通过生物信息学分析鉴定9个预测吸烟诱导肺腺癌不良预后的关键基因。

Pub Date : 2020-04-27 DOI:10.2217/lmt-2020-0009

Chuanli Ren, Weixiu Sun, Xu Lian, Chongxu Han

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引用次数: 1

摘要

目的:筛选和鉴定与吸烟诱导肺腺癌(LUAD)发生发展相关的关键基因。材料与方法:数据来源于GEO芯片数据集GSE31210。用GEO2R筛选差异表达基因。利用STRING和Cytoscape构建了差异表达基因的蛋白相互作用网络。最后筛选核心基因。采用Kaplan-Meier法分析核心基因患者的总生存时间。通过DAVID计算基因本体和京都基因基因组生物积累百科全书。结果:功能富集分析表明，9个关键基因积极参与吸烟相关性LUAD的生物学过程。结论:23个核心基因和9个关键基因与吸烟所致LUAD不良预后相关。

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Identification of nine key genes by bioinformatics analysis for predicting poor prognosis in smoking-induced lung adenocarcinoma.

Aim: To screen and identify key genes related to the development of smoking-induced lung adenocarcinoma (LUAD).

Materials & methods: We obtained data from the GEO chip dataset GSE31210. The differentially expressed genes were screened by GEO2R. The protein interaction network of differentially expressed genes was constructed by STRING and Cytoscape. Finally, core genes were screened. The overall survival time of patients with the core genes was analyzed by Kaplan-Meier method. Gene ontology and Kyoto encyclopedia of genes and genomes bioaccumulation was calculated by DAVID.

Results: Functional enrichment analysis indicated that nine key genes were actively involved in the biological process of smoking-related LUAD.

Conclusion: 23 core genes and nine key genes among them were correlated with adverse prognosis of LUAD induced by smoking.

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