Literature DB >> 23541652

The RML of lymph node metastasis was superior to the LODDS for evaluating the prognosis of gastric cancer.

Honggen Liu1, Jingyu Deng, Rupeng Zhang, Xishan Hao, Xuguan Jiao, Han Liang.   

Abstract

OBJECTIVE: The aim of the study was to investigate the most appropriate system for categorization of metastatic lymph nodes among N staging (according to the 7th edition UICC/AJCC TNM Classification for Gastric Cancer), ratio between metastatic and examined lymph nodes (RML) staging, negative lymph nodes (NLN) staging and log odds of positive lymph nodes (LODDS) staging for evaluation the overall survival (OS) of gastric cancer.
METHODS: We reviewed clinicopathological data of 372 gastric cancer patients who underwent radical gastrectomy plus extended lymphadenectomy with the purpose of evaluating the differences in the OS according to different categories of metastatic lymph nodes.
RESULTS: Univariate and multivariate analysis of data significantly identified the degree of differentiation (HR = 1.404, p = 0.015), T staging (according to the 7th edition UICC/AJCC TNM Classification for Gastric Cancer) (HR = 1.568, p = 0.024) and the RML staging (HR = 1.479, p = 0.030) as independent predictors of the OS. However, RML staging was identified as the most appropriate for evaluating the OS of gastric cancer patients following radical gastrectomy plus extended lymphadenectomy rather than N staging, NLN staging and LODDS staging by using the case-control matched analysis. With the further stratified analysis, we demonstrated that RML staging had the best prognostic homogeneity than LODDS staging, NLN staging or N staging.
CONCLUSIONS: RML staging was the best system for prediction the OS of the gastric cancer patients following radical gastrectomy plus extended lymphadenectomy, rather than LODDS staging, NLN staging or N staging.
Copyright © 2013 Surgical Associates Ltd. Published by Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23541652     DOI: 10.1016/j.ijsu.2013.03.009

Source DB:  PubMed          Journal:  Int J Surg        ISSN: 1743-9159            Impact factor:   6.071


  15 in total

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