Publication Name	World Journal of Clinical Cases
Manuscript ID	93822
Country	China

Received	2024-03-07 08:45
Peer-Review Started	2024-03-07 08:47
To Make the First Decision
Return for Revision	2024-04-17 09:46
Revised	2024-04-23 02:38
Second Decision	2024-05-10 02:37
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-05-10 07:24
Articles in Press	2024-05-10 07:24
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-05-27 06:57
Publish the Manuscript Online	2024-06-18 09:29

ISSN	2307-8960 (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/
Copyright	© The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Obstetrics & Gynecology
Manuscript Type	Retrospective Study
Article Title	Development and validation of a circulating tumor DNA-based optimization-prediction model for short-term postoperative recurrence of endometrial cancer
Manuscript Source	Unsolicited Manuscript
All Author List	Yuan Liu, Xiao-Ning Lu, Hui-Ming Guo, Chan Bao, Juan Zhang and Yu-Ni Jin
ORCID	Author(s) ORCID Number Yu-Ni Jin http://orcid.org/0009-0001-5344-5914
Funding Agency and Grant Number
Corresponding Author	Yu-Ni Jin, MM, Associate Chief Physician, Department of Gynaecology, The First Affiliated Hospital of Kunming Medical University, No. 295 Xichang Road, Kunming 650032, Yunnan Province, China. yunnijin2024@126.com
Key Words	Prospective validation; Predictive model; Short-term recurrence; Endometrial cancer; Circulating tumor DNA
Core Tip	This study introduces a predictive nomogram for endometrial cancer recurrence postsurgery, incorporating circulating tumor DNA, carcinoembryonic antigen 125, and tumor grade. The model, validated through receiver operating characteristic and decision curve analysis, accurately forecasts short-term recurrence-free survival and aids in risk stratification.
Publish Date	2024-06-18 09:29
Citation	<p>Liu Y, Lu XN, Guo HM, Bao C, Zhang J, Jin YN. Development and validation of a circulating tumor DNA-based optimization-prediction model for short-term postoperative recurrence of endometrial cancer. <i>World J Clin Cases</i> 2024; 12(18): 3385-3394</p>
URL	https://www.wjgnet.com/2307-8960/full/v12/i18/3385.htm
DOI	https://dx.doi.org/10.12998/wjcc.v12.i18.3385

Full Article (PDF)	WJCC-12-3385-with-cover.pdf
Manuscript File	93822_Auto_Edited-YJP.docx
Answering Reviewers	93822-answering-reviewers.pdf
Audio Core Tip	93822-audio.mp3
Biostatistics Review Certificate	93822-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form	93822-conflict-of-interest-statement.pdf
Copyright License Agreement	93822-copyright-assignment.pdf
Signed Informed Consent Form(s) or Document(s)	93822-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document	93822-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate	93822-non-native-speakers.pdf
Peer-review Report	93822-peer-reviews.pdf
Scientific Misconduct Check	93822-scientific-misconduct-check.png
Scientific Editor Work List	93822-scientific-editor-work-list.pdf
CrossCheck Report	93822-crosscheck-report.png
CrossCheck Report	93822-crosscheck-report.pdf