Establishment of Serum Protein Pattern Model for Screening Gastric Cancer by Surface-enhanced Laser Desorption/ionization Time-of-flight Mass Spectrometry / 医学研究杂志

ABSTRACT

Objective To detect the serum proteomic patterns using SELDI-TOF-MS ProteinChip array technology in gastric cancer,screen biomarker candidates,build diagnostic models and evaluate its clinical significance in early gastric cancer.Methods SELDI-TOF-MS ProteinChip was used to detect the serum proteomic patterns of 40 patients with gastric cancer and 30 healthy people.The diagnostic models were developed and validated by discriminant analysis.Results The model composed by 3 protein peaks 8592m/z、13725m/z and 8678m/z could do the best in the diagnosis of gastric cancer.The specificity and sensitivity of it were 86.5%(26/30)and 90%(36/40)respectively.Conclusions This method show great potential for the early detection,staging before operation and screening novel and better biomarkers to early gastric cancer.