Shaping the BRCAness mutational landscape by alternative double-strand break repair, replication stress and mitotic aberrancies.
Colin StokYannick P KokNathalie van den TempelMarcel A T M van VugtPublished in: Nucleic acids research (2021)
Tumours with mutations in the BRCA1/BRCA2 genes have impaired double-stranded DNA break repair, compromised replication fork protection and increased sensitivity to replication blocking agents, a phenotype collectively known as 'BRCAness'. Tumours with a BRCAness phenotype become dependent on alternative repair pathways that are error-prone and introduce specific patterns of somatic mutations across the genome. The increasing availability of next-generation sequencing data of tumour samples has enabled identification of distinct mutational signatures associated with BRCAness. These signatures reveal that alternative repair pathways, including Polymerase θ-mediated alternative end-joining and RAD52-mediated single strand annealing are active in BRCA1/2-deficient tumours, pointing towards potential therapeutic targets in these tumours. Additionally, insight into the mutations and consequences of unrepaired DNA lesions may also aid in the identification of BRCA-like tumours lacking BRCA1/BRCA2 gene inactivation. This is clinically relevant, as these tumours respond favourably to treatment with DNA-damaging agents, including PARP inhibitors or cisplatin, which have been successfully used to treat patients with BRCA1/2-defective tumours. In this review, we aim to provide insight in the origins of the mutational landscape associated with BRCAness by exploring the molecular biology of alternative DNA repair pathways, which may represent actionable therapeutic targets in in these cells.
Keyphrases
- dna repair
- genome wide
- breast cancer risk
- circulating tumor
- dna damage
- single molecule
- cell free
- copy number
- single cell
- induced apoptosis
- dna damage response
- nucleic acid
- cell cycle arrest
- risk assessment
- climate change
- machine learning
- signaling pathway
- genome wide identification
- big data
- circulating tumor cells
- binding protein
- cell death
- electronic health record
- artificial intelligence
- data analysis
- genome wide analysis