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Dataset Information

Bioinformatic analysis and experimental validation of six cuproptosis-associated genes as a prognostic signature of breast cancer.


ABSTRACT:

Background

Breast carcinoma (BRCA) is a life-threatening malignancy in women and shows a poor prognosis. Cuproptosis is a novel mode of cell death but its relationship with BRCA is unclear. This study attempted to develop a cuproptosis-relevant prognostic gene signature for BRCA.

Methods

Cuproptosis-relevant subtypes of BRCA were obtained by consensus clustering. Differential expression analysis was implemented using the 'limma' package. Univariate Cox and multivariate Cox analyses were performed to determine a cuproptosis-relevant prognostic gene signature. The signature was constructed and validated in distinct datasets. Gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) were also conducted using the prognostic signature to uncover the underlying mo

SUBMITTER: Chen X 

PROVIDER: S-EPMC11192027 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature