肾细胞癌内质网应激相关风险模型的建立与验证  

Establishment and validation of an endoplasmic reticulum stress-related risk model for renal cell carcinoma

作　　者：陈杨 朱君明 王震 吴筱辉 许宁[1,2,3] 薛学义[1,2,3] 郑清水[1,2,3] Yang Chen;Junming Zhu;Zhen Wang;Xiaohui Wu;Ning Xu;Xueyi Xue;Qingshui Zheng(Department of Urology,Urology Research Institute,The First Affiliated Hospital,Fujian Medical University,Fuzhou 350005,China;Department of Urology,Binhai Campus of The First Affiliated Hospital,Fujian Medical University,National Region Medical Center,Fuzhou 350212,China;Institute of Urology,Fujian Medical University,Fuzhou 350005,China)

机构地区：[1]福建医科大学附属第一医院泌尿外科,福州市350005 [2]福建医科大学附属第一医院滨海院区国家区域医疗中心泌尿外科 [3]福建医科大学泌尿外科研究所

出　　处：《中国肿瘤临床》2025年第3期127-133,共7页Chinese Journal of Clinical Oncology

基　　金：福建省自然科学基金项目(编号:2022J01704)资助。

摘　　要：目的:通过构建肾细胞癌内质网应激相关基因预后模型用于评估患者预后。方法:应用非负矩阵分解算法根据内质网应激相关基因鉴定分子亚组,采用加权相关网络分析鉴定亚组相关共表达基因。使用单变量Cox回归分析和LASSO回归分析构建风险预后模型。最后,进行初步实验验证,以确认模型基因在肾细胞癌中的生物学功能。结果:本研究发现了两个具有生存预后差异的分子亚组,并利用交集基因构建了一个新的内质网应激相关预后模型。高风险组患者在训练和验证队列中表现出显著较差的总生存率。体内实验表明,过表达PCK1能够减弱肾细胞癌细胞的增殖、迁移和侵袭。结论:本研究构建的风险评分模型能够有效预测肾细胞癌患者的生存概率,作为肾细胞癌患者预后预测的独立指标,以期为个体化治疗提供新的方向。Objective:To establish a prognostic model based on endoplasmic reticulum stress-related genes for evaluating the prognosis of patients with renal cell carcinoma.Methods:This study utilized Non-negative Matrix Factorization to identify molecular subgroups based on endoplasmic reticulum stress-related genes and employed Weighted Correlation Network Analysis to determine co-expressed genes associated with these subgroups.A risk prognostic model was constructed using univariate Cox regression analysis and Lasso regression analysis.Preliminary experimental validations were conducted to elucidate the biological functions of model genes in renal cell carcinoma.Results:Two molecular subgroups with distinct survival prognoses were identified,and an intersection of related genes was used to construct a novel endoplasmic reticulum stress-related prognostic model.Patients in the high-risk group exhibited significantly poorer overall survival in both the training and validation cohorts.In vivo experiments demonstrated that PCK1,a model gene,could inhibit the proliferation,migration,and invasion of renal cell carcinoma cells.Conclusions:The risk scoring model developed in this study effectively predicts the survival probability of renal cell carcinoma patients and can serve as an independent prognostic indicator.This model offers a new direction for personalized treatment strategies in renal cell carcinoma patients.

关 键 词：肾细胞癌 内质网应激基因 预后模型 免疫浸润 

分 类 号：R73[医药卫生—肿瘤]