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ORIGINAL RESEARCH article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 15 - 2024 |
doi: 10.3389/fimmu.2024.1472620
This article is part of the Research Topic Deciphering the Inflammatory Response in Colorectal and Ovarian Cancers View all articles
Recursive partitioning staging system based on the log odds of the negative lymph node/T stage ratio in colon mucinous adenocarcinoma
Provisionally accepted- First Affiliated Hospital of Fujian Medical University, Fuzhou, China
Background: This study aimed to investigate the prognostic significance of the log odds of negative lymph nodes/T stage (LONT) and develop an efficient prognostic staging system using LONT in colon mucinous adenocarcinoma (MAC) patients.Methods: This study included 5236 patients diagnosed with colon MAC obtained from the Surveillance, Epidemiology, and End Results database. The Kaplan-Meier method, subgroup analysis, receiver operating characteristic curve (ROC), and Cox proportional hazard regression model were used to determine the clinical outcomes. Recursive partitioning analysis (RPA) was used to develop a novel prognostic system.The 1-, 3-, and 5-year ROC curves, used to predict cancer-specific survival (CSS) and overall survival (OS), demonstrated that the areas under the ROC curve for LONT were superior to those of pT, pN, and pTNM stages. Additionally, a lower LONT was correlated with worse clinical outcomes. The LONT classification efficiently differentiated the prognosis of patients in terms of OS and CSS. Multivariate Cox analyses revealed that LONT was an independent prognostic factor for both CSS and OS. Based on the pT stage and LONT, a novel prognostic staging system was developed using RPA, demonstrating good prognostic predictive performance.A Lower LONT was associated with worse survival in patients with colon MAC. The pT stage and LONT-based prognostic staging system facilitated risk stratification in these patients.
Keywords: colon mucinous adenocarcinoma, LONT, prognosis, Recursive partitioning analysis, Staging System
Received: 29 Jul 2024; Accepted: 04 Dec 2024.
Copyright: © 2024 Cai, Zeng, Wang, Zhuang, Liu and Guan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Guoxian Guan, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
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