Plasma metabolome identifies potential biomarkers of gastric precancerous lesions and gastric cancer risk.

Abstract

OBJECTIVES:

Currently, metabolic biomarkers with great practicability of gastric cancer (GC) and gastric precancerous lesions (GPL) are scarce. Thus, we are devoted to determining the plasma metabolic profiles of patients with GPL or GC and validate candidate biomarkers for disease diagnosis.

METHODS:

In this hospital-based case-control study, 68 plasma samples from 27 non-atrophic gastritis (NAG, control), 31 GPL, and 10 GC patients were collected for targeted metabolomics analysis. Univariate and multivariate analyses were used for selecting the differential metabolites. A receiver operating characteristic curve combined with binary logistic regression analysis was performed to test the diagnostic performance of the differential metabolites. Dietary data were obtained using a semiquantitative food frequency questionnaire.

RESULTS:

Distinct metabolomic profiles were noted for NAG, GPL, and GC. Compared to the NAG patients, the levels of 5 metabolites in the GPL group and 4 metabolites in the GC group were found to significantly elevate. Compared with the model involving 9 traditional risk factors (AUC: 0.89, 95%CI: 0.78-1.00), Trimethylamine N-oxide, the most significant metabolite (P = 2.00 × 10-5, FDR = 0.003, FC > 2, VIP > 2), showed a good diagnostic performance for the patients with GC (AUC: 0.90, 95%CI: 0.78-1.00), and its diagnostic performance has been further improved with the integration of Rhamnose (AUC: 0.96, 95%CI: 0.89-1.00).

CONCLUSION:

In our study, 9 defined metabolites might serve as meaningful biomarkers for identifying the high-risk population of GPL and GC, possibly enhancing the prevention and control of GPL and GC.

• Authors: Bin Li, Xing Shu, Haoqi Jiang, Change Shi, Le Qi, Lili Zhu, Juanyan Zhou, Min Tang, Anla Hu
• Journal: Metabolomics : Official journal of the Metabolomic Society (Metabolomics) Vol. 19 Issue 8 Pg. 73 (08 10 2023) ISSN: 1573-3890 [Electronic] United States
• PMID: 37561286 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: © 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Chemical References

• Biomarkers

Topics

• Humans
• Stomach Neoplasms (diagnosis, metabolism, pathology)
• Metabolomics
• Case-Control Studies
• Biomarkers
• Metabolome
• Precancerous Conditions (diagnosis)