基于数据挖掘分析MTERF2基因在子宫内膜癌的表达及意义

Expression and Significance of MTERF2 Gene in Endometrial Carcinoma:Evidence from Data Mining

目的:基于数据挖掘分析线粒体转录终止因子2(MTERF2)基因在子宫内膜癌及正常子宫内膜组织中的表达情况,并进一步探讨MTERF2对子宫内膜癌患者预后的影响。方法:利用Oncomine数据库分析MTERF2基因DNA拷贝数在子宫内膜癌组织中的变化;利用cBioportal分析MTERF2基因在子宫内膜癌组织中的突变情况;通过基因表达谱动态分析(GEPIA)探讨人体正常组织及其相应的肿瘤组织中MTERF2基因的表达差异;经MethHC分析子宫内膜癌和正常子宫内膜组织中MTERF2基因DNA启动子区甲基化水平的差异;利用OncoLnc对MTERF2基因的表达水平与子宫内膜癌患者生存率做Kaplan-Meier生存分析和Log-Rank检验;在String-DB数据库中探索MTERF2基因在线粒体DNA表达调控过程中关系密切的相关基因。结果:与正常子宫内膜组织相比,子宫内膜癌组织中MTERF2基因DNA拷贝数无明显变化(P>0.05),在mRNA水平呈显著低表达(P<0.05),DNA启动子区甲基化水平显著降低(P<0.005);MTERF2基因的表达水平与子宫内膜癌患者的总体生存时间无显著相关性(Log-Rank P>0.05);TFB1M、TFB2M、POLMT、MTERFD1、MTERFD2、PTCD1、SSBP1、COA3、HDGFRP3等基因与MTERF2基因关系密切,可能存在相互作用。结论:大样本数据挖掘能迅速获取子宫内膜癌组织中MTERF2基因表达的相关信息,为深入探究MTERF2基因在子宫内膜癌发生发展中的作用机制及其预后价值奠定基础。

Objective： Based on data mining, the expression of mitochondrial transcription termination factor 2 （MTERF2） in endometrial carcinoma and normal tissues and its impact on the prognosis of endometrial carcinoma were analyzed. Methods： The DNA copy number of MTERF2 gene in endometrial carcinoma was determined by Oncomine database. The gene mutations of MTERF2 in endometrial carcinoma were analyzed by cBioportal online tool. The different in expression of MTERF2 gene in normal tissues and their corresponding tumor tissues was analyzed by Gene Expression Profiling Interactive Analysis（GEPIA）. MethHC analysis was used to analyze the differences of MTERF2 gene DNA promoter methylation level in endometrial carcinoma and normal endometrial tissue. The correlation between the expression level of MTERF2 gene and the survival time of patients with endometrial carcinoma were analyzed by OncoLnc. The location of MTERF2 in the process of mitochondrial gene transcription and the genes associated with MTERF2 were explored in the String-DB database. Results： Compared with normal endometrial tissues, the mRNA expression level of MTERF2 were decreased, and the methylation level of MTERF2 gene promoter were also significantly decreased in the endometrial crrcinoma tissues. The expression level of MTERF2 gene have no correlation to the overall survival time of endometrial crrcinoma patients. The TFB1M, TFB2M, POLMT, MTERFD1, MTERFD2, PTCD1, SSBP1, COA3, HDGFRP3 genes have obvious interaction with MTERF2 gene. Conclusion： Large sample data mining can quickly obtain information about the expression of MTERF2 in endometrial carcinoma, which lays a foundation of the further study of the function and mechanism of MTERF2 gene in endometrial carcinoma.