Shi Yun, Yin Guosheng
Department of Statistics and Actuarial Science, The University of Hong Kong, Pokfulam Road, Hong Kong.
Stat Med. 2013 Nov 10;32(25):4400-12. doi: 10.1002/sim.5832. Epub 2013 Apr 30.
Dose finding for combined drugs has grown rapidly in oncology drug development. The escalation with overdose control (EWOC) method is a popular model-based dose-finding approach to single-agent phase I clinical trials. When two drugs are combined as a treatment, we propose a two-dimensional EWOC design for dose finding on the basis of a four-parameter logistic regression model. During trial conduct, we continuously update the posterior distribution of the maximum tolerated dose (MTD) combination to find the most appropriate dose combination for each cohort of patients. The probability that the next assigned dose combination exceeds the MTD combination can be controlled by a feasibility bound, which is based on a prespecified quantile level of the MTD distribution such as to reduce the possibility of overdosing. We determine dose escalation, de-escalation, or staying at the same doses by searching the MTD combination along the rows and columns in a two-drug combination matrix, respectively. We conduct simulation studies to examine the performance of the two-dimensional EWOC design under various practical scenarios, and illustrate it with a trial example.
在肿瘤药物研发中,联合用药的剂量探索发展迅速。剂量递增并控制过量(EWOC)方法是一种常用于单药I期临床试验的基于模型的剂量探索方法。当两种药物联合使用时,我们基于四参数逻辑回归模型提出一种二维EWOC设计用于剂量探索。在试验过程中,我们不断更新最大耐受剂量(MTD)组合的后验分布,为每组患者找到最合适的剂量组合。下一个分配的剂量组合超过MTD组合的概率可通过一个可行性界限来控制,该界限基于MTD分布的预先指定分位数水平,以降低过量用药的可能性。我们分别通过在两药组合矩阵中沿行和列搜索MTD组合来确定剂量递增、递减或维持相同剂量。我们进行模拟研究以检验二维EWOC设计在各种实际场景下的性能,并通过一个试验实例进行说明。