m6A RNA甲基化调节基因预测甲状腺癌的临床预后的作用  

Clinical prognosis of m6A RNA methylation-regulated genes in thyroid cancer

作　　者：吴洪渊 王媛媛[2] 傅友[2] 戴萌[2] 吴依芬 王刚 WU Hongyuan;WANG yuanyuan;FU You;DAI Meng;WU Yifen;WANG Gang(Department of Radiation Oncology,Nanfang Hospital,Southern Medical University,Guangzhou 510515,China;Department of Health Management,Nanfang Hospital,Southern Medical University,Guangzhou 510515,China;Department of Oncology,Affiliated Dongguan People's Hospital,Southern Medical University,Dongguan 523059,China;Department of Radiology,Affiliated Dongguan People's Hospital,Southern Medical University,Dongguan 523059,China)

机构地区：[1]南方医科大学南方医院放疗科,广东广州510515 [2]南方医科大学南方医院健康管理科,广东广州510515 [3]南方医科大学附属东莞市人民医院肿瘤内科,广东东莞523059 [4]南方医科大学附属东莞市人民医院放射科,广东东莞523059

出　　处：《分子影像学杂志》2020年第4期740-746,共7页Journal of Molecular Imaging

基　　金：广东省哲学社会科学“十二五”2013年度学科共建项目。

摘　　要：目的探索m6ARNA甲基化调节基因对THCA的与后续影响。方法分析癌症基因组图谱(TCGA)数据库中的RNA-seq数据及相关临床信息。通过wilcoxon检验分析肿瘤与正常样品之间m6A RNA甲基化调节基因的不同表达,使用lasso Cox回归分析构建m6A RNA甲基化调节基因与THCA的风险预后模型,使用中位风险评分将THCA患者分层为高风险组和低风险组,kaplan-Meier进行生存分析,使用ROC曲线用来评估预测模型的敏感性和特异性。结果肿瘤与正常样品之间m6ARNA甲基化调节基因的不同表达,3个基因上调,14个基因下调。lasso Cox回归分析筛选出4个m6ARNA甲基化调节基因IGF2BP2、FTO、IGF2BP1、RBM15。高风险组与低风险组相比,OS明显较低(P=4.278e-02)。ROC曲线中AUC值为0.783,结果显示预测模型较有效。单因素和多因素Cox回归进行模型效能检验,单因素Cox回归分析中HR值为2.083(P<0.001),多因素Cox回归分析中HR值为2.653(P<0.001)。结论m6A RNA甲基化调节基因IGF2BP2、FTO、IGF2BP1、RBM15可以构建预测模型来预测不同的临床亚群患者的OS。Objective To explore the correlation of m6A RNA methylation regulators and THCA.Methods We analyzed RNAseq data and related clinical information in the Cancer Genome Atlas(TCGA)database.The Wilcoxon test was used to analyze the different expressions of m6A RNA methylation-regulated genes between tumors and normal samples.A lasso Cox regression analysis was used to construct a risk prognosis model of m6A RNA methylation-regulated genes and THCA.The median risk score was used to divide THCA patients into high-risk group and low-risk group.Kaplan-Meier was performed for survival analysis.The ROC curve wa used to assess the sensitivity and feasibility of the prediction model.Results Different expression of m6A RNA methylation-regulated genes between tumors and normal samples showed 3 up-regulated genes and 14 down-regulated genes.Lasso Cox regression analysis screened four m6A RNA methylation regulating genes IGF2BP2,FTO,IGF2BP1 and RBM15.OS in the high-risk group was significantly lower than that in the low-risk group(P=4.278e-02).The AUC value in the ROC curve was 0.783.The univariate and multivariate Cox regression were used to test the effectiveness of the model.The HR value in the univariate Cox regression analysis was 2.083,(P<0.001).The HR value in the multivariate Cox regression analysis was 2.653(P<0.001).Conclusion The m6A RNA methylation regulatory genes IGF2BP2,FTO,IGF2BP1 and RBM15 can construct predictive models to predict OS in patients with different clinical subgroups.

关 键 词：m6ARNA甲基化 甲状腺癌 临床预后 

分 类 号：R736.1[医药卫生—肿瘤]