1. A modified mTNM staging system based on lymph node ratio for colon neuroendocrine tumors: A recursive partitioning analysis
- Author
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Ye Wang, Huajun Cai, Yiyi Zhang, Jinfu Zhuang, Xing Liu, and Guoxian Guan
- Subjects
prognosis ,lymph node ratio ,recursive partitioning analysis ,neuroendcrine tumor ,colon ,Surgery ,RD1-811 - Abstract
BackgroundIn the current tumor–lymph node–metastasis (TNM) staging system for colon neuroendocrine tumors, lymph node status is divided into N1 and N0. An assessment of the lymph node ratio (LNR) and a proposal for a modified mTNM staging system were the objectives of this study.MethodsSelecting the optimal cut-off value of LNR was done using X-tile. A Cox regression model and the Kaplan–Meier method were performed to calculate patient cancer-specific survival in the Surveillance, Epidemiology and End Results cohort. Recursive partitioning analysis was used to improve TNM staging.ResultsThe study included 674 patients. The current TNM staging system showed inadequate discriminatory power between stage I and stage II patients (p = 0.088). The optimal cut-off value was determined as 0.6 for LNR. Based on multivariate Cox regression analysis, the modified mN classification could be classified into mN 0 (LNR = 0.00), mN 1 (LNR = 0.01–0.60), and mN 2 (LNR > 0.60), and was found to be an independent factor affecting prognosis (p
- Published
- 2022
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