Yang Lu, Gu Yufeng, Yu Lei, Zhou Qiang, Liu Li, Mao Ying, Ma Ji, Li Yong, Li Na
Department of Oncology, Suining Central Hospital, Suining, China.
Department of Oncology, The First People's Hospital of Guangyuan, Guangyuan, China.
Cancer Control. 2025 Jan-Dec;32:10732748241303423. doi: 10.1177/10732748241303423.
Our study aimed to update demographic profiles of sinonasal adenocarcinoma (SNAC) between 2000 and 2020, identify independent prognostic risk factors, and devise a predictive nomogram for overall survival (OS).
Utilizing the Surveillance, Epidemiology, and End Results (SEER) database, cases of SNAC from 2000 to 2020 were analyzed for incidence trends. Univariate and multivariate Cox regression models helped pinpoint factors impacting patient survival. A prognostic nomogram was then created based on these factors and assessed via concordance index, ROC analysis, and calibration curves.
Analysis of 488 SNAC patients indicated a rising incidence, peaking among 60-69-year-olds, with a male predominance and the highest occurrence in White populations. Common sites of occurrence included the nasal cavity, and the maxillary and ethmoid sinuses. The nomogram, developed with 184 patients, highlighted older age (≥70), male sex, advanced T stages (T4b, T4a), distant metastasis, larger tumors (≥5 cm), and lack of surgery as poor prognostic indicators. Nomogram performance demonstrated strong predictive capabilities in both training and validation cohorts.
This investigation, leveraging the SEER database, elucidates the epidemiology of SNAC and pinpoints key adverse prognostic determinants: age ≥70, male gender, T stages T4b and T4a, presence of distant metastasis, tumor size exceeding 5 cm, and absence of surgical intervention. Moreover, it introduces a novel nomogram capable of accurately forecasting 1-, 3-, and 5-year OS for SNAC patients, thereby enhancing disease comprehension and facilitating the formulation of tailored therapeutic strategies by clinicians.
我们的研究旨在更新2000年至2020年间鼻窦腺癌(SNAC)的人口统计学特征,确定独立的预后风险因素,并设计一个总生存(OS)预测列线图。
利用监测、流行病学和最终结果(SEER)数据库,分析2000年至2020年SNAC病例的发病趋势。单因素和多因素Cox回归模型有助于确定影响患者生存的因素。然后根据这些因素创建一个预后列线图,并通过一致性指数、ROC分析和校准曲线进行评估。
对488例SNAC患者的分析表明发病率呈上升趋势,在60-69岁人群中达到峰值,男性占主导,白种人发病率最高。常见发病部位包括鼻腔、上颌窦和筛窦。用184例患者开发的列线图显示,年龄较大(≥70岁)、男性、晚期T分期(T4b、T4a)、远处转移、肿瘤较大(≥5 cm)和未接受手术是不良预后指标。列线图在训练队列和验证队列中均表现出强大的预测能力。
本研究利用SEER数据库,阐明了SNAC的流行病学特征,并确定了关键的不良预后决定因素:年龄≥70岁、男性、T分期T4b和T4a、远处转移的存在、肿瘤大小超过5 cm以及未进行手术干预。此外,它还引入了一种新型列线图,能够准确预测SNAC患者的1年、3年和5年总生存率,从而增强对该疾病的理解,并有助于临床医生制定个性化的治疗策略。