Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Cancer Control. 2024 Jan-Dec;31:10732748241288106. doi: 10.1177/10732748241288106.
To assess the value of pretreatment neutrophil-to-lymphocyte ratio (NLR) and systemic immunoinflammatory index (SII) in the prognosis of nasopharyngeal carcinoma (NPC) patients.
This retrospective study analyzed a total of 185 NPC patients who visited the clinic from June 2015 to December 2018 and were selected as study subjects. The NLR and SII were calculated based on the collection of demographic information, clinical characteristics, and pre-treatment lymphocyte counts, neutrophil counts, and platelet counts. Predictive efficacy was evaluated using the receiver operating characteristic (ROC) curve, and survival analysis was performed through life table methods and Cox risk-proportional regression.
Using the X-tile software, significant differences were found in clinical factors among NPC patients based on NLR (>2.91) and SII (>535.47). Age, TNM staging, SII, and NLR were identified as independent prognostic factors in a Cox regression analysis. SII had the highest area under the curve (AUC) for predicting 1-year survival, TNM staging had the highest AUC for predicting 3-year survival, and NLR had the highest AUC for predicting 5-year survival. The combined model showed superior predictive accuracy across all time points.
NLR and SII, as biomarkers of inflammation and immune status, have significant clinical applications in the prognostic assessment of NPC. The integrated prediction model combining age, TNM staging, SII, and NLR significantly improved the accuracy of survival prediction and provided a reliable basis for individualised treatment of NPC.
评估治疗前中性粒细胞与淋巴细胞比值(NLR)和全身免疫炎症指数(SII)在鼻咽癌(NPC)患者预后评估中的价值。
本回顾性研究共分析了 2015 年 6 月至 2018 年 12 月期间就诊的 185 例 NPC 患者,并将其作为研究对象。根据收集的人口统计学信息、临床特征以及治疗前的淋巴细胞计数、中性粒细胞计数和血小板计数,计算 NLR 和 SII。使用受试者工作特征(ROC)曲线评估预测效能,并通过生命表方法和 Cox 风险比例回归进行生存分析。
使用 X-tile 软件,根据 NLR(>2.91)和 SII(>535.47)对 NPC 患者的临床因素进行分析,发现存在显著差异。年龄、TNM 分期、SII 和 NLR 是 Cox 回归分析中独立的预后因素。SII 对预测 1 年生存率的 AUC 最高,TNM 分期对预测 3 年生存率的 AUC 最高,而 NLR 对预测 5 年生存率的 AUC 最高。联合模型在所有时间点均显示出更高的预测准确性。
NLR 和 SII 作为炎症和免疫状态的生物标志物,在 NPC 的预后评估中具有重要的临床应用价值。结合年龄、TNM 分期、SII 和 NLR 的综合预测模型显著提高了生存预测的准确性,为 NPC 的个体化治疗提供了可靠的依据。