Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Pan jia yuan nan Road 17, Beijing, 100021, China.
Eur Arch Otorhinolaryngol. 2023 Nov;280(11):5019-5029. doi: 10.1007/s00405-023-08077-8. Epub 2023 Jun 23.
To explore the risk factors for lymph node metastasis (LNM) and establish nomograms for predicting survival outcomes and assessing individual risk in patients with LNM and hypopharyngeal squamous carcinoma (HSCC).
Clinical data of patients with HSCC were retrospectively reviewed. The study's primary endpoints were overall survival (OS) and disease-specific survival (DSS). Nomograms were established based on Cox regression analyses. The accuracy and calibration ability of the nomograms were evaluated using the C-index, area under the curve, calibration curves, and decision curve analysis.
Overall, 2888 patients were enrolled, and the LNM rate was 74.2%. Age ≤ 60 years, male sex, unmarried status, pyriform sinus location, grade III-IV, tumor larger than 4 cm, and advanced T stage increased the risk of LNM. In addition, LNM was a negative prognostic factor for OS and DSS. Ten variables were identified and incorporated into nomograms to estimate OS and DSS. Our nomograms outperformed the traditional staging system in training and validation cohorts. Patients were stratified into risk subgroups based on the OS- and DSS-nomogram scores. Patients in the high-risk subgroup had a higher risk of death and disease-specific mortality than those in the low- and intermediate-risk subgroups.
LNM worsens the prognosis of HSCC. This study identified the independent prognostic factors for HSCC with LNM and developed satisfactory OS- and DSS-monogram to provide individual prediction and risk classification for patients with this diagnosis.
探讨下咽鳞癌(HSCC)患者发生淋巴结转移(LNM)的危险因素,并建立预测生存结局和评估个体风险的列线图。
回顾性分析 HSCC 患者的临床资料。本研究的主要终点是总生存(OS)和疾病特异性生存(DSS)。基于 Cox 回归分析建立列线图。通过 C 指数、曲线下面积、校准曲线和决策曲线分析评估列线图的准确性和校准能力。
共纳入 2888 例患者,LNM 率为 74.2%。年龄≤60 岁、男性、未婚、梨状窝部位、分级 III-IV、肿瘤直径大于 4cm、T 分期较晚均增加 LNM 的风险。此外,LNM 是 OS 和 DSS 的不良预后因素。确定了 10 个变量并纳入列线图中,以估计 OS 和 DSS。我们的列线图在训练和验证队列中的表现优于传统分期系统。根据 OS 和 DSS 列线图评分,患者被分为风险亚组。高危亚组的死亡和疾病特异性死亡率均高于低危和中危亚组。
LNM 会使 HSCC 的预后恶化。本研究确定了伴有 LNM 的 HSCC 的独立预后因素,并建立了满意的 OS 和 DSS 列线图,为该诊断患者提供了个体预测和风险分层。