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International Journal of Colorectal Disease

, Volume 28, Issue 10, pp 1377–1384 | Cite as

An appraisal of lymph node ratio in colon and rectal cancer: not one size fits all

  • M. Medani
  • Niall Kelly
  • George Samaha
  • G. Duff
  • Vourneen Healy
  • Elizabeth Mulcahy
  • Eoghan Condon
  • David Waldron
  • Jean Saunders
  • J. Calvin CoffeyEmail author
Original Article

Abstract

Background

Lymph node ratio (LNR) is increasingly accepted as a useful prognostic indicator in colorectal cancer. However, variations in methodology, statistical stringency and cohort composition has led to inconsistency in respect of the optimally prognostic LNR.

Objective

The aim was to apply a robust regression-based analysis to generate and appraise LNRs optimally prognostic for colon and rectal cancer, both separately and in combination.

Methods

LNR was established for all patients undergoing either a colonic (n = 379) or rectal (n = 160) cancer resection with curative intent. The optimal LNR associated with disease-free and overall survival were established using a classification and regression tree technique. This process was repeated separately for patients who underwent either colonic or rectal resection and for the combined cohort. Survival associated with differing LNR was estimated using the Kaplan–Meier method and compared using a log-rank test. Relationships between LNR, disease-free survival (DFS) and overall survival (OS) were further characterised using Cox regression analysis. All statistical analyses were conducted in the R programming environment, with statistical significance was taken at a level of p < 0.05.

Results

Optimal LNRs differed between each cohort, when either overall or disease-free survival was considered. LNRs generated from combined cohorts also differed from those generated by individual cohorts. In relation to DFS, LNR values were obtained and included 0.18 for the colon cancer cohort and 0.19 for the rectal and combined colorectal cancer cohorts. In relation to OS, multiple LNR values were obtained for colon and combined cohorts; however, an optimal LNR was not evident in the rectal cancer cohort. Survival patterns according to LNR closely resembled those associated with standard nodal staging.

Conclusion

Application of a data-driven approach based on recursive partitioning generates differing lymph node ratios for colon, rectal and combined colorectal cohorts. In each cohort, LNR was similarly prognostic to standard nodal staging in respect to overall and disease-free survival. Overall survival was associated with a multiplicity of LNR values, whilst disease-free survival was associated with a single LNR only. The paper demonstrates the merits of utilising a data-driven approach to determining lymph node ratios from specific patient cohorts. Utilising such an approach enabled the generation of those LNRs that were most associated with particular survival trends in relation to overall and disease-free survival. These differed markedly for colon cancer, rectal cancer and combined cohorts. In general, the survival patterns associated with LNRs generated were similar to those observed with standard nodal staging.

Keywords

Colon Rectum Cancer Survival Lymph node ratio 

Notes

Sources of funding

There were no sources of funding for this publication.

Supplementary material

384_2013_1707_MOESM1_ESM.docx (12 kb)
ESM 1 (DOCX 11 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • M. Medani
    • 1
  • Niall Kelly
    • 1
  • George Samaha
    • 1
  • G. Duff
    • 1
  • Vourneen Healy
    • 3
  • Elizabeth Mulcahy
    • 3
  • Eoghan Condon
    • 1
  • David Waldron
    • 1
  • Jean Saunders
    • 1
    • 4
  • J. Calvin Coffey
    • 1
    • 2
    • 5
    Email author
  1. 1.Department of General and Colorectal SurgeryUniversity Hospital LimerickLimerickIreland
  2. 2.4i Centre for Interventions in Infection, Inflammation and Immunity, Graduate Entry Medical SchoolUniversity of LimerickLimerickIreland
  3. 3.Department of PathologyUniversity Hospital LimerickLimerickIreland
  4. 4.CSTARUniversity of LimerickLimerickIreland
  5. 5.Department of General Surgery, Graduate Entry Medical SchoolUniversity of LimerickLimerickIreland

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