Identification of a novel signature with prognostic value in triple-negative breast cancer through clinico-transcriptomic analysis.

ABSTRACT:

Background

Although perceived as a highly aggressive disease, triple-negative breast cancer (TNBC) constitutes heterogeneous features with various outcomes. In this study, we aimed to establish a prognostic signature for patients with TNBC to improve risk stratification.

Methods

Gene expression data were obtained from The Cancer Genome Atlas (TCGA). Differentially expressed genes (DEGs) were detected pairwise between TNBC and other subtypes of samples. Then, TNBC-correlated modules were determined using coexpression network analysis. A gene signature was established based on the prognostic genes in the intersection between DEGs and selected gene modules using least absolute shrinkage and selection operator (LASSO) Cox regression. Finally, a clinico-transcriptomic signature w

SUBMITTER: Chen C 

PROVIDER: S-EPMC9652523 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature