Zhang Xi, Chen Weikang, Li Chunming, Wan Xiaojie, Xu Peifeng, Zhang Tao
Department of Gynecology, Zhejiang University School of Medicine Women's Hospital, Hangzhou, China.
Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, China.
Transl Cancer Res. 2024 Aug 31;13(8):4131-4145. doi: 10.21037/tcr-24-515. Epub 2024 Aug 12.
With improving prognosis in upper-tract urothelial carcinoma (UTUC), an increasing number of second primary malignancies (SPMs) are being identified. However, there is limited research on SPMs following UTUC. This study aims to evaluate the risk of SPMs in UTUC patients and create a nomogram to predict their survival rates.
Utilizing data from the Surveillance, Epidemiology, and End Results (SEER) database, we assessed the risk of SPMs among UTUC patients. Additionally, we developed and validated an overall survival (OS) nomogram for SPM patients post-UTUC diagnosis.
The prevalence of SPMs among UTUC patients was 30.23%, with solid tumors being the most prevalent type of second malignancy, constituting 95.30% of all SPMs. The overall risk of SPMs was significantly elevated across all subgroups. Univariate and multivariate Cox regression analyses identified age, race, gender, UTUC SEER historic stage, surgery, SPM site, histologic type, grade, and SEER historic stage as independent prognostic factors for SPM OS. Subsequently, we developed a nomogram for predicting SPM OS. The C-index for the training and validation sets were 0.72 [95% confidence interval (CI): 0.70-0.74] and 0.71 (95% CI: 0.67-0.75), respectively. The area under the curve (AUC) demonstrated good performance of our model in predicting the 3-year (0.73 and 0.737) and 5-year (0.723 and 0.733) OS of SPMs in both sets.
This study represents the first comprehensive analysis of SPM incidence in UTUC patients and introduces a nomogram for predicting SPM prognosis.
随着上尿路尿路上皮癌(UTUC)预后的改善,越来越多的第二原发性恶性肿瘤(SPM)被发现。然而,关于UTUC后SPM的研究有限。本研究旨在评估UTUC患者发生SPM的风险,并创建一个列线图来预测其生存率。
利用监测、流行病学和最终结果(SEER)数据库的数据,我们评估了UTUC患者中SPM的风险。此外,我们开发并验证了UTUC诊断后SPM患者的总生存(OS)列线图。
UTUC患者中SPM的患病率为30.23%,实体瘤是第二恶性肿瘤中最常见的类型,占所有SPM的95.30%。所有亚组中SPM的总体风险均显著升高。单因素和多因素Cox回归分析确定年龄、种族、性别、UTUC的SEER历史分期、手术、SPM部位、组织学类型、分级和SEER历史分期为SPM OS的独立预后因素。随后,我们开发了一个预测SPM OS的列线图。训练集和验证集的C指数分别为0.72[95%置信区间(CI):0.70-0.74]和0.71(95%CI:0.67-0.75)。曲线下面积(AUC)表明我们的模型在预测两组中SPM的3年(0.73和0.737)和5年(0.723和0.733)OS方面表现良好。
本研究首次对UTUC患者的SPM发病率进行了全面分析,并引入了一个预测SPM预后的列线图。