The ratio of neutrophil to lymphocyte is a predictor in endometrial cancer

Abstract: Objective: The aim of our study was to assess the prognostic value of the ratio of neutrophil to lymphocyte (NLR) for patients with surgically treated endometrial cancer (EC). Methods: We retrospectively reviewed 510 EC patients who were surgically treated between January 2010 and December 2016. We used receiver-operating characteristic (ROC) curve analysis to identify an optimal cut-off for NLR in predicting overall survival (OS), cancer-specific survival (CSS) and disease-free survival (DFS). Nonparametric tests were used to determine the associations between NLR and clinicopathologic characteristics. The Kaplan–Meier method and Cox proportional-hazards regression were used for survival analysis. Results: With a cut-off of 2.47, the 510 patients were divided into low NLR (NLR <2.47) and high NLR (NLR ≥2.47). Elevated NLR was associated with advanced stage (P=0.039), increased histology grade (P=0.005) and lymph node metastasis (P=0.041). Multivariable analysis suggested that NLR was an independent prognostic marker for OS (hazard ratio [HR] 4.7; 95% confidence interval [CI], 1.5-14.1; P =0.006), CSS (HR 3.6; 95% CI, 1.1-11.5; P =0.028) and DFS (HR 2.3; 95% CI, 1.0-5.2; P =0.044). Conclusion: NLR may be an independent prognostic indicator for OS, CSS and DFS. It could help clinicians with preoperative risk stratification and treatment strategy tailoring.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
The ratio of neutrophil to lymphocyte is a predictor in endometrial cancer ; volume:14 ; number:1 ; year:2019 ; pages:110-118 ; extent:9
Open life sciences ; 14, Heft 1 (2019), 110-118 (gesamt 9)

Creator
Dong, Yangyang
Cheng, Yuan
Wang, Jianliu

DOI
10.1515/biol-2019-0012
URN
urn:nbn:de:101:1-2409201654045.143953935388
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:24 AM CEST

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Associated

  • Dong, Yangyang
  • Cheng, Yuan
  • Wang, Jianliu

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