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Data from Mutational Signature 3 Detected from Clinical Panel Sequencing is Associated with Responses to Olaparib in Breast and Ovarian Cancers

Authors :
Gerburg M. Wulf
Peter J. Park
Hans P. Eikesdal
Helen Won
David B. Solit
Panagiotis A. Konstantinopoulos
Ursula A. Matulonis
Per E. Lønning
Stian Knappskog
Erica L. Mayer
Eric P. Winer
Nadine M. Tung
Nabihah Tayob
Niya Xiong
Madeline Polak
Antuan Tran
Victor Mao
Doga C. Gulhan
Felipe Batalini
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

Purpose:The identification of patients with homologous recombination deficiency (HRD) beyond BRCA1/2 mutations is an urgent task, as they may benefit from PARP inhibitors. We have previously developed a method to detect mutational signature 3 (Sig3), termed SigMA, associated with HRD from clinical panel sequencing data, that is able to reliably detect HRD from the limited sequencing data derived from gene-focused panel sequencing.Experimental Design:We apply this method to patients from two independent datasets: (i) high-grade serous ovarian cancer and triple-negative breast cancer (TNBC) from a phase Ib trial of the PARP inhibitor olaparib in combination with the PI3K inhibitor buparlisib (BKM120; NCT01623349), and (ii) TNBC patients who received neoadjuvant olaparib in the phase II PETREMAC trial (NCT02624973).Results:We find that Sig3 as detected by SigMA is positively associated with improved progression-free survival and objective responses. In addition, comparison of Sig3 detection in panel and exome-sequencing data from the same patient samples demonstrated highly concordant results and superior performance in comparison with the genomic instability score.Conclusions:Our analyses demonstrate that HRD can be detected reliably from panel-sequencing data that are obtained as part of routine clinical care, and that this approach can identify patients beyond those with germline BRCA1/2mut who might benefit from PARP inhibitors. Prospective clinical utility testing is warranted.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....b03e9c8c371af9cc37633a91a713e1fa