Screening and optimizing the colorectal cancer related tumor markers from multi-tumor markers proteinchip
- VernacularTitle:肿瘤标志物蛋白芯片中结直肠癌相关指标的筛选及优化
- Author:
Jinxuan HOU
;
Xueqin YANG
;
Chuang CHEN
;
Qiao JIANG
;
Guoliang YANG
;
Yan LI
- Publication Type:Journal Article
- Keywords:
Colorectal neoplasms;
Proteinchip;
Tumor markers
- From:
Cancer Research and Clinic
2008;20(5):303-305,309
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the association between C12 tumor markers and colorectal cancer,in order to screen for colorectal cancer related tumor markers so as to provide theoretical base for the establishment of colorectal cancer diagnostic biochips. Methods The sera of 173 colorectal cancer patients were detected for 12 common tumor markers including carcinoembryonic antigen (CEA), alpha-fetoprotein (AFP), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 242 (CA242), cancer antigen 15-3 (CA15-3), cancer antigen 125 (CA125), prostate specific antigen (PSA), free-PSA, neuron-specific enolase (NSE),human chorionic gonagotropin-beta (β-HCG), human growth hormone (HGH), and ferritin using the C12tumor markers proteinchip, and colorectal cancer related parameters were analyzed by Kappa test and cost-effectiveness analysis to find the most optimal tumor marker program. Results CEA (36.4 %), CA242(19.7 %), CA19-9 (18.5 %), CA125(9.8 %) were major tumor markers increased among the 173 colorectal cancer patients. Kappa test revealed 7 tumor marker programs having strong consistency with the detection results of C12 tumor markers proteinchip, and CEA singly detected was proved to be the best program by cost-effectiveness analysis. Conclusion C12 tumor markers proteinchip system have limited value in the diagnosis of colorectal cancer, but the design of chip is too complicated and costly for widespread screening among the high risk populations. Searching for new colorectal cancer biomarkers and designing small diagnostic chip could significantly enhance the clinical value of tumor markers in terms of diagnostic rate and practical utility.
