Establishment of a diagnostic model of serum protein fingerprint pattern for esophageal cancer screening in high incidence area and its clinical value.
- Author:
Shi-Jie WANG
1
;
Li-Wei ZHANG
;
Wei-Fang YU
;
Jie-Kai YU
;
Shu ZHENG
;
Ying-Sai LI
;
Li-Mian ER
;
Deng-Gui WEN
;
Jin-Hong GAO
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Aged; Blood Proteins; analysis; chemistry; Carcinoma, Squamous Cell; blood; diagnosis; epidemiology; China; epidemiology; Esophageal Neoplasms; blood; diagnosis; epidemiology; Humans; Incidence; Mass Screening; Middle Aged; Peptide Mapping; Protein Array Analysis; Proteomics; methods; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
- From: Chinese Journal of Oncology 2007;29(6):441-443
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo analyze the alterations of serum proteomic pattern in esophageal squamous cell carcinoma (ESCC) by SELDI-TOF-MS, to establish a diagnostic model of ESCC screening in high incidence area and investigate its clinical value.
METHODSSELDI-TOF-MS and CM10 proteinChip were used to detect the serum proteomic patterns of 36 cases of ESCC and 38 healthy control subjects in high incidence area. The data were analyzed and a diagnostic model was established by using support vector machine (SVM). The diagnostic model was evaluated by leave-one-out cross validation.
RESULTSAt the molecular weight range of 2000 to 20,000, 31 protein peaks were significantly different between ESCC and controls (P < 0.01). A diagnostic model consisting of 4 protein peaks could do the best in diagnosis of ESCC and controls. The accuracy was 85.1%, sensitivity was 86.1%, specificity was 84.2%, and positive value was 83.8%.
CONCLUSIONThe diagnostic model formed by 4 protein peaks, established in this study, can well distinguish ESCC from healthy subjects. It provides a new approach for ESCC screening in high incidence area.
