India’s Best Selling Cancer Genomics Test · Cancer Genomics Test # 1 Precision treatment for...
Transcript of India’s Best Selling Cancer Genomics Test · Cancer Genomics Test # 1 Precision treatment for...
PositiveSelect is India’s widely used Cancer Genomics test with every 8 out of 10 patients opting for PositiveSelect
PositiveSelect is available as 4 different tests offering solutions for every type of cancer patient
Genomics is finally affordable to every patient
India’s Best Selling Cancer Genomics Test
# 1
Precision treatment for every Cancer Patient
Patient Guide
Bioscience our job is to provide you, our customer, with the very best and highest quality test. The goal of PositiveSelect is to help you get on the best treatment.
Positive Bioscience was established with the goal of providing the best possible technology India’s Leading Cancer Genomics Testing
Company.
Positive Bioscience thanks you for considering our testing and we look forward to serving you.
Dear Valued Customer,
Yours Sincerely,
Dr. Sandhya IyerSenior Scienti�c O�cer
Key bene�ts of PositiveSelect
Aids routine molecular diagnostics
PositiveSelect aids routine molecular diagnostics in Lung, Colorectal cancer (CRC), Melanoma, Gastric and Ovarian Cancer
It covers >80% of routine molecular diagnostics in Breast, Head and Neck, Prostate and Pancreatic cancer
1Improve Treatment Outcome by upto 300%
PositiveSelect checks millions of data points and hundreds of treatment options to select the best one
Treatment recommendations are tailored to the patient’s genetic profile
2
Cut Treatment Costs
PositiveSelect removes the trial and error approach
Getting on the best treatment quickly saves money
3
PositiveSelect helps to avoid dangerous and toxic side effects
Treatments selected based on genetic profiling minimize side effects
4
Most Comprehensive Test
PositiveSelect tests for hundreds of genes on Next Generation Sequencing (NGS)
Every gene is tested 1000 times to ensure accuracy
Tests for all types of genomic alterations, mutations, insertions, deletions, translocations, fusions, rearrangements and amplifications
5All Cancer types Covered
PositiveSelect can test every cancer type and stage
If tumor is not available we test on blood (Ct-DNA)
6
Reduce Side Effects
Tests performed
Universal Molecular Diagnostics
Sample Requirement (FFPE/Blood)
Patient profile
Genes
Industry leading coverage
Indels/ Base Substitutions/ Amplifications/ Rearrangements/ Fusions
Sensitivity
Specificity
Pharmacogenomics
Off Label Drugs
True Somatic Mutations
True Germline Mutations
Pathway Analysis
Tumour Mutation Load
MSI (Microsatellite instability)
Driver Mutations
Expert Commentary
Expert Consultation
Features and
Number of tests performed
Aids conventional molecular diagnostics
Convenience and accuracy in molecular profiling
Ideal patients for the test
Number of Genes tested
Improves accuracy
Drug response and prognosis
Test with > 90% sensitivity is considered gold standard
Test with > 90% specificity is considered gold standard
Drug response and prognosis
Treatment options outside guidelines
True actionable driver mutations
Hereditary association
Accurate treatment decisions
Useful for Immunotherapy
Useful for Immunotherapy
Helps in determining precise treatment options
Helps treating clinican understand genetic perspective
Consultation with genetic expert to precise treatment
Features Benefits
PositiveSelect Lite
PositiveSelect Plus
PositiveSelect Match
PositiveSelect Ultimate
Benefits of Product
100 100 + 100 350 350 + 350
>90% >90%>90% >90%
>90% >90%>90%
31% more accurate 31% more accurate
>90%
Introductory test for newly diagnosed patients
Intermediate test for first line failures
Advanced test for advanced cancers
Most advanced test for advanced cancers
1000x 1000x 1000x + 1000x 1000x + 1000x
As cancer is a life-threatening disease Positive Bioscience recommends PositiveSelect Ultimate for every patient for best chances of survival
Tumour Sample Only Tumour Sample Only Tumour Sample + Normal Sample Tumour Sample + Normal Sample
Newly Diagnosed 1st Line failure/ Rare Cancers
1st Line failure/Family history of cancer/relapse
Aggressive/rare cancer/patients with no treatment options as per guidelines
Genomic profiling in CancerCancer is a genetic disease caused by changes in DNA
These changes trigger an abnormal cell growth which forms tumour that invade healthy organs and tissue
Many genes can cause cancer
Two people having same cancer affecting the same body part are most likely different at genetic level and will respond differently
BRCA1, BRCA2, STK11, TP53, PTEN, CDH1, PALB2, ATM, CHEK2, NBN, BARD1, BRP1, RAD51C Breast
STK11, APC, BMPR1A, SMAD4, APC, BMPR1A, SMAD4, MUTYH, TP53, PTEN, CDH1, CHEK2 Colorectal
MLH1, MSH2, MSH6, PM52, EPCAM, STK11, TP53, PTEN Endometrial
