Landscape of somatic mutations in 560 breast cancer whole-genome sequences

Abstract

We analysed whole-genome sequences of 560 breast cancers to advance understanding of the driver mutations conferring clonal advantage and the mutational processes generating somatic mutations. We found that 93 protein-coding cancer genes carried probable driver mutations. Some non-coding regions exhibited high mutation frequencies, but most have distinctive structural features probably causing elevated mutation rates and do not contain driver mutations. Mutational signature analysis was extended to genome rearrangements and revealed twelve base substitution and six rearrangement signatures. Three rearrangement signatures, characterized by tandem duplications or deletions, appear associated with defective homologous-recombination-based DNA repair: one with deficient BRCA1 function, another with deficient BRCA1 or BRCA2 function, the cause of the third is unknown. This analysis of all classes of somatic mutation across exons, introns and intergenic regions highlights the repertoire of cancer genes and mutational processes operating, and progresses towards a comprehensive account of the somatic genetic basis of breast cancer. Whole-genome sequencing of tumours from 560 breast cancer cases provides a comprehensive genome-wide view of recurrent somatic mutations and mutation frequencies across both protein coding and non-coding regions; several mutational signatures in these cancer genomes are associated with BRCA1 or BRCA2 function and defective homologous-recombination-based DNA repair. This study reports whole-genome sequencing of tumours and normal tissue from 560 breast cancer cases, providing a comprehensive genome-wide view of recurrent somatic mutations and mutation frequencies across both protein coding and non-coding regions. The authors analyse mutational signatures in these cancer genomes, including a new investigation of rearrangement mutational processes, and find several that are associated with BRCA1 or BRCA2 function and defective homologous-recombination-based DNA repair. They also find mutational signatures showing distinct DNA replication strand biases.