甲基化
单变量
DNA甲基化
腺癌
比例危险模型
肺癌
接收机工作特性
CpG站点
生存分析
肿瘤科
单变量分析
内科学
多元分析
多元统计
医学
计算机科学
计算生物学
生物
基因表达
遗传学
癌症
基因
机器学习
作者
Manyuan Li,Xinyu Deng,Dong Zhou,Xiaoqing Liu,Ji‐Gang Dai,Quan‐Xing Liu
标识
DOI:10.2174/0113892029277397231228062412
摘要
Objective: Specific methylation sites have shown promise in the early diagnosis of lung adenocarcinoma (LUAD). However, their utility in predicting LUAD prognosis remains unclear. This study aimed to construct a reliable methylation-based predictor for accurately predicting the prognosis of LUAD patients. Method: DNA methylation data and survival data from LUAD patients were obtained from the TCGA and a GEO series. A DNA methylation-based signature was developed using univariate least absolute shrinkage and selection operators and multivariate Cox regression models. Result: Eight CpG sites were identified and validated as optimal prognostic signatures for the overall survival of LUAD patients. Receiver operating characteristic analysis demonstrated the high predictive ability of the eight-site methylation signature combined with clinical factors for overall survival. Conclusion: This research successfully identified a novel eight-site methylation signature for predicting the overall survival of LUAD patients through bioinformatic integrated analysis of gene methylation markers used in the early diagnosis of lung cancer.
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