Identification of Prognostic Candidate Genes in Breast Cancer by Integrated Bioinformatic Analysis.

ABSTRACT: Breast cancer is one of the most common malignancies. However, the molecular mechanisms underlying its pathogenesis remain to be elucidated. The present study aimed to identify the potential prognostic marker genes associated with the progression of breast cancer. Weighted gene coexpression network analysis was used to construct free-scale gene coexpression networks, evaluate the associations between the gene sets and clinical features, and identify candidate biomarkers. The gene expression profiles of GSE48213 were selected from the Gene Expression Omnibus database. RNA-seq data and clinical information on breast cancer from The Cancer Genome Atlas were used for validation. Four modules were identified from the gene coexpression network, one of which was found to be significantly associat

SUBMITTER: Wang CCN 

PROVIDER: S-EPMC6723760 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature