RU 15. Establishment of serum protein fingerfrint patterns of uygur's renal cancer in Xinjiang

Objective: To screen and build a 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 in 45 Uygur patients with renal cancer and 45 normal Uygur controls. The data was analyzed and the diagnostic model was established by using ZUCI-protein chip data analysis 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, and 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 cance from healthy controls with a sensitivity of 100.00% (45/45) and specificity of 90.91% (41/45). The sensitivity and specificity of double blind confirmation procedure were 93.33% (28/30) and 85.00% (17/20), respectively.

Conclusions: The predictive models of Uygur's renal cancer in Xinjiang was successful established by the differences of serum protein fingerprint, which provides a highly specific and sensitive diagnostic tool for renal cell carcinoma.