American Chemical Society
Browse

Quantitative Proteomics of TRAMP Mice Combined with Bioinformatics Analysis Reveals That PDGF‑B Regulatory Network Plays a Key Role in Prostate Cancer Progression

Download (8.95 kB)
dataset
posted on 2018-06-04, 00:00 authored by Yuan Zhang, Dan Wang, Min Li, Xiaodan Wei, Shuang Liu, Miaoqing Zhao, Chu Liu, Xizhen Wang, Xingyue Jiang, Xuri Li, Shuping Zhang, Jonas Bergquist, Bin Wang, Chunhua Yang, Jia Mi, Geng Tian
Transgenic adenocarcinoma of the mouse prostate (TRAMP) mice is a widely used transgenic animal model of prostate cancer (PCa). We performed a label-free quantitative proteomics analysis combined with a bioinformatics analysis on the entire prostate protein extraction from TRAMP mice and compared it with WT littermates. From 2379 total identified proteins, we presented a modest mice prostate reference proteome containing 919 proteins. 61 proteins presented a significant expression difference between two groups. The integrative bioinformatics analysis predicted the overexpression of platelet-derived growth factor B (PDGF-B) in tumor tissues and supports the hypothesis of the PDGF-B signaling network as a key upstream regulator in PCa progression. Furthermore, we demonstrated that Crenolanib, a novel PDGF receptor inhibitor, inhibited PCa cell proliferation in a dose-dependent manner. Finally, we revealed the importance of PDGF-B regulatory network in PCa progression, which will assist us in understanding the role and mechanisms of PDGF-B in promoting cancer growth and provide valuable knowledge for future research on anti-PDGF therapy.

History