Development and Validation of Prognostic Model for Lung Adenocarcinoma Patients Based on m6A Methylation Related Transcriptomics.
Development and Validation of Prognostic Model for Lung Adenocarcinoma Patients Based on m6A Methylation Related Transcriptomics.
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基于 m6A 甲基化相关转录组学的肺腺癌患者预后模型的开发和验证
DOI：
10.3389/fonc.2022.895148
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发表时间：
2022
影响因子：
4.7
通讯作者：
Tang, Zaixiang
中科院分区：
文献类型：
--
作者：
Li, Huijun;Liu, Song-Bai;Shen, Junjie;Bai, Lu;Zhang, Xinyan;Cao, Jianping;Yi, Nengjun;Lu, Ke;Tang, Zaixiang
现有研究表明，m6 A甲基化与癌症的预后密切相关。我们基于肺腺癌患者的m6 A相关转录组学开发了三种预后模型，并进行了外部验证。TCGA-LUAD队列作为推导队列，6个GEO数据集作为外部验证队列。第一个模型（mRNA模型）是基于m6 A相关mRNA开发的。采用LASSO和逐步回归方法筛选基因，并在多因素考克斯回归模型基础上建立预后模型。第二个模型（lncRNA模型）基于m6 A相关lncRNA构建。采用随机生存森林、LASSO、最佳子集选择和逐步回归四步筛选基因，建立考克斯回归预测模型。第三个模型将前两个模型的风险评分与临床变量相结合。用逐步回归法筛选变量。mRNA模型包括11个预测因子。内部验证C指数为0.736。lncRNA模型有15个预测因子。内部验证C指数为0.707。第三个模型将前两个模型的风险评分与肿瘤分期相结合。内部验证C指数为0.794。在验证集中，所有模型的C-指数都在0.6左右，有三个模型具有良好的校准精度。免费在线计算器在网上。
Existing studies suggest that m6A methylation is closely related to the prognosis of cancer. We developed three prognostic models based on m6A-related transcriptomics in lung adenocarcinoma patients and performed external validations. The TCGA-LUAD cohort served as the derivation cohort and six GEO data sets as external validation cohorts. The first model (mRNA model) was developed based on m6A-related mRNA. LASSO and stepwise regression were used to screen genes and the prognostic model was developed from multivariate Cox regression model. The second model (lncRNA model) was constructed based on m6A related lncRNAs. The four steps of random survival forest, LASSO, best subset selection and stepwise regression were used to screen genes and develop a Cox regression prognostic model. The third model combined the risk scores of the first two models with clinical variable. Variables were screened by stepwise regression. The mRNA model included 11 predictors. The internal validation C index was 0.736. The lncRNA model has 15 predictors. The internal validation C index was 0.707. The third model combined the risk scores of the first two models with tumor stage. The internal validation C index was 0.794. In validation sets, all C-indexes of models were about 0.6, and three models had good calibration accuracy. Freely online calculator on the web at .
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作者：
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影响因子：
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作者：
Liu, Jun'e;Li, Kai;Yi, Chengqi
通讯作者：
Yi, Chengqi
影响因子：
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作者：
Meyer KD;Saletore Y;Zumbo P;Elemento O;Mason CE;Jaffrey SR
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