1 Oncotype DX® Colon Cancer Assay Personalizing Risk Assessment in the Management of Stage II Colon Cancer 2 Agenda • The Need for Individualized Treatment Decisions in Stage II Colon Cancer • Development of the Genomic Health Oncotype DX® Colon Cancer Assay • QUASAR Validation Study Results 3 Case Study Presentation • 65 yr old woman, no significant PMHx, presented with 6 month history of constipation, found to have modest iron-deficiency anemia (Hct 35), colonoscopy positive for descending colon tumor mass, now recovering well s/p left hemicolectomy. – 2.2 cm tumor mass descending colon resected, negative surgical margins – 0 of 13 nodes positive – Stage II (T3, N0, M0) colon cancer – Moderately differentiated adenocarcinoma (Low Grade) – No lymphatic or vascular invasion How should this patient be evaluated for treatment? What is her risk of disease recurrence? How likely is she to benefit from chemotherapy? 4 The challenge: Which stage II colon cancer patients should receive adjuvant chemotherapy? • Unclear which 75-80% of patients cured with surgery alone • Absolute chemotherapy benefit small • Chemo has significant toxicity and impacts quality of life • Median age 71 years old, co-morbidities and competing causes of mortality • Selection of patients for chemotherapy is subjectively based on: – Risk assessment with a limited set of clinical/pathologic markers – Patient age, co-morbidities, patient preference 5 Current Management of Stage II Colon Cancer • NCCN Guidelines list wide range of “acceptable” management strategies for resected stage II colon cancer: – Observation – 5FU/LV or capecitabine – 5FU/LV/oxaliplatin (for high risk features) – Clinical trial • Estimated % receiving adjuvant therapy: 25-35% – Use of adjuvant regimens in practice today*: • 5FU/LV 19% • Capecitabine 10% • FOLFOX 60% • Other 11% NCCN® Clinical Practice Guidelines for Oncology: Colon Cancer v2.2011 *OncoReport: Medical Oncology T1 2009, Interactive Clinical Intelligence, www.icimrr.com 6 Existing Tools for Selecting Stage II Patients for Treatment Are Inadequate Recurrence Risk Treatment Benefit • • • • • • • • MMR? Bowel obstruction or perforation T-Stage # of nodes assessed Tumor grade Lymphatic/vascular invasion Margin status MMR According to current guidelines*: • Unlike in breast cancer, there are no molecular markers that have been routinely established in clinical practice for stage II colon cancer. • Use of MMR to assess recurrence risk and treatment benefit is an evolving area in guidelines and currently recommended if using single-agent fluoropyrimidine • Treatment decisions today are based on the expectation that higher risk stage II patients derive larger absolute benefit with adjuvant chemotherapy. * NCCN® Clinical Practice Guidelines for Oncology: Colon Cancer v2.2011 ASCO® Recommendations on Adjuvant Chemotherapy for Stage II Colon Cancer, JCO, 2004. ASCO is a registered trademark of the American Society of Clinical Oncology. ASCO does not endorse any product or therapy. 7 Existing Tools for Selecting Stage II Patients for Treatment Are Inadequate • Guidelines: presence of any existing risk marker categorizes patients into “higher risk” vs “standard risk” groups – No further discrimination for “standard risk” (the majority) – Not individualized or quantitative • In the absence of established predictive markers, treatment decisions today are based on the expectation that higher risk stage II colon cancer patients derive larger absolute benefit with adjuvant chemotherapy NCCN Clinical Practice Guidelines for Oncology: Colon Cancer v2.2011 ASCO® Recommendations on Adjuvant Chemotherapy for Stage II Colon Cancer, JCO, 2004. 8 Stage II Colon Cancer: T4 Stage Predicts High Recurrence Risk SEER database 1991-2000: 119,363 colon cancer patients 5-yr risk of death: 17.5% all Stage II 15.3% Stage IIa (T3N0) 27.8% Stage IIb (T4N0) 17% of Stage II patients had T4 tumors • Significantly worse outcome for T4 • T3 is not a “low risk” factor – very near average risk O’Connell 2004 JNCI 96:1420 9 Mismatch Repair Deficiency (MMR-D): Unique Biological Subgroup of Colon Cancer IHC for MMR protein status MLH1+ MSH2- MLH1- MSH2+ Thus, IHC for MMR proteins PCR onand tumorPCR for MSI detect two for tumor MSI manifestations of the DNA same biology: (microsatellite •MMR-D is synonymous with MSI-H instability) Imai and Yamamoto. Carcinogenesis 2008 •MMR-P synonymous with MSI-L/MSS Umetani, Annals of Surgical is Oncology 2000 Rosen et al. Modern Pathology (2006) 19, 1414-1420 10 MMR-D Identifies Resected Colon Cancer Patients With Low Recurrence Risk No adjuvant chemotherapy n=287 MMR-D MMR-P • • Multiple studies have consistently demonstrated that the ~15% patients with MMR-D have markedly lower recurrence risk than the average stage II colon cancer patient MMR not yet a standardized marker in clinical practice Ribic 2003 NEJM 349:247 11 MMR-D and Disease Free Survival in Stage II Colon Cancer: Utility of Adjuvant 5FU Therapy Whether 5FU is harmful in MMR-D patients remains controversial, but at best, 5FU appears to yield little, if any, benefit for MMR-D patients Sargent 2010 JCO 28:3219 12 ECOG 5202 Molecular Stratification in Stage II Colon Cancer Randomize: FOLFOX vs FOLFOX + bevacizumab High Risk: MSS/MSI-L with 18q LOH Stage II colon cancer Tumor MSI & 18qLOH Low Risk: MSI-H, or MSS/MSI-L without 18q LOH Observation • Opened 8/2005, Target enrollment: 3610, still accruing • Considerations: • Mixed literature for prognostic importance of 18q LOH • MSI-H patients not randomized • Negative NSABP C-08 , AVANT results Adapted from Vicuna & Benson 2007 JNCCN 13 Oncotype DX® Colon Cancer Assay Development Overview Technical Feasibility Gene Discovery & Refinement Analytical Validation Clinical Validation 14 Key Themes • Importance of understanding and treating the underlying individual tumor biology • Genomic assays for clinical decision-making must be “Fit for purpose” – Clinically validated in prospectively-designed studies of sufficient size and statistical power – Supported by evidence in target patient population, with demonstrated value beyond existing measures – Standardized and reproducible – Practical and clinically impactful DX® Oncotype Breast Cancer Assay: A Widely Adopted, Quantitative RT-PCR Assay 15 Clinical Experience in >175K cases Recurrence Score® in N-, ER+ patients Low Recurrence Score Disease • Lower likelihood of recurrence • Greater magnitude of TAM benefit • Minimal, if any, chemotherapy benefit High Recurrence Score Disease • Greater likelihood of recurrence • Lower magnitude of TAM benefit • Clear chemotherapy benefit 1) Paik et al NEJM 2004, 2) Habel et al Breast Cancer Research 2006 3) Paik et al JCO 2006, 4) Gianni et al JCO 2005 16 Development Strategy for the Oncotype DX® Breast Cancer Assay 2001 Breast Cancer Technical Feasibility 2002 Model Building Studies Based on 250 genes 2002 Selection of Final 21-Gene List & Algorithm 2003 Standardization and Validation of Analytical Methods 2003 Validation Studies in NSABP B-14 and Kaiser Permanente 17 Development and Validation of a Multi-Gene RT-PCR Colon Cancer Assay Colon Cancer Technical Feasibility Development Studies Surgery Alone NSABP C-01/C-02 (n=270) Development Studies Surgery + 5FU/LV NSABP C-04 (n=308) Cleveland Clinic (n = 765) NSABP C-06 (n=508) Selection of Final Gene List & Algorithm Standardization and Validation of Analytical Methods Clinical Validation Study – Stage II Colon Cancer QUASAR (n=1,436) Test Prognosis and Treatment Benefit Kerr et al., ASCO® 2009, #4000 18 Oncotype DX® Colon Cancer Assay Development Overview Technical Feasibility Gene Discovery & Refinement Analytical Validation Clinical Validation 19 RT-PCR for RNA Quantification from Fixed Paraffin-Embedded Tumor Tissue Reporter Forward Primer R Probe Quencher Q Polymerization Reverse Primer R Q Strand Displacement and Cleavage of Probe Q R Polymerization Completed Clark-Langone, BMC Genomics: 2007; 8:279. Cronin et al. Am J Pathol. 2004;164:35-42 Oncotype DX® Colon Cancer Technical Feasibility Studies • RNA yield and RNA quality after extraction from FPET tissues • Gene expression differences and similarities between whole section and enriched colon tumor tissue sections – Established need for manual microdissection of colon tumor specimens • Reference gene selection – Compensates for known variability of pre-analytical factors (e.g. Delay to fixation, duration of fixation, fixative) 20 21 Oncotype DX® Process • Standardized RT-PCR – Optimized for the small RNA fragments extracted from fixed paraffin embedded tissue (FPET) – Optimized to be robust with regard to sources of preanalytic variability such as • • • • Delay to fixation Duration of fixation Fixative type Sample age Cronin et al. Am J Pathol. 2004;164:35-42 22 • Delays to fixation, duration of fixation, different fixatives and sample age can affect RNA quality Hollandes Reference Normalized Expression (CT) Normalization Accounts for Known Sources of Preanalytic Variability • Reference normalization compensates for these differences in sample processing and sample age Reference Normalized Expression (CT) Formalin Genomic Health, data on file 23 Oncotype DX® Colon Cancer Assay Development Overview Technical Feasibility Gene Discovery & Refinement Analytical Validation Clinical Validation 24 Gene Discovery and Gene Refinement Studies: Oncotype DX® Colon Correlation between gene expression and recurrence-free interval (RFI) across four independent studies. Total of 1851 patients. Treatment Study and Site # Patients (Stage II/III) # Genes Surgery Alone C01/C02 NSABP, Pittsburgh, PA 270 (131/139) 761 Surgery Alone Cleveland Clinic Cleveland, OH 765 (504/261) 375 Surgery plus 5FU/LV C04 NSABP, Pittsburgh, PA 308 (137/171) 761 Surgery plus 5FU/LV C06 NSABP, Pittsburgh, PA 508 (235/273) 375 O’Connell et al. 2010 JCO 28:3937 25 Identification of Recurrence Genes in Development Studies NSABP C01/C02 (surgery alone) 143 genes significant NSABP C04 (surgery+FU/FA) 143 genes significant CC (surgery alone) 119 genes significant NSABP C06 (surgery+FU/FA) 169 genes significant • 48 (13%) of 375 genes studied in all development studies were significantly associated with RFI (p<0.05) in both surgery alone and at least one surgery + FU/FA study • <1 gene expected to be a false discovery Kerr D, et al. ESMO 2010 #83PD. Assessment of 761 Candidate Genes in 1,851 Patients in the Development Studies to Yield Final Pre-specified Assay for Validation in QUASAR 26 48 Recurrence and 66 Treatment Benefit Genes Significant Across Development Studies Modeling and Analytical Performance FINAL ASSAY 7 Recurrence Genes 6 Treatment Benefit Genes RECURRENCE SCORE TREATMENT SCORE (0-100) (0-100) 5 Reference Genes O’Connell et al. 2010 JCO 28:3937 Kerr et al., ASCO® 2009, #4000 27 The 12-Gene Oncotype DX® Colon Cancer Recurrence Score® Recurrence Score STROMAL FAP INHBA BGN CELL CYCLE Ki-67 C-MYC MYBL2 Reference Genes ATP5E GPX1 PGK1 UBB VDAC2 GADD45B RS = 0.15 x Stromal Group - 0.30 x Cell Cycle Group + 0.15 x GADD45B O’Connell et al. 2010 JCO 28:3937 Kerr et al., ASCO 2009, #4000 28 Oncotype DX® Colon Cancer Assay Development Overview Technical Feasibility Gene Discovery & Refinement Analytical Validation Clinical Validation Oncotype DX® is Analytically Validated Assessment of assay performance characteristics and optimal conditions for accuracy, precision and reproducibility Assay Finalization in Preparation for Validation • • • • • • Heterogeneity assessment PCR amplification efficiency Finalization of algorithm and cut points Standard Operating Procedures Final Assay Format Calibration and qualification of instruments and reagents Analytic Validation • Analytical sensitivity (limits of detection and quantitation) • Assay precision and linear dynamic range • Analytical reproducibility 29 30 Oncotype DX® Assay Process Steps: Defined and Finalized Prior to Validation 1) PRE-ANALYTIC – Pathology review of the FPET sample by a Board Certified Anatomic Pathologist – Mark guide slide for manual microdissection 2) ANALYTIC – RNA extraction and quantitation (Ribogreen® method) – qPCR test for residual genomic DNA – Reverse transcription – TaqMan PCR – Data quality control 3) POST-ANALYTIC – Calculation of Recurrence Score® result – Report preparation and approval Analytical Validation of the Oncotype DX® Colon Cancer Assay Clark-Langone et al, BMC Cancer 2010 “The high precision of the individual genes translates into a similarly high level of precision for the stromal gene group score (SD≤0.04), the cell cycle gene group scores (SD≤0.05) and the RS (SD≤1.38).” 32 Oncotype DX® Colon Cancer Assay Development Overview Technical Feasibility Gene Discovery & Refinement Analytical Validation Clinical Validation 33 A quantitative multi-gene RT-PCR assay for prediction of recurrence in stage II colon cancer: Selection of the genes in 4 large studies and results of the independent, prospectively-designed QUASAR validation study David Kerr1, Richard Gray2, Philip Quirke3, Drew Watson4, Greg Yothers5, Ian Lavery6, Mark Lee4, Michael O'Connell5, Steven Shak4, Norman Wolmark5 and the Genomic Health & QUASAR Colon Teams 1. University of Oxford, Oxford, UK & SIDRA, Qatar; 2. Birmingham Clinical Trials Unit, Birmingham, UK; 3. Leeds Institute of Molecular Medicine, Leeds, UK; 4. Genomic Health, Inc., Redwood City, CA; 5. National Surgical Adjuvant Breast and Bowel Project, Pittsburgh, PA; 6. Cleveland Clinic, Cleveland, OH 34 Stage II Colon Cancer: Overall Goal • To develop and validate a multi-gene expression assay which improves treatment decisions for patients with stage II colon cancer, providing: – Individualized assessment of recurrence risk following surgery – Identification of patients with differential 5FU/LV benefit – Independent clinical value in the context of other measures such as T-stage and MMR – Optimized for fixed, paraffin-embedded colon tumor tissue Kerr et al., ASCO® 2009, #4000 35 Clinical Validation of the Pre-specified Colon Cancer Assay: Stage II Colon Cancer Patients from QUASAR* Observation Parent QUASAR Trial Resected Stage II Colon Cancer Adjuvant treatment with 5FU/LV ● Enrolled 1994-2003, primarily from UK ● Parent study demonstrated 3-4% absolute benefit of adjuvant 5FU/LV for stage II disease (approximate 20% relative risk reduction) * Lancet 2007 370:2020-9 36 QUASAR: Evaluable Stage II Colon Cancer Patients Parent QUASAR study n=3,239 Patients with collected blocks n=2,197 (68%) 707 cases stage III and rectal cancer Confirmed stage II colon cancer n=1,490 (69%) Final evaluable population n=1,436 54 excluded (3.6%): 29 synchronous tumors 8 insufficient tissue 7 identifier queries 6 RNA quality/quantity 4 ineligible histology Kerr et al., ASCO® 2009, #4000 37 QUASAR: Demographics of 1,436 Evaluable Patients Characteristic Age Gender T Stage # Nodes Examined LVI Tumor Grade Tumor Type MMR Location Values <60 60 to <70 70+ Female T4 <12 ≥12 Present High Mucinous Deficient Right Surgery Alone (total = 711) N (%) 251 (35.3) 308 (43.3) 152 (21.4) 302 (42.5) 108 (15.3) 413 (62.9) 244 (37.1) 90 (12.7) 222 (31.2) 144 (20.3) 89 (13.6) 273 (46.9) Surgery + 5FU/LV (total = 725) N (%) 269 (37.1) 317 (43.7) 139 (19.2) 295 (40.7) 113 (15.7) 409 (61.0) 262 (39.0) 110 (15.2) 219 (30.2) 169 (23.3) 92 (14.1) 278 (46.2) Two Arms are Balanced Kerr et al., ASCO® 2009, #4000 38 QUASAR: 5FU/LV Chemotherapy Benefit in the 1,436 Evaluable Stage II Colon Cancer Patients DFSsurvival) DFS (disease-free 1.0 Proportion Event Free 1.0 0.8 0.6 0.4 0.2 0.0 Treatment 0 1 Surgery Chemo 2 3 4 0.8 0.6 0.4 0.2 0.0 Treatment 5 OS (OverallOS Survival) Years Proportion Event Free Proportion Event Free RFI (recurrence-free RFI interval) 0 Surgery 1 2 Chemo 3 4 5 Years 1.0 0.8 0.6 0.4 0.2 0.0 Treatment 0 1 Surgery 2 Chemo 3 Years 4 5 Kerr et al., ASCO® 2009, #4000 39 QUASAR: Pre-Specified Primary Endpoint: Recurrence Risk Is there a significant relationship between the risk of recurrence and the pre-specified continuous Recurrence Score® in stage II colon cancer patients randomized to surgery alone? RECURRENCE SCORE Calculated from Tumor Gene Expression STROMAL FAP INHBA BGN CELL CYCLE Ki-67 C-MYC MYBL2 GADD45B REFERENCE ATP5E GPX1 PGK1 UBB VDAC2 Kerr et al., ASCO® 2009, #4000 40 QUASAR Results: Colon Cancer Recurrence Score® Predicts Recurrence Following Surgery Prospectively-Defined Primary Analysis in Stage II Colon Cancer (n=711) Risk of Recurrence at 3 years 35% 30% 25% 20% 15% 10% p=0.004 5% | | ||||| | | | ||||||||||||| ||||||||||||||| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ||||||||||||||||||||||||||||| |||||||||||| || | || ||||||| | | | |||||| | 0% 0 10 20 30 40 50 60 70 Recurrence Score Kerr et al., ASCO® 2009, #4000 41 QUASAR Results: Recurrence Risk in Pre-specified Recurrence Risk Groups 1.0 Low Intermediate High Range of RS Proportion of patients <30 43.7% 30-40 30.7% ≥41 25.6% Comparison of High vs. Low Recurrence Risk Groups using Cox Model: HR = 1.47 (p=0.046) 0.8 Proportion Event Free Recurrence Risk Group 0.6 0.4 Recurrence Risk Group 0.2 Low 12% ( 9% -16%) Intermediate 18% 22% (13%-24%) High 0.0 0 n=711 1 Kaplan-Meier Estimates (95% CI) of Recurrence Risk at 3 years 2 (16%-29%) 3 4 5 Years Kerr et al., ASCO® 2009, #4000 42 QUASAR Results: Clinical/Pathological Covariates and Recurrence Pre-specified Multivariate Analysis, Surgery Alone Patients (n=605) Categories HR HR 95% CI 13% Deficient vs. 87 % Proficient 0.32 (0.15,0.69) <.001 15% T4 vs. 85% T3 1.83 (1.23,2.75) 0.005 Tumor Grade 29% High vs. 71% Low 0.62 (0.40,0.96) 0.026 Number of Nodes Examined 62% <12 vs. 38% >12 1.47 (1.01,2.14) 0.040 13% Present vs. 87% Absent 1.40 (0.88,2.23) 0.175 continuous per 25 units 1.61 (1.13,2.29) 0.008 Variable Mismatch Repair (MMR) T Stage Lympho -Vascular Invasion Recurrence Score® P value Kerr et al., ASCO® 2009, #4000 43 QUASAR Results: Recurrence Score® and Alternative Endpoints Disease Free Survival Overall Survival V a ria b le R S p e r 2 5 u n its V a ria b le R S p e r 2 5 u n its HR HR 95% CI P va lu e 1 .4 2 (1 .0 9 ,1.8 4 ) 0 .0 1 0 HR HR 95% CI P va lu e 1 .3 3 (1 .0 1 ,1.7 6 ) 0 .0 4 1 Kerr et al., ASCO® 2009, #4000 44 QUASAR Results: Prediction of Differential 5FU/LV Benefit for Treatment Score • Continuous Treatment Score and Treatment Benefit with 5FU/LV – Treatment Score by Treatment Interaction for RFI: interaction p = 0.19 • Selected Secondary Analyses – Treatment Score by Treatment Interaction not significant when adjusted for prognostic covariates – Treatment Score by Treatment Interaction not significant for DFS (interaction p=0.12) or OS (interaction p=0.15) Kerr et al., ASCO® 2009, #4000 45 Relationship of 5FU/LV Benefit to Recurrence Score® Prognostic, NOT predictive Risk For a prognostic score, what are the potential relationships of the score to chemo benefit? Risk Score Risk Prognostic AND predictive Score Score Risk Surgery Alone Prognostic AND predictive Surgery + Chemo Score 46 Relationship of 5FU/LV Benefit to Recurrence Score® : QUASAR Results Risk Prognostic, NOT predictive Score Prognostic AND predictive Risk Secondary Analysis in QUASAR Examination of Recurrence Score in surgery alone and 5FU/LV-treated patients: RS by Treatment interaction p=0.76 Score Risk Surgery Alone Prognostic AND predictive Surgery + Chemo Score 47 QUASAR Results: Relationship of 5FU/LV Benefit to Recurrence Score® • No significant difference in PROPORTIONAL benefit of chemotherapy was observed across the range of Recurrence Score from low RS through high RS • With similar relative risk reduction across the range of RS, patients at high RS would be expected to derive larger absolute benefit than patients at low RS • Assuming 20% relative risk reduction with 5FU/LV in stage II colon cancer, a patient with 25% recurrence risk would have that reduced to ~20% with 5FU/LV; a patient with 10% recurrence risk would be reduced to 8% with 5FU/LV QUASAR Results: Recurrence Score®, T Stage, and MMR Deficiency are Key Independent Predictors of Recurrence in Stage II Colon Cancer 48 Risk of Recurrence at 3 years 45% T4 and MMR proficient (13%) 40% 35% 30% 25% T3 and MMR proficient (74%) 20% 15% 10% 5% T3 and MMR deficient (11%) 0% 0 10 20 30 40 50 60 70 Recurrence Score Rare patients (2% of all patients) with T4, MMR-D tumors had estimated recurrence risks that approximated (with large confidence intervals) those for patients with T3 stage, MMR-P tumors and were not included in this figure. Kerr D, et al. ASCO 2009 #4000. Recurrence Score® (RS) Guideposts for Clinical Decision Making: T3, MMR-P Patients with RS ≥ 41 45% T4 and MMR proficient (13%) Risk of Recurrence at 3 years 40% 35% 30% 25% T3 and MMR proficient (74%) 20% 15% 10% 5% T3 and MMR deficient (11%) 0% 0 10 20 30 40 50 60 70 Recurrence Score This population of patients with high Recurrence Score disease (~25% of total) has recurrence risk which overlaps with T4 patients and would be expected to have >3% benefit with adjuvant 5FU. 49 Recurrence Score® (RS) Guideposts for Clinical Decision Making: T3, MMR-P Patients with RS < 30 45% T4 and MMR proficient (13%) Risk of Recurrence at 3 years 40% 35% 30% 25% T3 and MMR proficient (74%) 20% 15% 10% 5% T3 and MMR deficient (11%) 0% 0 10 20 30 40 50 60 70 Recurrence Score This population of patients with low Recurrence Score disease (~45% of total) has recurrence risk which is ≤ 15% and would be expected to have <3% benefit with adjuvant 5FU. 50 51 Summary: QUASAR Validation Study • The Recurrence Score® is a validated multi-gene