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A novel Phase I/IIa design for early phase oncology studies and its application in the evaluation of MK-0752 in pancreatic cancer

机译:一种用于早期肿瘤学研究的新颖I / IIa期设计及其在胰腺癌MK-0752评估中的应用

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摘要

The Cancer Research UK study CR0720-11 is a trial to determine the tolerability and effect on survival of using two agents in combination in patients with advanced pancreatic cancer. In particular, the trial is designed first to identify the most suitable combination of doses of the two agents in terms of the incidence of dose-limiting toxicities. Then, the survival of all patients who have received that dose combination in the study so far, together with additional patients assigned to that dose combination to ensure that the total number is sufficient, will be analysed. If the survival outcomes show promise, then a definitive randomised study of that dose combination will be recommended. The first two patients in the trial will be treated with the lowest doses of each agent in combination. An adaptive Bayesian procedure based only on monotonicity constraints concerning the risks of toxicity at different dose levels will then be used to suggest dose combinations for subsequent patients. The survival analysis will concern only patients who received the chosen dose combination, and will compare observed mortality with that expected from an exponential model based on the known survival rates associated with current treatment. In this paper, the Bayesian dose-finding procedure is described and illustrated, and its properties are evaluated through simulation. Computation of the appropriate sample size for the survival investigation is also discussed.
机译:UK Cancer Research UK研究CR0720-11是一项试验,用于确定晚期胰腺癌患者中两种药物联合使用的耐受性和对生存的影响。特别是,该试验首先设计为根据剂量限制性毒性的发生率确定两种药物剂量的最合适组合。然后,将分析迄今为止在研究中已接受该剂量组合的所有患者以及分配给该剂量组合以确保总数足够的其他患者的生存率。如果生存结果显示出希望,则将建议对该剂量组合进行明确的随机研究。试验中的前两名患者将以每种药物的最低剂量联合治疗。然后,仅基于单调性约束条件的适应性贝叶斯方法,该约束性条件涉及不同剂量水平下的毒性风险,以建议后续患者的剂量组合。生存分析将仅涉及接受所选剂量组合的患者,并将根据与当前治​​疗相关的已知生存率,将观察到的死亡率与指数模型的预期死亡率进行比较。在本文中,对贝叶斯剂量寻找过程进行了描述和说明,并通过仿真对其性能进行了评估。还讨论了用于生存调查的适当样本量的计算。

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