Morita Satoshi, Thall Peter F, Takeda Kentaro
Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Department of Biostatistics, The University of Texas, M. D. Anderson Cancer Center, Houston, TX, USA.
Pharm Stat. 2017 Mar;16(2):143-156. doi: 10.1002/pst.1797. Epub 2017 Jan 23.
Patient heterogeneity may complicate dose-finding in phase 1 clinical trials if the dose-toxicity curves differ between subgroups. Conducting separate trials within subgroups may lead to infeasibly small sample sizes in subgroups having low prevalence. Alternatively,it is not obvious how to conduct a single trial while accounting for heterogeneity. To address this problem,we consider a generalization of the continual reassessment method on the basis of a hierarchical Bayesian dose-toxicity model that borrows strength between subgroups under the assumption that the subgroups are exchangeable. We evaluate a design using this model that includes subgroup-specific dose selection and safety rules. A simulation study is presented that includes comparison of this method to 3 alternative approaches,on the basis of nonhierarchical models,that make different types of assumptions about within-subgroup dose-toxicity curves. The simulations show that the hierarchical model-based method is recommended in settings where the dose-toxicity curves are exchangeable between subgroups. We present practical guidelines for application and provide computer programs for trial simulation and conduct.
如果各亚组之间的剂量-毒性曲线不同,患者异质性可能会使1期临床试验中的剂量探索变得复杂。在亚组内进行单独试验可能会导致患病率较低的亚组样本量小到不可行。另外,在考虑异质性的同时如何进行单一试验并不明确。为了解决这个问题,我们在分层贝叶斯剂量-毒性模型的基础上考虑连续重新评估方法的推广,该模型在亚组可交换的假设下在亚组之间借用强度。我们评估了一个使用该模型的设计,该设计包括亚组特异性剂量选择和安全规则。给出了一项模拟研究,该研究将此方法与基于非分层模型的3种替代方法进行了比较,这些替代方法对亚组内剂量-毒性曲线做出了不同类型的假设。模拟结果表明,在亚组之间剂量-毒性曲线可交换的情况下,推荐基于分层模型的方法。我们给出了应用的实用指南,并提供了用于试验模拟和实施的计算机程序。