Identification of potential immunotherapy biomarkers for breast cancer by bioinformatics analysis.

ABSTRACT: Breast cancer is a serious malignancy with a high incidence worldwide and a tendency to relapse. We used integrated bioinformatics analysis to identify potential biomarkers in breast carcinoma in the present study. Microarray data, 127breast tumor samples and 23 non-tumor samples, received from the Gene Expression Omnibus (GEO) dataset; 121 differentially expressed genes (DEGs) were selected. Functional analysis using DAVID revealed that these DEGs were highly gathered in endodermal cell differentiation and proteinaceous extracellular matrix. Five bioactive compounds (prostaglandin J2, tanespimycin, semustine, 5182598, and flunarizine) were identified using Connectivity Map. We used Cytoscape software and STRING dataset to structure a protein-protein interaction (PPI) network. The expressi

SUBMITTER: Song Y 

PROVIDER: S-EPMC8819662 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature