Objective: To explore the specific and sensitive biomarkers for gastric cancer detection, a surface-enhanced laser desorption and ionization protein chip mass spectrometry (SELDI-TOF-MS) was used to generate protein profiles of serum in gastric cancer at a high-risk area.
Methods: A total of 36 gastric cancer cases and 46 subjects with superficial gastritis were selected from Linqu county, Shandong province, a high-risk area of gastric cancer. Serum samples were collected and Q10 protein chips were used to detect the serum proteomic patterns, and the sensitivity and specificity were assessed.
Results: For the comparison of the gastric cancer group (26 out of 36 gastric cancer cases) versus superficial gastritis group (37 out of 46 subjects), the 6 most discriminating peaks (m/z 8587, 6945, 8243, 3899, 7035, and 9943) were identified by the ProteinChip Data Analysis System (ZUCIPDAS). The sensitivity and specificity of this pattern were 88.5% and 97.3%, respectively. A total of 19 subjects (10 gastric cancer cases and 9 superficial gastritis subjects) was selected to test the accuracy of this pattern by using blind method, and the sensitivity and specificity were 80.0% and 88.9% ,respectively.
Conclusion: Our findings suggest that SELDI profiling of serum might be a potential for gastric cancer detection and screening in high-risk population.