鼻咽癌患者治疗前血液学标志物作为预后因素：中性粒细胞与淋巴细胞比值和血小板与淋巴细胞比值

Pretreatment hematologic markers as prognostic factors in patients with nasopharyngeal carcinoma: Neutrophil-lymphocyte ratio and platelet-lymphocyte ratio.

作者信息

Sun Wei, Zhang Linli, Luo Min, Hu Guangyuan, Mei Qi, Liu Dongbo, Long Guoxian, Hu Guoqing

机构信息

Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, People's Republic of China.

出版信息

Head Neck. 2016 Apr;38 Suppl 1:E1332-40. doi: 10.1002/hed.24224. Epub 2015 Sep 11.

DOI:10.1002/hed.24224

PMID:26362911

Abstract

BACKGROUND

Pretreatment hematological markers of inflammatory response have emerged as prognostic factors for patients with cancer. In this study, we evaluated the prognostic significance of various hematologic parameters in patients with nasopharyngeal carcinoma (NPC).

METHODS

Clinical data from 251 patients with NPC were retrospectively collected. Neutrophil counts, lymphocyte counts, platelet counts, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) were adopted as potential prognostic biomarkers. The Kaplan-Meier method and log-rank test were adopted to calculate and compare the progression-free survival (PFS) and overall survival (OS) rates. The Cox proportional hazards model was used to carry out univariate and multivariate analyses.

RESULTS

NLR ≥2.7 (hazard ratio [HR] = 2.01; 95% confidence interval [CI] = 1.23-3.29; p = .005) and PLR ≥167.2 (HR = 2.12; 95% CI = 1.35-3.33; p = .001) were significantly associated with shorter PFS, whereas PLR ≥163.4 (HR = 2.64; 95% CI = 1.25-5.60; p = .011) was correlated with poor OS.

CONCLUSION

摘要

背景

炎症反应的预处理血液学标志物已成为癌症患者的预后因素。在本研究中，我们评估了各种血液学参数在鼻咽癌（NPC）患者中的预后意义。

方法

回顾性收集251例NPC患者的临床资料。采用中性粒细胞计数、淋巴细胞计数、血小板计数、中性粒细胞与淋巴细胞比值（NLR）和血小板与淋巴细胞比值（PLR）作为潜在的预后生物标志物。采用Kaplan-Meier法和对数秩检验计算并比较无进展生存期（PFS）和总生存期（OS）率。使用Cox比例风险模型进行单因素和多因素分析。

结果

NLR≥2.7（风险比[HR]=2.01；95%置信区间[CI]=1.23-3.29；p=0.005）和PLR≥167.2（HR=2.12；95%CI=1.35-3.33；p=0.001）与较短的PFS显著相关，而PLR≥163.4（HR=2.64；95%CI=1.25-5.60；p=0.011）与较差的OS相关。