[Protein profiles of serum in gastric cancer at a high-risk area by SELDI-TOF mass spectrometry].
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.


CONCLUSIONS
Our findings suggest that SELDI profiling of serum might be a potential for gastric cancer detection and screening in high-risk population.
Wang
Yu-Shu
YS
Peking University Science Center, Peking University Health Science Center, Beijing 100124, China.
Shen
Jing
J
Yu
Jie-Kai
JK
Zhang
Lian
L
Ma
Jun-Ling
JL
You
Wei-Cheng
WC
Pan
Kai-Feng
KF
D000368:Aged; D014408:Biomarkers, Tumor / Q000097:blood*; D001798:Blood Proteins / Q000235:genetics*; D016022:Case-Control Studies; D002681:China / Q000453:epidemiology; D015331:Cohort Studies; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D013058:Mass Spectrometry; D008875:Middle Aged; D010449:Peptide Mapping; D040081:Protein Array Analysis; D013274:Stomach Neoplasms / Q000097:blood* / Q000175:diagnosis / Q000453:epidemiology
D014408:Biomarkers, Tumor; D001798:Blood Proteins