Difference Analysis Of Lipidomics Between Bladder Cancer And Paracancer Tissue

Objective:To investigate the roles of abnormal lipid metabolism in the development of bladder cancer using lipid metabonomics,with the aim of finding new strategies for diagnosing bladder cancer.Methods: We collected samples from ten patients with pathologically confirmed bladder urothelial carcinoma(stage p T2 or higher)after radical cystectomy in our center.Cancer and adjacent normal tissues were collected,and ultra-high performance liquid chromatography was used to analyze the difference in metabolites.The samples were pretreated and tested for quality before lipid detection.UHPLC-MS/MS was used to determine the lipid components and quantitatively analyze the levels of each lipid component.The data was compared with the human metabonomics database and the standard substances.Clustering analysis,principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA)were performed to determine the differences in lipid metabolites between cancer and adjacent normal tissues,followed by functional enrichment analysis.Results:The LC-MS/MS test results showed that three types of bioactive lipid metabolites were detected in the tissues of bladder cancer patients with stage p T2 or higher,including glycerol phospholipids(PC,PE,PS,PG,PI,CL,etc),glycerol lipids(TG,DG,etc),and sphingolipids(SM,Cer,Hex2 Cer,Hex1Cer,etc).Volcanic map,clustering analysis,PCA and OPLS-DA showed that there were different lipid profiles between cancer and adjacent normal tissues,and the expression levels of various lipid metabolites were significantly different.Bladder cancer tissues had significantly higher levels of some lipid classes,including Hex2 Cer,PE,PC,and PS.Among these,Cer(t18:0＿24:0)was the highest lipid metabolite identified in cancer tissues.Additionally,bladder cancer tissues had lower levels of TG lipid class compared to adjacent normal tissues.Conclusion: UHPLC-MS/MS technology has stability and repeatability in the detection of tumor lipid metabolites.The lipid profiles of bladder cancer and adjacent normal tissues show intergroup differences in lipid content,chain length,and saturation level.By combining functional analysis of individual lipid metabolites,it helps to reveal the mechanisms underlying bladder cancer development and helps to discover novel dignostic biomarkers.