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篮式设计:肿瘤学试验的统计学考量

Basket Designs: Statistical Considerations for Oncology Trials.

作者信息

Kaizer Alexander M, Koopmeiners Joseph S, Kane Michael J, Roychoudhury Satrajit, Hong David S, Hobbs Brian P

机构信息

University of Colorado Anschutz Medical Campus, Aurora, CO.

University of Minnesota, Minneapolis, MN.

出版信息

JCO Precis Oncol. 2019 Dec;3:1-9. doi: 10.1200/PO.19.00194.

Abstract

Progress in the areas of genomics, disease pathways, and drug discovery has advanced into clinical and translational cancer research. The latest innovations in clinical trials have followed with master protocols, which are defined by inclusive eligibility criteria and devised to interrogate multiple therapies for a given tumor histology and/or multiple histologies for a given therapy under one protocol. The use of master protocols for oncology has become more common with the desire to improve the efficiency of clinical research and accelerate overall drug development. Basket trials have been devised to ascertain the extent to which a treatment strategy offers benefit to various patient subpopulations defined by a common molecular target. Conventionally conducted within the phase II setting, basket designs have become popular as drug developers seek to effectively evaluate and identify preliminary efficacy signals among clinical indications identified as promising in preclinical study. This article reviews basket trial designs in oncology settings and discusses several issues that arise with their design and analysis.

摘要

基因组学、疾病通路和药物发现领域的进展已推进到临床和转化癌症研究中。临床试验的最新创新采用了主方案,主方案由包容性入选标准定义,旨在在一个方案下针对给定的肿瘤组织学研究多种疗法和/或针对给定疗法研究多种组织学。随着提高临床研究效率和加速整体药物开发愿望的出现,肿瘤学中主方案的使用变得更加普遍。篮子试验旨在确定一种治疗策略对由共同分子靶点定义的各种患者亚群的受益程度。篮子设计通常在II期进行,随着药物开发者寻求在临床前研究中被认为有前景的临床适应症中有效评估并识别初步疗效信号,篮子设计变得流行起来。本文回顾了肿瘤学环境中的篮子试验设计,并讨论了其设计和分析中出现的几个问题。

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