Background. Lung adenocarcinoma (LUAD) is the most common pathological type of lung cancer. The purpose of this study is to search for genes related to the prognosis of LUAD through methylation based on a linear mixed model (LMM). Methods. Gene expression, methylation, and survival data of LUAD patients were downloaded from the TCGA database. Based on the LMM model, the GEMMA algorithm was used to screen the predictive genes related to LUAD survival. The Cox model was used to further screen the predicted genes, and then, protein-protein interaction (PPI) network was constructed. Through the software plugin Cytoscape MCODE 3.8.0, the most closely related genes in the PPI network module were selected for in-depth biological function analysis to further explore the interaction and correlation between genes. Results. We screened out 97 predictive genes from 18,834 genes and eliminated one gene associated with lung squamous cell carcinoma from previous studies, leaving 96 genes. The MCODE and the Kaplan-Meier curve analysis were used to finally identify two genes ASB16 and NEDD4 that are related to the prognosis of LUAD. Conclusions. The newly identified two genes associated with the prognosis of LUAD may provide a basis for the treatment of patients.

中文翻译：

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通过甲基化鉴定与肺腺癌存活相关的潜在基因

背景。肺腺癌（LUAD）是肺癌最常见的病理类型。本研究的目的是基于线性混合模型（LMM）通过甲基化寻找与LUAD预后相关的基因。方法. 从 TCGA 数据库下载 LUAD 患者的基因表达、甲基化和生存数据。基于LMM模型，采用GEMMA算法筛选与LUAD存活相关的预测基因。Cox模型用于进一步筛选预测基因，然后构建蛋白质-蛋白质相互作用（PPI）网络。通过软件插件Cytoscape MCODE 3.8.0，选取PPI网络模块中最密切相关的基因进行深入的生物功能分析，进一步探索基因之间的相互作用和相关性。结果. 我们从 18,834 个基因中筛选出 97 个预测基因，并从之前的研究中剔除一个与肺鳞状细胞癌相关的基因，留下 96 个基因。MCODE和Kaplan-Meier曲线分析最终确定了与LUAD预后相关的两个基因ASB16和NEDD4。结论。新发现的两个与LUAD预后相关的基因可能为患者的治疗提供依据。