local

Regional Distant

• Difficult to detect in early stages• CA125 and HE4• Transvaginal ultrasound

• High 70% relapse rate • Little improvement in survival rate in the past 30 years

Survival Detection

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What if we could control the generation of biomarkers?

Biomarker generation

Cancer-associated

signal

Engineered sensor

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Proteases are enzymes that are central to cancer progression

Growth Survival Angiogenesis Invasion Inflammation

Nature Reviews Cancer

Therefore proteases are good targets for

cancer theranostics:

Can we diagnose using proteases?

Can we drug proteases?

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An antibody specific to an active-protease as an imaging probe

Fc region

drives cell

internalization

Binding epitopes

recognize only

active kallikrein

Can attach cargoActive kallikrein-

specific antibody

Human kallikrein-

related peptidase 2

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Thorek et al. STM, 2016

An antibody specific to an active-protease as an imaging probe

Active kallikrein-

specific antibody

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An antibody specific to an active-protease as an imaging probe

+Enzalutamide

Pre

-tre

atm

ent

Post

-cas

trat

ion

Trea

tmen

t+ 6 wks

+ 4 wks

Thorek et al. STM, 2016

Active kallikrein-

specific antibody

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ON

Protease activity-guided surgery

Whitley et al. STM, 2016.

OFF

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Probodies create a protease cleavage and target binding AND gate

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Probodies create a protease cleavage and target binding AND gate

Desnoyers et al., STM 2013.

InactiveProbodyProbody

An

tib

od

y+C

ance

r

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Probodies create a protease cleavage and target binding AND gate

Neu

tro

ph

il co

un

t (x

10

3/u

L)

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Kwong et al. Nature Biotechnology; Kwon et al., Nature Biomedical Engineering.

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An activity based nanosensorfor sensitive cancer detection

Urinary reporter

Targeting ligand

Protease sensitive linker

Iron oxide core

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Targeting allows detection of <5 mm diameter tumors

Non-targeted Targeted

Kwon EJ et al. Nature BME 2017.

~4 mm diameter

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Nanosensor detects low burden in a model of ovarian cancer

Kwon EJ et al. Nature BME 2017.

35 mm3

tumor burden

~4 mm diameter

88 mm3

tumor volume

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Ligand matching can predict tumor receptor expression

Kwon EJ et al. Nature BME 2017.

av

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Proteases in the disease management of cancer

Dudani et al., Annual Rev Cancer Biol, 2018. Al-Awadhi et al., Mar Drugs, 2017. Carter, Nat Rev Cancer, 2001.

Antibody-based

drugs

Protease

inhibitors

Diagnostics Therapeutics

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Outlook

Diagnostics Therapeutics

CancerTraumatic brain injury

Liver fibrosisAtherosclerosis

Infectious diseases