Ko Chien-An, Fang Ku-Hao, Tsai Ming-Shao, Lee Yi-Chan, Lai Chia-Hsuan, Hsu Cheng-Ming, Huang Ethan I, Chang Geng-He, Tsai Yao-Te
Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Chiayi 60040, Taiwan.
College of Medicine, Chang Gung University, Taoyuan 330036, Taiwan.
Cancers (Basel). 2022 Oct 6;14(19):4892. doi: 10.3390/cancers14194892.
This study investigated preoperative neutrophil percentage-to-albumin ratio (NPAR) for predicting oral cavity squamous cell carcinoma (OSCC) survival. We retrospectively analyzed 368 patients who received curative OSCC surgery between 2008 and 2017. Receiver operating characteristic curve analyses were employed to identify the optimal NPAR cutoff (16.93), and the patients were then separated into low-NPAR and high-NPAR groups. Intergroup differences in survival were determined through Kaplan−Meier analysis and log-rank tests. Disease-free survival (DFS) and overall survival (OS) predictors were identified using Cox proportional-hazards models. A nomogram integrating independent prognostic factors was proposed to increase the accuracy of OS prediction. A high NPAR (≥16.93) was associated with worse median OS and DFS than was a low NPAR (both p < 0.001); this finding was confirmed through multivariate analyses (hazard ratio (HR) for OS = 2.697, p < 0.001; and HR for DFS = 1.671, p = 0.008). The nomogram’s favorable predictive ability was confirmed by the calibration plots and concordance index (0.784). The preoperative NPAR is thus a promising prognostic biomarker in patients with OSCC after external validation in a larger cohort. Our nomogram can facilitate clinical use of the NPAR and provides accurate individualized OS predictions.
本研究调查了术前中性粒细胞与白蛋白比值(NPAR)对口腔鳞状细胞癌(OSCC)生存的预测价值。我们回顾性分析了2008年至2017年间接受OSCC根治性手术的368例患者。采用受试者工作特征曲线分析确定最佳NPAR临界值(16.93),然后将患者分为低NPAR组和高NPAR组。通过Kaplan-Meier分析和对数秩检验确定组间生存差异。使用Cox比例风险模型确定无病生存(DFS)和总生存(OS)的预测因素。提出了一个整合独立预后因素的列线图,以提高OS预测的准确性。与低NPAR相比,高NPAR(≥16.93)与较差的中位OS和DFS相关(均p<0.001);多因素分析证实了这一发现(OS的风险比(HR)=2.697,p<0.001;DFS的HR=1.671,p=0.008)。校准图和一致性指数(0.784)证实了列线图良好的预测能力。因此,术前NPAR在更大队列中进行外部验证后,有望成为OSCC患者的预后生物标志物。我们的列线图可促进NPAR的临床应用,并提供准确的个体化OS预测。