MLH1, MSH2, MSH6, PM52, EPCAM, STK11, APC, BMPR1A, SMAD4, TP53, CDH1 Gastric
BRCA1, BRCA2, CDKN2A, CDK4, TP53 Melanoma
MLH1, MSH2, MSH6, PMS2, EPCAM, STK11, TP53, BRP1, RAD51C, RAD51D Ovarian
APC, BMPR1A, SMAD4, CDKN2A, CDK4, TP53, PALB2, ATM Pancreatic
BRCA1, BRCA2, TP53, CHEK2, NBN Prostate
CANCER CAUSING GENES CANCER
Cancer patients areoften treated by the
one-size-fits-all regimen
Many cancer patients fail in their first line therapy
>Most cancer patients dont respond to standard treatment
50 %*
HER2
ALK
EGFR
Lung Cancer Patients
Gefitinib
Crizotinib
Trastuzumab
Lives 60% more compared to patients who have not done genomic profiling
Patients treated as per genomic profile lives 60% moreGenomic Profile not Done
Genomic Profile Done
Genomic profiling increases your chances of survival byIdentifying genetic variations that can be targeted using better Targeted therapies (e.g Gefitinib in EGFR positive cases)Helps avoid drugs which will be ineffective thereby reducing side effects (e.g. KRAS mutation to determine efficacy of Cetuximab)
All American Hospitals use Cancer Genomics Testing
1. MD Anderson
2. Memorial Sloan Kettering
3. Mayo Clinic
4. Dana Farber
5. Johns Hopkins
EGFR (Mutation)
ALK (Rearrangement)
KRAS (Mutation)
ROS1 (Rearrangement)
RET (Rearrangement)
PD-L1 (Expression)
BRAF (Mutation)
ER (Expression)
VEGF (Mutation)
BCR-ABL (Translocation)
MTOR (Mutation)
Trastuzumab
Crizotinib
Cetuximab
Crizotinib
Cabozantinib
Pembrolizumab
Vemurafenib
Tamoxifen
Bevacizumab
Imatinib/Dasatinib/Nilotinib
Everolimus
Standard Therapy
PositiveSelect is a must do test for
Single moleular diagnostic test covers all routine molecular tests Tests for 100 genes including EGFR, KRAS, PIK3CA, HER2, BRAF, ALK, ROS1, RET, MET available at affordable priceCovers nearly all National Comprehensive Cancer Network (NCCN) recommendations in a single testPositiveSelect Lite also gives drug recommendations associated with the 100 genes that are tested
All newly diagnosed solid tumours
Patients looking for molecular diagnostic tests
Lite
PositiveSelect aids routine molecular diagnostics
Ideal for newly diagnosed solid tumours
List of important genes covered as per Cancer type
Lite
All NCCN genes covered
Complete Replacement
Lung, Colorectal (CRC), Kidney, Ovarian cancer
Most (80%) NCCN genes covered
Add OnTests
Breast, Prostate, CNS, Head and Neck cancer
Lung EGFR, ALK, KRAS, HER2, BRAF, MET, ROS1, RET
Breast HER2, BRCA1, BRCA2, TP53, ESR1
Ovarian BRCA1, BRCA2
CRC NRAS, KRAS, BRAF, TP53, MLH1, MSH2, MSH6
Pancreatic KRAS, TP53, EGFR
Prostate PTEN, AR, BRCA1, BRCA2
Kidney VHL
PositiveSelect Lite: Testing Process
Lite
Genes Analyzed 100
Sequencing Method Illumina Next Generation Sequencing
Bioinformatics
Assay Sensitivity >90%
Assay Specificity >90%
Sequencing Coverage 1000x
Turnaround Time 4 weeks
Sample Requirements
Sample Types
6-8 ml of blood each in 2 ’Streck’ tubesOr FFPE sample (tissue size >=40µm having atleast 30% malignant cells)
Whole Bloodor Tumour
DNA Input Required 300 – 500 ng
PositiveSelect Lite Technical Specification
Sample Required Biomarkers Tested
100 cancer driving genes at 1000x
coverage
Routine molecular diagnostics and
Pharmacogenomics
Aids routine diagnostics
Bioinformatics Reporting
or
FFPE sample or 6-8ml of Blood each
in 2 Streck tubes
Lite
Ideal for newly diagnosed solid tumours
Use of our trademark TEST (Targeted Enrichment Sequencing for Therapeutics) pipeline for analysis and annotation
Page 1 of Report: Pharmacogenomics Section
Lite
Therapies with benefit highlighted by a green tick
Therapies with lack of benefit highlighted by a red tick
Easy to understand report format
Pharmacogenomics information given on the first page
Second page covers molecular testing details Ideal for newly diagnosed solid tumours
PATIENT PHYSICIAN
Name :
Date of Birth :Gender :
Name :
Institute :
SAMPLE
Sample Type : Sample Collection Date :
Report Date :
Sample ID :
XXX
Plasma --/--/2017
Coverage :Technology : 1000xTest : PositiveSelect Lite --/--/2017
PB_CG_SL_2017-18_X
F --/--/---- XXX Hospital
Dr. XXX
Illumina NGS
Diagnosis : Squamous Cell Carcinomaof Lung
Patient Tumor Type Speci�c Genes
ResultGenetic AlterationGene
NegativeAKT1
NegativeFGFR1
EGFR
NegativeMAP2K1
KRAS
No alteration detected NegativeNRAS
No alteration detected
No alteration detected
No alteration detected
NegativeALK
Negative
DDR2 Negative
ERBB2
No alteration detected
Negative
BRAF
No alteration detected
NegativeMET No alteration detected
NegativePTEN No alteration detected
NegativePIK3CA No alteration detected
NegativeRET No alteration detected
NegativeROS1 No alteration detected
Note: All the genomic alterations relevant to the cancer type (Lung Cancer) and the associated genes as per NCCN and mycancergenome.org are reported here.
