Cristofaro Maria Giulia, Ferragina Francesco, Tolino Federico, Barca Ida
Maxillofacial Surgery Unit, Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.
Oral and Maxillofacial Surgery Unit, IRCCS University Hospital of Bologna, 40138 Bologna, Italy.
Biomedicines. 2025 Mar 20;13(3):754. doi: 10.3390/biomedicines13030754.
: Oral tongue squamous cell carcinoma (OTSCC) is a common disease that can cause occult metastasis (OM). : This study aims to investigate the role of the pre-treatment neutrophil-to-lymphocyte ratio (NLR) in predicting the presence of neck OM in early-stage OTSCC. We reprocessed the pre-treatment blood data to calculate the NLR and the PLR on patients treated for OTSCC. We used a logistic regression model and the ROC curve to estimate the probability of metastases in cervical lymph nodes using data from pre-surgery blood tests. : During the period under review, 113 patients were treated for OTSCC; however, only 74 met the inclusion criteria and were, therefore, enrolled in the study. Twenty-five patients (35.3%) had lymph node metastases, and 46 (64.7%) did not. Without the NLR influence, the probability of metastasis is less than 50% (β0 = -1.058). A higher NLR value means a higher chance of metastasis. This is shown by the positive value of the NLR level coefficient (β1 = 0.135) and the ROC curve (AUC = 0.83). : Our study showed a statistical correlation between high pre-treatment NLR values and neck OM in patients with OTSCC. These results may help to identify which patients are at risk of developing OM and then choose the right treatment.
口腔舌鳞状细胞癌(OTSCC)是一种可导致隐匿性转移(OM)的常见疾病。本研究旨在探讨治疗前中性粒细胞与淋巴细胞比值(NLR)在预测早期OTSCC患者颈部OM存在中的作用。我们重新处理了OTSCC患者的治疗前血液数据,以计算NLR和血小板与淋巴细胞比值(PLR)。我们使用逻辑回归模型和受试者工作特征曲线(ROC曲线),利用术前血液检测数据来估计颈部淋巴结转移的概率。在审查期间,113例患者接受了OTSCC治疗;然而,只有74例符合纳入标准,因此被纳入研究。25例患者(35.3%)发生淋巴结转移,46例(64.7%)未发生转移。在不考虑NLR影响的情况下,转移概率小于50%(β0 = -1.058)。较高的NLR值意味着转移的可能性更高。这通过NLR水平系数的正值(β1 = 0.135)和ROC曲线(曲线下面积[AUC] = 0.83)得以体现。我们的研究表明,OTSCC患者治疗前较高的NLR值与颈部OM之间存在统计学相关性。这些结果可能有助于识别哪些患者有发生OM的风险,进而选择合适的治疗方法。