Bioinformatics Analyses Of Hub Gene And Branched-chain Amino Acid Metabolic Gene Expression Patterns In Non-small Cell Lung Cancer

Lung cancer is the most frequent cancer and the leading cause of cancer death worldwide.Non-small cell lung cancer(NSCLC)is the major type of lung cancer.Due to the multiple types,complicated causes of disease and lack of symptoms in the early stage,the prognosis of NSCLC is disappointing.The aberrant gene expression plays an important role in the pathogenesis of the NSCLC.Anlysis of these aberrant gene expression events can help us to undertstand the pathological mechanisms of NSCLC and find the biomarkers of NSCLC.In this study,we analyzed the m RNA expression and the overall survival of NSCLC patients in the GEO and K-M plotter database and identifed 900 differentially expressed genes associated with overall survival.We also analyzed the function and pathways disturbed by these genes.Then,we identified six hub genes by constructing the protein-protein interaction network of these genes and validated the correlation of their expression and overall survival.We also performed bioinformatics ananlysis of branched-chain amino acid(BCAA)metabolic genes in NSCLC.Insterestingly,NSCLC cell shows the gene expression pattern of inhibition of BCAA catabolism after we analyzed the m RNA,protein and survival data of NSCLC in the GEO,TCGA,HPA and K-M plotter.Finally,we validated that activation of BCAA catabolism by inhibiting BCKDK could inhibit the NSCLC cell proliferation.