Identification of prognostic genes for early basal-like breast cancer with weighted gene co-expression network analysis.

ABSTRACT:

Background

Breast cancer (BC) has become the leading cause of death for women's malignancies and increasingly threatens the health of women worldwide. However, there is a lack of effective targeted drugs for basal-like BC. Therefore, biomarkers related to the prognosis of early BC need to be identified.

Methods

The RNA-seq data of 87 cases of early basal-like BC and 111 cases of normal breast tissue from The Cancer Genome Atlas were explored by the weighted gene co-expression network analysis method and Limma package. Then, intersected genes were identified, and hub genes were selected by the maximal clique centrality method. The prognostic effect of the hub genes was also evaluated in early basal-like BC.

Results

In total, 601 IGs were identified in this study. An AP

SUBMITTER: Yuan K 

PROVIDER: S-EPMC9592510 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature