Miyake Makito, Iida Kota, Nishimura Nobutaka, Inoue Takashi, Matsumoto Hiroaki, Matsuyama Hideyasu, Fujiwara Yuya, Komura Kazumasa, Inamoto Teruo, Azuma Haruhito, Yasumoto Hiroaki, Shiina Hiroaki, Yonemori Masaya, Enokida Hideki, Nakagawa Masayuki, Fukuhara Hideo, Inoue Keiji, Yoshida Takashi, Kinoshita Hidefumi, Matsuda Tadashi, Fujii Tomomi, Fujimoto Kiyohide
Department of Urology, Nara Medical University, Kashihara, Nara, Japan.
Institute for Clinical and Translational Science, Nara Medical University, Kashihara, Nara, Japan.
Eur Urol Open Sci. 2022 May 30;41:95-104. doi: 10.1016/j.euros.2022.05.004. eCollection 2022 Jul.
Site-specific postoperative risk models for localized upper tract urothelial carcinoma (UTUC) are unavailable.
To create specific risk models for renal pelvic urothelial carcinoma (RPUC) and ureteral urothelial carcinoma (UUC), and to compare the predictive accuracy with the overall UTUC risk model.
A multi-institutional database retrospective study of 1917 UTUC patients who underwent radical nephroureterectomy (RNU) between 2000 and 2018 was conducted.
A multivariate hazard model was used to identify the prognostic factors for extraurinary tract recurrence (EUTR), cancer-specific death (CSD), and intravesical recurrence (IVR) after RNU. Patients were stratified into low-, intermediate-, high-, and highest-risk groups. External validation was performed to estimate a concordance index of the created risk models. We investigated whether our risk models could aid decision-making regarding adjuvant chemotherapy (AC) after RNU.
The UTUC risk models could stratify the risk of cumulative incidence of three endpoints. The RPUC- and UUC-specific risk models showed better stratification than the overall UTUC risk model for all the three endpoints, EUTR, CSD, and IVR (RPUC: concordance index, 0.719 vs 0.770, 0.714 vs 0.794, and 0.538 vs 0.569, respectively; UUC: 0.716 vs 0.767, 0.766 vs 0.809, and 0.553 vs 0.594, respectively). The UUC-specific risk model can identify the high- and highest-risk patients likely to benefit from AC after RNU. A major limitation was the potential selection bias owing to the retrospective nature of this study.
We recommend using site-specific risk models instead of the overall UTUC risk model for better risk stratification and decision-making for AC after RNU.
Upper tract urothelial carcinoma comprises renal pelvic and ureteral carcinomas. We recommend using site-specific risk models instead of the overall upper tract urothelial carcinoma risk model in risk prediction and decision-making for adjuvant therapy after radical surgery.
目前尚无针对局限性上尿路尿路上皮癌(UTUC)的特定部位术后风险模型。
创建肾盂尿路上皮癌(RPUC)和输尿管尿路上皮癌(UUC)的特定风险模型,并将其预测准确性与整体UTUC风险模型进行比较。
设计、设置和参与者:对2000年至2018年间接受根治性肾输尿管切除术(RNU)的1917例UTUC患者进行了一项多机构数据库回顾性研究。
采用多变量风险模型确定RNU术后尿路外复发(EUTR)、癌症特异性死亡(CSD)和膀胱内复发(IVR)的预后因素。将患者分为低风险、中风险、高风险和最高风险组。进行外部验证以估计所创建风险模型的一致性指数。我们研究了我们的风险模型是否有助于RNU术后辅助化疗(AC)的决策。
UTUC风险模型可以对三个终点的累积发病率风险进行分层。RPUC和UUC特异性风险模型在所有三个终点(EUTR、CSD和IVR)上的分层效果均优于整体UTUC风险模型(RPUC:一致性指数分别为0.719对0.770、0.714对0.794、0.538对0.569;UUC:分别为0.716对0.767、0.766对0.809、0.553对0.594)。UUC特异性风险模型可以识别出RNU术后可能从AC中获益的高风险和最高风险患者。一个主要局限性是由于本研究的回顾性性质可能存在选择偏倚。
我们建议使用特定部位风险模型而非整体UTUC风险模型,以便在RNU术后进行更好的风险分层和AC决策。
上尿路尿路上皮癌包括肾盂癌和输尿管癌。我们建议在根治性手术后的辅助治疗风险预测和决策中使用特定部位风险模型,而非整体上尿路尿路上皮癌风险模型。