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在癌症 I 期临床试验中,使用所有毒性和时间相关毒性数据进行过度治疗控制的升级。

Escalation with overdose control using all toxicities and time to event toxicity data in cancer Phase I clinical trials.

机构信息

Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, United States; Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States.

ICF International, 3 Corporate Square, NE, Suite 370, Atlanta, GA 30329, United States.

出版信息

Contemp Clin Trials. 2014 Mar;37(2):322-32. doi: 10.1016/j.cct.2014.02.004. Epub 2014 Feb 12.

Abstract

The primary purposes of Phase I cancer clinical trials are to determine the maximum tolerated dose (MTD) and the treatment schedule of a new drug. Phase I trials usually involve a small number of patients so that fully utilizing all toxicity information including time to event toxicity data is key to improving the trial efficiency and the accuracy of MTD estimation. Chen et al. proposed a novel normalized equivalent toxicity score (NETS) system to fully utilize multiple toxicities per patient instead of a binary indicator of dose limiting toxicity (DLT). Cheung and Chappell developed the time to toxicity event (TITE) approach to incorporate time to toxicity event data. Escalation with overdose control (EWOC) is an adaptive Bayesian Phase I design which can allow rapid dose escalation while controlling the probability of overdosing patients. In this manuscript, we use EWOC as a framework and integrate it with the NETS system and the TITE approach to develop an advanced Phase I design entitled EWOC-NETS-TITE. We have conducted simulation studies to compare its operating characteristics using selected derived versions of EWOC because EWOC itself has already been extensively compared with common Phase I designs [3]. Simulation results demonstrate that EWOC-NETS-TITE can substantially improve the trial efficiency and accuracy of MTD determination as well as allow patients to be entered in a staggered fashion to significantly shorten trial duration. Moreover, user-friendly software for EWOC-NETS-TITE is under development.

摘要

I 期癌症临床试验的主要目的是确定新药的最大耐受剂量 (MTD) 和治疗方案。I 期试验通常涉及少量患者,因此充分利用包括时间事件毒性数据在内的所有毒性信息是提高试验效率和 MTD 估计准确性的关键。Chen 等人提出了一种新的归一化等效毒性评分 (NETS) 系统,以充分利用每个患者的多种毒性,而不是剂量限制毒性 (DLT) 的二进制指标。Cheung 和 Chappell 开发了毒性时间事件 (TITE) 方法来纳入毒性时间事件数据。超量控制的递增法 (EWOC) 是一种适应性贝叶斯 I 期设计,可在控制患者超量用药概率的同时允许快速剂量递增。在本文中,我们使用 EWOC 作为框架,将其与 NETS 系统和 TITE 方法相结合,开发了一种名为 EWOC-NETS-TITE 的先进 I 期设计。我们已经进行了模拟研究,比较了使用 EWOC 的选定推导版本的操作特性,因为 EWOC 本身已经与常见的 I 期设计进行了广泛比较[3]。模拟结果表明,EWOC-NETS-TITE 可以显著提高试验效率和 MTD 确定的准确性,并允许患者以交错的方式进入,从而显著缩短试验持续时间。此外,正在开发用于 EWOC-NETS-TITE 的用户友好型软件。

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