Abstract CT339: Prospective molecular identification of ovarian cancer patients benefiting from PARP inhibitor (PARPi, rucaparib) maintenance therapy - reaching beyond germline BRCA mutations

Abstract

Abstract Background: PARP inhibitors are thought to be effective therapy for cancers with homologous recombination (HR) deficiency, best shown to date in patients (pts) with a germline BRCA (gBRCA) mutation. The Cancer Genome Atlas (TCGA) estimated ∼ 50% of high-grade serous ovarian carcinoma (OC) pts have an HR defect (HRD) due to a BRCA mutation (germline or somatic), other HR gene mutation, or another mechanism, e.g., BRCA1 promoter methylation. A randomized maintenance trial of olaparib in recurrent OC demonstrated a clinical benefit in both gBRCA-mutated and gBRCA-wild-type pts. Currently, the best molecular predictors of PARPi response (other than a BRCA mutation) are not known. Platinum sensitivity, often used as a surrogate predictive indicator for PARPi response, is inadequate. A better technique, such as molecular analysis of tumor tissue, could be a superior method for selection of pts for PARPi therapy. Methods: The rucaparib development plan in OC employs a unique strategy of conducting the key trials in parallel, allowing the Phase 2 (ARIEL2) to complete first so that a molecular HRD signature, associated with sub-groups most likely to benefit, can be prospectively applied to the final analysis of the Phase 3 pivotal trial (ARIEL3). ARIEL2 is an ongoing, single-arm, open-label biomarker study designed to refine the molecular signature associated with a response to rucaparib. Eligible pts (n=180) have relapsed, platinum-sensitive, high-grade OC and measurable disease. All pts undergo a pre-dose biopsy and provide archival tumor tissue. Tumor tissue HR status is assessed using Foundation Medicine's next generation sequencing (NGS) platform and University of Washington's BROCA-HR panel, with the current HRD algorithm developed using in vitro/in vivo and TCGA (and similar) bioinformatic data. The key efficacy analyses to be correlated with tumor HR status are response by RECIST v1.1, GCIG-defined CA-125 response, and PFS. The number of gBRCA pts is limited to maximize non-gBRCA response predictors. Exploratory biomarkers include assessment of tissue NHEJ competency (candidate predictive biomarker) and circulating tumor DNA (candidate efficacy surrogate). The optimized algorithm will then be tested prospectively in ARIEL3 (n=540), an international, randomized (2:1), double-blind, placebo-controlled maintenance trial in platinum-sensitive OC in remission after platinum-based therapy. The primary endpoint of ARIEL3 is PFS in molecularly-defined HRD subgroups as determined by NGS analysis of archival tumor tissue using the optimized algorithm, refined (as required) through ARIEL2.Conclusion: This pair of clinical trials seeks to determine prospectively the appropriate population, among all women with platinum-sensitive OC, who derive a meaningful benefit from PARPi treatment in the maintenance setting. Citation Format: Elizabeth Swisher, Iain McNeish, Robert L. Coleman, James D. Brenton, Scott H. Kaufmann, Andrew Allen, Mitch Raponi, Heidi Giordano, Lara Maloney, Jeffrey Isaacson, Jonathan A. Ledermann. Prospective molecular identification of ovarian cancer patients benefiting from PARP inhibitor (PARPi, rucaparib) maintenance therapy - reaching beyond germline BRCA mutations. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr CT339. doi:10.1158/1538-7445.AM2014-CT339