Retrospective Study
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Surg. Feb 27, 2024; 16(2): 518-528
Published online Feb 27, 2024. doi: 10.4240/wjgs.v16.i2.518
Nomogram model including LATS2 expression was constructed to predict the prognosis of advanced gastric cancer after surgery
Nan Sun, Bi-Bo Tan, Yong Li
Nan Sun, Department of Blood Transfusion, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, Hubei Province, China
Bi-Bo Tan, Yong Li, Third Department of General Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, Hebei Province, China
Author contributions: Sun N designed the research study; Sun N, Tan BB and Li Y performed the research; Sun N and Tan BB contributed analytic tools; Sun N and Li Y analyzed the data and wrote the manuscript; all authors have read and approve the final manuscript.
Institutional review board statement: This was a retrospective study approved by the Ethics Committee of the Fourth Hospital of Hebei Medical University (Approval No. 2019ME0039).
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: All authors claim no conflicts of interest.
Data sharing statement: Raw data, statistical codes and datasets are available from the corresponding author.
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: Yong Li, PhD, Chief Doctor, Professor, Third Department of General Surgery, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Chang'an District, Shijiazhuang 050011, Hebei Province, China. liyong780728@163.com
Received: December 12, 2023
Peer-review started: December 12, 2023
First decision: January 2, 2024
Revised: January 13, 2024
Accepted: January 24, 2024
Article in press: January 24, 2024
Published online: February 27, 2024
Core Tip

Core Tip: This study focuses on developing a prognostic model for patients with advanced gastric cancer postsurgery by integrating LATS2 expression and clinicopathological features into a nomogram. It highlights the significance of the LATS2 gene in improving prognostic predictions beyond traditional tumor-node-metastasis staging. Our model demonstrates excellent predictive accuracy and clinical utility, which indicates its potential for enhancing individualized patient care through better risk stratification. Future studies should focus on external validation to confirm the model’s applicability across diverse patient populations.