Kun Gao, Zhigong Wei, Zheran Liu, Yiyan Pei, Huilin Li, Ge Song, Jin Xiang, Junyou Ge, Yan Qing, Youneng Wei, Ping Ai, Ye Chen, Xingchen Peng
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We employed restricted cubic spline plots to get the nonlinear relationship between NLR and progression-free survival (PFS) or overall survival (OS). We identified the ideal cut-off value through the analysis of the receiver operating characteristic curve (ROC curve). We used Logistic regression, Cox regression, Log-rank test, and Kaplan–Meier method to analyze the association between NLR and patients' disease control rate (DCR) and PFS or OS.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The ideal threshold value for NLR was 2.826. NLR was identified as a significant independent predictor of DCR (OR = 0.17, 95% CI = 0.05–0.48, <i>p</i> = 0.001), indicating that a higher NLR is associated with worse DCR. NLR (AUC = 0.634) showed superior predictive capability for DCR in comparison to lymphocytes (AUC = 0.602) and neutrophils (AUC = 0.593). High NLR values were risk factors both for poor PFS (HR = 2.53, 95% CI = 1.58–4.06, <i>p</i> < 0.001) and OS (HR = 3.89, 95% CI = 2.09–7.24, <i>p</i> < 0.001).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Elevated NLR is strongly associated with lower response to treatment and reduced survival rates in patients with R/M NPC being treated with PD-L1 inhibitors. 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引用次数: 0
摘要
背景:中性粒细胞与淋巴细胞比率(NLR)可以作为患者免疫状态的简单指标,代表全身炎症反应的状态。免疫治疗现在是复发或转移性鼻咽癌(R/M鼻咽癌)公认的二线治疗方法。然而,NLR在接受PD-L1(程序性细胞死亡配体1)抑制剂治疗的R/M NPC患者中的意义仍不确定。方法:我们从一项多中心前瞻性2期研究中分析了基线NLR与153例患者的疗效和生存之间的关系。我们采用限制性三次样条图得到NLR与无进展生存期(PFS)或总生存期(OS)之间的非线性关系。通过对受试者工作特征曲线(ROC曲线)的分析,确定理想的截止值。采用Logistic回归、Cox回归、Log-rank检验和Kaplan-Meier法分析NLR与患者疾病控制率(DCR)、PFS或OS的相关性。结果:NLR的理想阈值为2.826。NLR被确定为DCR的重要独立预测因子(OR = 0.17, 95% CI = 0.05-0.48, p = 0.001),表明NLR越高,DCR越差。NLR (AUC = 0.634)对DCR的预测能力优于淋巴细胞(AUC = 0.602)和中性粒细胞(AUC = 0.593)。高NLR值是不良PFS的危险因素(HR = 2.53, 95% CI = 1.58-4.06, p)结论:NLR升高与接受PD-L1抑制剂治疗的R/M NPC患者对治疗的反应较低和生存率降低密切相关。NLR值高的患者疗效差,生存率低。
Neutrophil-to-Lymphocyte Ratio as a Predictor for PD-L1 Inhibitor Treatment in Recurrent or Metastatic Nasopharyngeal Carcinoma
Background
Neutrophil-to-lymphocyte ratio (NLR) can be treated as a simple indicator of patients' immune status by representing the state of the systemic inflammatory response. Immunotherapy now is the accepted second-line treatment for recurrent or metastatic nasopharyngeal carcinoma (R/M NPC). However, the significance of NLR in patients with R/M NPC undergoing treatment with PD-L1 (programmed cell death-ligand 1) inhibitors is still uncertain.
Methods
We analyzed the relationship between baseline NLR with 153 patients' efficacy and survival from a multicenter, prospective, Phase 2 study. We employed restricted cubic spline plots to get the nonlinear relationship between NLR and progression-free survival (PFS) or overall survival (OS). We identified the ideal cut-off value through the analysis of the receiver operating characteristic curve (ROC curve). We used Logistic regression, Cox regression, Log-rank test, and Kaplan–Meier method to analyze the association between NLR and patients' disease control rate (DCR) and PFS or OS.
Results
The ideal threshold value for NLR was 2.826. NLR was identified as a significant independent predictor of DCR (OR = 0.17, 95% CI = 0.05–0.48, p = 0.001), indicating that a higher NLR is associated with worse DCR. NLR (AUC = 0.634) showed superior predictive capability for DCR in comparison to lymphocytes (AUC = 0.602) and neutrophils (AUC = 0.593). High NLR values were risk factors both for poor PFS (HR = 2.53, 95% CI = 1.58–4.06, p < 0.001) and OS (HR = 3.89, 95% CI = 2.09–7.24, p < 0.001).
Conclusion
Elevated NLR is strongly associated with lower response to treatment and reduced survival rates in patients with R/M NPC being treated with PD-L1 inhibitors. Patients with high NLR values have poor efficacy and survival.
期刊介绍:
Head & Neck is an international multidisciplinary publication of original contributions concerning the diagnosis and management of diseases of the head and neck. This area involves the overlapping interests and expertise of several surgical and medical specialties, including general surgery, neurosurgery, otolaryngology, plastic surgery, oral surgery, dermatology, ophthalmology, pathology, radiotherapy, medical oncology, and the corresponding basic sciences.