A reliable and feasible way to predict the benefits of Nivolumab in patients with non-small cell lung cancer: a pooled analysis of 14 retrospective studies

Objective: Nivolumab has been used for treating non-small cell lung cancer (NSCLC) worldwide. Whether neutrophil-lymphocyte ratio (NLR) can predict the prognosis of NSCLC treated with Nivolumab is still under debate. This meta-analysis was to assess the significance of NLR as a predictive factor in...

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Main Authors: Dedong Cao, Huilin Xu, Ximing Xu, Tao Guo, Wei Ge
Format: Article
Language:English
Published: Taylor & Francis Group 2018-11-01
Series:OncoImmunology
Subjects:
Online Access:http://dx.doi.org/10.1080/2162402X.2018.1507262
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spelling doaj-467c481c61f14e3c86580000d840dd5d2021-01-26T11:50:11ZengTaylor & Francis GroupOncoImmunology2162-402X2018-11-0171110.1080/2162402X.2018.15072621507262A reliable and feasible way to predict the benefits of Nivolumab in patients with non-small cell lung cancer: a pooled analysis of 14 retrospective studiesDedong Cao0Huilin Xu1Ximing Xu2Tao Guo3Wei Ge4RenMin Hospital of WuHan UniversityThe Fifth Hospital of WuHanRenMin Hospital of WuHan UniversityHuaZhong University of Science and TechnologyRenMin Hospital of WuHan UniversityObjective: Nivolumab has been used for treating non-small cell lung cancer (NSCLC) worldwide. Whether neutrophil-lymphocyte ratio (NLR) can predict the prognosis of NSCLC treated with Nivolumab is still under debate. This meta-analysis was to assess the significance of NLR as a predictive factor in NSCLC patients receiving Nivolumab. Methods: Databases including PubMed, Embase, and the Cochrane library were searched to identify eligible studies evaluating the role of NLR in predicting prognosis of NSCLC treated with Nivolumab until March 2018 without language restrictions. The meta-analysis was performed using hazard ratio (HR) of progression free survival (PFS) and overall survival (OS) in NSCLC patients with various NLR. Results: A total of 14 retrospective studies consisting of 1225 NSCLC patients were included. The combined results showed that relatively higher baseline NLR was associated with poor PFS (HR = 1.44; 95% confidence interval (CI):1.18–1.77; p < 0.05) and OS (HR = 1.75; 95% CI: 1.33–2.30; p < 0.05) after treatment of Nivolumab. Subgroup analysis suggested that NLR ≥ 5 was more reliable for PFS (HR = 1.73; 95%CI: 1.14, 2.62; p < 0.05) and OS (HR = 1.76; 95%CI: 1.47, 2.10; p < 0.05). In addition, post-treatment NLR also had predictive roles for PFS (HR = 3.17; 95%CI: 1.48, 6.82; p < 0.05) and OS (HR = 2.26; 95%CI: 1.05, 4.86; p < 0.05). Conclusion: Our findings suggest that NLR can be used as a prognostic biomarker for NSCLC treating with Nivolumab, and the recommended cutoff value of NLR is 5.http://dx.doi.org/10.1080/2162402X.2018.1507262neutrophil-to-lymphocyte rationivolumabimmunotherapylung cancermeta-analysis
collection DOAJ
language English
format Article
sources DOAJ
author Dedong Cao
Huilin Xu
Ximing Xu
Tao Guo
Wei Ge
spellingShingle Dedong Cao
Huilin Xu
Ximing Xu
Tao Guo
Wei Ge
A reliable and feasible way to predict the benefits of Nivolumab in patients with non-small cell lung cancer: a pooled analysis of 14 retrospective studies
OncoImmunology
neutrophil-to-lymphocyte ratio
nivolumab
immunotherapy
lung cancer
meta-analysis
author_facet Dedong Cao
Huilin Xu
Ximing Xu
Tao Guo
Wei Ge
author_sort Dedong Cao
title A reliable and feasible way to predict the benefits of Nivolumab in patients with non-small cell lung cancer: a pooled analysis of 14 retrospective studies
title_short A reliable and feasible way to predict the benefits of Nivolumab in patients with non-small cell lung cancer: a pooled analysis of 14 retrospective studies
title_full A reliable and feasible way to predict the benefits of Nivolumab in patients with non-small cell lung cancer: a pooled analysis of 14 retrospective studies
title_fullStr A reliable and feasible way to predict the benefits of Nivolumab in patients with non-small cell lung cancer: a pooled analysis of 14 retrospective studies
title_full_unstemmed A reliable and feasible way to predict the benefits of Nivolumab in patients with non-small cell lung cancer: a pooled analysis of 14 retrospective studies
title_sort reliable and feasible way to predict the benefits of nivolumab in patients with non-small cell lung cancer: a pooled analysis of 14 retrospective studies
publisher Taylor & Francis Group
series OncoImmunology
issn 2162-402X
publishDate 2018-11-01
description Objective: Nivolumab has been used for treating non-small cell lung cancer (NSCLC) worldwide. Whether neutrophil-lymphocyte ratio (NLR) can predict the prognosis of NSCLC treated with Nivolumab is still under debate. This meta-analysis was to assess the significance of NLR as a predictive factor in NSCLC patients receiving Nivolumab. Methods: Databases including PubMed, Embase, and the Cochrane library were searched to identify eligible studies evaluating the role of NLR in predicting prognosis of NSCLC treated with Nivolumab until March 2018 without language restrictions. The meta-analysis was performed using hazard ratio (HR) of progression free survival (PFS) and overall survival (OS) in NSCLC patients with various NLR. Results: A total of 14 retrospective studies consisting of 1225 NSCLC patients were included. The combined results showed that relatively higher baseline NLR was associated with poor PFS (HR = 1.44; 95% confidence interval (CI):1.18–1.77; p < 0.05) and OS (HR = 1.75; 95% CI: 1.33–2.30; p < 0.05) after treatment of Nivolumab. Subgroup analysis suggested that NLR ≥ 5 was more reliable for PFS (HR = 1.73; 95%CI: 1.14, 2.62; p < 0.05) and OS (HR = 1.76; 95%CI: 1.47, 2.10; p < 0.05). In addition, post-treatment NLR also had predictive roles for PFS (HR = 3.17; 95%CI: 1.48, 6.82; p < 0.05) and OS (HR = 2.26; 95%CI: 1.05, 4.86; p < 0.05). Conclusion: Our findings suggest that NLR can be used as a prognostic biomarker for NSCLC treating with Nivolumab, and the recommended cutoff value of NLR is 5.
topic neutrophil-to-lymphocyte ratio
nivolumab
immunotherapy
lung cancer
meta-analysis
url http://dx.doi.org/10.1080/2162402X.2018.1507262
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