一个多臂两阶段 (MATS) 设计,用于在早期瘤学试验中进行概念验证和剂量优化
Zhenghao Jiang1, Gu Mi2, Ji Lin2
1Department of Statistics, University of Chicago, 5747 South Ellis Avenue, Chicago, IL 60637, United States of America.
Contemporary clinical trials
|July 7, 2023
概括
优步项目通过引入一种新的多臂两阶段 (MATS) 设计来推进瘤学药物开发. 这种方法优化了剂量选择,以便在早期癌症试验中更好地证明概念和疗效.
科学领域:
- 在瘤学瘤学.
- 临床试验设计 临床试验设计
- 生物统计学 生物统计学
背景情况:
- 传统的瘤学剂量检测研究经常确定单剂量 (MTD或RP2D).
- 这与利用综合剂量范围研究的其他治疗领域形成鲜明对比.
- 该项目旨在改革这些传统的剂量检测策略.
研究的目的:
- 提出一种新的多臂两阶段 (MATS) 设计,用于概念验证 (PoC) 和瘤学中的剂量优化.
- 为了能够在剂量升级框架内评估两个选定的剂量.
- 提高早期瘤学试验的效率和信息性.
主要方法:
- 在MATS设计中,在第一阶段的多个适应症中评估更高的剂量.
- 有前途的适应性适应性向第二阶段推进,用于较高和较低剂量的随机比较.
- 贝叶斯层次模型通过在剂量,指示和阶段之间汇集数据来促进统计推理.
主要成果:
- 模拟研究表明,拟议的MATS设计具有理想的性能特征.
- 该设计允许根据新出现的抗瘤活性进行适应性决策.
- 一个R Shiny应用程序可用于实际实施.
结论:
- MATS设计为瘤学中剂量优化和PoC提供了一个灵活而强大的框架.
- 它超越了单剂量选择,与最佳项目目标保持一致.
- 这种创新设计有可能提高早期瘤药物开发的效率.
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