前列腺癌
生物
蛋白质组学
计算生物学
癌症
前列腺
癌症研究
生物信息学
遗传学
基因
作者
Zengming Wang,Haolan Yu,Wei Bao,Min Qu,Yan Wang,Liandong Zhang,Xubing Liu,Chen Liu,Miaoxia He,Jing Wang,Zhenyang Dong,Yun Zhang,Jing Wang,Jianguo Hou,Chuan-Liang Xu,Linhui Wang,Xin Li,Xu Gao,Chenghua Yang
标识
DOI:10.1073/pnas.2402741121
摘要
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.
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