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Gene Profiling in Clinical Oncology 8-9 April 2011 Viareggio, Italy New markers to define NSCLC and the potential of genomics L.Lacroix  PharmD PhD Institut Gustave Roussy, Villejuif, FR Friday, 8 April 2011
[object Object],Males Females Current smokers in France IARC 2008; INSERM 2007   Sun S et al, Nature Can Rev 2007 32 % 21% 15 Millions people CANCER France Europe World Incidence Mortality Prevalence 320 000 144 000 800 000 2 600 000 1 600 000 8 000 000 12 000 000 7 600 000 28 000 000
[object Object],Clinical  parameters Anatomo Histological parameters Histological microscopic parameters
Patient background heterogeneity Tumor molecular  heterogeneity Cancer is  a gene disease
[object Object],[object Object],Wistuba WIN2009
What we do currently… ,[object Object],[object Object],The Challenge…… Who to treat? How to treat?
Goals of tailoring therapy according to predictive markers Other treatments Gandara R, et al. J Clin Oncol, 2007: Abst 7500 Responders with standard therapy Non responders Toxicity Patients with same diagnosis Improve therapy
[object Object],Hanahan, Weineberg Cell 2011
[object Object],Hanahan, Weineberg Cell 2011
[object Object],[object Object],[object Object],Proteomic Mass Spec. RPPA,  Antibody µA, TMA Structural Genomic  (Copies Nb or Structure) CGH µA; methylation µA, Sequencing approach Functional  Genomic GE µA ; Q-PCR
[object Object],Ding et al. Nature 455, 1069, 2008
[object Object]
[object Object],Herbst NJEM 2008 gefitinib erlotinib
[object Object],[object Object],2000 2002 2004 2006 2008 2010 Trial results EGFR Mutations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Herbst NJEM 2008
Lynch et al. NEJM Pao et al. PNAS ,[object Object],Weinberg, book 2006
Mutations FISH Hirsch, J Clin Oncol 2006 Response biomarkers
[object Object],Mitsudomi et al, IASLC 2007, Abstract Mutations  EGFR  and response (N=1335)
IPASS study  (Mok TS et al. NEJM 2009)
McDermott, U. et al. J Clin Oncol; 27:5650-5659 2009 ,[object Object],Mut
[object Object],[object Object]
Engelmann et al. 2006  Bean et al. PNAS 2007 In resistant tumors 9/43  (21%) Met amplification  20/43  (47%)  T790M  (4 with Both ) (In Naïve tumor 2/62 (3%) Met Amp and 0/62 T790M )
[object Object],Sharma et al. Nat Rev Cancer 2007 http:// www.somaticmutations-egfr.info /
[object Object],Sun S et al, Nature Can Rev 2007 Ding et al, Nature 2008 MUT WT ,[object Object]
[object Object],CR + PR SD + PD Sun S et al, Nature reviews cancer 2007 R NR
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Loriot S et al, Nature Rev Clin Onco 2009
[object Object],1. Inamura K et al. J Thorac Oncol 2008;3:13–17  2. Soda M et al. Proc Natl Acad Sci U S A 2008;105:19893–19897 Figure based on: Chiarle R et al. Nat Rev Cancer 2008;8(1):11–23  Mossé YP et al. Clin Cancer Res 2009;15(18):5609–5614; and Data on file. Pfizer Inc.   *Subcellular localization of the ALK fusion gene, while likely to occur in the cytoplasm, is not confirmed. 1,2 Or ALK ALK  fusion protein* Cell survival Tumor cell proliferation ,[object Object],[object Object],[object Object],[object Object],[object Object],Inversion Translocation
[object Object],AT Shaw et al. JCO 20093
[object Object],[object Object],[object Object],[object Object],Cellular selectivity on 10 of 13 relevant hits Upstate 102 kinase 13 kinase “hits” <100X selective for  c-MET *The cellular kinase activities were  measured using ELISA capture method Pfizer Inc. Data on file Crizotinib  (PF-02341066) Kinase IC 50  (nM) mean*  Selectivity ratio c-MET 8 – ALK 20 2X RON 298 34X 189 22X Axl 294 34X 322 37X Tie-2 448 52X Trk A 580 67X Trk B 399 46X Abl 1,159 166X IRK 2,887 334X Lck 2,741 283X Sky >10,000 >1,000X VEGFR2 >10,000 >1,000X PDGFR  >10,000 >1,000X
[object Object],Part 2: Molecularly enriched cohorts (ALK and c-MET) ,[object Object],[object Object],[object Object],Part 1: Dose escalation 1 DLT: grade 3 ALT elevation 2 DLTs: grade 3 fatigue ALT = alanine aminotransferase Cohort 1 (n=3) 50 mg QD Cohort 2 (n=4) 100 mg QD Cohort 3 (n=8) 200 mg QD Cohort 4 (n=7) 200 mg BID Cohort 5 (n=6) 300 mg BID Cohort 6 (n=9) 250 mg BID MTD/RP2D
[object Object],Kwak et al. NEJM 2010 1500 screened=>82 pos. & treated  and 77%continued after data cuttoff
NSCLC Patient with ALK amplification/polysomy ,[object Object],[object Object],Besse  in progress
[object Object],Choi et al. NEJM 2010
[object Object],Weiss et al. Science Transla Med  2010
[object Object],[object Object],Dose dependent Growth inhibition in vitro & in vivo Apoptosis induction   Weiss et al. Science Transla Med  2010
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],HER2 ,[object Object],HER4 Wang et al. Cancer Cell 2006
[object Object],PIK3CA-Akt-mTor pathway ,[object Object],[object Object],BRAF ,[object Object],[object Object],Capuzzo et al. 2005 ; Daniele et al. 2007 Yamamoto et al. Can Res 2008
[object Object],LKB1 ,[object Object],[object Object],[object Object],[object Object],[object Object],MET ,[object Object],[object Object],[object Object]
[object Object],Molecular alteration Frequency EGFR mutation 10% EML4-ALK translocation 3-5 % HER 2 alteration 2% PI3K mutation 2% MET amplification 1% RAS and RAF mutation 3-30% Sorafenib, GSK 1120212 AS703026, AZD 6244 XL184, ARQ 197 GDC-0941; XL-147  XL-765 ;  PX-866 BEZ-235; BKM120 Trastuzumab New Pan-HER Crizotinib Erlotinib, gefitinib New pan-HER Drug
[object Object],[object Object],[object Object],New Biomarker grant for  Prospective evaluation in 2011 10 000 tests expected Cancer Target Lung EGFR KRAS HER2 exon 20  BRAF PI3KCA t EML4-ALK CCR KRAS BRAF MSI Breast amplification HER2 BRCA1/2 PI3KCA / AKT1 Melanoma BRAF cKIT
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],*autorisation for temporary use delivered by AFSSAPS (French drug agency) ,[object Object]
[object Object],Ding et al. Nature 455, 1069, 2008
33% unknown or unfrequent abnormalities pangenomic analysis Unknown therapeutic impact  Xxx? markers (FISH/Mut°) 33% Trials 3 markers EGFR/KRAS/ALK Approval or Trials 33%
DNA microarray  (Gene Expression/miRNA/CGHa…) Marqueurs tumoraux ,[object Object]
[object Object],N =Normal/ADC=Adenocarcinomas/SQ =Squamous cell Carcinomas/COIID=Carcinoïd/SMLC=small cell lung carcinomas Molecular classification in accordance to histology  ADC molecular subtypes Bhattacharjee A et al. PNAS,2001   (17N,139 ADC, 21SQ, 20COIID,6SMLC) AffyU95Av2 12 600 gènes Garber ME et al. PNAS,2001  (5 N, 40ADC, 13SQ, 4LCL, 4SMCL) cDNA 24 000 gènes Beer DJ et al. Nature Medicine,2002  (10 N, 86 ADC,) AffyHuGeneFL  6 800 gènes  Molecular subtypes of ADC associated to various prognostics.
[object Object],Meta-analysis of  231 ADC  (31 Stanford, 72 Michigan, and 128 Dana-Farber) Identification of molecular subtypes of ADC by comparison with gene profile of histology (BAC,SCC, LCLC).  Hayes DN et al. JCO 2006  (1) ADC  Bronchoïds  (33% to 52% of samples), EGFR mutated15%, 75% with BAC component.  Gene expression related to  Cell growth, differentiation, cellular survival. (2) ADC  Squamoïds  (33% to 52%  of samples ), EGFR mutated15%,Gene expression related to angiogenesis (HIF1a pathway), TGFb pathway and  WNTsignalisation pathway (3) ADC  Magnoïds  (10% to 26%  of samples ), 1/33 EGFR mutation, Gene expression related to inflammation, cytoskeleton,  metabolism and proliferation. IHC  AU et al. J.Path 2004
[object Object],Lau et al. JCO 2009 158genes 3 Stage I  Toronto dataset Stage I  Duke data set Stage I  Havard data set
[object Object],Many more……need prospective Phase III validation Source Gene Signature Beer D, et al Nature Medicine, 2002 56 Gene Signature Potti A, et al NEJM, 2006 (retired 2011) Metagene Profile Lu, Y et al PLOS Medicine, 2007 64 Gene Cox Signature Lau SK, et al JCO, 2007 3 Gene Signature Chen, et al NEJM, 2007 5 Gene Tree Classification Shedden K et al Nat Med, 2008  NCI Director’s Challenge Multiple Gene Sets Tsao M, et al ASCO, 2008* 15 Gene Signature
[object Object],Bild et al. Nat Med2006
Subramanian & Simon JNCI 2010 Chen, et al NEJM, 2007 Lau SK, et al JCO, 2007 Stg IA Stg IB Stg IA Stg IB 3 years survival among groups Validation of 5 genes and 3 genes signature on Shedden et al. large data set
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],Adequate Biopsies  Inadequate Biopsies  Squamous Cell Ca Adenocarcinoma Necrosis Fibrosis
[object Object],Quality  of nucleic acid FISH and/or frozen
Discrepancies between the primary tumor and its metastases  even when they are synchronous Italiano Ann Oncol 2006 Gow Ann Oncol 2007 Bozzetti  JTO 2008 Kalikaki BJC 2008 Gomez Roca JTO 2009 ,[object Object]
[object Object],samples from resected NSCLC or from 1st-line metastatic biopsies The molecular portrait on   diagnosis material … not predict for  molecular portrait  of the current disease … . is not appropriate for studying the behavior of 2nd/3rd line meta NSCLC
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
 
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
[object Object],Harber et al. Cell, 2011
[object Object],Authorities : Benefice/Risk/Cost for population Health Care provider : Benefice/Risk/ for patients Patient : Benefice/Risk for personal value

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Gene Profiling in Clinical Oncology - Slide 4 - L. Lacroix - New markers to define NSCLC and the potential of genomics (part 2)

  • 1. Gene Profiling in Clinical Oncology 8-9 April 2011 Viareggio, Italy New markers to define NSCLC and the potential of genomics L.Lacroix PharmD PhD Institut Gustave Roussy, Villejuif, FR Friday, 8 April 2011
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  • 4. Patient background heterogeneity Tumor molecular heterogeneity Cancer is a gene disease
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  • 7. Goals of tailoring therapy according to predictive markers Other treatments Gandara R, et al. J Clin Oncol, 2007: Abst 7500 Responders with standard therapy Non responders Toxicity Patients with same diagnosis Improve therapy
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  • 17. Mutations FISH Hirsch, J Clin Oncol 2006 Response biomarkers
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  • 19. IPASS study (Mok TS et al. NEJM 2009)
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  • 22. Engelmann et al. 2006 Bean et al. PNAS 2007 In resistant tumors 9/43 (21%) Met amplification 20/43 (47%) T790M (4 with Both ) (In Naïve tumor 2/62 (3%) Met Amp and 0/62 T790M )
