Integration of neutrophil to high-density lipoprotein ratio for prognostic assessment of nasopharyngeal carcinoma: a large-scale long-term retrospective study

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Authors: Nan-Jun Chen, Xu-Xin Lin, Rui-xin Cheng, Ao-Qiang Chen, Yong-Miao Lin, Zhi‐Qing Long, Fang-Fang Duan, Xin Huang, Wen Xia, De-Huan Xie, Yuan Lei, Sha-Sha Du
+2 more C-Y Ren, Xin Hua
Cited by: 1
References: 36

Abstract

Background: Recent research suggests that the emerging neutrophil to high-density lipoprotein ratio (NHR) has a significant correlation with the survival outcomes across a range of tumors. However, its prognostic value in nasopharyngeal carcinoma (NPC) remained to be elucidated. This study aimed to evaluate the relationship between NHR and overall survival (OS) in patients with NPC, as well as to develop a corresponding prognostic model. Methods: We conducted a retrospective analysis of 834 NPC patients who received platinum-based concurrent chemoradiotherapy (CCRT) between January 2010 and December 2014. The optimal NHR cutoff was determined using maximally selected rank statistics. Survival analyses were performed using Kaplan-Meier methods and Cox regression models. A prognostic nomogram incorporating NHR with conventional risk factors was developed and validated. Results: The NHR score successfully segregated NPC patients into two categories with significantly different OS (HR = 0.672, 95% CI: 0.481-0.939, P = 0.019). Multivariate analysis confirmed NHR as an independent prognostic factor, along with age, T stage, and N stage. Considering EBV-DNA is a well-established prognostic factor for NPC in accordance with clinical practice and previous studies, we incorporated it together with the above factors to construct the prognostic nomogram. The established nomogram showed modestly higher predictive accuracy (C-index = 0.696, 95% CI: 0.654-0.738) compared to conventional staging parameters (C-index = 0.648, 95% CI: 0.583-0.713). Conclusion: Pre-treatment NHR serves as an independent prognostic indicator for survival in NPC patients undergoing CCRT. This readily available, cost-effective biomarker, when integrated with traditional prognostic factors, provides a comprehensive tool for risk stratification and treatment planning. External validation through multicenter studies is warranted to confirm these findings.

Fields of Study & Subjects

Inflammatory Biomarkers in Disease Prognosis Cancer Lipids and Metabolism Head and Neck Cancer Studies

Publication details

Journal / source
Frontiers in Physiology
Publisher
Frontiers Media SA
Volume
17
Pages
1729581–1729581
Publication date
7 April 2026
Language
EN