1. Identification of genes associated with castration-resistant prostate cancer by gene expression profile analysis
- Author
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Xing Hua Zhao, Chui Guo Huang, Chang Bao Xu, Feng Xi Li, Song Pan, and Jun Qiang Dai
- Subjects
0301 basic medicine ,Male ,Cancer Research ,differentially expressed genes ,Microarray ,Down-Regulation ,Computational biology ,Biology ,Bioinformatics ,medicine.disease_cause ,Biochemistry ,03 medical and health sciences ,Prostate cancer ,0302 clinical medicine ,Gene expression ,Databases, Genetic ,Genetics ,medicine ,castration-resistant prostate cancer ,Cluster Analysis ,Humans ,Cyclin B2 ,Protein Interaction Maps ,KEGG ,Molecular Biology ,Gene ,Gene Expression Profiling ,Chromoplexy ,Articles ,medicine.disease ,Up-Regulation ,Gene expression profiling ,Prostatic Neoplasms, Castration-Resistant ,030104 developmental biology ,Oncology ,030220 oncology & carcinogenesis ,Molecular Medicine ,protein-protein interaction network ,Carcinogenesis ,module analysis ,RGS Proteins - Abstract
Prostate cancer (CaP) is a serious and common genital tumor. Generally, men with metastatic CaP can easily develop castration‑resistant prostate cancer (CRPC). However, the pathogenesis and tumorigenic pathways of CRPC remain to be elucidated. The present study performed a comprehensive analysis on the gene expression profile of CRPC in order to determine the pathogenesis and tumorigenic of CRPC. The GSE33316 microarray, which consisted of 5 non‑castrated samples and 5 castrated samples, was downloaded from the gene expression omnibus database. Subsequently, 201 upregulated and 161 downregulated differentially expressed genes (DEGs) were identified using the limma package in R and those genes were classified and annotated by plugin Mcode of Cytoscape. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using Database for Annotation, Visualization and Integrated Discovery and KEGG Orthology Based Annotation System 2.0 online tools to investigate the function of different gene modules. The BiNGO tool was used to visualize the level of enriched GO terms. Protein‑protein interaction network was constructed using STRING and analyzed with Cytoscape. In conclusion, the present study determined that aldo‑keto reductase 3, cyclin B2, regulator of G protein signaling 2, nuclear factor of activated T‑cells and protein kinase C a may have important roles in the development of CRPC.
- Published
- 2017