Establishment of serum protein fingerfrint patterns of Uygur renal cancer in Xinjiang

Abstract

Objective To screen and build diagnostic model of Uygur's renal cancer in Xinjiang by surface-enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF-MS).Methods SELDI-TOF-MS and CM10 protein chip were used to detect the serum protein patterns of 45 cases of Uygur with renal cancer and 45 normal controls of Uygur.The data was analyzed and the diagnostic model was established by using ZUCI-protein chip data analyze system software package.The data of spectra were analyzed by support vector machine (SVM) to establish a diagnostic model which was evaluated and validated by leave one cross validation.Results Nine protein markers were identified with the relative molecular weights of 4296,4305,5914,5935,6116,6887,8085,8142,8573.The differences of these protein markers between renal cancer patients and controls were statistically significant (P ＜ 0.05).The detective model could differentiate renal cancer from healthy controls with the sensitivity of 100％ (45/45),and specificity of 91％ (41/45).The sensitivity and specificity of double blind confirmation procedure were 93％ (28/30) and 85％ (17/20),respectively.Conclusion The predictive models of Uygur's renal cancer in Xinjiang established by the differences of serum protein fingerprint could be a highly specific and sensitive diagnostic tool for renal cell carcinoma. Key words: Kidney neoplasms; Carcinoma; Protein fingerprinting