Construct A Prognostic Protein Risk Score Model For Muscular-invasive Bladder Carcinoma

Purpose: To explore the possible prognosis-related proteins of muscle-invasive bladder urothelial carcinoma,try to predict the prognosis of muscle-invasive bladder urothelial carcinoma based on these proteins,and establish a risk score model.Methods: Download relevant protein profiles,gene expression data and corresponding clinical feature data from The Cancer Proteome Atlas（TCPA）and The Cancer Genome Atlas（TCGA）.With the help of bioinformatics,Kaplan-Meier（KM）method and univariate COX regression analysis were used to screen out the proteins associated with the prognosis and survival of patients with muscle-invasive bladder carcinoma（MIBC）.Then,multivariate COX regression analysis was performed on these prognostic and survival-related proteins,and the key prognostic-related proteins were finally obtained.We explored the underlying molecular mechanisms and properties of these key proteins associated with the prognosis of muscle-invasive bladder cancer,established a risk-scoring model of muscle-invasive bladder cancer prognosis-related proteins,and validated the model.The correlation between the obtained prognostic proteins and co-expressed proteins was represented by drawing a Sankey diagram,and the six prognostic related proteins were imported into Cytoscape to draw the protein protein interaction network（PPI,protein protein interaction network）of the key prognostic proteins.In addition,we converted these key proteins into corresponding genes and explored the changes of these genes.Finally,the relationship between the corresponding genes and immune infiltration was analyzed in the Tumor Immunity Database（TIMER）.Results: A total of 6 proteins were obtained that were determined to be significantly associated with the prognosis of MIBC,and a prognostic risk score model for muscle-invasive bladder cancer was constructed based on these proteins（BECLIN,EGFR,SRC,ANNEXIN1,AXL,and RICTOR）.The genes of these proteins were altered to varying degrees in bladder cancer cells,and ANXA1,AXL,and EGFR were positively correlated with CD8+ T cells.Conclusion: We obtained 6 proteins associated with the prognosis of muscle-invasive bladder cancer and constructed a prognostic protein risk score model for muscle-invasive bladder cancer.The abnormal expression of these six prognosis-related proteins may be caused by the corresponding gene changes.Furthermore,these genes may influence patient survival through immune cell infiltration.