| Objective:To make a proteomic analysis using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) on the serum of stageâ… gastric cancer patients and establish a early diagnostic model for identifying stageâ… gastric cancer preliminarily.Methods:Serum samples from 169 gastric cancer patients and 83 age and gender-matched healthy individuals were analyzed by SELDI-TOF-MS Protein Chip array technology. The resulting SELDI-TOF-MS spectral data were analyzed using the Biomarker Wizard TM and Biomarker PatternsTM software to find differential proteins and develop a classification tree for gastric cancer.Results:A total of 34 mass peaks were identified. Six peaks at mass:charge ratios (m/z) of 2873,3163,4526,5762,6121 and 7778 were used to construct the diagnostic modelâ… , The modelâ… could effectively distinguish gastric cancer samples from control samples, achieving a sensitivity and specificity of 93.49% and 91.57%, respectively. In addition, we identified three of the six protein peaks at 2873,6121 and 7778m/z, which could construct the diagnostic modelâ…¡. The modelâ…¡could distinguish between stageâ… gastric cancer and stageâ…¡/â…¢/â…£gastric cancer with an accuracy of 91.72%.Conclusion:Diagnostic models of serums proteins detects by SELDI-TOF-MS Protein Chip array technology correctly distinguishes gastric cancer from controls, and has significance for screening stageâ… gastric cancer from stageâ…¡/â…¢/â…£gastric cancer. SEI DI-FOF-MS is a useful tool for the detection and identification of new protein markers. |
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