The study on the serum proteomic fingerprints in gastric carcinoma patients by SELDI technique
- VernacularTitle:SELDI技术筛选胃癌相关血清蛋白质指纹图谱的临床研究
- Author:
Li XIE
;
Xiaojun MA
;
Qi LI
;
Bo LI
;
Yi PEI
- Publication Type:Journal Article
- Keywords:
Proteomics;
Stomach neoplasms;
Spectrometry,mass,matrix-assisted laser desorption-ionization
- From:
Journal of Chinese Physician
2008;10(7):898-900
- CountryChina
- Language:Chinese
-
Abstract:
Objective To detect serum protein spectrum in gastric cancer, screen the serum proteins related to gastric carcinoma and build auxiliary diagnosis model with SELDI-TOF-MS, Methods The serum proteomic fingerprints were detected by SELDI-TOF-MS and CM10 proteinchip. The sera came from 50 first visit gastric cancer patients who were diagnosed by pathological method and 16 healthy peo- ple. The data were analyzed by Biomarker Wizard Software and the proteomic fingerprint of gastric carcinoma model was developed by BPS (biomarker pattern software). Results Compared with the healthy people group, there were 34 significant different protein peaks in the gas- tric carcinoma group. And the diagnosis model composed with 6 proteins (M/Z values were 6016, 6744, 2822, 4474, 7892 and 3242) could classify the 2 groups correctly. In the test group, the sensitivity and specificity were 96% and 93.75% respectively, the accuracy was 95.45%. Conclusion SELDI-TOF-MS method show features such as microcontent, fast and high- resolution etc. It could be utilized to screen significant proteins and develop an auxiliary diagnosis model in gastric carcinoma, which may be used to diagnose this disease.
