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Proteomic and phosphoproteomic landscape of localized prostate cancer unveils distinct molecular subtypes and insights into precision therapeutics

Zengming Wang, Haolan Yu, Wei Bao, Min Qu, Yan Wang, Liandong Zhang, Xubing Liu, Chen Liu, Miaoxia He, Jing Li, Zhenyang Dong, Yun Zhang, Bo Yang, Jianguo Hou, Chuan-Liang Xu, Linhui Wang, Xin Li, Xu Gao, Chenghua Yang

2024Proceedings of the National Academy of Sciences12 citationsDOIOpen Access PDF

Abstract

Building upon our previous investigation of genomic, epigenomic, and transcriptomic profiles of prostate cancer in China, we conducted a comprehensive analysis of proteomic and phosphoproteomic profiles of 82 tumor tissues and matched adjacent normal tissues from 41 Chinese patients with localized prostate cancer. We identified three distinct proteomic subtypes with significant difference in both molecular features and clinical prognosis. Notably, these proteomic subtypes exhibited a parallel degree of heterogeneity in the phosphoproteome, featuring unique metabolism, proliferation, and immune infiltration characteristics. We further demonstrated that a combination of proteins and phosphosites serves as the most effective biomarkers in prostate cancer to predict biochemical recurrence. Through an integrated multiomics analysis, we revealed mechanistic differences underlying different proteomic subtypes and highlighted the potential significance of Serine/arginine-rich splicing factor 1 (SRSF1) phosphorylation in promoting the malignant characteristics of prostate cancer cells. Our multiomics data provide valuable resources for understanding the molecular mechanisms of prostate cancer within the Chinese population, which have the potential to inform the development of personalized treatment strategies and enhance prognostic analyses for prostate cancer patients.

Topics & Concepts

Prostate cancerBiologyProteomicsComputational biologyCancerProstateCancer researchBioinformaticsGeneticsGeneProstate Cancer Treatment and ResearchAdvanced Proteomics Techniques and ApplicationsRNA Research and Splicing