1 / 53

MOLECULAR CLASSIFICATION OF COLON CANCER: IS IT READY FOR CLINICAL PRACTICE?

MOLECULAR CLASSIFICATION OF COLON CANCER: IS IT READY FOR CLINICAL PRACTICE?. Dr Omer Dizdar Hacettepe University Cancer Institute 6 th International Gastrointestinal Cancer Conference, 7-9 Dec 2018, Istanbul.

tam
Download Presentation

MOLECULAR CLASSIFICATION OF COLON CANCER: IS IT READY FOR CLINICAL PRACTICE?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. MOLECULAR CLASSIFICATION OF COLON CANCER: IS IT READY FOR CLINICAL PRACTICE? Dr Omer Dizdar Hacettepe University Cancer Institute 6th International Gastrointestinal Cancer Conference, 7-9 Dec 2018, Istanbul

  2. CRC carcinogenesis is the result of a stepwise accumulation of genetic events in oncogenes and tumor suppressor genes

  3. ONCOGENIC DRIVERS:Ras MUTATION • More than 50% of CRC tumors • Resistance to anti-EGFR mabs.

  4. BRAF mutation • 8% of patients with mCRC • Resistance to anti-EGFR Regimens and significantly worse survival • Targeted therapies evolving • BEACON TRIAL: Encorafinib + binimetinim + cetuximab ORR 48% • BRAF non-V600E mutations do not negatively affect patient prognosis

  5. HER2 amplifications • 2% in unselected patients • Primary resistance to anti-EGFR agents in the refractory setting • Response to HER2-targeted agents in mCRC

  6. ORR 30%

  7. MET Amplifications • Fewer than 2% of primary CRC tumors • ctDNA NGS in patients refractory to anti-EGFR treatment: as high as 20% • Resistance to anti-EGFR agents and BRAF inhibitor combinations

  8. Kinase Fusions • RAS and BRAF wild-type CRC cells resistant to EGFR blockade • Functionally “addicted” to other kinase genes, including ALK , ROS1 , NTRK1 , NTRK2 , NTRK3 , and RET • Case reports of exceptional responses to the ALK and TRK inhibitor entrectinibin fusion positive mCRC

  9. Microsatellite instability • The prevalence of MSI in the mCRC is 5% • Most patients have sporadic MLH1 loss via promoter methylation or biallelic somatic genomic alterations

  10. Hypermutated Many neoantigens • High infiltration of MSI tumors with CD8(+) cytotoxic T lymphocytes and activated Th1 cells • Susceptible to immune checkpoint inhibitors

  11. Overall response rate with nivolumab alone was 31% and with the combination regimen was 55%, with a 1-year PFS rate of 71%. • Responses rates not influenced by PD-L1 expression, BRAF mut. or genetic basis for MMR deficiency

  12. POLE mutation • MSS but has the highest mutation rates in CRC high neoantigenloads and tumor-infiltratinglymphocytes • Fewer than 1% of patients with early stage CRC • Favorable prognosis • Case report of response to pembrolizumab

  13. “MSI-like” gene expression signature • MSS (+) • Up to 10% of mCRC cases display an “MSI-like” phenotype • High mutation load • Response to checkpoint inhibitors?

  14. Mesenchymal or “TGFβ-Active” Signature • 25%–30% in mCRC • Reduced sensitivity to standard chemotherapies and anti-EGFR drugs • TGFβ-signaling inhibitors (galunisertib)? • Chaperone (HSP90) inhibitors? • Trials ongoing

  15. Between 2012 and 2014, 6 different classification systems developed in CRC

  16. Differences in • Discovery cohort patients • Gene exp. profiling platforms • Bioinformatics analyses and data interpretation Discrepent subtypes

  17. Colorectal cancer subtyping consortium (CRCSC) identifies consensus molecular subtypes Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  18. How many CRC subtypes? Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  19. CRC Subtyping Consortium Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  20. Population Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  21. Population Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  22. Slide 9 Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  23. How to define a Consensus Molecular Subtype (CMS)? Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  24. Results - network of subtypes Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  25. Results - network of samples Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  26. Results – distribution of subtypes Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  27. Results – clinical correlates Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  28. Results – clinical and molecular correlates Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  29. Results – molecular correlates Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  30. Results – mutation profile (n=2,386) Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  31. Results – pathway analysis (n=3,891) Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  32. Summary – clinical and molecular correlates Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  33. Slide 22 Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  34. Slide 23 Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  35. Slide 24 Presented By Rodrigo Dienstmann at 2014 ASCO Annual Meeting

  36. Making Sense of Consensus Molecular Subtypes (CMS) Presented By Wells Messersmith at 2017 ASCO Annual Meeting

  37. Abstracts Discussed Presented By Wells Messersmith at 2017 ASCO Annual Meeting

  38. Colorectal Cancer Trial Designs Presented By Wells Messersmith at 2017 ASCO Annual Meeting

  39. CMS subtype frequency Presented By Wells Messersmith at 2017 ASCO Annual Meeting

  40. CMS and Sidedness Presented By Wells Messersmith at 2017 ASCO Annual Meeting

  41. CMS and clinical features Presented By Wells Messersmith at 2017 ASCO Annual Meeting

  42. Agreement with CMS (2015 publication) Presented By Wells Messersmith at 2017 ASCO Annual Meeting

  43. Agreement with CMS (2015 publication) Presented By Wells Messersmith at 2017 ASCO Annual Meeting

  44. Cetuximab vs Bevacizumab Presented By Wells Messersmith at 2017 ASCO Annual Meeting

  45. FOLFIRI cetuximab vs. FOLFIRI bevacizumab FIRE3 Presented By Sebastian Stintzing at 2017 ASCO Annual Meeting

  46. CMS subtypes in 3 large clinical trials recapitulate 2015 classification by Guinney et al. • Prognostic • NOT predictive for FOLFOX vs FOLFIRI • NOT predictive for cetuximabvsbevacizumab except for CMS1 • Overlap between CMS and current clinical subgroups not perfect (RAS, BRAF, MSI)

  47. CMS- CHALLENGES • Transcriptomic subtyping alone cannot capture heterogenity of disease • Multi-omic data (DNA methylation, proteomics) more accurate classification • Consensus with emphasis on the role of individual genesLack of incorporation of biological knowledge • Effective bioinformatic integration of multi-omic data for classification • Gene expression profiling affected by technical platform variations

More Related