Background: Prostate adenocarcinoma is a frequent cancer among men with high incidence and mortality rates. Biomarkers are useful for the treatment of cancers, so we need to explore the regulatory network of prostate adenocarcinoma.
Method: The database from University of California Santa Cruz was used to determine expression of messenger RNAs and microRNAs. Weighted correlation network analysis was used for classifying genes. Search Tool for Recurring Instances of Neighboring Genes and Cytoscape were used for the construction of PPI network and selection of hub genes. The microRNAs were predicted in miRactDB. The relations between microRNAs and messenger RNAs were assessed by Statistical Product and Service Solutions. The prognostic value was evaluated through Kaplan-Meier method. Kyoto Encyclopedia of Genes and Genomes, Gene Ontology and Gene Set Enrichment Analysis were used for predicting potential function.
Results: 10 hub genes were all overexpressed in tumor tissues compared to normal tissues, but only aurora kinase B and nucleolar and spindle associated protein 1 were both significantly related to disease-free interval and progression-free interval time.Aurora kinase B and nucleolar and spindle associated protein 1 were negatively related to hsa-miR-1-3p, hsa-miR-133a-3p, hsa-miR-133b and hsa-miR-221-3p but positively related to hsa-miR-15b-5p, hsa-miR-21-5p, hsa-miR-106b-5p, hsa-miR-183-5p, hsa-miR-191-5p, hsa-miR-210-3p, hsa-miR-425-5p and hsa-miR-653-5p. All microRNAs except has-miR-653-5p significantly were related to the disease-free interval and progression-free interval time. The functions of microRNAs were enriched in cell cycle.
Conclusion: We identified hub messenger RNAs and core microRNAs and established a novel messenger RNA-microRNA network associated with the prognosis of prostate adenocarcinoma.
Keywords: Bioinformatics analysis; Messenger RNA; Prognosis; Prostate cancer; microRNA.
© 2023 The Authors. Published by Elsevier Ltd.