Sabin Tony, Matcham James, Bray Sarah, Copas Andrew, Parmar Mahesh K B
Tony Sabin, Amgen Ltd., Cambridge Science Park, Cambridge, UK (E-mail:
James Matcham, AstraZeneca Ltd., Alderley Park, Macclesfield, UK (E-mail:
Stat Biopharm Res. 2014 Jan;6(1):67-77. doi: 10.1080/19466315.2013.852617. Epub 2014 Feb 1.
The objectives of the phase 2 stage in a drug development program are to evaluate the safety and tolerability of different doses, select a promising dose range, and look for early signs of activity. At the end of phase 2, a decision to initiate phase 3 studies is made that involves the commitment of considerable resources. This multifactorial decision, generally made by balancing the current condition of a development organization's portfolio, the future cost of development, the competitive landscape, and the expected safety and efficacy benefits of a new therapy, needs to be a good one. In this article, we present a practical quantitative process that has been implemented for drugs entering phase 2 at Amgen Ltd. to ensure a consistent and explicit evidence-based approach is used to contribute to decisions for new drug candidates. Broadly following this process will also help statisticians increase their strategic influence in drug development programs. The process is illustrated using an example from the pancreatic cancer indication. Embedded within the process is a predominantly Bayesian approach to predicting the probability of efficacy success in a future (frequentist) phase 3 program.
药物研发项目第二阶段的目标是评估不同剂量的安全性和耐受性,选择有前景的剂量范围,并寻找早期活性迹象。在第二阶段结束时,要做出启动第三阶段研究的决定,这涉及到大量资源的投入。这个多因素决策通常是通过权衡开发组织产品线的当前状况、未来开发成本、竞争格局以及新疗法预期的安全性和有效性益处来做出的,而且必须是一个明智的决策。在本文中,我们介绍了一种实际的定量方法,该方法已在安进公司应用于进入第二阶段的药物,以确保采用一致且明确的循证方法来辅助新药候选药物的决策。大致遵循这个过程也将有助于统计学家在药物研发项目中增强其战略影响力。该过程通过一个胰腺癌适应症的例子进行说明。该过程中主要采用贝叶斯方法来预测未来(频率论)第三阶段项目中疗效成功的概率。