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Genomic predictors: what are the data ?  Fabrice ANDRE, MD PhD Institut Gustave Roussy,  Villejuif, France
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Genomic predictors for prognostic purpose ,[object Object],[object Object],[object Object]
8 8 RS  = + 0.47 x  HER2 Group Score  - 0.34 x ER Group Score  + 1.04 x Proliferation Group Score  + 0.10 x Invasion Group Score  + 0.05 x CD68 - 0.08 x GSTM1 - 0.07 x BAG1 Onco type DX ™ 21 - Gene  Recurrence Score (RS) Assay PROLIFERATION Ki - 67 STK15 Survivin Cyclin B1 MYBL2 ESTROGEN ER PR Bcl2 SCUBE2 INVASION Stromelysin 3 Cathepsin L2 HER2 GRB7 HER2 BAG1 GSTM1 REFERENCE Beta - actin GAPDH RPLPO GUS TFRC CD68 16 Cancer and 5 Reference Genes From 3 Studies RS  > 31 High risk RS  > 18 and <31 Int risk RS <18 Low risk RS (0 - 100) Category
Oncotype DX: Validation I: ER-positive disease (NSABP-B14) Paik NEJM 2004
Oncotype DX:  Validation II (NSABP-B20) Paik, JCO, 2006 RS<18 18<RS<31 RS>31
Predictive value for efficacy of adjuvant chemotherapy Concordant data with SWOG 8814 (Albain, Lancet Oncol, 2009) Paik, JCO, 2006 Interaction test,  p=0.038 NSABP-B20 trial
Oncotype: Summary of data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Mammaprint 70 genes signature  Associated with high risk of metastatic relapse
Performances Mammaprint: Validation I Node-negative Van de Vijvers, NEJM, 2002
Performances Mammaprint: Validation II Buyse, JNCI, 05
Mammaprint: Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Genomic grade 97 genes
Genomic Grade: Validation I
Genomic Grade: validation II HR:2.5 (1.2-4.9)
Genomic grade: summary ,[object Object],[object Object]
Overall summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Levels of evidence (Simon-Hayes) Consistent retrospective data from prospective clinical studies  could define a level I evidence…. pending a prospective validation, like observational cohort (speaker’s opinion)
Does Recurrence score add to conventional parameters ? I: adjuvant online  Recurrence score is adding information to AOL Tang, BCRT
Does Recurrence score add to conventional parameters ? I: « optimal » IHC score (ER, PR, Her2, KI67) Since RS includes ER, PR, Her2 and KI67, does it provide additional information ?
Correlation between RS and (ER, PR, Her2, proliferation) RS correlates with standard pathological parameters but… the level of correlation is not high
Comparison between RS and IHC4
Does RS provide additional information as compared to standard parameters ? Comparison with AOL: Yes Comparison with ER/PR/Her2/KI67 : this is NOT the righ question since:   the level of evidence for KI67 is not I, at least for the prediction to adjuvant chemotherapy (speaker’s opinion) Current status : the equivalency between RS and (ER,PR,Her2,KI67), together with the predictive value of KI67 are still research hypotheses
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Potential solutions to capture specific information  that would encompass ER, He2, Ki67 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Illustration: Identification of prognostic signature within Her2+ BC Staaf, JCO, 2010 ,[object Object],[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Genomic predictors for treatment efficacy: Conventional treatment Predictor  Treatment  Reference Stroma metagene  chemotherapy  Farmer, Nat Med TOP2A metagene  anthracyclines  Desmedt, ASCO DLD30  paclitaxel > FAC  Hess, J Clin Oncol SET index  endocrine therapy  Symmans, J Clin Oncol MX1 metagene  anthracyclines  Andre, ASCO
Genomic predictors for treatment efficacy: targeted therapies Functional pathways Target detection Quantification of PI3K activation / GE array Loi, PNAS, 2010 B. Hennessy, CCR, 09
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Current model Academic hospital Tumor block Multiplex assay: CLIA lab or biomarker company Limitation: multiplicity of multigene assays will make non feasible the outsoursing Solution: run whole genome arrays in academic centers (with reimbursement of IP)
Are whole genome arrays feasible in the context of daily practice ?
Genomic driven chemotherapy:  REMAGUS 04 trial Breast adenocarcinoma Conservative surgery  not feasible FEC > Docetaxel Primary endpoint:  pCR Secondary endpoint :  feasibility of whole genome array in academic centers in the context of daily practice Funding: French NCI DLD30+:  Paclitaxel >FEC DLD30-/TOP2A+:  FEC>docetaxel DLD30-/TOP2A-:  Docetaxel / cape RNA extraction, QC, hybridization Affy U133plus2, bioinformatics If QC genomic: inclusion
Remagus04 Trial :  January-September  2009 <10% if biopsy is guided  by ultrasonography Necessary ?  Current status: N=200 Interim analysis
Robustness: comparison between ER status and ESR1 expression 205225_at  Gene expression array is accurate to define ER status in the context of daily practice MD Anderson correlation Remagus04 Correlation Oestrogen receptor:ESR1 Receptor status Probeset Receptor status Probeset 205225_at 0,77 1·00 0,80 1,00 211233_x_at 0,53 0,78 0,60 0,71 211234_x_at 0,38 0,62 0,56 0,62 211235_s_at 0,55 0,79 0,50 0,63 211627_x_at 0,17 0,05 0,07 0,14 215551_at – 0,12 – 0,06 0,49 0,61 215552_s_at 0,62 0,8 0,54 0,70 217163_at – 0,21 – 0,14 0,18 0,21 217190_x_at 0,47 0,61 0,48 0,58
SAFIR01 trial Phase I/II FGFR1 inh Rare events Phase I Phase II NOTCH inh Started or to start soon Under discussion Prospective evaluation of Integrated biology  for treatment decision  Cooperative group (FNCLCC) Biopsy of metastatic sites Frozen sample CGH / hot spot mutations (PIK3CA/AKT) n=400 PAK inh PAK1 amp Molecular screening: Which candidate target ? Clinical trials:  Is the target relevant ? FGFR1 FGFR2 FGF4 amp Phase II PI3K inh Or  everolimus NOTCH amp Phase II CBDCA +/-  BSI201 Genetic instability PAK1 ampli PIK3CA / AKT / PTEN alteration bevacizumab VEGFA  amplification Others Funding: French NCI
SAFIR01 trial: logistics Patient inclusion DNA extraction Hybridization Hot spot mutations Target identification Quantification genetic instability Weekly tumor board Investigation  center Genomic unit Curie (Affy 6.0) Genomic unit Gustave roussy (Agilent 4*44) Genomic unit Lyon (Affy 6.0) Bioinformatics Gustave Roussy
Conclusion ,[object Object],[object Object],[object Object],[object Object]
 

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Gene Profiling in Clinical Oncology - Slide 9 - F. André - Genomic evaluation: what are the data?

  • 1. Genomic predictors: what are the data ? Fabrice ANDRE, MD PhD Institut Gustave Roussy, Villejuif, France
  • 2.
  • 3.
  • 4. 8 8 RS = + 0.47 x HER2 Group Score - 0.34 x ER Group Score + 1.04 x Proliferation Group Score + 0.10 x Invasion Group Score + 0.05 x CD68 - 0.08 x GSTM1 - 0.07 x BAG1 Onco type DX ™ 21 - Gene Recurrence Score (RS) Assay PROLIFERATION Ki - 67 STK15 Survivin Cyclin B1 MYBL2 ESTROGEN ER PR Bcl2 SCUBE2 INVASION Stromelysin 3 Cathepsin L2 HER2 GRB7 HER2 BAG1 GSTM1 REFERENCE Beta - actin GAPDH RPLPO GUS TFRC CD68 16 Cancer and 5 Reference Genes From 3 Studies RS > 31 High risk RS > 18 and <31 Int risk RS <18 Low risk RS (0 - 100) Category
  • 5. Oncotype DX: Validation I: ER-positive disease (NSABP-B14) Paik NEJM 2004
  • 6. Oncotype DX: Validation II (NSABP-B20) Paik, JCO, 2006 RS<18 18<RS<31 RS>31
  • 7. Predictive value for efficacy of adjuvant chemotherapy Concordant data with SWOG 8814 (Albain, Lancet Oncol, 2009) Paik, JCO, 2006 Interaction test, p=0.038 NSABP-B20 trial
  • 8.
  • 9. Mammaprint 70 genes signature Associated with high risk of metastatic relapse
  • 10. Performances Mammaprint: Validation I Node-negative Van de Vijvers, NEJM, 2002
  • 12.
  • 15. Genomic Grade: validation II HR:2.5 (1.2-4.9)
  • 16.
  • 17.
  • 18. Levels of evidence (Simon-Hayes) Consistent retrospective data from prospective clinical studies could define a level I evidence…. pending a prospective validation, like observational cohort (speaker’s opinion)
  • 19. Does Recurrence score add to conventional parameters ? I: adjuvant online Recurrence score is adding information to AOL Tang, BCRT
  • 20. Does Recurrence score add to conventional parameters ? I: « optimal » IHC score (ER, PR, Her2, KI67) Since RS includes ER, PR, Her2 and KI67, does it provide additional information ?
  • 21. Correlation between RS and (ER, PR, Her2, proliferation) RS correlates with standard pathological parameters but… the level of correlation is not high
  • 23. Does RS provide additional information as compared to standard parameters ? Comparison with AOL: Yes Comparison with ER/PR/Her2/KI67 : this is NOT the righ question since: the level of evidence for KI67 is not I, at least for the prediction to adjuvant chemotherapy (speaker’s opinion) Current status : the equivalency between RS and (ER,PR,Her2,KI67), together with the predictive value of KI67 are still research hypotheses
  • 24.
  • 25.
  • 26.
  • 27.
  • 28. Genomic predictors for treatment efficacy: Conventional treatment Predictor Treatment Reference Stroma metagene chemotherapy Farmer, Nat Med TOP2A metagene anthracyclines Desmedt, ASCO DLD30 paclitaxel > FAC Hess, J Clin Oncol SET index endocrine therapy Symmans, J Clin Oncol MX1 metagene anthracyclines Andre, ASCO
  • 29. Genomic predictors for treatment efficacy: targeted therapies Functional pathways Target detection Quantification of PI3K activation / GE array Loi, PNAS, 2010 B. Hennessy, CCR, 09
  • 30.
  • 31. Current model Academic hospital Tumor block Multiplex assay: CLIA lab or biomarker company Limitation: multiplicity of multigene assays will make non feasible the outsoursing Solution: run whole genome arrays in academic centers (with reimbursement of IP)
  • 32. Are whole genome arrays feasible in the context of daily practice ?
  • 33. Genomic driven chemotherapy: REMAGUS 04 trial Breast adenocarcinoma Conservative surgery not feasible FEC > Docetaxel Primary endpoint: pCR Secondary endpoint : feasibility of whole genome array in academic centers in the context of daily practice Funding: French NCI DLD30+: Paclitaxel >FEC DLD30-/TOP2A+: FEC>docetaxel DLD30-/TOP2A-: Docetaxel / cape RNA extraction, QC, hybridization Affy U133plus2, bioinformatics If QC genomic: inclusion
  • 34. Remagus04 Trial : January-September 2009 <10% if biopsy is guided by ultrasonography Necessary ? Current status: N=200 Interim analysis
  • 35. Robustness: comparison between ER status and ESR1 expression 205225_at Gene expression array is accurate to define ER status in the context of daily practice MD Anderson correlation Remagus04 Correlation Oestrogen receptor:ESR1 Receptor status Probeset Receptor status Probeset 205225_at 0,77 1·00 0,80 1,00 211233_x_at 0,53 0,78 0,60 0,71 211234_x_at 0,38 0,62 0,56 0,62 211235_s_at 0,55 0,79 0,50 0,63 211627_x_at 0,17 0,05 0,07 0,14 215551_at – 0,12 – 0,06 0,49 0,61 215552_s_at 0,62 0,8 0,54 0,70 217163_at – 0,21 – 0,14 0,18 0,21 217190_x_at 0,47 0,61 0,48 0,58
  • 36. SAFIR01 trial Phase I/II FGFR1 inh Rare events Phase I Phase II NOTCH inh Started or to start soon Under discussion Prospective evaluation of Integrated biology for treatment decision Cooperative group (FNCLCC) Biopsy of metastatic sites Frozen sample CGH / hot spot mutations (PIK3CA/AKT) n=400 PAK inh PAK1 amp Molecular screening: Which candidate target ? Clinical trials: Is the target relevant ? FGFR1 FGFR2 FGF4 amp Phase II PI3K inh Or everolimus NOTCH amp Phase II CBDCA +/- BSI201 Genetic instability PAK1 ampli PIK3CA / AKT / PTEN alteration bevacizumab VEGFA amplification Others Funding: French NCI
  • 37. SAFIR01 trial: logistics Patient inclusion DNA extraction Hybridization Hot spot mutations Target identification Quantification genetic instability Weekly tumor board Investigation center Genomic unit Curie (Affy 6.0) Genomic unit Gustave roussy (Agilent 4*44) Genomic unit Lyon (Affy 6.0) Bioinformatics Gustave Roussy
  • 38.
  • 39.