RT-PCR clinical assay which independently and quantitatively predicts individual recurrence risk and provides additional clinical value beyond other available measures • These results strongly support a new paradigm for quantitative assessment of recurrence risk in stage II colon cancer, emphasizing the role of three measures, Recurrence Score, MMR/MSI, and T stage • The continuous RS will have the greatest clinical utility for T3, MMR-proficient patients, who constitute the majority of stage II colon cancer (~70% of pts) Oncotype DX® Colon Cancer Assay Patient Report 52 53 Conclusions • Currently, selection of stage II patients for chemotherapy treatment following surgery is based on a limited set of clinical and pathologic markers that are uninformative in the majority of patients, resulting in both over-treatment and under-treatment of patients with chemotherapy following surgery • The Oncotype DX® Colon Cancer Assay independently and quantitatively predicts individual recurrence risk and provides additional clinical value beyond other available measures, including number of nodes examined, T stage, lymphatic/vascular invasion, tumor grade, and MMR status, in stage II colon cancer patients following surgery. • The standardized Oncotype DX® Colon Cancer Assay provides accuracy and precision in predicting risk of recurrence for stage II colon cancer patients utilizing the proven technology of RT-PCR and fixed paraffin embedded colon cancer tissue • The Oncotype DX colon cancer Recurrence Score is the foundation of Genomic Health’s efforts in this disease and as with the Oncotype DX® breast cancer assay, Genomic Health is committed to enhancing the colon cancer franchise through additional studies over time 54 Acknowledgements QUASAR Study Team Laura Magill Kelly Handley Zoe Gray Claire Beaumont Rachel Midgley NSABP Study Team Joe Costantino Soon Paik Genomic Health Colon Team Kim Langone Rick Baehner Joffre Baker Margarita Lopatin Carl Yoshizawa Wayne Cowens Lauren Intagliata Claire Pomeroy Cleveland Clinic Study Team MRC, UK and CRUK for funding QUASAR trial Patients and investigators who participated in the NSABP, Cleveland Clinic, and QUASAR studies 55 APPENDIX 56 Tumor Grade Pathologic Markers and Recurrence Risk: Interaction with Stage in Development Studies Interaction of stage and covariate MMR p = 0.11 T Stage p = 0.07 Grade p = 0.005 Mucinous p = 0.11 0 1 Stage II 2 HR 3 4 Stage III Analysis of 634 stage II colon cancer patients (≥12 nodes examined) and 844 stage III colon cancer patients from NSABP C01/C02, C04, C06 and Cleveland Clinic studies O’Connell et al ASCO® GI 2010 abstr 280 PETACC-3: Prognostic Value by Stage Multivariate Analysis in whole population (n=1404) Markers Stage II HR§ p value* Stage III HR§ p value* T Stage (T4 vs T3) 2.8 0.0001 1.6 0.0006 N Stage (N2 vs N1) N/A N/A 2.2 <0.0001 Histologic Grade (3-4 vs 1-2) 0.6 0.55 1.4 0.07 Age (>60 vs ≤60) 1.8 0.026 1.1 0.3 MSI (High vs Stable) 0.3 0.027 0.7 0.12 p53 (High) 0.7 0.27 1.3 0.015 SMAD4 (any loss) 1.0 0.9 1.6 0.0002 Treatment, Sex, Site, KRAS, BRAF, TS, 18qLOH (Stage II: HR 1.4, p=0.33), hTERT: not significant * p values from the Wald test in a multiivariate Cox regression § HR = hazard ratio Adapted from Roth et al ASCO® 2009 59 Cleveland Clinic Study: Reproducibility of Tumor Grading • Tumor Grade: Using the two-tier scheme, agreement between the two pathologists was low in all patients and moderate if mucinous tumors were excluded. All patients with non- mucinous tumors All Patients P1 Grade P1 Grade P2 Grade Low High Total P2 Grade Low High Total Low 315 34 349 Low 315 34 349 High 98 55 153 High 13 33 46 Total 413 89 502 Total 328 67 395 Kappa = 0.30, 95% CI (0.21, 0.39) Kappa =0.52, 95% CI (0.40, 0.64) Lavery I, et al. ASCO GI 2011 #526. 