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01-10-2009

Metastatic Lymph Node Ratio: A New Staging System for Gastric Cancer

Authors: Roberto Persiani, Stefano Rausei, Vincenzo Antonacci, Alberto Biondi, Francesco Casella, Luigi Ciccoritti, Domenico D’Ugo

Published in: World Journal of Surgery | Issue 10/2009

Abstract

Background

This study was designed to analyze the prognostic significance of the staging system based on the ratio of metastatic lymph nodes (TRM) compared with the TNM staging system in patients with gastric cancer.

Methods

We reviewed the data of 219 patients who underwent gastrectomy for node-positive M0 cancer. Node Ratio (NR) categories (NR1: 1–15%; NR2: 16–40%; NR3: >40%) were determined by the best cutoff approach at log-rank test. After confirming the prognostic validity of NR in a collinearity-free Cox regression analysis, among different combinations of pT and NR categories we selected five prognostically homogeneous TRM classes. To compare the prognostic power of the TRM vs. TNM systems, we plotted TRM and TNM classes against the mortality estimates.

Results

Both of the TRM and TNM classifications significantly stratified patients outcomes (p < 0.0001), but the TRM system identified prognostic subgroups more homogeneous than the TNM system.

Conclusions

The TRM staging system is a simple and reliable tool to stratify patients with gastric cancer and has a higher prognostic power than the current system.

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Title: Metastatic Lymph Node Ratio: A New Staging System for Gastric Cancer
Authors: Roberto Persiani
Stefano Rausei
Vincenzo Antonacci
Alberto Biondi
Francesco Casella
Luigi Ciccoritti
Domenico D’Ugo
Publication date: 01-10-2009
Publisher: Springer-Verlag
Published in: World Journal of Surgery / Issue 10/2009
Print ISSN: 0364-2313
Electronic ISSN: 1432-2323
DOI: https://doi.org/10.1007/s00268-009-0157-5

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Metastatic Lymph Node Ratio: A New Staging System for Gastric Cancer

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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