Analysis Of Gene Expression And Function At Different Stages Of Lung Adenocarcinoma

Lung adenocarcinoma is a dynamic and diverse disease that is at the forefront of malignant tumors,both in morbidity and mortality.It is divided into four stages in the clinic,and there is a lack of specificity in the early stage,making it difficult to make an accurate diagnosis.The development and progression of lung adenocarcinoma requires the regulation of multiple genes and proteins.Based on multi-platform chip data,this thesis uses a variety of bioinformatics methods to analyze the gene expression and function at different stages of lung adenocarcinoma.In this paper,all the multi-platform gene chip expression profiles at different stages of lung adenocarcinoma were downloaded in the Array Express database.Quality control,pre-processing and probe annotation were performed on the expression data of different platforms,and then the Empirical Bayes method was used for data integration.According to the clinical staging information,the gene expression data of normal and lung adenocarcinoma at different stages were obtained.Firstly,differential expression analysis,the differentially expressed genes were functionally enriched,and constructed a protein-protein interaction network at each stage.Secondly,the construction of the gene co-expression network,and the module genes by gene co-expression network clustering were functionally enriched,and the distribution of differentially expressed genes in the module was further analyzed and the core gene of the module was mined using the degree distribution.Finally,the results of gene expression difference analysis and gene co-expression network analysis were analyzed,and the genes and functions at different stages of lung adenocarcinoma were explored.After analysis of gene expression differences,protein-protein interaction network analysis and gene co-expression network analysis,some important functions and key genes were discovered at four different stages of lung adenocarcinoma.Such as IL6,EGF,EZH2,SPP1,CAV1,KIF11,FGFR4,AGER,TOP2 A,CCNB1,BIRC5,KIF2 C,CDC20,AURKB,HABP2,TWIST1,NOTCH4,NFIX,CBX7,B3GALNT1,GDF15,FGF2,MMP9,RRM2 and so on.These genes are closely related to the occurrence and development of lung adenocarcinoma.The cell cycle pathway and the ECM-receptor interaction pathway are significantly enriched at four stages of lung adenocarcinoma,while the p53 signaling pathway and the PI3K-Akt signaling pathway are significantly enriched in stage II and III of lung adenocarcinoma.Changes in the amount of gene expression(up-or down-regulation)activate or inhibit signaling pathways,which in turn play a role in the development or progression of the disease.This paper successfully integrated multi-platform chip expression data,and used gene expression differences analysis,protein-protein interaction network and gene co-expression network to analyze gene expression and function at different stages of lung adenocarcinoma,And finally get some key genes and functional pathways.These key genes and functional pathways are involved in the infiltration and migration of lung adenocarcinoma cells,and are important factors influencing the development of lung adenocarcinoma diseases.They can be used as promising prognostic biomarkers and potential cancer therapeutic targets for further study of lungs.And provide further research directions for further study of the pathogenesis and stage of lung adenocarcinoma.