Troise Stefania, Di Blasi Fabio, Esposito Maria, Togo Giulia, Pacella Daniela, Merola Raffaele, Di Crescenzo Rosa Maria, Staibano Stefania, Abbate Vincenzo, Bonavolontà Paola, Salzano Giovanni, Nocini Riccardo, Navarro Cuellar Carlos, Dell'Aversana Orabona Giovanni
Maxillofacial Surgery Unit, Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, 80131 Naples, Italy.
Maxillofacial and ENT Surgery Unit, Tumors National Institute IRCCS G. Pascale, 80131 Naples, Italy.
Cancers (Basel). 2025 Apr 12;17(8):1305. doi: 10.3390/cancers17081305.
BACKGROUND/OBJECTIVES: Oral cavity carcinomas (OCCs) represent roughly 50% of all head and neck cancers. The risk of occult neck metastases for early-stage OCCs ranges from 15 to 35%, thus the need to develop tools that can support the diagnosis detecting these neck metastases. Inflammatory biomarkers and perineural and lympho-vascular invasion are emerging as effective in this field. The aim of this study is to demonstrate the effectiveness of these parameters to detect occult neck metastases in early-stage (T1-T2/N0) OCCs.
A retrospective analysis was conducted on 81 patients surgically treated for early-stage OCC. For all patients, data regarding TNM, pN status after the histopathological examination, inflammatory biomarkers, and perineural and lympho-vascular invasion have been obtained. A statistical analysis was performed using the receiver operating characteristic (ROC) curve to calculate the optimal cutoff values for SII, SIRI, PLR, and NLR.
Fifty-eight patients confirmed N0 status after surgery, while twenty-three resulted pN+. The best cut-off to detect occult neck metastases were PLR 249.30, NLR 13.10, MLR 0.439, SII 1043.12, and SIRI 1.85. The accuracy to detect occult neck metastases was PLR 75%, NLR 81%, MLR 74%, SII 73%, SIRI 70%, perineural invasion 70%, and lympho-vascular invasion 83%.
Our results confirm that inflammatory biomarkers and perineural and lympho-vascular invasion are effective in detecting occult neck metastases in early-stage OCCs. The clinical relevance of this study is that these parameters could be used routinely as preoperative tools to support diagnosis and to help surgeons in the decision-making process, particularly regarding surgical indications for neck lymph nodes treatment.
背景/目的:口腔癌(OCC)约占所有头颈癌的50%。早期OCC发生隐匿性颈部转移的风险为15%至35%,因此需要开发能够辅助诊断这些颈部转移的工具。炎症生物标志物以及神经周围和淋巴管侵犯在该领域正显示出有效性。本研究的目的是证明这些参数在检测早期(T1-T2/N0)OCC隐匿性颈部转移方面的有效性。
对81例接受早期OCC手术治疗的患者进行回顾性分析。获取了所有患者的TNM数据、组织病理学检查后的pN状态、炎症生物标志物以及神经周围和淋巴管侵犯情况。使用受试者工作特征(ROC)曲线进行统计分析,以计算全身免疫炎症指数(SII)、全身炎症反应指数(SIRI)、血小板与淋巴细胞比值(PLR)和中性粒细胞与淋巴细胞比值(NLR)的最佳临界值。
58例患者术后证实为N0状态,23例为pN+。检测隐匿性颈部转移的最佳临界值为PLR 249.30、NLR 13.10、MLR 0.439、SII 1043.12和SIRI 1.85。检测隐匿性颈部转移的准确率分别为:PLR 75%、NLR 81%、MLR 74%、SII 73%、SIRI 70%、神经周围侵犯70%、淋巴管侵犯83%。
我们的结果证实,炎症生物标志物以及神经周围和淋巴管侵犯在检测早期OCC隐匿性颈部转移方面是有效的。本研究的临床意义在于,这些参数可常规用作术前工具,以辅助诊断并帮助外科医生进行决策,特别是在颈部淋巴结治疗的手术指征方面。