Multi-omics integration analysis unveils heterogeneity in breast cancer at the individual level.

ABSTRACT: Identifying robust breast cancer subtypes will help to reveal the cancer heterogeneity. However, previous breast cancer subtypes were based on population-level quantitative gene expression, which is affected by batch effects and cannot be applied to individuals. We detected differential gene expression, genomic, and epigenomic alterations to identify driver differential expression at the individual level. The individual driver differential expression reflected the breast cancer patients' heterogeneity and revealed four subtypes. Mesenchymal subtype as the most aggressive subtype harbored deletion and downregulated expression of genes in chromosome 11q23 region. Specifically, silencing of the SDHD gene in 11q23 promoted the invasion and migration of breast cancer cells in vitro by th

SUBMITTER: Zhao Z 

PROVIDER: S-EPMC10730166 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature