Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	89115
Country	China

Received	2023-10-21 01:49
Peer-Review Started	2023-10-21 01:51
To Make the First Decision
Return for Revision	2024-01-25 07:23
Revised	2024-01-31 09:16
Second Decision	2024-03-08 02:47
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-03-08 06:40
Articles in Press	2024-03-08 06:40
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-04-23 07:48
Publish the Manuscript Online	2024-05-09 13:59

ISSN	1948-5204 (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: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Oncology
Manuscript Type	Basic Study
Article Title	Predictive model using four ferroptosis-related genes accurately predicts gastric cancer prognosis
Manuscript Source	Unsolicited Manuscript
All Author List	Li Wang and Wei-Hua Gong
Funding Agency and Grant Number
Corresponding Author	Wei-Hua Gong, PhD, Researcher, Department of Surgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Jiefang Road No. 88, Hangzhou 310052, Zhejiang Province, China. weihuagongzju@126.com
Key Words	Ferroptosis; Gastric cancer; Helicobacter pylori infection; Immune checkpoint protein; Prognostic model; Ferroptosis-related gene prognostic index
Core Tip	This study aimed to develop a prognostic model based on coregulated differentially expressed genes among ferroptosis-related genes (FRGs) in gastric cancer (GC). Gene expression profiles from GC patients and those with Helicobacter pylori-associated GC were analyzed, along with FRGs obtained from the FerrDb database. The resulting ferroptosis-related gene prognostic index (FRGPI), based on four hub genes (NOX4, MTCH1, GABARAPL2, and SLC2A3), accurately predicted GC patient survival. High-risk individuals had significantly worse overall survival, and the FRGPI was associated with disease progression and increased expression of immune checkpoint proteins. These findings provide insights into GC prognosis and immunotherapy efficacy.
Publish Date	2024-05-09 13:59
Citation	Wang L, Gong WH. Predictive model using four ferroptosis-related genes accurately predicts gastric cancer prognosis. World J Gastrointest Oncol 2024; 16(5): 2018-2037
URL	https://www.wjgnet.com/1948-5204/full/v16/i5/2018.htm
DOI	10.4251/wjgo.v16.i5.2018

Full Article (PDF)	WJGO-16-2018-with-cover.pdf
The ARRIVE Guidelines	89115-The ARRIVE guidelines.pdf
Manuscript File	89115_Auto_Edited-YJP.docx
Answering Reviewers	89115-Answering reviewers.pdf
Audio Core Tip	89115-Audio core tip.mp3
Biostatistics Review Certificate	89115-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form	89115-Conflict-of-interest statement.pdf
Copyright License Agreement	89115-Copyright license agreement.pdf
Institutional Animal Care and Use Committee Approval Form or Document	89115-Institutional animal care and use committee statement.pdf
Institutional Review Board Approval Form or Document	89115-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate	89115-Language certificate.pdf
Supplementary Material	89115-Supplementary Material.pdf
Peer-review Report	89115-Peer-review(s).pdf
Scientific Misconduct Check	89115-Bing-Liu H-2.png
Scientific Editor Work List	89115-Scientific editor work list.pdf
CrossCheck Report	89115-CrossCheck report.pdf