Rosalind Glasspool, Colin A Semple, Charlie Gourley, Patricia Roxburgh, Andrew V Biankin, Iain A McNeish, J Carl Barrett, Ruth March, Brian Dougherty, Athena Matakidou, Lynn McMahon, Darren Ennis, Brian McDade, Fiona Nussey, Melanie Mackean, Ailith Ewing, Suzanne Dowson, Nadeem Siddiqui, Neil McPhail, Trevor McGoldrick, Mairi Lennie, Michelle Ferguson, Ian Croy, Clare Bartos, Tzyvia Rye, C Simon Herrington, Robert L Hollis, Graeme R Grimes, Michael Churchman, Alison Meynert
Journal: Clinical cancer research : an official journal of the American Association for Cancer Research 2022;27(11):3201-3214
PMID: 33741650
PURPOSE
The abundance and effects of structural variation at BRCA1/2 in tumors are not well understood. In particular, the impact of these events on homologous recombination repair deficiency (HRD) has yet to be demonstrated.
EXPERIMENTAL DESIGN
Exploiting a large collection of whole-genome sequencing data from high-grade serous ovarian carcinoma ( = 205) together with matched RNA sequencing for the majority of tumors ( = 150), we have comprehensively characterized mutation and expression at .
RESULTS
In addition to the known spectrum of short somatic mutations (SSM), we discovered that multi-megabase structural variants (SV) were a frequent, unappreciated source of disruption in these tumors, and we found a genome-wide enrichment for large deletions at the loci across the cohort. These SVs independently affected a substantial proportion of patients (16%) in addition to those affected by SSMs (24%), conferring HRD and impacting patient survival. We also detail compound deficiencies involving SSMs and SVs at both loci, demonstrating that the strongest risk of HRD emerges from combined SVs at both and in the absence of SSMs. Furthermore, these SVs are abundant and disruptive in other cancer types.
CONCLUSIONS
These results extend our understanding of the mutational landscape underlying HRD, increase the number of patients predicted to benefit from therapies exploiting HRD, and suggest there is currently untapped potential in SV detection for patient stratification.
©2021 American Association for Cancer Research.
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