Variation in neutrophil to lymphocyte ratio (NLR) as predictor of outcomes in metastatic renal cell carcinoma (mRCC) and non-small cell lung cancer (mNSCLC) patients treated with nivolumab.


Journal

Cancer immunology, immunotherapy : CII
ISSN: 1432-0851
Titre abrégé: Cancer Immunol Immunother
Pays: Germany
ID NLM: 8605732

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 20 01 2020
accepted: 10 06 2020
pubmed: 21 6 2020
medline: 15 12 2020
entrez: 21 6 2020
Statut: ppublish

Résumé

An elevated pre-treatment neutrophil to lymphocytes ratio (NLR) is associated with poor prognosis in various malignancies. Optimal cut-off is highly variable across studies and could not be determined individually for a patient to inform his prognosis. We hypothesize that NLR variations could be more useful than baseline NLR to predict progression-free survival (PFS) and overall survival (OS) in patients (pts) receiving anti-PD1 treatment. All pts with metastatic renal cell carcinoma (mRCC) and metastatic non-small cell lung cancer (mNSCLC) who received anti-PD1 nivolumab monotherapy in second-line setting or later were included in this French multicentric retrospective study. NLR values were prospectively collected prior to each nivolumab administration. Clinical characteristics were recorded. Associations between baseline NLR, NLR variations and survival outcomes were determined using Kaplan-Meier's method and multivariable Cox regression models. 161 pts (86 mRCC and 75 mNSCLC) were included with a median follow-up of 18 months. On the whole cohort, any NLR increase at week 6 was significantly associated with worse outcomes compared to NLR decrease, with a median PFS of 11 months vs 3.7 months (p < 0.0001), and a median OS of 28.5 months vs. 18 months (p = 0.013), respectively. In multivariate analysis, NLR increase was significantly associated with worse PFS (HR 2.2; p = 6.10 Any NLR increase at week 6 was associated with worse PFS and OS outcomes. NLR variation is an inexpensive and dynamic marker easily obtained to monitor anti-PD1 efficacy.

Sections du résumé

BACKGROUND BACKGROUND
An elevated pre-treatment neutrophil to lymphocytes ratio (NLR) is associated with poor prognosis in various malignancies. Optimal cut-off is highly variable across studies and could not be determined individually for a patient to inform his prognosis. We hypothesize that NLR variations could be more useful than baseline NLR to predict progression-free survival (PFS) and overall survival (OS) in patients (pts) receiving anti-PD1 treatment.
PATIENTS AND METHODS METHODS
All pts with metastatic renal cell carcinoma (mRCC) and metastatic non-small cell lung cancer (mNSCLC) who received anti-PD1 nivolumab monotherapy in second-line setting or later were included in this French multicentric retrospective study. NLR values were prospectively collected prior to each nivolumab administration. Clinical characteristics were recorded. Associations between baseline NLR, NLR variations and survival outcomes were determined using Kaplan-Meier's method and multivariable Cox regression models.
RESULTS RESULTS
161 pts (86 mRCC and 75 mNSCLC) were included with a median follow-up of 18 months. On the whole cohort, any NLR increase at week 6 was significantly associated with worse outcomes compared to NLR decrease, with a median PFS of 11 months vs 3.7 months (p < 0.0001), and a median OS of 28.5 months vs. 18 months (p = 0.013), respectively. In multivariate analysis, NLR increase was significantly associated with worse PFS (HR 2.2; p = 6.10
CONCLUSION CONCLUSIONS
Any NLR increase at week 6 was associated with worse PFS and OS outcomes. NLR variation is an inexpensive and dynamic marker easily obtained to monitor anti-PD1 efficacy.

Identifiants

pubmed: 32561968
doi: 10.1007/s00262-020-02637-1
pii: 10.1007/s00262-020-02637-1
doi:

Substances chimiques

Nivolumab 31YO63LBSN

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

2513-2522

Auteurs

A Simonaggio (A)

Medical Oncology Department, Hôpital Européen Georges Pompidou, Paris, France.

R Elaidi (R)

Medical Oncology Department, Hôpital Européen Georges Pompidou, Paris, France.

L Fournier (L)

Department of Radiology, Hôpital Européen Georges Pompidou, Paris, France.

E Fabre (E)

Medical Thoracic Oncology Department, Hopital Européen Georges Pompidou, Paris, France.
U970, Université Paris Descartes Sorbonne Paris-Cité, 75006, Paris, France.

V Ferrari (V)

Department of Medical Oncology, Centre Antoine Lacassagne, Université Côte d'Azur, Nice, France.

D Borchiellini (D)

Department of Medical Oncology, Centre Antoine Lacassagne, Université Côte d'Azur, Nice, France.

J Thouvenin (J)

Department of Medical Oncology, University Hospital of Strasbourg, Strasbourg, France.

P Barthelemy (P)

Department of Medical Oncology, University Hospital of Strasbourg, Strasbourg, France.

C Thibault (C)

Medical Oncology Department, Hôpital Européen Georges Pompidou, Paris, France.

E Tartour (E)

Department of Immunology, Hôpital Européen Georges Pompidou, 75015, Paris, France.
U970, Université Paris Descartes Sorbonne Paris-Cité, 75006, Paris, France.

S Oudard (S)

Medical Oncology Department, Hôpital Européen Georges Pompidou, Paris, France.

Y A Vano (YA)

Medical Oncology Department, Hôpital Européen Georges Pompidou, Paris, France. yann.vano@aphp.fr.
INSERM, UMR-S 1138, Centre de Recherche des Cordeliers, Team "Cancer, Immune Control and Escape", University Paris Descartes Sorbonne, 75006, Paris, France. yann.vano@aphp.fr.

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Classifications MeSH