Chen Yinhao, Gao Mingde, Chen Peng, Sharma Amit, Setiawan Maria Fitria, Gonzalez-Carmona Maria A, Wang Xiaolin, Schmidt-Wolf Ingo G H
Department of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital of Bonn, Venusberg Campus 1, 53127, Bonn, Germany.
Department of Urology, Affiliated Tumor Hospital of Nantong University and Nantong Tumor Hospital, No. 30, Tongyang North Road, Tongzhou District, Nantong, 226361, Jiangsu, People's Republic of China.
Sci Rep. 2025 Apr 12;15(1):12588. doi: 10.1038/s41598-025-97118-9.
Phosphoinositides (PI) and their metabolic enzymes are known to be involved in cellular processes associated with the hallmarks of cancer. The impact of PI metabolism-related components on urinary tract (or urological) cancers, however, remains unexplored. Considering this, herein, we performed a comprehensive bioinformatic analysis on clear cell renal carcinoma, bladder cancer, and adenocarcinoma of the prostate using public databases to investigate the relative contribution of PI metabolism in these clinical phenotypes. Primarily, we computed phosphoinositide metabolism scores to assess the associated biological processes and further enriched the analysis by predicting drug sensitivity, immune profiling, and risk stratification. Besides, we utilized single-cell RNA sequencing datasets to identify intercellular communication networks associated with PI metabolism in these cancer subtypes. Of interest, our analysis identified the PNPLA7 gene as a potential biomarker in urological cancers, which we validated using immunohistochemical evaluation of clinical samples. In conclusion, our study reveals that PI metabolism is a critical prognostic biomarker for urological cancers and may guide drug therapies, including immunosuppressants. Therefore, PNPLA7 could serve as a potential target and requires further attention.
磷酸肌醇(PI)及其代谢酶已知参与与癌症特征相关的细胞过程。然而,PI代谢相关成分对泌尿系统(或泌尿外科)癌症的影响仍未得到探索。考虑到这一点,我们在此使用公共数据库对透明细胞肾细胞癌、膀胱癌和前列腺腺癌进行了全面的生物信息学分析,以研究PI代谢在这些临床表型中的相对作用。首先,我们计算了磷酸肌醇代谢评分以评估相关的生物学过程,并通过预测药物敏感性、免疫谱分析和风险分层进一步丰富了分析。此外,我们利用单细胞RNA测序数据集来识别这些癌症亚型中与PI代谢相关的细胞间通讯网络。有趣的是,我们的分析确定PNPLA7基因是泌尿系统癌症中的一个潜在生物标志物,我们通过对临床样本进行免疫组织化学评估对其进行了验证。总之,我们的研究表明PI代谢是泌尿系统癌症的一个关键预后生物标志物,可能指导药物治疗,包括免疫抑制剂。因此,PNPLA7可能作为一个潜在靶点,需要进一步关注。