Chen Kai, Chen Ting-Yu, Zhang Yiming, Lin Ruitao, Yuan Ying
Department of Biostatistics and Data Science, The University of Texas Health Science Center, Houston, Texas.
Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Clin Cancer Res. 2025 Jul 1;31(13):2573-2580. doi: 10.1158/1078-0432.CCR-24-3669.
Conducting phase I trials is particularly challenging when dealing with late-onset dose-limiting toxicity (DLT) or when patient accrual is rapid relative to the DLT assessment window. In such cases, a new cohort may be ready for enrollment before the DLT assessments are complete for the current cohort, complicating dose assignment decisions. The time-to-event Bayesian optimal interval (TITE-BOIN) design was developed to address this issue by enabling real-time dose assignment for new cohorts, even when some enrolled patients' DLT data are still pending. This design has been increasingly adopted in practice. Upon reviewing trial protocols utilizing TITE-BOIN, we observed considerable variation in dosing decision criteria, ranging from no requirements to requiring that at least two thirds of enrolled patients' DLT data should be available before enrolling the next cohort. This raises a critical question: How can safety comparable with the fully staggered design be ensured? This article addresses this question by evaluating how the percentage of pending patients and the duration of their follow-up affect the operating characteristics of the TITE-BOIN design. Based on these evaluations, we generally recommend suspending accrual to allow for longer safety follow-up if fewer than 51% of patients at the current dose have their DLT data ascertained or if TITE-BOIN recommends dose escalation and the shortest follow-up time for pending patients at the current dose is less than 25% of the DLT assessment window. The rules should be further calibrated to suit specific trial considerations. Equipped with these rules, TITE-BOIN achieves similar accuracy in identifying the MTD and comparable safety to the fully staggered approach while substantially reducing trial duration and increasing patient access by enabling real-time dose decisions when some patients' DLT data are still pending.
在处理迟发性剂量限制毒性(DLT)时,或者当患者入组速度相对于DLT评估窗口较快时,进行I期试验尤其具有挑战性。在这种情况下,当前队列的DLT评估尚未完成时,新的队列可能就已准备好入组,这使得剂量分配决策变得复杂。为了解决这个问题,开发了事件时间贝叶斯最优区间(TITE - BOIN)设计,即使一些入组患者的DLT数据仍未确定,也能为新队列进行实时剂量分配。这种设计在实践中越来越多地被采用。在审查使用TITE - BOIN的试验方案时,我们观察到给药决策标准存在很大差异,从无要求到要求在下一个队列入组前至少三分之二的入组患者的DLT数据可用。这就引出了一个关键问题:如何确保与完全交错设计相当的安全性?本文通过评估未决患者的百分比及其随访持续时间如何影响TITE - BOIN设计的操作特征来解决这个问题。基于这些评估,我们通常建议,如果当前剂量组中确定DLT数据的患者少于51%,或者如果TITE - BOIN建议剂量递增且当前剂量组未决患者的最短随访时间小于DLT评估窗口的25%,则暂停入组以进行更长时间的安全性随访。这些规则应进一步校准以适应特定的试验考虑因素。有了这些规则,TITE - BOIN在识别最大耐受剂量(MTD)方面具有相似的准确性,并且与完全交错方法具有相当的安全性,同时通过在一些患者的DLT数据仍未确定时启用实时剂量决策,大幅缩短了试验持续时间并增加了患者入组机会。