Objective: To analyze the expression of Gasderminb(GSDMB)in bladder cancer by using bioinformatics technology through the study of public biological data platform,and to focus on the expression of GSDMB in bladder cancer and its clinical significance.Methods: The limma package of R(v.4.0.2)was used to analyze the differential expression of GSDMB in normal tissues and tumor tissues.Cox analysis method and Kaplan-Meier method were used to analyze the clinicopathological features of GSDMB expression and overall survival(OS)of 33 cancer patients in The Cancer Genome Atlas(TCGA).At the same time,the relationship between the expression of GSDMB and disease-specific survival(DSS),disease-free interval(DFI)and progression-free interval(PFI)was analyzed.Spearman correlation analysis was used to evaluate the significance of correlation between immune cell infiltration level and GSDMB expression.Spearman correlation analysis also detected the correlation analysis between GSDMB expression and tumor mutation burden(TMB),micro satellite instability(MSI)and DNA mismatch repair(DNA-MMR).The Wilcoxon rank sum test(two groups),the Kruskal-Wallis test(multiple groups),and logistic regression were used to analyze the relationship between clinical characteristics and OS in patients with TCGA bladder cancer.Cox regression and Kaplan-Meier methods were used to analyze the clinicopathological features of GSDMB expression and overall survival rate of bladder cancer patients in TCGA.Gene Set Enrichment Analysis(GSEA)was conducted using TCGA data set to explore the possible pathway of GSDMB regulating bladder cancer.Results: GSDMB was expressed differently between the tumor group and the normal group.In most cancer types,the high expression of GSDMB was positively correlated with the OS in most cancer types,except for BLCA and SKCM.GSDMB expression was positively correlated with immune infiltration,TMB,MSI,and methylation in several cancer types.Especially in BLCA,significant coefficients were obtained in most correlation analyses.In BLCA,GSDMB expression reduction was significantly associated with grade(OR = 4.55,high grade vs.low level),clinical stages(OR = 2.34,Ⅱ vs.Ⅳ)and state(OR = 0.51,survival and death).Kaplan-Meier survival analysis showed that the prognosis in the group with low expression of GSDMB was worse than that in the group with high expression(P=0.001).Univariate analysis showed that low GSDMB expression was significantly associated with poor overall survival(HR:0.93;95%CI:0.89-0.98;P=0.006).Multivariate analysis showed that GSDMB was independently associated with overall survival(HR = 0.711,95%CI:0.55-0.92;P =0.009).The expression of GSDMB protein was lower in bladder cancer than in normal bladder tissue.Kyoto encyclopedia gene and genome(KEGG)pathway analysis revealed that the most important pathways in the strongest BLCA correlation is olfactory transduction pathways,glioma,nod receptors signaling pathways,melanoma,renal cell carcinoma and TGF-beta signaling pathways such as cancer related pathways.Conclusion: The change of GSDMB gene expression is a risk factor for prognosis of pan-carcinoma and is related to immune infiltration.In particular,GSDMB expression was highly correlated with immune cell infiltration,TMB,MMR,and methyltransferase in bladder urothelial carcinoma.The high expression of GSDMB gene is an independent risk factor for the good prognosis of bladder cancer,and can be used as a marker to judge the prognosis of bladder cancer patients and a target for the treatment of tumors. |