Otiato Maxwell, Moghaddam Farshad Sheybaee, Ghoreifi Alireza, Autorino Riccardo, Bignante Gabriele, Sundaram Chandru, Sidhom Daniel, Derweesh Ithaar H, Puri Dhruv, Margulis Vitaly, Popokh Benjamin, Abdollah Firas, Stephens Alex, Ferro Matteo, Simone Giuseppe, Tuderti Gabriele, Mehrazin Reza, Eraky Ahmed, Gonzalgo Mark, Nativ Omar Falik, Wu Zhenjie, Porpiglia Francesco, Checcucci Enrico N, Correa Andres, Lee Randall, Antonelli Alessandro, Veccia Alessandro, Rais-Bahrami Soroush, Dehghanmanshadi Alireza, Singla Nirmish, Brönimann Stephan, Perdonà Sisto, Contieri Roberto, Yoshida Takashi, Porter James, Ghodoussipour Saum, Lambertini Luca, Minervini Andrea, Djaladat Hooman
Institute of Urology, University of Southern California, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA 90089, USA.
Department of Urology, Rush University, Chicago, IL 60612, USA.
Cancers (Basel). 2025 Jun 25;17(13):2144. doi: 10.3390/cancers17132144.
: The impact of adjuvant immunotherapy (IO) on the prognosis of patients with upper tract urothelial carcinoma (UTUC) remains unclear. This study examines the association of adjuvant IO with oncologic outcomes in patients with high-risk UTUC. : This retrospective study reviewed patients with high-risk UTUC treated with adjuvant IO using the ROBotic surgery for Upper tract Urothelial cancer STudy (ROBUUST) database. Propensity-score-matched analysis (nearest-neighbor algorithm, caliper 0.1) was conducted to compare patients receiving adjuvant IO versus those who did not, with matching based on pathologic T and N category and receipt of neoadjuvant chemotherapy. Associations between adjuvant IO and urothelial recurrence-free survival (URFS), non-urothelial recurrence-free survival (NRFS), and overall survival (OS) were estimated using a Cox proportional hazards model. : Seventy-five patients received adjuvant IO following nephroureterectomy (median four cycles, including eleven (14.7%) nivolumab, thirty-one (41.3%) pembrolizumab, four (5.3%) atezolizumab, and twenty-nine (38.6%) other agents. These patients were matched to 68 patients without adjuvant therapy. Median follow-up times were 17 (IQR, 10-29) months and 20 (9-44) months for IO and no adjuvant therapy, respectively. Multivariable analysis revealed that adjuvant IO was not associated with URFS, NRFS, or OS. Pathologic nodal involvement (HR 7.52, < 0.001) was the only independent predictor of worse OS. : In this real-world retrospective data set, adjuvant IO does not have an impact on oncologic outcomes of UTUC patients following extirpative surgery.
辅助免疫治疗(IO)对上尿路尿路上皮癌(UTUC)患者预后的影响尚不清楚。本研究探讨辅助IO与高危UTUC患者肿瘤学结局之间的关联。:这项回顾性研究使用上尿路尿路上皮癌机器人手术研究(ROBUUST)数据库,对接受辅助IO治疗的高危UTUC患者进行了回顾。进行倾向评分匹配分析(最近邻算法,卡尺0.1),以比较接受辅助IO治疗的患者与未接受辅助IO治疗的患者,匹配因素包括病理T和N分类以及新辅助化疗的接受情况。使用Cox比例风险模型估计辅助IO与无尿路上皮复发生存(URFS)、无非尿路上皮复发生存(NRFS)和总生存(OS)之间的关联。:75例患者在肾输尿管切除术后接受了辅助IO治疗(中位4个周期,包括11例(14.7%)纳武单抗、31例(41.3%)帕博利珠单抗、4例(5.3%)阿特珠单抗和29例(38.6%)其他药物)。这些患者与68例未接受辅助治疗的患者进行了匹配。IO组和未接受辅助治疗组的中位随访时间分别为17(IQR,10 - 29)个月和20(9 - 44)个月。多变量分析显示,辅助IO与URFS、NRFS或OS均无关联。病理淋巴结受累(HR 7.52,< 0.001)是OS较差的唯一独立预测因素。:在这个真实世界的回顾性数据集中,辅助IO对UTUC患者根治性手术后的肿瘤学结局没有影响。