Zhongguo quanke yixue (Mar 2022)

Bioinformatic Analysis of Potential Key Genes in Castration-resistant Prostate Cancer Development

  • DONG Jingting, HENG Li, KANG Shaosan, LIU Jian, TIAN Zhichong, ZHANG Liguo, ZHANG Jincun, LI Zhiguo, SHEN Hong, CAO Fenghong

DOI
https://doi.org/10.12114/j.issn.1007-9572.2022.02.010
Journal volume & issue
Vol. 25, no. 08
pp. 937 – 944

Abstract

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BackgroundCastration-resistant prostate cancer (CRPC) is one of the most prevalent cancers in males with a high fatality rate. Its molecular mechanism is still unclear, and there is no effective treatment.ObjectiveTo explore the key genes involved in CRPC development using bioinformatic analysis, offering new ideas for the diagnosis and treatment of CRPC.MethodsThe data set GSE32269 which contains human primary prostate cancer and CRPC was downloaded from the Gene Expression Omnibus database for further bioinformatic analysis. R language was used to identify differentially expressed genes (DEGs) in CRPC. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of DEGs were further performed by using DAVID. A protein-protein interaction (PPI) network of DEGs was constructed by using STRING database for screening potential key genes. And the identified potential key genes were further analyzed by survival analysis and receiver operating characteristic (ROC) curve analysis.Results279 DEGs were identified in microarray dataset GSE32269. GO enrichment analysis and KEGG pathway analysis revealed that cell division, mitosis and cell cycle signaling pathways may play an important role in the development of CRPC. PPI network screening revealed that there were 15 potential key genes, among which CDC20, MAD2L1 and NUSAP1 expressed differentially in CRPC patients: those with highly expressed CDC20, MAD2L1 and NUSAP1 had statistically lower overall survival rate and disease-free survival rate than did those with low expressed CDC20, MAD2L1 and NUSAP1 (P<0.05) . The area under the ROC curve of CDC20, MAD2L1 and NUSAP1 to predict the occurrence of CRPC were 0.933, 0.762, and 0.950, respectively, indicating that each of them may have a high diagnostic value for CRPC.ConclusionCDC20, MAD2L1 and NUSAP1 may be key candidate genes associated with the development of CRPC.

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