Spectrum of Response to Platinum and PARP Inhibitors in Germline BRCA–Associated Pancreatic Cancer in the Clinical and Preclinical Setting

Chani Stossel, Maria Raitses-Gurevich, Dikla Atias, Tamar Beller, Yulia Glick Gorman, Sharon Halperin, Eyal Peer, Robert E. Denroche, Amy Zhang, Faiyaz Notta, Julie M. Wilson, Grainne M. O’kane, Elina Haimov Talmoud, Nora Amison, Michael Schvimer, Seth J. Salpeter, Vered Bar, Adi Zundelevich, Itay Tirosh, Rotem TalGal Dinstag, Yaron Kinar, Yonatan Eliezer, Uri Ben-David, Nancy S. Gavert, Ravid Straussman, Steven J. Gallinger, Raanan Berger, Talia Golan

Research output: Contribution to journalArticlepeer-review

Abstract

Germline BRCA–associated pancreatic ductal adenocarcinoma (glBRCA PDAC) tumors are susceptible to platinum and PARP inhibition. The clinical outcomes of 125 patients with glBRCA PDAC were stratified based on the spectrum of response to platinum/ PARP inhibition: (i) refractory [overall survival (OS) <6 months], (ii) durable response followed by acquired resistance (OS <36 months), and (iii) long-term responders (OS >36 months). Patient-derived xenografts (PDX) were generated from 25 patients with glBRCA PDAC at different clinical time points. Response to platinum/PARP inhibition in vivo and ex vivo culture (EVOC) correlated with clinical response. We deciphered the mechanisms of resistance in glBRCA PDAC and identified homologous recombination (HR) proficiency and secondary mutations restoring partial functionality as the most dominant resistant mechanism. Yet, a subset of HR-deficient (HRD) patients demonstrated clinical resistance. Their tumors displayed basal-like molecular subtype and were more aneuploid. Tumor mutational burden was high in HRD PDAC and significantly higher in tumors with secondary mutations. Anti– PD-1 attenuated tumor growth in a novel humanized glBRCA PDAC PDX model. This work demonstrates the utility of preclinical models, including EVOC, to predict the response of glBRCA PDAC to treatment, which has the potential to inform time-sensitive medical decisions.

Original languageEnglish
Pages (from-to)1826-1843
Number of pages18
JournalCancer Discovery
Volume13
Issue number8
DOIs
StatePublished - 1 Aug 2023

All Science Journal Classification (ASJC) codes

  • Oncology

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