Department of Hematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Ann Hematol. 2024 May;103(5):1687-1695. doi: 10.1007/s00277-024-05668-1. Epub 2024 Mar 1.
Primary lymphoma of the male genital tract (PLMGT) is rare, and data on its epidemiology and prognosis are lacking. Our study aimed to estimate the incidence and develop a predictive nomogram for PLMGT. We pooled the incidence and survival data of PLMGT over the last 20 years from the Surveillance, Epidemiology, and End Results (SEER) database. Incidence rates were calculated by year of diagnosis, age, race, and histology. Independent prognostic factors selected by Cox regression analysis were used to develop a nomogram for predicting overall survival (OS). Our study enrolled 1312 patients with PLMGT. The overall incidence rate of PLMGT was 0.437/1,000,000 during 2000-2019. OS was associated with age, marital status, histological subtype, Ann Arbor stage, and therapeutic strategy, which were used to construct nomograms to predict 1-, 3-, and 5-year OS rates. Receiver operating characteristic curves, calibration plots, and decision curve analysis showed good performance of the nomogram. Based on the total score of each patient from the nomogram, the patients were clustered into three risk groups, and the risk stratification model was more successful in predicting clinical outcomes than the traditional Ann Arbor staging system. The incidence rate of PLMGT has remained relatively stable over the past two decades. For the OS of patients with PLMGT, we established a novel predictive nomogram involving all independent risk factors obtained from the SEER database and developed a corresponding risk classification system that showed better predictive performance than the Ann Arbor staging system.
原发性男性生殖系统淋巴瘤(PLMGT)较为罕见,其流行病学和预后数据较为缺乏。本研究旨在评估其发病率并建立预测模型。我们汇总了过去 20 年 SEER 数据库中关于 PLMGT 的发病率和生存数据。发病率按诊断年份、年龄、种族和组织学进行计算。采用 Cox 回归分析选择独立预后因素,建立用于预测总生存期(OS)的列线图。我们共纳入了 1312 例 PLMGT 患者。2000-2019 年,PLMGT 的总体发病率为 0.437/100 万。OS 与年龄、婚姻状况、组织学亚型、Ann Arbor 分期和治疗策略有关,这些因素被用于构建预测 1、3 和 5 年 OS 率的列线图。ROC 曲线、校准图和决策曲线分析表明,该列线图性能良好。根据列线图中每位患者的总分,将患者聚类为三个风险组,该风险分层模型在预测临床结局方面比传统的 Ann Arbor 分期系统更成功。在过去的二十年中,PLMGT 的发病率保持相对稳定。对于 PLMGT 患者的 OS,我们建立了一个新的预测列线图,其中包含了从 SEER 数据库获得的所有独立风险因素,并开发了一个相应的风险分类系统,其预测性能优于 Ann Arbor 分期系统。