Ontology highlight
ABSTRACT: Background
Many cancer types display sex and age disparity in incidence and outcome. The mutational load of tumours, including melanoma, varies according to sex and age. However, there are no tools to explore systematically whether clinical variables such as age and sex determine the genomic landscape of cancer.Objectives
To establish a mathematical approach using melanoma mutational data to analyse how sex and age shape the tumour genome.Methods
We model how age-related (clock-like) somatic mutations that arise during cell division, and extrinsic (environmental ultraviolet radiation) mutations accumulate in cancer genomes.Results
Melanoma is driven primarily by cell-intrinsic age-related mutations and extrinsic ultraviolet radiation-induced mutations, and w
SUBMITTER: Lotz M
PROVIDER: S-EPMC7613609 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature