EPCR-PAR1抗炎通路在肾透明细胞癌中的预后价值  

Prognostic value of EPCR-PAR1 anti-inflammatory pathway in kidney renal clear-cell carcinoma

作　　者：常地超 刘轩绮 朱凌妍 白力[1,2] CHANG Dichao;LIU Xuanqi;ZHU Lingyan;BAI Li(Department of Rheumatology and Immunology,The First Affiliated Hospital of Baotou Medical College,Baotou 014010,China;The Central Laboratory of the First Affiliated Hospieal of Baotou Medical College(Inner Mongolia Key Laboratory of Autoimmunology))

机构地区：[1]包头医学院第一附属医院风湿免疫科,内蒙古包头014010 [2]包头医学院第一附属医院中心实验室(内蒙古自体免疫学重点实验室)

出　　处：《包头医学院学报》2025年第1期60-67,共8页Journal of Baotou Medical College

基　　金：国家自然科学基金项目(82160309);内蒙古自然科学基金项目(2020LH08001);包头医学院秦文斌基金项目(BYJJ-QWB202006);包头医学院科研创新项目(No.bycx2020011)。

摘　　要：目的:分析EPCR-PAR1抗炎通路与肾透明细胞癌(renal clear cell carcinoma,KIRC)的关系,进行深入全面的生物学分析,探索KIRC的新治疗靶点。方法:系统分析来自肿瘤基因组图谱数据库(the cancer genome atlas,TCGA)的KIRC癌组织和正常组织样本中EPCR-PAR1通路8个抗炎基因的表达,采用LASSO回归、COX回归构建预后指数,分析EPCR-PAR1通路相关抗炎基因表达与KIRC患者预后的关联。结果:本研究构建了一个包含5个基因的风险评分模型(Risk score=0.10082×F3+0.04640×PROC-0.35321×vWF+0.15282×CAV1+0.18069×GRK5),通过时间依赖性ROC曲线分析模型的预测能力,结合Risk score和临床因素构建的预后模型具有良好的预测性能。将相关临床病理特征和风险评分进行单变量和多变量Cox回归分析发现,风险评分(HR=3.2,95%CI=1.9-5.6,P<0.0001)是肾透明细胞癌的独立危险因素。结论:EPCR-PAR1抗炎通路中这8个基因可作为KIRC预后的辅助标志物。Objective:In this study,we analyzed the relationship between the EPCR-PAR1 anti-inflammatory pathway and Kidney renal clear-cell carcinoma(KIRC),conducted an in-depth and comprehensive biological analysis,and explored new therapeutic targets in KIRC.Methods:We systematically analyzed expression of eight anti-inflammatory genes of the EPCR-PAR1 pathway in KIRC and normal samples from The Cancer Genome Atlas(TCGA)KIRC database.Using least absolute shrinkage and selection operator LASSO cox regression analysis to get a prognostic signature based on EPCR-PAR1 pathway expression.Results:We created a five-gene risk score model(risk score=0.10082×F3+0.04640×PROC-0.35321×vWF+0.15282×CAV1+0.18069×GRK5).The prediction ability of the model was analyzed by the time-dependent ROC curve,and the prognosis model constructed by combining risk score and clinical factors had good prediction performance.Univariate and multivariate Cox regression analyses of relevant clinicopathological characters and risk score revealed that risk score was an independent risk factor for KIRC[hazard ratio(HR),3.2;95%confidence interval(CI),1.9-5.6;P<0.0001].Conclusion:Genes in the EPCR-PAR1 anti-inflammatory pathway could serve as auxiliary markers in the diagnosis and prognosis of KIRC.

关 键 词：EPCR-PAR1抗炎通路 KIRC 风险评分模型 

分 类 号：R737.11[医药卫生—肿瘤]