Neutrophil to lymphocyte ratio predicts risk of nodal involvement in T1 colorectal cancer patients

Minerva Chir. 2018 Oct;73(5):475-481. doi: 10.23736/S0026-4733.18.07430-8. Epub 2018 Apr 12.

Abstract

Background: Risk of nodal involvement in T1 colorectal cancer is assessed by tumor histological features. In several tumors, the ratio between neutrophils and lymphocytes (NLR) or platelets and lymphocytes (PLR) have been applied to lymph-node metastases prediction. The aim of this study was to evaluate the role of NLR, derived NLR (dNLR) and PLR in predicting nodal involvement in T1 colorectal cancers.

Methods: NLR, dNLR and PLR in surgical resected T1 colorectal cancers were retrospectively calculated and analysed in nodal positive and negative cases.

Results: Data regarding 102 patients were considered. Nodal involvement rate was 10.8%. NLR values were higher in node positive patients (P=0.04). A trend toward significance (P=0.05) was found for higher dNLR values and positive nodal status. For NLR, ROC curve analysis allowed to choose a predictive cut-off value of 3.7 (AUC of 0.69; 95% CI: 0.48-0.89). Nodal positivity was reported in 71.5% of high NLR patients; only two N0 cases (28.5%) were registered in high NLR group (P<0.001). The logistic regression analysis aimed to evidence the predictive role of high NLR in node positivity resulted in a significant OR of 37.1 (P<0.0001; 95% CI: 0.48-0.89). NLR allowed to distinguish N0 from N1 patients in 99.4% of cases.

Conclusions: NLR<3.7 was associated with lower risk of lymph-node metastases in T1 colorectal cancer patients. NLR could be used with histopathological data to identify patients at lower risk of nodal metastases.

Publication types

  • Multicenter Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Colorectal Neoplasms / blood*
  • Colorectal Neoplasms / pathology*
  • Female
  • Humans
  • Leukocyte Count
  • Lymphatic Metastasis
  • Lymphocytes*
  • Male
  • Middle Aged
  • Neoplasm Staging
  • Neutrophils*
  • Predictive Value of Tests
  • Retrospective Studies
  • Risk Assessment