基于生物信息学构建胃癌免疫相关LncRNA预后风险模型  

Construction of an immune-related LncRNA prognostic risk model for gastric cancer based on bioinformatics

作　　者：姜华基 丁蔚 谭玉林[1] 壮麟 奚诚 徐逸昕[1] 王一波[1] 徐学忠[1] JIANG Huaji;DING Wei;TAN Yulin;ZHUANG Lin;XI Cheng;XU Yixin;WANG Yibo;XU Xuezhong(Depart-ment of General Surgery,Wujin Hospital Affiliated to Jiangsu University,Wujin Clinical College,Xuzhou Medical University,Changzhou 213017,China)

机构地区：[1]江苏大学附属武进医院,徐州医科大学武进临床学院普外科,常州213017

出　　处：《中国免疫学杂志》2024年第6期1203-1209,共7页Chinese Journal of Immunology

基　　金：江苏省常州市科技计划项目(CJ20210013);江苏省常州市卫生健康青苗人才培养工程项目(CZQM2020118);徐州医科大学附属医院发展基金项目(XYFY2020016)。

摘　　要：目的:基于生物信息学筛选出新的胃癌预后免疫相关LncRNAs,进一步构建免疫相关LncRNAs预后风险模型,以期作为胃癌早期诊断及判断预后状态的新指标。方法:从多重数据平台中下载胃癌转录组数据及相应的临床预后资料,运用生物信息学方法筛选出胃癌免疫相关LncRNAs。采用Cox回归分析筛选胃癌免疫预后相关LncRNAs,确定具有独立预后意义的免疫预后相关LncRNAs构建预后风险模型,计算每例患者的风险评分,根据截断值将患者分为低风险组和高风险组,采用Kaplan-Meier分析法进行生存分析并绘制生存曲线,绘制列线图并进行内部验证,同时单因素和多因素Cox回归分析风险评分和临床病理特征与胃癌患者生存预后的关系。结果:通过Cox回归分析确定3个免疫预后相关LncRNAs(UCA1、MIR4435-1HG、RP11-617F23.1),并构建预测评分模型,根据预后评分将患者分为高风险组和低风险组,生存曲线显示两组患者预后差异有统计学意义(P<0.05),多因素Cox回归分析风险评分为胃癌预后的独立危险因素,列线图内部验证显示可信度良好。结论:胃癌中免疫相关的LncRNAs与胃癌患者预后显著相关,基于其构建的预测评分模型可以有效预测预后,可作为其独立的预后生物标志物。Objective:Based on bioinformatics,new immune-related LncRNAs related to the prognosis of gastric cancer were screened,and a prognostic risk model of immune-related LncRNA was further constructed,in order to be used as a new indicator for early diagnosis and prognostic status of gastric cancer.Methods:The gastric cancer transcriptome data and corresponding clinical prog-nosis data were downloaded from multiple data platforms,and the immune-related LncRNAs of gastric cancer were screened by bioin-formatics methods.Cox regression analysis was used to screen LncRNAs related to immune prognosis in gastric cancer,and LncRNAs related to immune prognosis with independent prognostic significance were identified to construct a prognostic risk model,and the risk score of each patient was calculated.Patients were divided into low-risk and high-risk groups according to the cutpoint.Kaplan-Meier analysis was performed for survival analysis and survival curves were drawn,nomograms were drawn and internal validation was per-formed,and univariate and multivariate Cox regression analysis was performed to analyze the relationship between risk scores and clin-icopathological characteristics and survival prognosis of gastric cancer patients.Results:Three immune prognosis-related LncRNAs(UCA1,MIR4435-1HG,RP11-617F23.1)were identified by Cox regression analysis,and a predictive scoring model was constructed to divide the patients into high-risk group and low-risk group according to the prognosis score.There was a statistically significant dif-ference in the prognosis of patients between the two groups(P<0.05).The multivariate Cox regression analysis risk score was an inde-pendent risk factor for the prognosis of gastric cancer,and the internal verification of the nomogram showed good reliability.Conclu-sion:Three immune-related LncRNAs in gastric cancer are significantly correlated with the prognosis of gastric cancer patients,and the predictive scoring model constructed based on them can effectively predict the prognosis and can be us

关 键 词：胃癌 LncRNA 免疫 预后 

分 类 号：R735.2[医药卫生—肿瘤]