The Value of Neutrophil to Lymphocyte Ratio in Patients Undergoing Cytoreductive Nephrectomy with Thrombectomy.


Journal

European urology focus
ISSN: 2405-4569
Titre abrégé: Eur Urol Focus
Pays: Netherlands
ID NLM: 101665661

Informations de publication

Date de publication:
15 01 2020
Historique:
received: 11 06 2018
revised: 13 08 2018
accepted: 27 08 2018
pubmed: 13 9 2018
medline: 21 5 2021
entrez: 13 9 2018
Statut: ppublish

Résumé

The neutrophil-lymphocyte ratio (NLR) is an established signature of inflammation used for evaluating renal cell carcinoma (RCC). To determine the utility of NLR and its relationship with known risk factors associated with poor survival in patients with metastatic RCC and tumor thrombus undergoing cytoreductive nephrectomy (CN). Prognostic variables were reviewed for patients undergoing CN with thrombectomy between 2000 and 2014 from six different institutions. Patients were stratified for NLR >4.0 based on cut point analysis. Kaplan-Meier curves compared overall survival of the total cohort and established risk models (Memorial Sloan Kettering Cancer Center [MSKCC], International Metastatic Renal-Cell Carcinoma Database Consortium [IMDC], and M.D. Anderson Cancer Center [MDACC]) stratified by NLR. Multivariable Cox regression determined predictors of overall survival. Receiver operator characteristic curves tested the predictive accuracy of survival ≥12 mo, and area under the curve (AUC) was compared between models. In total, 332 patients were identified. Patients with NLR ≤4.0 had longer median survival (24.7 vs 15.2 mo, p=0.004). NLR >4.0 distinguished patients with significantly shorter survival for non-poor-risk groups defined by MSKCC, IMDC, and MDACC criteria. Systemic symptoms, low hemoglobin, elevated lactate dehydrogenase, retroperitoneal adenopathy, level IV thrombus, elevated absolute neutrophil count, and NLR >4 were independent predictors of decreased survival (p<0.05). These factors had higher predictive accuracy for survival at 12 mo (AUC=0.755) than MKSCC, IMDC, and MSKCC models. NLR >4.0 independently predicts poor survival and further distinguishes established risk model survival curves. We identified seven preoperative risk factors related to poor survival for patients with metastatic RCC with tumor thrombus undergoing CN. The neutrophil-lymphocyte ratio and six additional preoperative variables can be used to better council patients regarding survival after surgery for metastatic renal cell carcinoma with tumor thrombus.

Sections du résumé

BACKGROUND
The neutrophil-lymphocyte ratio (NLR) is an established signature of inflammation used for evaluating renal cell carcinoma (RCC).
OBJECTIVE
To determine the utility of NLR and its relationship with known risk factors associated with poor survival in patients with metastatic RCC and tumor thrombus undergoing cytoreductive nephrectomy (CN).
DESIGN, SETTING, AND PARTICIPANTS
Prognostic variables were reviewed for patients undergoing CN with thrombectomy between 2000 and 2014 from six different institutions. Patients were stratified for NLR >4.0 based on cut point analysis.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS
Kaplan-Meier curves compared overall survival of the total cohort and established risk models (Memorial Sloan Kettering Cancer Center [MSKCC], International Metastatic Renal-Cell Carcinoma Database Consortium [IMDC], and M.D. Anderson Cancer Center [MDACC]) stratified by NLR. Multivariable Cox regression determined predictors of overall survival. Receiver operator characteristic curves tested the predictive accuracy of survival ≥12 mo, and area under the curve (AUC) was compared between models.
RESULTS AND LIMITATIONS
In total, 332 patients were identified. Patients with NLR ≤4.0 had longer median survival (24.7 vs 15.2 mo, p=0.004). NLR >4.0 distinguished patients with significantly shorter survival for non-poor-risk groups defined by MSKCC, IMDC, and MDACC criteria. Systemic symptoms, low hemoglobin, elevated lactate dehydrogenase, retroperitoneal adenopathy, level IV thrombus, elevated absolute neutrophil count, and NLR >4 were independent predictors of decreased survival (p<0.05). These factors had higher predictive accuracy for survival at 12 mo (AUC=0.755) than MKSCC, IMDC, and MSKCC models.
CONCLUSIONS
NLR >4.0 independently predicts poor survival and further distinguishes established risk model survival curves. We identified seven preoperative risk factors related to poor survival for patients with metastatic RCC with tumor thrombus undergoing CN.
PATIENT SUMMARY
The neutrophil-lymphocyte ratio and six additional preoperative variables can be used to better council patients regarding survival after surgery for metastatic renal cell carcinoma with tumor thrombus.

Identifiants

pubmed: 30206003
pii: S2405-4569(18)30242-6
doi: 10.1016/j.euf.2018.08.023
pmc: PMC7771285
mid: NIHMS1655115
pii:
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

104-111

Subventions

Organisme : NCI NIH HHS
ID : P30 CA076292
Pays : United States

Informations de copyright

Copyright © 2018 European Association of Urology. Published by Elsevier B.V. All rights reserved.

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Auteurs

Charles C Peyton (CC)

Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL, USA. Electronic address: charles.peyton@moffitt.org.

E Jason Abel (EJ)

University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Juan Chipollini (J)

Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL, USA.

David C Boulware (DC)

Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL, USA.

Mounsif Azizi (M)

Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL, USA.

Jose A Karam (JA)

University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.

Vitaly Margulis (V)

University of Texas Southwestern Medical Center, Dallas, TX, USA.

Viraj A Master (VA)

The Emory Clinic, Atlanta, GA, USA.

Surena F Matin (SF)

University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.

Jay D Raman (JD)

Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.

Wade J Sexton (WJ)

Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL, USA.

Christopher G Wood (CG)

University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.

Philippe E Spiess (PE)

Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL, USA.

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Classifications MeSH