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  • 44. 33% unknown or unfrequent abnormalities pangenomic analysis Unknown therapeutic impact Xxx? markers (FISH/Mut°) 33% Trials 3 markers EGFR/KRAS/ALK Approval or Trials 33%
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  • 51. Subramanian & Simon JNCI 2010 Chen, et al NEJM, 2007 Lau SK, et al JCO, 2007 Stg IA Stg IB Stg IA Stg IB 3 years survival among groups Validation of 5 genes and 3 genes signature on Shedden et al. large data set
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Editor's Notes

  1. 10 septembre 2006
  2. 10 septembre 2006
  3. Lung cancer pathogenesis is also quite complicated through multiple molecular pathways destined to develop invasive NSC or SC lung cancer. Just example about 10 %of lung cancer patients comes from non-smokers through mutation of EGFR and rather small fraction of Adenocarcinoma preceded by AAH through RAS mutation and also rather large fraction of Adenoca comes from without clear preneoplastic lesions that is quite perplexing. And also squamous cell carcinoma can be preceded by bronchial dysplasia and /or angiogenesis and chronic inflammation through COPD. Finally mutation of P53 and other multiple genetic changes progress to develop small cell cancer
  4. 10 septembre 2006
  5. 10 septembre 2006
  6. 10 septembre 2006
  7. Molecular analysis of EML4-ALK breakpoints The break-apart FISH assay detects disruption of the ALK locus but it does not confirm that EML4 is the partner fusion gene. Therefore, RT-PCR was used to analyze the exon breakpoints in 31 ALK FISH-positive cases. Using this technique, the most frequently identified genotype was exon 13 of EML4 fused to exon 20 of ALK. This was present in 12 out of 29 cases or 41%. (Note that two cases failed the analysis.) Other breakpoints included EML4 at exon 6, alternative exon 6b, exon 18, and exon 20. An EML4-ALK fusion transcript could not be identified in nine cases, suggesting that either alternative EML4 exons were involved or that EML4 was not the ALK fusion partner. Unfortunately, there were insufficient data to correlate EML4-ALK breakpoint with smoking history or response rate. One heavy smoker among the responding patients, No obvious correlation between IHC ALK expression signal (last row), ALK positivity by FISH, breakpoint and clinical outcome
  8. 10 septembre 2006
  9. Les premières grosses études datent des années 2001 avec la publication de 3 grosses cohortes (Harvard_Bhattacharjee/Stanford_Garber/Michigan_Beer) Ces premières études montrent une bonne concordance entre les types histologiques (SCLC/ADC/Ep./Norm…) On note également l’existence de sous groupes moléculaires pour le ADC.
  10. De nombreuses études ont été publiés à partir de ré-analyse des données précédemment citées. Une métanalyses de données des ces 3 études permet de pooler tout les résultats. En comparant les profils d’expression des gènes on peut rapprocher chaque groupe d’un autre type histologique.
  11. De plus ces groupes présentent des pronostics différents , plus particulièrement pour les stades I/II.
  12. Hétérogénéité tumorale : zones de nécroses, de tissus normal et parfois tumeurs mixte (ADK+SCC ou CBNPC + CPC…) ; d’où l’importance d’une vision ‘globale’ de la tumeur Les différentes techniques ont des impératifs de ‘minimum tissulaire’ pour être réalisée. Lorsque le diagnostic est porté par cytologie, peu d’études complémentaires pourront être proposées. Le Fixateur Bouin a été beaucoup utilisé en France, il l’est de moins en moins. Il colore les tissus en jaune car il contient, en plus du formol, de l’acide picrique qui endommage l’ADN+++ et inhibe les enzymes utilisé dans les réactions de PCR. Les études de biologies moléculaires sont alors difficiles ou impossibles.