Identification and characterization of cuproptosis related gene subtypes through multi-omics bioinformatics analysis in breast cancer.

ABSTRACT: Cuproptosis, a newly suggested mechanism of controlled cellular demise, which has been extensively associated with aspects of occurrence and development in breast cancer. The aim of this study was to conduct a comprehensive multi-group bioinformatics analysis based on the expression of cuproptosis-related genes (CRGs) to identify novel breast cancer subtypes to guide clinical practice. We collected TCGA-BRCA and GSE42568 datasets to investigate the expression patterns of CRGs in breast cancer. Consensus cluster analysis was performed to identify distinct subtypes. Subsequently, an investigation was carried out to examine the disparities between CRGclusters through functional enrichment analysis. Finally, we examined microsatellite instability, tumor mutation burden, drug sensitivity, infil

SUBMITTER: Fang D 

PROVIDER: S-EPMC11825418 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature