Background: Radioresistance remains a significant obstacle in the treatment of prostate cancer
(PCa). The mechanisms underlying the radioresistance in PCa remained to be further investigated.
Methods: GSE53902 dataset was used in this study to identify radioresistance-related mRNAs. Proteinprotein interaction (PPI) network was constructed based on STRING analysis. DAVID system was used to
predict the potential roles of radioresistance-related mRNAs.
Results: We screened and re-annotated
GSE53902 dataset to identify radioresistance-related mRNAs. A total of 445 up-regulated and 1036 downregulated mRNAs were identified in radioresistance PCa cells. Three key PPI network consisting of 81
proteins were further constructed in PCa. Bioinformatics analysis revealed these genes were involved in
regulating MAP kinase activity, response to hypoxia, regulation of apoptotic process, mitotic nuclear
division, and regulation of mRNA stability. Moreover, we observed radioresistance-related mRNAs, such
as PRC1, RAD54L, PIK3R3, ASB2, FBXO32, LPAR1, RNF14, and UBA7, were dysregulated and
correlated to the survival time in PCa. Conclusions: We thought this study will be useful to understand the
mechanisms underlying radioresistance of PCa and identify novel prognostic markers for PCa.