Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Department of Urology, Graduate School of Medicine, Yamaguchi University, Ube, Yamaguchi, 755-8505, Japan.
Int J Clin Oncol. 2020 Jul;25(7):1364-1376. doi: 10.1007/s10147-020-01654-5. Epub 2020 Mar 30.
The aim of this study is to establish new risk tables for the current clinical setting, enabling short- and long-term risk stratification for recurrence, progression, and cancer-specific death after transurethral resection in non-muscle invasive bladder cancer (NMIBC). Currently available risk tables lack input from the 2004 World Health Organization grading system and risk prediction for cancer-specific death.
This was a multi-institutional database study of 1490 patients diagnosed with NMIBC (the development cohort). A multivariate Fine and Gray subdistribution hazard model was used to assess the prognostic impact of various factors. Patients were classified into low-, intermediate-, and high-risk groups according to a sum of the weight of selected factors, and predicted cumulative rates were calculated. Internal validation was conducted using 200 bootstrap resamples to assess the optimism for the c-index and estimate a bias-corrected c-index. External validation of the developed risk table was performed on an independent dataset of 91 patients.
The Japanese NIshinihon uro-onCology Extensive collaboration group (J-NICE) risk stratification table was derived from six, five, and two factors for recurrence, progression, and cancer-specific death, respectively. The internal validation bias-corrected c-index values were 0.619, 0.621, and 0.705, respectively. The application of the J-NICE table to an external dataset resulted in c-indices for recurrence, progression, and cancer-specific death of 0.527, 0.691, and 0.603, respectively.
We propose a novel risk stratification model that predicts outcomes of treated NMIBC and may overcome the shortcomings of existing risk models. Further external validation is required to strengthen its clinical impact.
本研究旨在为当前临床环境建立新的风险表,以便对非肌层浸润性膀胱癌(NMIBC)经尿道切除术后的复发、进展和癌症特异性死亡进行短期和长期风险分层。目前可用的风险表缺乏 2004 年世界卫生组织分级系统的输入以及癌症特异性死亡的风险预测。
这是一项多机构数据库研究,纳入了 1490 名诊断为 NMIBC 的患者(发展队列)。采用多变量 Fine 和 Gray 亚分布风险模型评估各种因素的预后影响。根据选定因素的权重总和将患者分为低危、中危和高危组,并计算预测的累积率。通过 200 次 bootstrap 重采样进行内部验证,以评估 c 指数的乐观程度并估计偏置校正的 c 指数。对开发的风险表进行外部验证,纳入了 91 名患者的独立数据集。
日本 Nishinihon 泌尿肿瘤广泛协作组(J-NICE)风险分层表分别来源于复发、进展和癌症特异性死亡的 6、5 和 2 个因素。内部验证的偏置校正 c 指数值分别为 0.619、0.621 和 0.705。J-NICE 表在外部数据集的应用导致复发、进展和癌症特异性死亡的 c 指数分别为 0.527、0.691 和 0.603。
我们提出了一种新的风险分层模型,可预测治疗后的 NMIBC 结局,并可能克服现有风险模型的不足。需要进一步的外部验证来增强其临床影响。