Identification of crucial genes associated with lung adenocarcinoma by bioinformatic analysis.

摘要: Lung cancer is the world's most common malignancies and ranks first among all cancer-related deaths. adenocarcinoma (LUAD) frequent histological type in lung cancer. Its pathogenesis has not yet been fully elucidated, so it of great significance to explore related genes for elucidating molecular mechanism involved occurrence development LUAD.To crucial associated with LUAD progression, microarray datasets GSE7670, GSE10072, GSE31547 were acquired from Gene Expression Omnibus (GEO) database. R language Limma package was adopted screen differentially expressed (DEGs). The clusterProfiler used enrichment analysis annotation ontology (GO) Kyoto Encyclopedia Genes Genome (KEGG) pathways DEGs. Search Tool Retrieval Interacting database (STRING) construct protein interaction network DEGs, while Cytoscape visualize it. functional module screened Cytoscape's MCODE (The Molecular Complex Detection) plugin. identified by cytoHubba Kaplan-Meier plotter online tool perform survival hub gene.Three hundred twenty-one DEGs total screened, which 105 upregulated 216 downregulated. It found that some GO terms (e.g., collagen trimer, extracellular structure organization, heparin binding, complement coagulation cascades, malaria, digestion absorption, PPAR signaling pathway) considerably enriched UBE2C, TOP2A, RRM2, CDC20, CCNB2, KIAA0101, BUB1B, TPX2, PRC1, CDK1 as genes. Survival showed overexpression PRC1 significantly reduced overall patients. One genes: UBE2C validated immunohistochemistry be tissues.This study out potential biomarkers LUAD, providing a theoretical basis evaluating prognosis LUAD.