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. 2022 Aug 27;12:14632. doi: 10.1038/s41598-022-19061-3

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Identification of potential biomarkers for distinguishing patients with GC from healthy individuals in training set. (A) The plot of VIP value versus fold change (FC). The differential metabolites were defined with VIP > 1 and FC > 1.2 or < -1.2 between patients with GC and healthy individuals. The selected metabolites were colored in blue. (B) The plot of adjusted p-value versus FC. The changed metabolites were displayed with adjusted p-value < 0.05 and FC > 1.2 or < -1.2 in patients with GC compared to healthy individuals. (C) Venn diagram demonstrates differential metabolites in GC group compared with healthy group. Twenty-five differential metabolites were selected with VIP > 1 and adjusted p-value < 0.05 and FC > 1.2 or < − 1.2.