1. Validation of the pretreatment derived neutrophil-lymphocyte ratio as a prognostic factor in a European cohort of patients with upper tract urothelial carcinoma.
- Author
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Dalpiaz O, Pichler M, Mannweiler S, Martín Hernández JM, Stojakovic T, Pummer K, Zigeuner R, and Hutterer GC
- Subjects
- Aged, Austria epidemiology, Carcinoma, Transitional Cell mortality, Confounding Factors, Epidemiologic, Female, Follow-Up Studies, Humans, Kaplan-Meier Estimate, Kidney Neoplasms mortality, Kidney Neoplasms surgery, Lymphocyte Count, Male, Middle Aged, Necrosis, Prognosis, Proportional Hazards Models, ROC Curve, Retrospective Studies, Ureteral Neoplasms mortality, Ureteral Neoplasms surgery, Carcinoma, Transitional Cell blood, Kidney Neoplasms blood, Leukocyte Count, Neutrophils, Ureteral Neoplasms blood
- Abstract
Background: The value of a combined index of neutrophil and white cell counts, named derived neutrophil-lymphocyte ratio (dNLR), has recently been proposed as a prognosticator of survival in various cancer types. We investigated the prognostic role of the dNLR in a large European cohort of patients with upper tract urothelial carcinoma (UTUC)., Methods: Data from 171 non-metastatic UTUC patients, operated between 1990 and 2012 at a single tertiary academic centre, were evaluated retrospectively. Cancer-specific- (CSS) as well as overall survival (OS) were assessed using the Kaplan-Meier method. To evaluate the independent prognostic significance of the dNLR, multivariate proportional Cox-regression models were applied. Additionally, the influence of the dNLR on the predictive accuracy of the multivariate model was further determined by Harrell's concordance index (c-index)., Results: The median follow-up period was 31 months. An increased dNLR was statistically significantly associated with shorter CSS (log-rank P=0.004), as well as with shorter OS (log-rank P=0.002). Multivariate analysis identified dNLR as an independent predictor for CSS (hazard ratio, HR=1.16, 95% confidence interval, CI=1.01-1.35, P=0.045), as well as for OS (HR=1.21, 95% CI=1.09-1.34, P<0.001). The estimated c-index of the multivariate model for OS was 0.68 without dNLR and 0.73 when dNLR was added., Conclusions: Patients with a high pretreatment dNLR could be predicted to show subsequently higher cancer-specific- as well as overall mortality after surgery for UTUC compared with those with a low pretreatment dNLR. Thus, this combined index should be considered as a potential prognostic biomarker in future.
- Published
- 2014
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