Cancer Prevention Trials Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
Current addresses: Exploristics Ltd, Belfast, UK.
BMC Cancer. 2019 Jun 26;19(1):632. doi: 10.1186/s12885-019-5801-3.
A key challenge in phase I trials is maintaining rapid escalation in order to avoid exposing too many patients to sub-therapeutic doses, while preserving safety by limiting the frequency of toxic events. Traditional rule-based designs require temporarily stopping recruitment whilst waiting to see whether enrolled patients develop toxicity. This can be both inefficient and introduces logistic challenges to recruitment in the clinic. We describe a novel two-stage dose assignment procedure designed for a phase I clinical trial (STARPAC), where a good estimation of prior was possible.
The STARPAC design uses rule-based design until the first patient has a dose limiting toxicity (DLT) and then switches to a modified CRM, with rules to handle patient recruitment during follow-up of earlier patients. STARPAC design is compared via simulations with the TITE-CRM and 3 + 3 methods in various toxicity estimate (T1-5), rate of recruitment (R1-2), and DLT events timing (DT1-4), scenarios using several metrics: accuracy of maximum tolerated dose (MTD), numbers of DLTs, number of patients enrolled and those missed; duration of trial; and proportion of patients treated at the therapeutic dose or MTD.
The simulations suggest that STARPAC design performed well in MTD estimation and in treating patients at the highest possible therapeutic levels. STARPAC and TITE-CRM were comparable in the number of patients required and DLTs incurred. The 3 + 3 design often had fewer patients and DLTs although this is due to its low escalation rate leading to poor MTD estimation. For the numbers of declined patients and MTD estimation 3 + 3 is uniformly worse, with STARPAC being better in those metrics for high toxicity scenarios and TITE-CRM better with low toxicity. In situations including doses with toxicities both above and below 30%, the STARPAC design outperformed TITE-CRM with respect to every metric.
When considering doses with toxicities both above and below the target of 30% toxicities, the two-stage STARPAC dose escalation design provides a more efficient phase I trial design than either the traditional 3 + 3 or the TITE-CRM design. Trialists should model various designs via simulation to adopt the most efficient design for their clinical scenario.
Clinical Trials NCT03307148 (11 October 2017).
在 I 期临床试验中,一个关键的挑战是保持快速递增,以避免将太多患者暴露于亚治疗剂量下,同时通过限制毒性事件的频率来保证安全性。传统的基于规则的设计要求在等待观察入组患者是否发生毒性时暂时停止招募,这既低效又给临床招募带来了后勤挑战。我们描述了一种新的两阶段剂量分配程序,用于 I 期临床试验(STARPAC),在该试验中可以对先验进行很好的估计。
STARPAC 设计在第一个患者出现剂量限制毒性(DLT)之前使用基于规则的设计,然后切换到修改后的 CRM,其中有规则来处理早期患者随访期间的患者招募。通过模拟,在各种毒性估计(T1-5)、招募率(R1-2)和 DLT 事件时间(DT1-4)下,将 STARPAC 设计与 TITE-CRM 和 3+3 方法进行比较,使用多个指标评估:最大耐受剂量(MTD)的准确性、DLT 数量、入组患者数量和错过患者数量;试验持续时间;以及在治疗剂量或 MTD 下治疗的患者比例。
模拟结果表明,STARPAC 设计在 MTD 估计和治疗最高可能治疗水平的患者方面表现良好。STARPAC 和 TITE-CRM 在所需患者数量和 DLT 发生率方面相当。3+3 设计虽然由于递增率低导致 MTD 估计不佳,因此通常患者和 DLT 较少。对于拒绝患者的数量和 MTD 估计,3+3 设计始终较差,而 STARPAC 在高毒性情况下在这些指标上表现更好,TITE-CRM 在低毒性情况下表现更好。在包括毒性高于和低于 30%的剂量的情况下,STARPAC 设计在每个指标上均优于 TITE-CRM。
当考虑毒性高于和低于 30%目标毒性的剂量时,两阶段 STARPAC 剂量递增设计比传统的 3+3 或 TITE-CRM 设计提供了更有效的 I 期临床试验设计。试验人员应通过模拟对各种设计进行建模,以采用最适合其临床情况的最有效设计。
NCT03307148(2017 年 10 月 11 日)。