The optimal combination of serum tumor markers with bioinformatics in diagnosis of colorectal carcinoma.
- Author:
Jie-kai YU
1
;
Mei-qing YANG
;
Tie-jun JIANG
;
Shu ZHENG
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Aged; Aged, 80 and over; Antigens, Tumor-Associated, Carbohydrate; blood; Biomarkers, Tumor; blood; CA-19-9 Antigen; blood; Carcinoembryonic Antigen; blood; Colorectal Neoplasms; diagnosis; Female; Humans; Male; Middle Aged; Neural Networks (Computer); Sensitivity and Specificity
- From: Journal of Zhejiang University. Medical sciences 2004;33(5):407-410
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo identify the optimal combination of serum tumor markers with bioinformatics in diagnosis of colorectal cancer.
METHODSThe serum levels of CEA, AFP, NSE, CA199, CA242, CA724, CA211 and TPA were detected in 128 patients with colorectal carcinoma and 113 health subjects. The serum tumor markers were evaluated with the area under curves. The optimal combination of serum tumor markers was selected and the diagnostic model with artificial neural network was established.
RESULTSCEA, CA199, CA242, CA211, CA724 were selected for the optimal combination and the artificial neural network was built. The model was evaluated by a 5-cross validation approach. The model had a specificity of 95%, sensitivity of 83% and positive predictive value of 95% in diagnosis of colorectal carcinoma.
CONCLUSIONThe combination of optimal serum tumor markers has a high sensitivity and specificity in diagnosis of colorectal carcinoma.
