Prediction and validation of core genes of lung adenocarcinoma based on bioinformatics
Objectives:To predict and validate the core genes of lung adenocarcinoma based on bioinformatics.Methods:GEO database was used to collect the lung adenocarcinoma dataset,and R software was used to process it.Tumor tissue samples and adjacent normal lung tissue samples of 36 patients with lung adenocarcinoma were collected and the expression level was verified.Results:The differentially expressed genes were mainly enriched in coil binding,glycosaminoglycan binding,heparin binding and extracellular matrix structural components,and were closely related to three pathways,Wnt signaling pathway,ECM-receptor interaction and tumor proteoglycan pathway.Among the seven core genes,the expression levels of five genes were statistically significant,namely PPBP,ADRA1B,CDCA8,CENPA and NMUR1.Conclusions:PPBP,ADRA1B,CDCA8,CENPA and NMUR 1 genes may be potential biomarkers of lung adenocarcinoma.
万方数据
维普
