Department of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu province, China.
Department of Obstetrics and Gynecology, Affiliated Nanjing Maternity and Child Health Hospital, Nanjing Medical University, Nanjing, Jiangsu province, China.
Bosn J Basic Med Sci. 2021 Oct 1;21(5):607-619. doi: 10.17305/bjbms.2020.5345.
The purpose of this study was to investigate trends in the incidence of upper tract urothelial carcinoma (UTUC) in patients and to establish a reliable and practical nomogram based on significant clinical factors to predict the overall survival (OS) and cancer-specific survival (CSS) of UTUC patients. The Surveillance, Epidemiology, and End Results (SEER) database was used to extract data on UTUC patients between 1988 and 2015. Incidence was calculated using Joinpoint regression software, and trends were quantified by annual percentage change (APC). A nomogram was constructed using R software to predict the OS and CSS probabilities for individual patients. From 1988 to 2015, the incidence of UTUC showed a downward trend (1988: 1.57/100,000 to 2015: 1.51/100,000; APC=-0.1). After stratification according to sex, age and primary site, we found that the incidences of UTUC in males, patients 70+ years old and the renal pelvis were higher than those in females, patients <70 years old and ureter cancer patients. In the training cohort, the nomogram established based on multivariate Cox regression results showed better OS and CSS accuracy (OS: C-index=0.701, AUC=0.736; CSS: C-index=0.729, and AUC=0.688) than SEER stage. In addition, the calibration curves showed good consistency between the predicted and actual 3-, 5- and 10-year OS and CSS rates of the nomogram. In the past 30 years, the incidence of UTUC has shown a general downward trend, and the prognostic nomogram we established can provide a personalized risk assessment for the survival of UTUC patients.
本研究旨在探讨上尿路上皮癌(UTUC)患者发病率的变化趋势,并建立基于重要临床因素的可靠实用列线图,以预测 UTUC 患者的总生存(OS)和癌症特异性生存(CSS)。我们使用监测、流行病学和最终结果(SEER)数据库提取了 1988 年至 2015 年间 UTUC 患者的数据。使用 Joinpoint 回归软件计算发病率,并用年度百分比变化(APC)量化趋势。使用 R 软件构建列线图,以预测个体患者的 OS 和 CSS 概率。1988 年至 2015 年,UTUC 的发病率呈下降趋势(1988 年:1.57/100,000 至 2015 年:1.51/100,000;APC=-0.1)。根据性别、年龄和原发部位进行分层后,我们发现男性、70 岁以上和肾盂 UTUC 的发病率高于女性、<70 岁和输尿管癌患者。在训练队列中,基于多变量 Cox 回归结果建立的列线图显示出更好的 OS 和 CSS 准确性(OS:C 指数=0.701,AUC=0.736;CSS:C 指数=0.729,AUC=0.688),优于 SEER 分期。此外,校准曲线显示,列线图预测的 3、5 和 10 年 OS 和 CSS 率与实际情况具有良好的一致性。在过去 30 年中,UTUC 的发病率呈总体下降趋势,我们建立的预后列线图可为 UTUC 患者的生存提供个性化风险评估。