Steffen Ventz, University of Rhode Island, Kingstown, RI; Brian M. Alexander, Giovanni Parmigiani, Richard D. Gelber, and Lorenzo Trippa, Dana-Farber Cancer Institute; Brian M. Alexander and Richard D. Gelber, Harvard Medical School; Giovanni Parmigiani, Richard D. Gelber, and Lorenzo Trippa, Harvard TH Chan School of Public Health; Richard D. Gelber, Frontier Science Foundation, Boston, MA.
J Clin Oncol. 2017 Sep 20;35(27):3160-3168. doi: 10.1200/JCO.2016.70.1169. Epub 2017 May 22.
Purpose The majority of randomized oncology trials are two-arm studies that test the efficacy of new therapies against a standard of care, thereby assigning a large proportion of patients to nonexperimental therapies. In contrast, multiarm studies efficiently share a common control arm while evaluating multiple experimental therapies. A major bottleneck for traditional multiarm trials is the requirement that all therapies-often drugs from different companies-have to be available at the same time when the trial starts. We evaluate the potential gains of a platform design-the rolling-arms design-that adds and removes arms on a rolling basis. Methods We define the rolling-arms design with the goal of minimizing the complexity of random assignment and data analyses of a platform trial. We then evaluate its potential advantages in hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer. Multiple pharmaceutical companies currently test CDK4/6 inhibitors in combination with letrozole in independent two-arm trials. We conducted a simulation study to quantify the reduction in sample size, number of patients treated with the standard of care, and the average time to treatment discovery if these therapies had been tested in a rolling-arms trial. Results A rolling-arms platform design with two to five experimental treatments can reduce the overall sample size requirement by up to 30% compared with standard two-arm studies. It assigns up to 60% fewer patients to the control arm compared with five independent trials that test distinct treatments. Moreover, under realistic scenarios, effective experimental treatments are discovered up to 15 months earlier compared with separate two-arm trials. Conclusion The rolling-arms platform design is applicable to a broad variety of diseases, and under realistic scenarios, it is substantially more efficient than standard two-arm randomized trials.
目的 大多数肿瘤学随机对照试验是双臂研究,旨在测试新疗法相对于标准治疗的疗效,从而将大量患者分配到非实验性治疗中。相比之下,多臂研究在评估多种实验性疗法的同时,有效地共享共同的对照臂。传统多臂试验的一个主要瓶颈是要求所有疗法——通常是来自不同公司的药物——在试验开始时同时可用。我们评估了一种平台设计——滚动臂设计——的潜在优势,该设计可以滚动地添加和删除臂。
方法 我们定义了滚动臂设计,目标是最小化平台试验随机分组和数据分析的复杂性。然后,我们评估了其在激素受体阳性、人表皮生长因子受体 2 阴性晚期乳腺癌中的潜在优势。目前,多家制药公司正在独立的双臂试验中测试 CDK4/6 抑制剂联合来曲唑。我们进行了一项模拟研究,以量化如果这些疗法在滚动臂试验中进行测试,可以减少样本量、接受标准治疗的患者数量以及治疗发现的平均时间。
结果 与标准的双臂研究相比,具有两个至五个实验性治疗的滚动臂平台设计可以将总体样本量要求减少多达 30%。与测试不同治疗的五个独立试验相比,它将多达 60%的患者分配到对照臂。此外,在现实情况下,与单独的双臂试验相比,有效的实验性治疗可以提前发现多达 15 个月。
结论 滚动臂平台设计适用于多种疾病,在现实情况下,其效率明显高于标准的双臂随机试验。