Establishment of Serum Protein Pattern Model for Screening Gastric Cancer by Surface-enhanced Laser Desorption/ionization Time-of-flight Mass Spectrometry.
- VernacularTitle:应用SELDI-TOF-MS技术建立胃癌筛选血清蛋白质指纹图谱模型
- Author:
Chibo LIU
;
Yong LIANG
- Publication Type:Journal Article
- Keywords:
Gastric cancer;
SELDI-TOF;
Diagnosis;
Proteomics
- From:
Journal of Medical Research
2006;0(01):-
- CountryChina
- Language:Chinese
-
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.
