Unknown

Dataset Information

Identification and Analysis of Sex-Biased Copy Number Alterations.


ABSTRACT: Background: Sex difference has long been recognized at cancer incidence, outcomes, and responses to therapy. Analyzing the somatic mutation profiles of large-scale cancer samples between the sexes have revealed several potential drivers of cancer with sex difference. However, it is still a demand for in-depth scrutinizing the sex-biased characteristics of genome instability to link the clinical differences for individual cancer type. Methods: Here, we utilized a published framework devised to specifically compare the copy number profiles between 2 groups to identify the sex-biased copy number alterations (CNAs) across 16 cancer types from the The Cancer Genome Atlas Program database, and dissected the impact of those CNAs. Results: Totally, 81 male-biased CNA regions a

SUBMITTER: Zhang C 

PROVIDER: S-EPMC11249066 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature