Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania.
Cancer. 2014 Apr 15;120(8):1272-80. doi: 10.1002/cncr.28544. Epub 2014 Jan 3.
Clinical trials of radiation after radical cystectomy (RC) and chemotherapy for bladder cancer are in development, but inclusion and stratification factors have not been clearly established. In this study, the authors evaluated and refined a published risk stratification for locoregional failure (LF) by applying it to a multicenter patient cohort.
The original stratification, which was developed using a single-institution series, produced 3 subgroups with significantly different LF risk based on pathologic tumor (pT) classification and the number of lymph nodes identified. This model was then applied to patients in Southwest Oncology Group (SWOG) 8710, a randomized trial of RC with or without chemotherapy. LF was defined as any pelvic failure before or within 3 months of distant failure.
Patients in the development cohort and the SWOG cohort had significantly different baseline characteristics. The original risk model was not fully validated in the SWOG cohort, because lymph node yield was not as strongly associated with LF as in the development cohort. Regression analysis indicated that margin status could improve the model. A revised stratification using pT classification, margin status, and the number of lymph nodes identified produced 3 subgroups with significantly different LF risk in both cohorts: low risk (≤pT2), intermediate risk (≥pT3 with negative margins AND ≥10 lymph nodes identified), and high risk (≥pT3 with positive margins OR <10 lymph nodes identified) with 5-year LF rates of 8%, 20%, and 41%, respectively, in the SWOG cohort and 8%, 19%, and 41%, respectively, in the development cohort.
A model incorporating pT classification, margin status, and the number of lymph nodes identified stratified LF risk in 2 different RC populations and may inform the design of future trials.
根治性膀胱切除术(RC)后联合放化疗治疗膀胱癌的临床试验正在进行中,但纳入和分层因素尚未明确。本研究应用该模型对多中心患者队列进行评估和优化,以验证和细化先前发表的局部区域失败(LF)风险分层。
该分层模型最初是基于单机构系列研究开发的,根据病理肿瘤(pT)分类和识别的淋巴结数量,将患者分为 3 个亚组,其 LF 风险显著不同。然后,该模型被应用于西南肿瘤协作组(SWOG)8710 随机 RC 加或不加化疗的临床试验中。LF 定义为远处失败前或 3 个月内的任何盆部失败。
发展队列和 SWOG 队列的患者基线特征有显著差异。由于在 SWOG 队列中,淋巴结检出量与 LF 的相关性不如发展队列中强,因此原始风险模型在 SWOG 队列中并未完全得到验证。回归分析表明,切缘状态可改善模型。使用 pT 分类、切缘状态和识别的淋巴结数量对模型进行修正后,在两个队列中均产生了 3 个 LF 风险显著不同的亚组:低危组(≤pT2)、中危组(≥pT3 且切缘阴性 AND ≥10 个淋巴结检出)和高危组(≥pT3 且切缘阳性或<10 个淋巴结检出),SWOG 队列的 5 年 LF 率分别为 8%、20%和 41%,发展队列的 5 年 LF 率分别为 8%、19%和 41%。
纳入 pT 分类、切缘状态和淋巴结检出数量的模型在 2 个不同的 RC 人群中分层 LF 风险,可能为未来的临床试验提供参考。