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The Neutrophil-to-Lymphocyte Ratio as a Prognostic Indicator in Head and Neck Cancer: A Systematic Review and Meta-Analysis

View ORCID ProfileTristan Tham, Yonatan Bardash, Wendy Herman, Peter Costantino
doi: https://doi.org/10.1101/217034
Tristan Tham
New York Head & Neck Insititute;
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  • ORCID record for Tristan Tham
  • For correspondence: tristantham@gmail.com
Yonatan Bardash
Hofstra Northwell School of Medicine
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Wendy Herman
Hofstra Northwell School of Medicine
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Peter Costantino
New York Head & Neck Insititute;
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Abstract

Background: The aim of this systematic review and meta-analysis was to investigate the relationship between the Neutrophil-to-Lymphocyte Ratio (NLR) and prognosis in HNC. Methods: Studies were identified from Pubmed, Embase, Scopus, and the Cochrane Library. A systematic review and meta-analysis were performed to generate the pooled hazard ratios (HR) for overall survival (OS), disease free survival (DFS), and progression free survival (PFS). Results: Our analysis combined the results of over 6770 patients in 26 cohorts (25 studies). The pooled data demonstrated that an elevated NLR significantly predicted poorer OS, DFS, and PFS. Heterogeneity was found for OS, PFS, and marginally for DFS. Subgroup analysis in OS demonstrated that elevated NLR remained an indicator of poor prognosis. Conclusions: Elevated pretreatment NLR is a prognostic marker for HNC. It represents a simple and easily obtained marker that could be used to stratify groups of high-risk patients that might benefit from adjuvant therapy.

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The copyright holder for this preprint is the author/funder. It is made available under a CC-BY 4.0 International license.
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  • Posted November 9, 2017.

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The Neutrophil-to-Lymphocyte Ratio as a Prognostic Indicator in Head and Neck Cancer: A Systematic Review and Meta-Analysis
Tristan Tham, Yonatan Bardash, Wendy Herman, Peter Costantino
bioRxiv 217034; doi: https://doi.org/10.1101/217034
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The Neutrophil-to-Lymphocyte Ratio as a Prognostic Indicator in Head and Neck Cancer: A Systematic Review and Meta-Analysis
Tristan Tham, Yonatan Bardash, Wendy Herman, Peter Costantino
bioRxiv 217034; doi: https://doi.org/10.1101/217034

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