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Publication Name World Journal of Clinical Oncology
Manuscript ID 108967
Country China
Category Gastroenterology & Hepatology
Manuscript Type Case Control Study
Article Title Untargeted metabolomics analysis of serum metabolic signatures as novel biomarkers for gastric carcinoma
Manuscript Source Unsolicited Manuscript
All Author List Le Ren, Jun Liu, Ya-Yun Xu and Zhen-Wang Shi
Funding Agency and Grant Number
Corresponding Author Zhen-Wang Shi, Professor, Department of Gastroenterology, Second People’s Hospital of Hefei, Heping Road, Hefei 230011, Anhui Province, China. shiyitao99@163.com
Key Words Gastric carcinoma; Untargeted metabolomics; Serum; Biomarker; Diagnosis
Core Tip We applied untargeted metabolomics to explore serum metabolic profile changes to identify potential serum biomarkers for the diagnosis of gastric carcinoma (GC). Firstly, a substantial alteration in the metabolic profile was observed. Secondly, the serum concentrations of eight metabolites were significantly elevated in 50 GC patients compared to 50 healthy controls. Thirdly, the area under the curve values for eight metabolites exceeded 0.7, indicating their effectiveness in distinguishing GC patients. Fourthly, the serum concentrations of methyclothiazide and epigallocatechin gallate demonstrated a positive correlation with T and N stage, while the serum concentrations of dimethenamid showed a positive correlation with T stage in GC patients.
Citation Ren L, Liu J, Xu YY, Shi ZW. Untargeted metabolomics analysis of serum metabolic signatures as novel biomarkers for gastric carcinoma. World J Clin Oncol 2025; In press
Received
2025-04-27 16:06
Peer-Review Started
2025-04-27 16:07
To Make the First Decision
Return for Revision
2025-05-12 10:04
Revised
2025-05-14 13:22
Second Decision
2025-06-26 02:38
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-06-26 06:46
Articles in Press
2025-06-26 06:46
Publication Fee Transferred
2025-05-15 06:57
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2218-4333 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
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