Using circulating tumor DNA as a novel biomarker of efficacy for dose-finding designs in oncology.

IF 1.6 3区 医学 Q3 HEALTH CARE SCIENCES & SERVICES
Xijin Chen, Pavel Mozgunov, Richard D Baird, Thomas Jaki
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引用次数: 0

Abstract

Dose-finding trials are designed to identify a safe and potentially effective drug dose and schedule during the early phase of clinical trials. Historically, Bayesian adaptive dose-escalation methods in Phase I trials in cancer have mainly focussed on toxicity endpoints rather than efficacy endpoints. This is partly because efficacy readouts are often not available soon enough for dose escalation decisions. In the last decade, 'liquid biopsy' technologies have been developed, which may provide a readout of treatment response much earlier than conventional endpoints. This paper develops a novel design that uses a biomarker, circulating tumour DNA (ctDNA), with toxicity and activity outcomes in dose-finding studies. We compare the proposed approach based on repeated ctDNA measurement with existing Bayesian adaptive approaches under various scenarios of dose-toxicity, dose-efficacy relationship, and trajectories of regular ctDNA values over time. Simulation results show that the proposed approach can yield significantly shorter trial duration and may improve identification of the target dose. In addition, this approach has the potential to minimise the time individual patients spend on potentially inactive trial therapies. Using two different dose-finding designs, we demonstrate that the way we incorporate biomarker information is broadly applicable across different dose-finding designs and yields notable benefit in both cases.

利用循环肿瘤DNA作为肿瘤剂量发现设计的新型生物标志物。
剂量发现试验的目的是在临床试验的早期阶段确定安全且可能有效的药物剂量和时间表。从历史上看,癌症I期试验中的贝叶斯自适应剂量递增方法主要关注毒性终点而不是疗效终点。这在一定程度上是因为药效数据往往无法及时获得,无法做出剂量递增的决定。在过去的十年中,“液体活检”技术得到了发展,它可以比传统的终点更早地提供治疗反应的读数。本文开发了一种新的设计,使用生物标志物,循环肿瘤DNA (ctDNA),在剂量研究中具有毒性和活性结果。我们将基于重复ctDNA测量的方法与现有的贝叶斯自适应方法在剂量-毒性、剂量-功效关系和常规ctDNA值随时间变化轨迹的各种情况下进行了比较。仿真结果表明,该方法可以显著缩短试验时间,提高靶剂量的识别能力。此外,这种方法有可能最大限度地减少单个患者花费在可能无效的试验疗法上的时间。通过使用两种不同的剂量发现设计,我们证明了我们整合生物标志物信息的方式广泛适用于不同的剂量发现设计,并在两种情况下产生显著的效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Statistical Methods in Medical Research
Statistical Methods in Medical Research 医学-数学与计算生物学
CiteScore
4.10
自引率
4.30%
发文量
127
审稿时长
>12 weeks
期刊介绍: Statistical Methods in Medical Research is a peer reviewed scholarly journal and is the leading vehicle for articles in all the main areas of medical statistics and an essential reference for all medical statisticians. This unique journal is devoted solely to statistics and medicine and aims to keep professionals abreast of the many powerful statistical techniques now available to the medical profession. This journal is a member of the Committee on Publication Ethics (COPE)
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