Genomics-Driven Precision Medicine for Advanced Pancreatic Cancer: Early Results from the COMPASS Trial

Kyaw Aung(Princess Margaret Cancer Centre), Sandra E. Fischer(University Health Network), Robert E. Denroche(Ontario Institute for Cancer Research), Gun-Ho Jang(Ontario Institute for Cancer Research), Anna Dodd(Princess Margaret Cancer Centre), Sean Creighton(Princess Margaret Cancer Centre), Bernadette Southwood(Princess Margaret Cancer Centre), Sheng‐Ben Liang(University Health Network), Dianne Chadwick(University Health Network), Amy Zhang(Ontario Institute for Cancer Research), Grainne M. O’Kane(Princess Margaret Cancer Centre), Hamzeh Albaba(Princess Margaret Cancer Centre), Shari Moura(Princess Margaret Cancer Centre), Robert C. Grant(Princess Margaret Cancer Centre), Jessica K. Miller(Ontario Institute for Cancer Research), Faridah Mbabaali(Ontario Institute for Cancer Research), Danielle Pasternack(Ontario Institute for Cancer Research), Ilinca M. Lungu(Ontario Institute for Cancer Research), John M.S. Bartlett(Ontario Institute for Cancer Research), Sangeet Ghai(University Health Network), Mathieu Lemire(Ontario Institute for Cancer Research), Spring Holter(Lunenfeld-Tanenbaum Research Institute), Ashton A. Connor(Ontario Institute for Cancer Research), Richard A. Moffitt(University of North Carolina at Chapel Hill), Jen Jen Yeh(University of North Carolina at Chapel Hill), Lee E. Timms(Ontario Institute for Cancer Research), Paul M. Krzyzanowski(Ontario Institute for Cancer Research), Neesha C. Dhani(Princess Margaret Cancer Centre), David W. Hedley(Princess Margaret Cancer Centre), Faiyaz Notta(Ontario Institute for Cancer Research), Julie M. Wilson(Ontario Institute for Cancer Research), Malcolm J. Moore(BC Cancer Agency), Steven Gallinger(Ontario Institute for Cancer Research), Jennifer J. Knox(Princess Margaret Cancer Centre)
Clinical Cancer Research
December 29, 2017
Cited by 632Open Access
Full Text

Abstract

Abstract Purpose: To perform real-time whole genome sequencing (WGS) and RNA sequencing (RNASeq) of advanced pancreatic ductal adenocarcinoma (PDAC) to identify predictive mutational and transcriptional features for better treatment selection. Experimental Design: Patients with advanced PDAC were prospectively recruited prior to first-line combination chemotherapy. Fresh tumor tissue was acquired by image-guided percutaneous core biopsy for WGS and RNASeq. Laser capture microdissection was performed for all cases. Primary endpoint was feasibility to report WGS results prior to first disease assessment CT scan at 8 weeks. The main secondary endpoint was discovery of patient subsets with predictive mutational and transcriptional signatures. Results: Sixty-three patients underwent a tumor biopsy between December 2015 and June 2017. WGS and RNASeq were successful in 62 (98%) and 60 (95%), respectively. Genomic results were reported at a median of 35 days (range, 19–52 days) from biopsy, meeting the primary feasibility endpoint. Objective responses to first-line chemotherapy were significantly better in patients with the classical PDAC RNA subtype compared with those with the basal-like subtype (P = 0.004). The best progression-free survival was observed in those with classical subtype treated with m-FOLFIRINOX. GATA6 expression in tumor measured by RNA in situ hybridization was found to be a robust surrogate biomarker for differentiating classical and basal-like PDAC subtypes. Potentially actionable genetic alterations were found in 30% of patients. Conclusions: Prospective genomic profiling of advanced PDAC is feasible, and our early data indicate that chemotherapy response differs among patients with different genomic/transcriptomic subtypes. Clin Cancer Res; 24(6); 1344–54. ©2017 AACR.


Related Papers

No related papers found

Powered by citation graph analysis