Identification of Genes with Prognostic Value in the Breast Cancer Microenvironment Using Bioinformatics Analysis.

ABSTRACT: BACKGROUND Stromal and immune cells play essential roles in the development of breast cancer (BC). This study was conducted to identify prognosis-related genes from the tumor microenvironment. MATERIAL AND METHODS The gene expression profiles of 622 BC samples were downloaded from TCGA (The Cancer Genome Atlas) database. Stromal and immune scores were calculated by using the ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumours using Expression data) algorithm. Then, differentially expressed genes (DEGs) between the high score group and the low score group were screened. The intersecting DEGs were selected through Venn diagrams, and survival analysis was conducted. Functional and pathway enrichment analyses were performed using the DAVID (Database for Annotation, Visualizat

SUBMITTER: Ren H 

PROVIDER: S-EPMC7160604 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature