The diagnostic value of serum trefoil factor 3 and pepsinogen combination in chronic atrophic gastritis: a retrospective study based on a gastric cancer screening cohort in the community population.
Jiamin Zhao, Wenying Tian, Xiaoxue Zhang, Shengrong Dong, Yao Shen, Xiaojuan Gao, Mei Yang, Jiale Lv, Feifan Hu, Jinglue Han, Qiang Zhan, Fangmei An
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引用次数: 0
Abstract
Background: Chronic atrophic gastritis (CAG) is an important precursor of gastric cancer(GC), and there is currently a lack of reliable non-invasive diagnostic markers. This study aims to find a biomarker for non-invasive screening of CAG in the community.
Methods: A total of 540 individuals were enrolled (test set = 385, validation set = 155). ROC curve analysis was used to evaluate the diagnostic significance of serum Trefoil Factor 3 (TFF3) alone or in combination with pepsinogen (PG) for CAG in the test and validation set. Furthermore, the diagnostic value of TFF3 and PG in different Helicobacter pylori (H. pylori) infection states was studied.
Results: When compared with chronic superficial gastritis (CSG), the expression level of serum TFF3 in the CAG was higher (27 ng/ml vs 19.61, P < 0.001). ROC curve analysis found that the sensitivity, specificity, and area under the curve (AUC) of CAG diagnosis using serum TFF3 alone at the optimal cut-off value of 26.55 ng/ml were 0.529, 0.87, and 0.739, respectively. When TFF3 was combined with The Ratio of PGI to PGII (PGR), the AUC and specificity reached 0.755 and 0.825, respectively. TFF3 individual or combined with PGR had good predictive value, especially in the H. Pylori negative patients.
Conclusion: TFF3 combined with PGR can effectively predict CAG, especially in patients with H. pylori negative.
期刊介绍:
The journal Biomarkers brings together all aspects of the rapidly growing field of biomarker research, encompassing their various uses and applications in one essential source.
Biomarkers provides a vital forum for the exchange of ideas and concepts in all areas of biomarker research. High quality papers in four main areas are accepted and manuscripts describing novel biomarkers and their subsequent validation are especially encouraged:
• Biomarkers of disease
• Biomarkers of exposure
• Biomarkers of response
• Biomarkers of susceptibility
Manuscripts can describe biomarkers measured in humans or other animals in vivo or in vitro. Biomarkers will consider publishing negative data from studies of biomarkers of susceptibility in human populations.