60 Tumor Grade: Limited Utility for Risk Assessment in Stage II Colon Cancer • Stage-specific association with outcome • Data for tumor grade has historically come from studies of colon cancer with pooled stages • Larger series from Development studies, PETACC-3 demonstrate stage specificity. QUASAR with consistent finding of good prognosis with high grade in stage II • Conventional wisdom of high grade as poor prognostic factor does not apply in stage II disease • Lack of standardization and limited inter-pathologist reproducibility of tumor grading • Confounding relationship with MMR and mucinous histology • MMR-D tumors known to be more commonly right-sided, high grade, and have mucinous histology 61 Lymphovascular Invasion • Design: 6 GI pathologists • 50 stage II, moderately differentiated CRC • Assessment of H&E and IHC for D2-40 and CD31 (endothelial markers) • Results • Low concordance (kappa 0.18-0.28) with H&E • Minimal improvement with IHC (kappa 0.26-0.42) • Conclusion “Interobserver variability in diagnosis of LVI was substantial on H&E slides and did not improve upon use of IHC. Agreement in evaluation of large vessel invasion was only slightly higher than would be seen by chance alone. This study highlights the need for criteria in evaluation of LVI, as this assessment may impact patient prognosis and thus change the course of clinical treatment.” Am J Surg Pathol 2008, 32:1816 63 Challenges with Lymphovascular Invasion (LVI) as a Marker of Risk in Stage II Colon Cancer • Inter-observer concordance of LVI assessment is poor • To improve reproducibility, CAP recommends assessing at least 3 blocks (and optimally 5 blocks) of tumor at its point of deepest extent. In practice, this is unlikely to be achieved.* • At present, the pathologic evaluation of vessel invasion is not standardized, and pathology sampling practices vary widely on both individual and institutional levels* • Negative result with LVI in QUASAR likely reflects intrinsic variability in assessment of this marker *Compton. Clin Cancer Res. 2007;13(22 Suppl):6862s-6870s 64 18q Loss of Heterozygosity (18qLOH) 65 Large Studies Assessing 18qLOH in CRC (N>250) Author (Year) Number of Patients Finding Watanabe, 2001 279 HR = 2.75 (p=0.006)* Halling, 1999 508 NULL Barratt, 2002 314 NULL Roth, 2009 1404 NULL† Ogino, 2009 555 NULL * Not significant for stage II colon cancer Adapted from Fuchs, ASCO® 2009 PETACC-3: Impact of MMR status on Prognostic Value of 18qLOH in stage II disease Multivariate Analysis Markers Model without MMR/MSI Model with MMR/MSI HR [95% CI] P value T4 v. T3 2.34 [1.42 - 3.84] 0.00085 18qLOH 2.02 [1.03 - 3.96] 0.041 T4 v. T3 2.58 [1.56 - 4.28] 0.00024 MSI-H v. MSS 0.28 [0.10 - 0.72] 0.0089 18qLOH 1.37 [0.67 - 2.77] 0.38 Adapted from Roth et al ASCO® 2009 PETACC-3: Additional prognostic value of 18qLOH on MSS and MSI-H tumors in stage II disease • 18qLOH not prognostic in stage II MMR-P population • 18qLOH not assessable in MMR-D population due to low frequency P = 0.527 – 18% 18qLOH (9/51) Adapted from Roth et al ASCO® 2009 68 18qLOH as a Marker of Risk in Stage II Colon Cancer • Not supported by bulk of literature • In PETACC-3, 18qLOH not significant in multivariate model including T stage and MMR status • Prognostic value in univariate analyses may be attributable to inverse relationship with MMR status – MMR-D tumors are rarely 18qLOH and vice versa