Exon 19 deletion Positive
NegativeNo alteration detected
No alteration detected
No alteration detected
[Glu746_Ala750del]
Genes Covered in PositiveSelect LitePOINT MUTATIONS (>99% Sensitivity)
FUSIONS (>90% Sensitivity)
INSERTION/DELETIONS (INDELS)(>95% Sensitivity)AMPLIFICATIONS
ABCB1
ABCC1
ABCC2
ABCC3
ABCC4
ABCG2
ABL1
AKT1
ALK
AR
BCR
BRAF
BRCA1
BRCA2
BTK
CCND1
CCND2
CDA
CDK4
CDK6
CYP19A1
CYP1A1
CYP1A2
CYP1B1
CYP24A1
CYP27B1
CYP2B6
CYP2C19
CYP2C9
CYP2E1
CYP3A4
CYP3A5
DCK
DDB1
DDR2
DYNC2H1
EGFR
EML4
ERBB2 (HER2)
ERCC1
ERCC2
ERCC3
ERCC4
ERCC5
ESR1 (ER)
EWSR1
EZH2
F2R
FGFR1
FGFR2
FGFR4
FLT3
GSTA1
GSTP1
HIF1A
HRAS
IDH1
IGF1R
IL6
JAK1
JAK2
JAK3
KDR
KIT
KRAS
LINS1
MAP2K1
MAP2K2
MAPK1
MET
MLH1
MSH2
MSH6
MTHFD1
MTHFR
MTOR
NF1
NR1I2
NR1I3
NRAS
PARP1
PDCD1 (PD1)
PDGFRA
PDGFRB
PGR (PR)
PIK3CA
PTEN
REL
RET
ROS1
RRM1
STAT3
TERT
TOP1
TP53
TSC1
TSC2
VEGFA
VHL
XRCC1
ALK
FGFR2
RET
ROS1
AR
CCND1
CCND2
ERBB2
FGFR2
KRAS
PIK3CA
BRAF
CDK4
EGFR
FGFR1
KIT
MET
PDGFRA
BRCA1
EGFR
ERBB2
KIT
MET
MLH1
MTOR
NF1
PDGFRA
PTEN
TP53
TSC1
VHL
Lite
Ideal for newly diagnosed solid tumours
Plus
Comprehensive genomic profiling using Next Generation Sequencing
Tests 350 genes
PositiveSelect Plus detects all classes of genomic alterations, including point substitutions, insertions and deletions (indels), copy number alterations (CNAs) and rearrangements using cfDNA or FFPE sample
Industry leading coverage of 1000x
Benefits of PositiveSelect Plus
Identifies genomic alterations associated with clinical benefit
Provides Targeted Therapy
Gives information on Tumour Mutation Burden
Gives information on Microsatellite Instability Status
Quantifies clinical markers associated with immunotherapy response
Identifies relevant Clinical Trials
Ideal for 1st line failure/Rare cancers
Plus
Genes Analyzed 350
Sequencing Method Illumina Next Generation Sequencing
BioinformaticsUse of our trademark TEST (Targeted Enrichment Sequencing for Therapeutics) pipeline for analysis and annotation
Assay Sensitivity >90%
Assay Specificity >90%
Sequencing Coverage 1000x
Turnaround Time 4 weeks
Sample Requirements
Sample Types
6-8 ml of blood each in 2 ’Streck’ tubesOr FFPE sample (tissue size >=40µm having atleast 30% malignant cells)
DNA Input Required 300 – 500 ng
PositiveSelect Plus Technical Specification
PositiveSelect Plus: Testing Process
Sample Required Biomarkers Tested Bioinformatics Reporting
or
Plus
FFPE sample or 6-8 ml of Blood each
in 2 Streck tubes
350 cancer driving genes at 1000x
coverage
Mapping for treatment options and clinical trials
Contains PGX, TMB, MSI
Ideal for 1st line failure/Rare cancers
Whole Bloodor Tumour
Report
Plus
Ideal for 1st line failure/Rare cancers
ResultGenetic AlterationGene
Note: All the genomic alterations relevant to the cancer type (Pancreas Adenocarcinoma) and the associated genes as per NCCN are reported here.
