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

To screen and identify key genes related to the development of smoking-induced lung adenocarcinoma (LUAD). 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. Functional enrichment analysis indicated that nine key genes were actively involved in the biological process of smoking-related LUAD. 23 core genes and nine key genes among them were correlated with adverse prognosis of LUAD induced by smoking.

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© 2020 Chuanli Ren.

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Financial & competing interests disclosure This study was supported by the National Nature Science Foundation of China (81573220), the Foundation for Young Medical Scholar in Jiangsu Province (QNRC2016325; QNRC2016333) and Foundation for Young Medical Scholars in Yangzhou (RCC201835). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. We thank C Kerr from Liwen Bianji, Edanz Editing China (www.liwenbianji.cn/ac), for editing the English text of a draft of this manuscript.