Evidence map›Paper›PMID 40741199›Full record

ArticleWorld journal of clinical oncology2025

Untargeted metabolomics analysis of serum metabolic signatures as novel biomarkers for gastric carcinoma.

Le Ren, Jun Liu, Ya-Yun Xu, Zhen-Wang Shi

Abstract read
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Article in World journal of clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Le RenDepartment of Gastroenterology, The Second People's Hospital of Hefei, Hefei 230011, Anhui Province, China.
Jun LiuDepartment of Ophthalmology, The Third People's Hospital of Hefei, Hefei 230011, Anhui Province, China.
Ya-Yun XuDepartment of Pharmacy, Hefei Fourth People's Hospital, Hefei 2300000, Anhui Province, China.
Zhen-Wang ShiDepartment of Gastroenterology, The Second People's Hospital of Hefei, Hefei 230011, Anhui Province, China. shiyitao99@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, metabolomics has emerged as a novel platform for biomarker discovery. However, the metabolic profiles associated with gastric carcinoma (GC) remain insufficiently explored.

aimTo examine the differences in metabolites between patients with GC and healthy controls, with the objective of identifying potential serum biomarkers for GC diagnosis through a non-targeted metabolomics approach.

methodsAn untargeted metabolic analysis was conducted on serum samples from 6 patients with GC and 6 healthy controls. Subsequently, the differential metabolites identified were further validated in serum samples from an expanded cohort of 50 patients with GC and 50 healthy controls. The discriminative capacity of differential metabolites in distinguishing patients with GC from healthy controls was assessed utilizing the receiver operating characteristic curve analysis. The association between the serum levels of differential metabolites and the disease severity, as determined by the tumor-node-metastasis staging system, was evaluated using Spearman's rank correlation coefficient.

resultsOur findings revealed a significant alteration in the metabolic profile, characterized by 111 up-regulated and 55 down-regulated metabolites in patients with GC compared to healthy controls. Among the top 10 up-regulated metabolites, the serum concentrations of eight metabolites including fenpiclonil, methyclothiazide, 5-hydroxyindoleacetate, 3-pyridinecarboxylic acid, guanabenz, 2,2-dichloro-N-(3-chloro-1,4-dioxo-2-naphthyl) acetamide, epigallocatechin gallate, and dimethenamid, were further validated to be significantly elevated in a cohort of 50 patients diagnosed with GC compared to 50 healthy control subjects (

conclusionThis study provides insights into the metabolic alterations associated with GC, and the identification of these biomarkers may enhance the clinical detection and management of the disease.

Indexed as

BiomarkerDiagnosisGastric carcinomaSerumUntargeted metabolomics

Identifiers

PMID40741199
PMCPMC12305032

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