GENOMIC ALTERATIONS WITH THERAPEUTIC IMPLICATIONS
Additional Findings
Microsatellite status MS-Unstable
Tumor Mutation Burden TMB-High
TP53 NegativeNo alteration detected
Positive
PLUS
PATIENT PHYSICIAN
Name :
Date of Birth :Gender :
Name :
Institute :
SAMPLE
Sample Type : Sample Collection Date :
Report Date :
Sample ID :
XXX
Plasma --/---/2017
Coverage :Technology : 1000xTest : PositiveSelect Plus --/---/2017
PB_CG_SP_2017-18_X
M --/---/---- XXX Hospital
Dr. XXX
Illumina NGS
Diagnosis : Pancreas Adenocarcinoma
PATIENT TUMOR TYPE SPECIFIC GENES
KRAS Positivep.G12D
CDKN2A Positivec.131dupA
Positive
SMAD4 NegativeNo alteration detected
Plus
Genes Covered in PositiveSelect PlusPOINT MUTATIONS (>99% Sensitivity)
ABCB1
ABCC1
ABCC2
ABCC4
ABCG2
ABL1
AKT1
AKT2
AKT3
ALK
ALOX12B
AMELY
APC
AR
ARAF
ARID1A
ASXL1
ASXL2
ATM
ATR
ATRX
AURKA
AURKB
AXIN1
AXIN2
AXL
B2M
BAP1
BARD1
BBC3
BCL2
BCL2L1
BCL2L11
BCL6
BCOR
BCR
BLM
BRAF
BRCA1
BRCA2
BRD4
BRIP1
BTK
CARD11
CASP8
CBFB
CBL
CCND1
CCND2
CCND3
CCNE1
CD274
CD276
CD79B
CDC73
CDH1
CDK12
CDK4
CDK6
CDK8
ALK
FGFR2
FGFR3
RET
ROS1
NTRK1
AR
CCNE1
CCND1
CCND2
ERBB2
FGFR2
KRAS
PIK3CA
MYC
PD-L1
BRAF
CDK4
CDK6
EGFR
FGFR1
KIT
MET
PDGFRA
RAF1
ATM
APC
ARID1A
BRCA1
BRCA2
CDH1
CDKN2A
EGFR
ERBB2
GATA3
KIT
MET
MLH1
MTOR
NF1
PDGFRA
PTEN
RB1
SMAD4
STK11
TP53
TSC1
VHL
CDKN1A
CDKN1B
CDKN2A
CDKN2B
CDKN2C
CHEK1
CHEK2
CREBBP
CRKL
CRLF2
CSF1R
CTCF
CTLA4
CTNNB1
CUL3
CYP19A1
CYP1A1
CYP1A2
CYP1B1
CYP2A4
CYP2A6
CYP2B6
CYP2E1
DAXX
DAZ1
DDR2
DICER1
DIS3
DNMT1
DNMT3A
DNMT3B
DOT1L
E2F3
EGFL7
EGFR
EML4
EP300
EPCAM
EPHA3
EPHA5
EPHB1
ERBB2
ERBB3
ERBB4
ERCC2
ERCC3
ERCC4
ERCC5
ERG
ESR1
ETV1
ETV6
EWSR1
EZH2
FAM123B
FANCA
FANCC
FAT1
FBXW7
FGF19
FGF3
FGF4
FGFR1
FGFR2
FGFR3
FGFR4
FH
FLCN
FLT1
FLT3
FLT4
FOXA1
FOXL2
FOXP1
FUBP1
GATA1
GATA2
GATA3
GNA11
GNAQ
GNAS
GSK3B
GSTA1
GSTP1
HGF
HIF1A
HIST1H3B
HNF1A
HRAS
IDH1
IDH2
IFNGR1
IGF1
IGF1R
IGF2
IKBKE
IKZF1
IL10
IL7R
INSR
IRF4
IRS1
IRS2
JAK1
JAK2
JAK3
JUN
KDM5A
KDM5C
KDM5D
KDM6A
KDR
KEAP1
KIT
KLF4
KRAS
LATS1
LATS2
LMO1
MAP2K1
MAP2K2
MAP2K4
MAP3K1
MAP3K13
MAPK1
MAX
MCL1
MDC1
MDM2
MDM4
MED12
MEF2B
MEN1
MET
MITF
MLH1
MLL
MLL2
MLL3
MPL
MSH2
MSH6
MTHFD1
MTHFD1L
MTHFR
MTOR
MUTYH
MYC
MYCL1
MYCN
MYD88
MYOD1
NBN
NCOR1
NF1
NF2
NFE2L2
NKX2-1
NKX3-1
NOTCH1
NOTCH2
NOTCH3
NOTCH4
NPM1
NR1I2
NRAS
NSD1
NTRK1
NTRK2
NTRK3
NUTM1
PAK1
PAK7
PALB2
PARK2
PARP1
PAX5
PAX8
PBRM1
PDCD1
PDGFRA
PDGFRB
PDPK1
PGR
PIK3C2G
PIK3C3
PIK3CA
PIK3CB
PIK3CD
PIK3CG
PIK3R1
PIK3R2
PIK3R3
PIM1
PLK2
PMAIP1
PMS1
PMS2
PNRC1
POLE
PPP2R1A
PRDM1
PRKAR1A
PRKY
PTCH1
PTEN
PTPN11
RAC1
RAD50
RAD51
RAD51B
RAD51C
RAD51D
RAD52
RAD54L
RAF1
RARA
RASA1
RB1
RECQL4
REL
RET
RFWD2
RHOA
RICTOR
RIT1
RNF43
ROS1
RPS4Y2
RPS6KA4
RPS6KB2
RPTOR
RUNX1
RYBP
SDHA
SDHAF2
SDHB
SDHC
SDHD
SETD2
SF3B1
SH2D1A
SLC22A1
SMAD2
SMAD3
SMAD4
SMARCA4
SMARCB1
SMO
SOCS1
SOX17
SOX2
SOX9
SPOP
SRC
SRY
STAG2
STK11
STK40
SUFU
SYK
TBX3
TERT
TET1
TET2
TGFBR1
TGFBR2
TMEM127
TMPRSS2
TNFAIP3
TNFRSF14
TOP1
TP53
TP63
TRAF7
TSC1
TSC2
TSHR
TSPY4
TTTY23
TYMS
U2AF1
USP9Y
VHL
WT1
XIAP
XPO1
YAP1
YES1
ZFY
FUSIONS (>99% Sensitivity)
INSERTION/DELETIONS (INDELS)(>95% Sensitivity)
AMPLIFICATIONS
Ideal for 1st line failure/Rare cancers
PositiveSelect Match is India’s first Cancer Genomics test which tests both tumour and normal sample
Testing variations in both tumour and normal sample helps identify true somatic mutations which are driving cancer. Once true driver mutations are identified patients can be treated with confidence
100 genes tested on NGS in tumour and normal sample
Helps find out true somatic and germline mutations
Improves accuracy of finding driver mutation by 31%
Provides better treatment options thereby improving survival chances
Benefits of PositiveSelect Match
Identifies true driver mutations
Identifies true Somatic mutations
Identifies Germline mutations
Improves accuracy of Genomic Profiling by 31%
Universal diagnostics
Identifies HBOC, Lynch Syndrome
Helps in knowing risk of inheritance of faulty genes in the family
Match
Ideal for 1st line failure/family history of cancer/relapse
Genes Analyzed 100
Sequencing Method Illumina Next Generation Sequencing
BioinformaticsUse of our trademark TEST (Targeted Enrichment Sequencing for Therapeutics) pipeline for analysis and annotation
Assay Sensitivity >90%
Assay Specificity >90%
Sequencing Coverage 1000x
Turnaround Time 4 weeks
DNA Input Required 300 – 500 ng
PositiveSelect Match Technical Specification
Match
PositiveSelect Match: Testing Process
Ideal for 1st line failure/family history of cancer/relapse
Sample Required Biomarkers Tested Bioinformatics Reporting
or
Match
FFPE sample or 6-8ml of Blood each in 2 Streck tube & 4ml in EDTA tube
100 cancer driving genes on
tumour and normal sample at 1000x
Mapping for treatment options and clinical trials
Report contains PGX, True Germline, True Somatic
Mutations
Sample Requirements
Sample Types
6-8 ml of blood each in 2 ’Streck’ tubes and 3-4 ml of blood in EDTA tubeor FFPE sample and 3-4 ml of blood in EDTA tube
Blood in Streck tubes and in EDTA tubeor Tumour and Whole Blood in EDTA tube
Ideal for 1st line failure/family history of cancer/relapse
Report
Match
Easy to understand report format
Pharmacogenomics information given on the first page followed by molecular tests
Green tick indicates beneficial treatment options
Red tick denotes treatment options with lack of benefit
Therapies with benefit highlighted by a green tick
Therapies with lack of benefit highlighted by a red tick
THERAPIES WITH POTENTIAL BENEFIT
Result Targeted PathwaysDrugs Gene
mTOR/PIK3CA inhibitors [Everolimus, Temsirolimus/Buparlisib, Taselisib]
PI3K/MTOR signaling pathway
PositivePIK3CA[E542K]
THERAPIES WITH POTENTIAL LACK OF BENEFIT
Result Targeted PathwaysDrugs Gene
PATIENT PHYSICIAN
Name :
Date of Birth :Gender :
Name :
Institute :
SAMPLE
Sample Type : Sample Collection Date :
Report Date :
Sample ID :
XXX
Plasma --/---/2017
Coverage :Technology : 1000XTest : PositiveSelect Match --/---/2017
F --/---/----
Dr. XXX
Illumina NGS
Diagnosis : Ca Peritoneal Ovarian with Renal Mets
XXX Hospital
PB_CG_SM_2016_X
MEK Inhibitors [Trametinib]
KRAS/BRAF/MAPK signaling pathway
PositiveKRAS[G13C]
[Cetuximab/Panitumumab]EGFR inhibitors KRAS
[G13C]Positive KRAS/BRAF/MAPK signaling
pathway
No germline pathogenic variants detected in BRCA1/2 genes. Hence the patient is less likely to benefit from PARP inhibitors(Olaparib)
Note: Patients with mutated KRAS are less likely to benefit from EGFR inhibitors (Cetuximab and Panitumumab)
[Olaparib]PARP inhibitors BRCA1/2 Negative Homologous Recombination
Genes Covered in PositiveSelect MatchPOINT MUTATIONS (>99% Sensitivity)
FUSIONS >90% Sensitivity
INSERTION/DELETIONS (INDELS)>90% Sensitivity
AMPLIFICATIONS
ABCB1
ABCC1
ABCC2
ABCC3
ABCC4
ABCG2
ABL1
AKT1
ALK
AR
BCR
BRAF
BRCA1
BRCA2
BTK
CCND1
CCND2
CDA
CDK4
CDK6
CYP19A1
CYP1A1
CYP1A2
CYP1B1
CYP24A1
CYP27B1
CYP2B6
CYP2C19
CYP2C9
CYP2E1
CYP3A4
CYP3A5
DCK
DDB1
DDR2
DYNC2H1
EGFR
EML4
ERBB2 (HER2)
ERCC1
ERCC2
ERCC3
ERCC4
ERCC5
ESR1 (ER)
EWSR1
EZH2
F2R
FGFR1
FGFR2
FGFR4
FLT3
GSTA1
GSTP1
HIF1A
HRAS
IDH1
IGF1R
IL6
JAK1
JAK2
JAK3
KDR
KIT
KRAS
LINS1
MAP2K1
MAP2K2
MAPK1
MET
MLH1
MSH2
MSH6
MTHFD1
MTHFR
MTOR
NF1
NR1I2
NR1I3
NRAS
PARP1
PDCD1
PDGFRA
PDGFRB
PGR (PR)
PIK3CA
PTEN
REL
RET
ROS1
RRM1
STAT3
TERT
TOP1
TP53
TSC1
TSC2
VEGFA
VHL
XRCC1
ALK
FGFR2
RET
ROS1
AR
CCND1
CCND2
ERBB2
FGFR2
KRAS
PIK3CA
BRAF
CDK4
EGFR
FGFR1
KIT
MET
PDGFRA
BRCA1
EGFR
ERBB2
KIT
MET
MLH1
MTOR
NF1
PDGFRA
PTEN
TP53
TSC1
VHL
Match
Ideal for 1st line failure/family history of cancer/relapse
Ultimate
Most comprehensive Cancer Genomics test available
Matched NGS analysis on Tumour and Normal sample, testing 350 genes
Only cancer genomics test in the world which covers:
Pathway Analysis
Tumour Mutation Burden (TMB)
Microsatellite Instability (MSI)
True Somatic Mutations
True Germline Mutations
Targeted Therapy
Chemotherapy
Clinical Trial
Hereditary testing for HBOC and Lynch Syndrome
Benefits of PositiveSelect Ultimate
Provides the best chance of beating cancer
Provides a 3D view of genomic profiling by accurately determining True Somatic, True Germline and True Driver mutations
Provides treatment solution based on cancer pathways increasing the odds of beating cancer manyfold
Immunotherapy options based on Microsatellite instability and Tumour Mutation Burden
Expert commentary with every report
Expert consultation with treating doctor to analyse and treat patients in a holistic manner
Ideal for aggressive/rare cancers and patients with no treatment options
Genes Analyzed 350
Sequencing Method Illumina Next Generation Sequencing
BioinformaticsUse of our trademark TEST (Targeted Enrichment Sequencing for Therapeutics) pipeline for analysis and annotation
Assay Sensitivity >90%
Assay Specificity >90%
Sequencing Coverage 1000x
Turnaround Time 4 weeks
Sample Requirements
Sample Types
6-8 ml of blood each in 2 ’Streck’ tubes and 3-4 ml of blood in EDTA tubeor FFPE sample and 3-4 ml of blood in EDTA tube
Blood in Streck tubes and in EDTA tubeor Tumour and Whole Blood in EDTA tube
DNA Input Required 300 – 500 ng
PositiveSelect Ultimate: Testing Process
PositiveSelect Ultimate Technical SpecificationUltimate
Ideal for aggressive/rare cancers and patients with no treatment options
Sample Required Biomarkers Tested Bioinformatics ReportingUltimate
or
FFPE sample or 6-8ml of Blood each in 2
Streck tubes & 4ml in EDTA tube
350 cancer driving genes on
tumour and normal sample at 1000x
Mapping for treatment options and clinical trials
Most comprehensive Cancer Genomics report
EXPERT COMMENTARY
GENOMIC HIGHLIGHTS
IMPLICATIONS TO IMMUNOTHERAPY
4 Pathways driving cancer
7 Genomic alterations
0 Genomic alterations with clinical lack of bene t
4 Clinical trials
MSI-Stable
TMB-High
Microsatellite status
Tumor Mutation Burden
PATIENT PHYSICIAN
Name :
Date of Birth :Gender :
Name :
Institute :
SAMPLE
Sample Type : Sample Collection Date :
Report Date :
Sample ID :
XXX
Plasma & Blood --/---/2017
Coverage :Technology : 1000XTest : PositiveSelect Ultimate --/---/2017
PB_CG_SU_2017-18_X
M --/---/---- XXX Hospital
Dr. XXX
Illumina NGS
Diagnosis : Signet ring cell carcinomaof stomach cancer
Note: Complimentary call for consultation is available.
Note: TMB-Low :- <19 mutations/MB, TMB-High - >20 mutations/MB; MS-Stable <2% unstable sites, MS-Unstable >2% unstable sites
NOTCH4 mediated MTOR signaling pathway
MUTYH - A95W
6 Genomic alterations with clinical actionability
BRCA2 - T2412I
KRAS signaling pathwayCell cycle signaling pathwayDNA repair pathway
NOTCH4 - AmplificationKRAS - Amplification (equivocal)CDK4 - Amplification (equivocal)FGF19 - Amplification (equivocal)
The patient was diagnosed with signet-ring cell carcinoma of the stomach with lower esophagus, gastric cardia and fundus metastases and was treatedwith chemotherapy.
We identified six clinically actionable genomic alterations [BRCA2 (T2412I), CDK4, NOTCH4, KRAS, and FGF19 amplification] and high tumor mutationburden. Studies have documented the effect of NOTCH4 amplification which continously activates PI3K/AKT/MTOR pathway inturn resulting in tumori-genesis. Gamma secretase inhibitors targeting NOTCH4 receptors and MTOR inhibitor could prove beneficial. CDK4 amplification could possibly result inenhanced and highly active CCND1-CDK mediated cell cycle and proliferation which when targeted using CDK4/6 inhibitors could promote anti-tumor activity.
Amplification of KRAS could result in PIK3CA/MTOR or BRAF/MAPK activation, which may lead to increase in cell-proliferation and survival, which wheninhibited using PIK3CA/MEK inhibitor could prove beneficial.
The total tumor mutation burden was detected to be high at 24.15 mutations per megabase. This indicates that the patient may be a candidate for immunotherapy in an investigational setting.
First Page of Report: Expert Commentary and SummaryUltimate
Simple easy to understand report format
Expert summary, genomic highlights and response to immunotherapy given on first page
First page helps summarise the report for quick reference
All important points highlighted on the first page makes the report more meaningful
Expert Commentary helps understand the genetic basis of the disease to take more actionable clinical decisions
Genomic Highlights: Summarises the pathways driving cancer in the patient. Once pathway is identified it can be targeted.
Response to Immunotherapy: Summarises status of Tumour Mutation Burden and Microsatellite Instability
Ideal for aggressive/rare cancers and patients with no treatment options
UltimateGenes Covered in PositiveSelect Ultimate
POINT MUTATIONS (>99% Sensitivity)
ABCB1
ABCC1
ABCC2
ABCC4
ABCG2
ABL1
AKT1
AKT2
AKT3
ALK
ALOX12B
AMELY
APC
AR
ARAF
ARID1A
ASXL1
ASXL2
ATM
ATR
ATRX
AURKA
AURKB
AXIN1
AXIN2
AXL
B2M
BAP1
BARD1
BBC3
BCL2
BCL2L1
BCL2L11
BCL6
BCOR
BCR
BLM
BRAF
BRCA1
BRCA2
BRD4
BRIP1
BTK
CARD11
CASP8
CBFB
CBL
CCND1
CCND2
CCND3
CCNE1
CD274
CD276
CD79B
CDC73
CDH1
CDK12
CDK4
CDK6
CDK8
ALK
FGFR2
FGFR3
RET
ROS1
NTRK1
AR
CCNE1
CCND1
CCND2
ERBB2
FGFR2
KRAS
PIK3CA
MYC
PD-L1
BRAF
CDK4
CDK6
EGFR
FGFR1
KIT
MET
PDGFRA
RAF1
ATM
APC
ARID1A
BRCA1
BRCA2
CDH1
CDKN2A
EGFR
ERBB2
GATA3
KIT
MET
MLH1
MTOR
NF1
PDGFRA
PTEN
RB1
SMAD4
STK11
TP53
TSC1
VHL
CDKN1A
CDKN1B
CDKN2A
CDKN2B
CDKN2C
CHEK1
CHEK2
CREBBP
CRKL
CRLF2
CSF1R
CTCF
CTLA4
CTNNB1
CUL3
CYP19A1
CYP1A1
CYP1A2
CYP1B1
CYP2A4
CYP2A6
CYP2B6
CYP2E1
DAXX
DAZ1
DDR2
DICER1
DIS3
DNMT1
DNMT3A
DNMT3B
DOT1L
E2F3
EGFL7
EGFR
EML4
EP300
EPCAM
EPHA3
EPHA5
EPHB1
ERBB2
ERBB3
ERBB4
ERCC2
ERCC3
ERCC4
ERCC5
ERG
ESR1
ETV1
ETV6
EWSR1
EZH2
FAM123B
FANCA
FANCC
FAT1
FBXW7
FGF19
FGF3
FGF4
FGFR1
FGFR2
FGFR3
FGFR4
FH
FLCN
FLT1
FLT3
FLT4
FOXA1
FOXL2
FOXP1
FUBP1
GATA1
GATA2
GATA3
GNA11
GNAQ
GNAS
GSK3B
GSTA1
GSTP1
HGF
HIF1A
HIST1H3B
HNF1A
HRAS
IDH1
IDH2
IFNGR1
IGF1
IGF1R
IGF2
IKBKE
IKZF1
IL10
IL7R
INSR
IRF4
IRS1
IRS2
JAK1
JAK2
JAK3
JUN
KDM5A
KDM5C
KDM5D
KDM6A
KDR
KEAP1
KIT
KLF4
KRAS
LATS1
LATS2
LMO1
MAP2K1
MAP2K2
MAP2K4
MAP3K1
MAP3K13
MAPK1
MAX
MCL1
MDC1
MDM2
MDM4
MED12
MEF2B
MEN1
MET
MITF
MLH1
MLL
MLL2
MLL3
MPL
MSH2
MSH6
MTHFD1
MTHFD1L
MTHFR
MTOR
MUTYH
MYC
MYCL1
MYCN
MYD88
MYOD1
NBN
NCOR1
NF1
NF2
NFE2L2
NKX2-1
NKX3-1
NOTCH1
NOTCH2
NOTCH3
NOTCH4
NPM1
NR1I2
NRAS
NSD1
NTRK1
NTRK2
NTRK3
NUTM1
PAK1
PAK7
PALB2
PARK2
PARP1
PAX5
PAX8
PBRM1
PDCD1
PDGFRA
PDGFRB
PDPK1
PGR
PIK3C2G
PIK3C3
PIK3CA
PIK3CB
PIK3CD
PIK3CG
PIK3R1
PIK3R2
PIK3R3
PIM1
PLK2
PMAIP1
PMS1
PMS2
PNRC1
POLE
PPP2R1A
PRDM1
PRKAR1A
PRKY
PTCH1
PTEN
PTPN11
RAC1
RAD50
RAD51
RAD51B
RAD51C
RAD51D
RAD52
RAD54L
RAF1
RARA
RASA1
RB1
RECQL4
REL
RET
RFWD2
RHOA
RICTOR
RIT1
RNF43
ROS1
RPS4Y2
RPS6KA4
RPS6KB2
RPTOR
RUNX1
RYBP
SDHA
SDHAF2
SDHB
SDHC
SDHD
SETD2
SF3B1
SH2D1A
SLC22A1
SMAD2
SMAD3
SMAD4
SMARCA4
SMARCB1
SMO
SOCS1
SOX17
SOX2
SOX9
SPOP
SRC
SRY
STAG2
STK11
STK40
SUFU
SYK
TBX3
TERT
TET1
TET2
TGFBR1
TGFBR2
TMEM127
TMPRSS2
TNFAIP3
TNFRSF14
TOP1
TP53
TP63
TRAF7
TSC1
TSC2
TSHR
TSPY4
TTTY23
TYMS
U2AF1
USP9Y
VHL
WT1
XIAP
XPO1
YAP1
YES1
ZFY
FUSIONS (>99% Sensitivity)
INSERTION/DELETIONS (INDELS)(>95% Sensitivity)
AMPLIFICATIONS
Ideal for aggressive/rare cancers and
patients with no treatment options
Corporate O�ce: 1st Floor Kohinoor City Mall, Gate No. 1, Kirol Road, Kurla West, Mumbai, Maharashtra, India 400070Toll Free: 1800 3070 6727 Website: www.positivebioscience.com Email: [email protected]
Ideal for patients with aggressive cancers, rare cancers and who have exhausted all treatment options
PositiveSelect can be done on blood and blocks
PositiveSelect is India’s # 1 Cancer Genomics test with every 8 out of 10 patients selecting it for deciding their treatment
PositiveSelect uses NGS, which is the New Gold standard of Molecular Diagonostics
PositiveSelect provides industry leading NGS coverage at 1000x.
PositiveSelect gives a more complete and comprehensive solution for cancer patients.
PositiveSelect is India's # 1 Cancer Genomics Test