posted on 2023-03-31, 22:48authored byAilith Ewing, Alison Meynert, Michael Churchman, Graeme R. Grimes, Robert L. Hollis, C. Simon Herrington, Tzyvia Rye, Clare Bartos, Ian Croy, Michelle Ferguson, Mairi Lennie, Trevor McGoldrick, Neil McPhail, Nadeem Siddiqui, Suzanne Dowson, Rosalind Glasspool, Melanie Mackean, Fiona Nussey, Brian McDade, Darren Ennis, Lynn McMahon, Athena Matakidou, Brian Dougherty, Ruth March, J. Carl Barrett, Iain A. McNeish, Andrew V. Biankin, Patricia Roxburgh, Charlie Gourley, Colin A. Semple
SNVs in non-BRCA1/2 HR genes
Funding
UKRI Innovation Fellowship
the MRC Human Genetics Unit
Cancer Research UK
Wellcome Trust Senior Investigator Award
Pancreatic Cancer UK Future Research Leaders
History
ARTICLE ABSTRACT
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.
Exploiting a large collection of whole-genome sequencing data from high-grade serous ovarian carcinoma (N = 205) together with matched RNA sequencing for the majority of tumors (N = 150), we have comprehensively characterized mutation and expression at BRCA1/2.
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 BRCA1/2 disruption in these tumors, and we found a genome-wide enrichment for large deletions at the BRCA1/2 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 BRCA1 and BRCA2 in the absence of SSMs. Furthermore, these SVs are abundant and disruptive in other cancer types.
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.