Title:Comprehensive Analysis of Key Proteins Involved in Radioresistance of Prostate Cancer by Integrating Protein-protein Interaction Networks
Volume: 16
Issue: 1
Author(s): Duocheng Qian, Quan Li, Yansong Zhu and Dujian Li*
Affiliation:
- Department of Urology, Shanghai Fourth People’s Hospital, Shanghai, 200081,China
Keywords:
Prostate cancer, radioresistance, biomarker, protein-protein interaction network, hypoxia, mRNA.
Abstract:
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.
Protein-protein 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 the GSE53902 dataset to identify radioresistance-related
mRNAs. A total of 445 up-regulated and 1036 down-regulated mRNAs were identified in
radioresistance PCa cells. Three key PPI networks consisting of 81 proteins were further constructed
in PCa. Bioinformatics analysis revealed that these genes were involved in regulating MAP kinase
activity, response to hypoxia, regulation of the apoptotic process, mitotic nuclear division, and
regulation of mRNA stability. Moreover, we observed that radioresistance-related mRNAs, such as
PRC1, RAD54L, PIK3R3, ASB2, FBXO32, LPAR1, RNF14, and UBA7, were dysregulated and
correlated to the survival time in PCa.
Conclusion: We thought this study would be useful to understand the mechanisms underlying
radioresistance of PCa and identify novel prognostic markers for PCa.
