Identification of castration-resistant prostate cancer-related hub genes using weighted gene co-expression network analysis.

ABSTRACT: Prostate cancer is the most common malignancy in urinary system and brings heavy burdens in men. We downloaded gene expression profile of mRNA and related clinical data of GSE70768 data set from public database. Weighted gene co-expression network analysis (WGCNA) was used to identify the relationships between gene modules and clinical features, as well as the candidate genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses were developed to investigate the potential functions of related hub genes. Importantly, basic experiments were performed to verify the relationship between hub genes and the phenotype previously identified. Lastly, copy number variation (CNV) analysis was conducted to explore the genetical alteration. WGCNA identified that black module wa

SUBMITTER: Cheng Y 

PROVIDER: S-EPMC7348158 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature