Comprehensive Analysis of key Proteins Involved in Radioresistance of Prostate Cancer by Integrating Protein-protein Interaction Networks

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Author(s): Duocheng Qian*, Quan Li, Yansong Zhu, Dujian Li

Journal Name: Current Bioinformatics

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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.

Keywords: Benign Paroxysmal Positional vertigo, Modified Epley’s maneuver, DizzyFIX device, Dix-Hallpike test, Visual aid device

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(E-pub Ahead of Print)
DOI: 10.2174/1574893615999200605143510
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