RU 16. Application of serum proteomic patterns for detection of renal cancer

Objective: To screen the distinct expression of serum proteins of renal cancer and to identify specific serum tumor markers.

Methods: Surface-enhanced laser desorption/inionation time of flight-mass spectrometry (SELDI-TOF-MS) and CM10 protein chip were used to detect the serum protein patterns of 72 patients with renal cancer, 30 controls with benign lesions, and 42 normal 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 further evaluated and validated by leave one cross validation.

Results: Six protein markers were identified with the relative molecular weights of 5947, 5912, 5937, 6114, 5344, and 5984, respectively. The differences of these protein markers between renal cancer patients and controls were statistically significant (P<0.01). The detective model could differentiate renal cancer from healthy controls with a sensitivity of 91.67% (66/72) and specificity of 93.06% (67/72). The sensitivity and specificity of double blind confirmation procedure were 91.43% (32/35) and 92.86% (39/42), respectively.

Conclusions: The predictive models was successfully built by the differences of serum protein fingerprint, which provides a novel, effective, and highly specific and sensitive diagnostic tool for renal cell carcinoma.