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      The Korean Society of Gastroenterology & SIDDS 2023 : Slide Session ; S-UG-04 : Upper GI Tract ; Urine Metabolomics as a Novel Diagnostic Approach for Gastric Cancer = The Korean Society of Gastroenterology & SIDDS 2023 : Slide Session ; S-UG-04 : Upper GI Tract ; Urine Metabolomics as a Novel Diagnostic Approach for Gastric Cancer

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      https://www.riss.kr/link?id=A100144110

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      Background/Aims: Current the best screening tool of gastric cancer is endoscopy. However it needs adequate facilities, expensive equipment and skilled staff and it is time-consuming and unpleasant to patients. Serum tumor markers such as CEA, CA 19-9,...

      Background/Aims: Current the best screening tool of gastric cancer is endoscopy. However it needs adequate facilities, expensive equipment and skilled staff and it is time-consuming and unpleasant to patients. Serum tumor markers such as CEA, CA 19-9, CA 72-4 can be easily used but they are not satisfactory in making a diagnosis and lack clinical effi cacy. The purpose of this study was to investigate the differences in urine metabolic profi les of gastric cancer patients and healthy volunteers using a NMR-based metabolomic approach and to provide an effective screening tool. Methods: Urine samples were collected from gastric cancer patients (n=139) and healthy volunteers (n=156). Nuclear magnetic resonance (NMR) spectra of these urine samples were analyzed using orthogonal partial least square discriminant analysis (OPLS-DA). Using training set composed of gastric cancer patients (n=93) and healthy volunteers (n=105), prediction model was established. Then, the validity of prediction model was assessed using an external validation set consisting of gastric cancer patients (n=46) and healthy volunteers (n=51). Results: The metabolomic 2-D score plot and OPLS-DA multivariate analysis showed good separation between gastric cancer and normal group (Q2 of 72.4%). The S-TOCSY plot showed multiple identifi ed markers for the separation. The prediction model using validation set exhibited 95.7% sensitivity and 94.1% specifi city. Conclusion: Our findings suggest that the NMR-based metabolomics approach showed an effective and non-invasive way to discriminate healthy person and gastric cancer patients. The established prediction model had high quality of sensitivity and specifi city and it can be a novel screening tool for early gastric cancer. *Funding for this research has been provided by Korean Society of Gastroenterology and SK Chemical.

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