RESUMEN
Objective To screen the epithelial mesenchymal transformation(EMT)-related genes in lung adenocarcinoma,perform functional enrichment analysis and construct protein interaction network(PPI).Ac-cording to the competitive endogenous RNA(ceRNA)hypothesis and the effect of gene expression on the prognosis of patients,the ceRNA network was constructed.Methods The differentially expressed genes be-tween lung adenocarcinoma tissues and normal tissues were screened by gene expression map and tumor ge-nome map database,and the genes were imported into GenClip3 to obtain EMT-related genes.Metascape was used to perform gene ontology and Kyoto encyclopedia of gene and genome enrichment analysis,and STRING database was used to construct PPI and obtain EMT key genes.The relationship between key genes and prog-nosis was analyzed by Kaplan-Meier analysis.Analysis tools such as miRTarbase,miRNet database,and EN-CORI were used to construct ceRNA networks.Results In this study,156 lung adenocarcinoma EMT-related genes and their key genes cadherin 1,interleukin-6,matrix metalloproteinase-9,platelet endothelial cell adhe-sion molecule,cyclin-dependent kinase inhibitor 2A,α1-Ⅰcollagen gene,secreted phosphoprotein 1,TIMP in-hibitor of matrix metalloproteinase-1,caveolin-1 and Zeste homologue enhance core 2(EZH2)-1 were identi-fied.The PPI of key genes was predicted,and the therapeutic drugs targeting these key genes including salvia miltiorrhiza,ginseng lu,ginseng leaf and ginseng flower were also predicted.The prognostic ceRNA regulatory network of EZH2/hsa-miR-101-3p/GSEC was constructed.Conclusion This study describes using bioinfor-matics methods system in the process of EMT gene interactions,according to the lung adenocarcinoma pa-tients clinical data to construct the prognosis of the EMT process related ceRNA network,for the treatment and prognosis of lung adenocarcinoma judgment provides a new way of thinking.