Chen Yin, Shi Haoqing, Xu Yifan, Zhuo Zhiyuan
Department of Urology, Changhai Hospital, Naval Medical University Shanghai, China.
Am J Clin Exp Urol. 2025 Apr 25;13(2):132-144. doi: 10.62347/TKDL1531. eCollection 2025.
Currently, there is an urgent need for prognostic prediction models for renal clear cell carcinoma (ccRCC). This study aims to establish a prognostic prediction model based on differential genes associated with TNM staging and validate it through both in vitro and in vivo experiments.
Through the cross-analysis of the differential genes between T1-2 and T3-4 stages, N1 and N2 stages, as well as M0 and M1 stages in ccRCC, a nomogram prognostic model was constructed using multivariate COX regression analysis. Finally, the function of human serum amyloid A2 (SAA2) was verified through in vivo and in vitro experiments.
Through cross-analysis of the differential genes between T1-2 and T3-4 stages, N1 and N2 stages, as well as M0 and M1 stages, 67 genes were identified. Through multivariate COX regression analysis, examination of expression differences between cancerous and normal tissues, and assessment of their impact on prognosis, we have derived a nomogram prognostic prediction model composed of ITPKA, PDIA2, SAA2, SHOX2, TREML3P, and ZIC2. Furthermore, through Transwell migration and invasion assays, EdU proliferation assays, and in vivo experiments, we validated that SAA2 promotes the proliferation, migration, and invasion of ccRCC.
The nomogram prognostic prediction model, consisting of ITPKA, PDIA2, SAA2, SHOX2, TREML3P, and ZIC2, is capable of predicting the prognosis of ccRCC patients. Among them, SAA2 promotes the proliferation, migration, and invasion of ccRCC cells.
目前,肾透明细胞癌(ccRCC)迫切需要预后预测模型。本研究旨在基于与TNM分期相关的差异基因建立预后预测模型,并通过体外和体内实验进行验证。
通过对ccRCC中T1-2与T3-4期、N1与N2期以及M0与M1期之间的差异基因进行交叉分析,采用多变量COX回归分析构建列线图预后模型。最后,通过体内和体外实验验证人血清淀粉样蛋白A2(SAA2)的功能。
通过对T1-2与T3-4期、N1与N2期以及M0与M1期之间的差异基因进行交叉分析,鉴定出67个基因。通过多变量COX回归分析、癌组织与正常组织表达差异检测以及对其预后影响评估,我们得出了一个由ITPKA、PDIA2、SAA2、SHOX2、TREML3P和ZIC2组成的列线图预后预测模型。此外,通过Transwell迁移和侵袭实验、EdU增殖实验以及体内实验,我们验证了SAA2促进ccRCC的增殖、迁移和侵袭。
由ITPKA、PDIA2、SAA2、SHOX2、TREML3P和ZIC2组成的列线图预后预测模型能够预测ccRCC患者的预后。其中,SAA2促进ccRCC细胞的增殖、迁移和侵袭。