Department of Toxicology, College of Public Health, Zhengzhou University, Zhongyuan District, Zhengzhou, Henan Province, China.
Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhongyuan District, Zhengzhou, Henan Province, China.
Int J Environ Health Res. 2023 Mar;33(3):243-257. doi: 10.1080/09603123.2021.2016660. Epub 2021 Dec 27.
This study aims to identify potential core genes of lung adenocarcinoma (LUAD). Three datasets (GSE32863, GSE43458, and GSE116959) were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between LUAD and normal tissues were filtrated by GEO2R tool. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed via Metascape database. The protein-protein interaction (PPI) network was constructed and core genes were identified using STRING and Cytoscape. Core genes expressions and their relevant clinical characteristics were performed via Oncomine and UALCAN databases respectively. The correlation between core genes and immune infiltrates was investigated by TIMER database. Kaplan-Meier plotter was performed for survival analysis. The signal pathway network of core genes was mapped by KEGG Mapper analysis tool. In this study, ten core genes were significantly related to overall survival (OS) of LUAD patients, which can provide clues for prognosis of LUAD.
本研究旨在鉴定肺腺癌（LUAD）的潜在核心基因。从基因表达综合数据库（GEO）中检索了三个数据集（GSE32863、GSE43458 和 GSE116959）。通过 GEO2R 工具筛选 LUAD 和正常组织之间的差异表达基因（DEGs）。通过 Metascape 数据库进行基因本体论（GO）和京都基因与基因组百科全书（KEGG）通路分析。使用 STRING 和 Cytoscape 构建蛋白质-蛋白质相互作用（PPI）网络并鉴定核心基因。通过 Oncomine 和 UALCAN 数据库分别进行核心基因表达及其相关临床特征的分析。通过 TIMER 数据库研究核心基因与免疫浸润之间的相关性。通过 Kaplan-Meier plotter 进行生存分析。通过 KEGG Mapper 分析工具绘制核心基因的信号通路网络。在这项研究中，十个核心基因与 LUAD 患者的总生存率（OS）显著相关，可为 LUAD 的预后提供线索。
