Department of Urology, Changhai Hospital, Second Military Medical University (Naval Medical University), Shanghai 200433, China.
Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China.
Proc Natl Acad Sci U S A. 2024 Oct;121(40):e2402741121. doi: 10.1073/pnas.2402741121. Epub 2024 Sep 25.
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.
在我们之前对中国前列腺癌的基因组、表观基因组和转录组谱进行研究的基础上,我们对 41 名中国局限性前列腺癌患者的 82 个肿瘤组织和匹配的相邻正常组织进行了蛋白质组学和磷酸化蛋白质组学的全面分析。我们发现了三种具有明显差异的蛋白质组亚型,在分子特征和临床预后方面都存在显著差异。值得注意的是,这些蛋白质组亚型在磷酸化蛋白质组中表现出平行程度的异质性,具有独特的代谢、增殖和免疫浸润特征。我们进一步证明,蛋白质和磷酸化位点的组合是预测前列腺癌生化复发的最有效生物标志物。通过综合多组学分析,我们揭示了不同蛋白质组亚型背后的机制差异,并强调丝氨酸/精氨酸丰富剪接因子 1(SRSF1)磷酸化在促进前列腺癌细胞恶性特征方面的潜在意义。我们的多组学数据为了解中国人群中前列腺癌的分子机制提供了有价值的资源,这些资源有可能为制定个性化治疗策略和增强前列腺癌患者的预后分析提供信息。