School of Stomatology, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China.
Eur Arch Otorhinolaryngol. 2023 Aug;280(8):3867-3875. doi: 10.1007/s00405-023-07971-5. Epub 2023 Apr 18.
Floor of mouth squamous cell carcinoma (SCCFOM) is a rare but aggressive malignancy with 5-year overall survival (OS) rates below 40% in published studies. However, the clinicopathological predictors of the prognosis of SCCFOM remain undefined. We aimed to establish a model to predict the survival outcomes of SCCFOM.
We searched the Surveillance, Epidemiology, and End Results (SEER) database for patients diagnosed with SCCFOM between 2000 and 2017. Data on patient demographics, treatment modalities, and survival outcomes were retrieved. Risk factors for OS were evaluated by survival and Cox regression analyses. A nomogram for OS was developed based on the multivariate model and split the patients into high- and low-risk cohorts based on cutoff values.
Overall, 2014 SCCFOM patients were included in this population-based study. Multivariate Cox regression showed that age, married status, grade, American Joint Committee on Cancer stage, radiotherapy, chemotherapy, and surgery were significant risk factors for survival. A nomogram was established using the regression model. The C-indices, areas under the receiver operating characteristic curves, and calibration plots demonstrated the reliable performance of the nomogram. Patients assigned to the high-risk group had a significantly lower survival rate.
The nomogram predicting survival outcomes of SCCFOM patients based on clinical information showed good discriminative ability and prognostic accuracy. Our nomogram could be used to predict the survival probabilities for SCCFOM patients at different timepoints.
口腔底部鳞状细胞癌(SCCFOM)是一种罕见但侵袭性的恶性肿瘤,在已发表的研究中,其 5 年总生存率(OS)低于 40%。然而,SCCFOM 预后的临床病理预测因素仍未确定。我们旨在建立一个模型来预测 SCCFOM 的生存结果。
我们在 2000 年至 2017 年间从监测、流行病学和最终结果(SEER)数据库中搜索诊断为 SCCFOM 的患者。检索患者人口统计学、治疗方式和生存结果的数据。通过生存和 Cox 回归分析评估 OS 的危险因素。基于多变量模型,为 OS 开发了一个列线图,并根据截断值将患者分为高风险和低风险组。
在这项基于人群的研究中,共有 2014 例 SCCFOM 患者纳入研究。多变量 Cox 回归显示,年龄、婚姻状况、分级、美国癌症联合委员会分期、放疗、化疗和手术是生存的显著危险因素。使用回归模型建立了一个列线图。C 指数、接受者操作特征曲线下面积和校准图表明了列线图的可靠性能。被分配到高风险组的患者生存率明显较低。
基于临床信息预测 SCCFOM 患者生存结果的列线图显示出良好的判别能力和预测准确性。我们的列线图可以用于预测不同时间点 SCCFOM 患者的生存概率。