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©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jun 26, 2024; 12(18): 3385-3394
Published online Jun 26, 2024. doi: 10.12998/wjcc.v12.i18.3385
Published online Jun 26, 2024. doi: 10.12998/wjcc.v12.i18.3385
Development and validation of a circulating tumor DNA-based optimization-prediction model for short-term postoperative recurrence of endometrial cancer
Yuan Liu, Xiao-Ning Lu, Hui-Ming Guo, Chan Bao, Juan Zhang, Yu-Ni Jin, Department of Gynaecology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
Author contributions: Liu Y and Jin YN designed the research and wrote the first manuscript; Lu XN, Guo HM, Bao C and Zhang J conceived the research and analyzed the data; Liu Y and Jin YN conducted the analysis and provided guidance for the research; All authors reviewed and approved the final manuscript.
Institutional review board statement: This study was reviewed and approved by the First Affiliated Hospital of Kunming Medical University.
Informed consent statement: Patients did not need to provide informed consent for the study, as anonymous clinical data were used for analysis.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The data used in the above analysis are available upon reasonable request from the corresponding authors at yunnijin2024@126.com.
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/
Corresponding author: Yu-Ni Jin, MM, Associate Chief Physician, Department of Gynae
Received: March 7, 2024
Revised: April 23, 2024
Accepted: May 10, 2024
Published online: June 26, 2024
Processing time: 103 Days and 0.8 Hours
Revised: April 23, 2024
Accepted: May 10, 2024
Published online: June 26, 2024
Processing time: 103 Days and 0.8 Hours
Core Tip
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.