Department of Neurosurgery, The First Hospital of Jilin University, Changchun, 130021, China.
Department of Neurosurgery, The Second Hospital of Jilin University, Changchun, 130041, China.
Sci Rep. 2024 May 28;14(1):12219. doi: 10.1038/s41598-024-63218-1.
Choroid plexus tumors (CPT) are rare and highly vascularized neoplasms that have three histologically confirmed diagnoses, including choroid plexus papilloma, atypical choroid plexus papilloma, and choroid plexus carcinoma (CPC). This study aimed to determine the epidemiology and survival of patients with CPTs and develop a nomogram to quantify the prognosis of the patients with CPT. Data of 808 patients who were diagnosed as CPT between 2000 and 2020 was obtained from the surveillance, epidemiology, and end results database. Descriptive analysis was used to assess the distribution and tumor-related characteristics of the patients with CPT. Independent prognostic factors for patients with CPT were identified by univariate and multivariate Cox regression analysis. The nomogram was established and evaluated by receiver operating characteristic curve, and decision curve analysis (DCA), calibration curves. The independent prognostic factors for patients with CPT are age, tumor size, surgery, chemotherapy, tumor number, pathologies, and race. For the prognostic nomogram, the area under the curve (AUC) of 60-, 120-, and 180-months were 0.855, 0.869 and 0.857 in the training set and 0.836, 0.864 and 0.922 in the test set. The DCA and calibration curve indicated the good performance of the nomogram. Patients with CPTs can be diagnosed at any age. Among the three histopathological tumors, patients with CPC had the worst prognosis. The nomogram was established to predict the prognosis of patients with CPT, which had satisfactory accuracy, and clinical utility may benefit for clinical decision-making.
脉络丛肿瘤（Choroid plexus tumors，CPT）是一种罕见的高度血管化肿瘤，有三种经组织学证实的诊断，包括脉络丛乳头状瘤、非典型脉络丛乳头状瘤和脉络丛癌（Choroid plexus carcinoma，CPC）。本研究旨在确定 CPT 患者的流行病学和生存率，并制定一个列线图来量化 CPT 患者的预后。从监测、流行病学和最终结果数据库中获得了 2000 年至 2020 年间被诊断为 CPT 的 808 名患者的数据。采用描述性分析评估 CPT 患者的分布和肿瘤相关特征。通过单因素和多因素 Cox 回归分析确定 CPT 患者的独立预后因素。通过受试者工作特征曲线（Receiver operating characteristic curve，ROC）和决策曲线分析（Decision curve analysis，DCA）评估和建立列线图。CPT 患者的独立预后因素为年龄、肿瘤大小、手术、化疗、肿瘤数量、病理类型和种族。对于预后列线图，训练集和测试集 60、120 和 180 个月的曲线下面积（Area under the curve，AUC）分别为 0.855、0.869 和 0.857，0.836、0.864 和 0.922。DCA 和校准曲线表明该列线图具有良好的性能。CPT 患者可在任何年龄被诊断。在三种组织病理学肿瘤中，CPC 患者的预后最差。建立列线图以预测 CPT 患者的预后，其准确性令人满意，临床实用性可能有助于临床决策。
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