Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico.

ABSTRACT:

Background

Breast cancer is one of the most common endocrine cancers among females worldwide. Distant metastasis of breast cancer is causing an increasing number of breast cancer-related deaths. However, the potential mechanisms of metastasis and candidate biomarkers remain to be further explored.

Results

The gene expression profiles of GSE102484 were downloaded from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was used to screen for the most potent gene modules associated with the metastatic risk of breast cancer, and a total of 12 modules were identified based on the analysis. In the most significant module (R² = 0.68), 21 network hub genes (MM > 0.90) were retained for further analyses. Next, protein-protein i

SUBMITTER: Cai Y 

PROVIDER: S-EPMC6588910 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature