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In order to better predict the prognosis of lung adenocarcinoma (LUAD) and develop targeted gene therapy, we need to further understand the molecular mechanism of lung adenocarcinoma. The purpose of this study is to screen out biomarkers that may be related to the pathogenesis and prognosis of lung adenocarcinoma. Use limma package to find the differentially expressed genes (DGEs) related to LUAD from GSE7660, GSE32863, GSE75037, GSE116959 and LUAD data in the TCGA database downloaded from GEO. Using differential gene analysis method, a total of 189 overlapping differential genes were screened out. The KEGG pathway enrichment analysis using R clusterProfiler package found that 189 differential genes were concentrated in focal adhesion and proteoglycan enrichment in cancer. Using the protein-protein interaction (PPI) network, 10 pivot genes (TOP2A, AURKA, TK1, UBE2C, PRC1, ASPM, AURKB, TRIP13, CCNB2, MELK) were identified. Compared with normal tissues, the expressions of 10 hub genes in LUAD tissues are all up-regulated. Survival analysis of 10 hub genes showed that the high expression of TOP2A, PRC1, ASPM, TRIP13, and MELK in patients with lung adenocarcinoma was associated with survival (OS). In conclusion, our research shows that survival-related hub genes are highly correlated with the occurrence and development of lung cancer. Therefore, TOP2A, PRC1, ASPM, TRIP13, and MELK may play an important role in the progression of lung adenocarcinoma, and may become potential biomarkers for diagnosis and treatment in the future.
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