| Nowadays,cancer is considered to be one of the most complicated human diseases with high morbidity and mortality in the world.Cancer key genes play a crucial role in the formation and development of cancer.Because of the complexity of the cancer itself,the diversity of the causes of the disease,and the limitation of the experimental methods at the present stage,it has become a difficult problem to accurately identify the key genes of cancer.Genome-wide gene expression profiles are widely used to identify biomarkers and therapeutic targets for a single type of cancer,however few studies have been done to identify the biomarkers and therapeutic targets for multiple types of cancers.To solve these problems,this paper constructs a system biological model based on gene expression profile and biomolecular interaction network.It is used to comprehensively analyze the key genes of renal cell carcinoma,prostate cancer and ovarian cancer in the genitourinary system.Microarray datasets GSE36895,GSE46602,GSE14407 are downloaded from the Gene Expression Omnibus database.Limma package in R language is used to screen differentially expressed genes(DEGs).The DAVID database is used for functional and pathway enrichment analysis for DEGs.Protein-protein interaction(PPI)network is established by BioGRID.Subsequently,the Pearson correlation analysis is performed on the PPI network.Finally,the key genes of three cancers of genitourinary system are identified effectively.Through comparative analysis of the gene expression profiles of the three cancers,this paper excavates potential genes for the three cancers,and discovers significant enrichment pathways for these genes at the level of the genitourinary system,including the cell adhesion process,p53 signaling,Chemokine signaling pathway,the ECM-receptor and cell cycle pathways,Oocyte meiosis and the immune and inflammatory response processes.It helps us to provide potential targets for the cancer diagnosis and treatment in the future. |
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