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Related Experiment Video

Updated: Apr 7, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

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Published on: April 18, 2025

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Lymph node ratio-based staging system for esophageal squamous cell carcinoma.

Shao-Bin Chen1, Hong-Rui Weng1, Geng Wang1

  • 1Shao-Bin Chen, Hong-Rui Weng, Geng Wang, Di-Tian Liu, Yu-Ping Chen, Department of Thoracic Surgery, Cancer Hospital of Shantou University Medical College, Shantou 515031, Guangdong Province, China.

World Journal of Gastroenterology
|July 4, 2015
PubMed
Summary

A new staging system using lymph node ratio (LNR) offers better survival prediction for esophageal squamous cell carcinoma (ESCC) patients than the current TNM system, particularly after limited lymph node dissection.

Keywords:
Cancer stagingEsophageal squamous cell carcinomaEsophagectomyLymph node ratioPrognosis

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Area of Science:

  • Oncology
  • Surgical Pathology
  • Cancer Staging

Background:

  • Accurate staging is crucial for esophageal squamous cell carcinoma (ESCC) treatment and prognosis.
  • The current TNM staging system's lymph node classification may require refinement for improved prognostic stratification.
  • Lymph node ratio (LNR) has emerged as a potential prognostic factor in various cancers.

Purpose of the Study:

  • To evaluate a modified staging system for ESCC based on the lymph node ratio (LNR).
  • To compare the prognostic accuracy of the LNR-based TNrM system with the current AJCC TNM system.
  • To assess the utility of LNR in patients undergoing limited lymphadenectomy.

Main Methods:

  • Retrospective analysis of clinical data from 2011 ESCC patients who underwent surgical resection.
  • Calculation of LNR (metastatic LNs / total resected LNs) and categorization into Nr0-Nr3.
  • Construction of a TNrM staging system and comparison of its predictive performance against the AJCC TNM system using time-dependent ROC curves.

Main Results:

  • The LNR-based Nr categories (Nr0-Nr3) showed significant differences in overall survival (P < 0.001).
  • The TNrM staging system demonstrated higher accuracy in predicting survival compared to the AJCC TNM system.
  • The LNR system maintained prognostic value across different numbers of examined lymph nodes, unlike the AJCC N categories.

Conclusions:

  • A staging system incorporating LNR provides superior prognostic stratification for ESCC patients compared to the current TNM system.
  • The TNrM system is particularly beneficial for patients who have undergone limited lymphadenectomy.
  • LNR is a valuable tool for refining the staging and predicting outcomes in ESCC.