Bioinformatics-Driven Investigations of Signature Biomarkers for Triple-Negative Breast Cancer.

ABSTRACT: Breast cancer is a highly heterogeneous disorder characterized by dysregulated expression of number of genes and their cascades. It is one of the most common types of cancer in women posing serious health concerns globally. Recent developments and discovery of specific prognostic biomarkers have enabled its application toward developing personalized therapies. The basic premise of this study was to investigate key signature genes and signaling pathways involved in triple-negative breast cancer using bioinformatics approach. Microarray data set GSE65194 from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus was used for identification of differentially expressed genes (DEGs) using R software. Gene ontology and Kyoto Encyclopedia of Genes and Genome (KEGG) path

SUBMITTER: Handa S 

PROVIDER: S-EPMC11873876 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature