Clinical Medical Colleges, Weifang Medical University, Weifang, 261000, China.
Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, 261000, Shandong, China.
BMC Cancer. 2021 Sep 7;21(1):999. doi: 10.1186/s12885-021-08742-3.
There are differences in survival between high-and low-grade Upper Tract Urothelial Carcinoma (UTUC). Our study aimed to develop a nomogram to predict overall survival (OS) of patients with high- and low-grade UTUC after tumor resection, and to explore the difference between high- and low-grade patients.
Patients confirmed to have UTUC between 2004 and 2015 were selected from the Surveillance, Epidemiology and End Results (SEER) database. The UTUCs were identified and classified as high- and low-grade, and 1-, 3- and 5-year nomograms were established. The nomogram was then validated using the Chinese multicenter dataset (patients diagnosed in Shandong, China between January 2010 and October 2020).
In the high-grade UTUC patients, nine important factors related to survival after tumor resection were identified to construct nomogram. The C index of training dataset was 0.740 (95% confidence interval [CI]: 0.727-0.754), showing good calibration. The C index of internal validation dataset was 0.729(95% CI:0.707-0.750). On the other hand, Two independent predictors were identified to construct nomogram of low-grade UTUC. The C index was 0.714 (95% CI: 0.671-0.758) for the training set,0.731(95% CI:0.670-0.791) for the internal validation dataset. Encouragingly, the nomogram was clinically useful and had a good discriminative ability to identify patients at high risk.
We constructed a nomogram and a corresponding risk classification system predicting the OS of patients with an initial diagnosis of high-and low-grade UTUC.
高级别和低级别上尿路上皮癌(UTUC)的患者的生存存在差异。我们的研究旨在为高级别和低级别 UTUC 患者术后建立一个预测总生存(OS)的列线图,并探讨高级别和低级别患者之间的差异。
从监测、流行病学和最终结果(SEER)数据库中选择 2004 年至 2015 年间确诊为 UTUC 的患者。对 UTUC 进行识别和分级,并建立 1、3 和 5 年的列线图。然后使用中国多中心数据集(2010 年 1 月至 2020 年 10 月在中国山东诊断的患者)对列线图进行验证。
在高级别 UTUC 患者中,确定了 9 个与肿瘤切除后生存相关的重要因素来构建列线图。训练数据集的 C 指数为 0.740(95%置信区间[CI]:0.727-0.754),表明校准良好。内部验证数据集的 C 指数为 0.729(95%CI:0.707-0.750)。另一方面,确定了两个独立的预测因素来构建低级别 UTUC 的列线图。训练集的 C 指数为 0.714(95%CI:0.671-0.758),内部验证数据集的 C 指数为 0.731(95%CI:0.670-0.791)。令人鼓舞的是,该列线图具有临床应用价值,能够很好地区分高危患者。
我们构建了一个列线图和相应的风险分类系统,用于预测初诊高级别和低级别 UTUC 患者的 OS。