Oncology phase I trial design and conduct: time for a change - MDICT Guidelines 2022

医学 临床试验 临床终点 协议(科学) 随机化 卓越中心 肿瘤科 临床研究设计 临床研究阶段 医学物理学 内科学 替代医学 病理 政治学 法学
作者
Daniel Vilarim Araújo,Alastair Greystoke,SE Bates,A. Bayle,Emiliano Calvo,Luis Castelo‐Branco,Johann S. de Bono,Alexander Drilon,Elena Garralda,Percy Ivy,Olga Kholmanskikh,Ignacio Melero,George Pentheroudakis,James J. B. Petrie,Ruth Plummer,Santiago Ponce,S. Postel-Vinay,L.L. Siu,Anna Spreafico,Anastasios Stathis
出处
期刊:Annals of Oncology [Elsevier BV]
卷期号:34 (1): 48-60 被引量:72
标识
DOI:10.1016/j.annonc.2022.09.158
摘要

In 2021, the Food and Drug Administration Oncology Center of Excellence announced Project Optimus focusing on dose optimization for oncology drugs. The Methodology for the Development of Innovative Cancer Therapies (MDICT) Taskforce met to review and discuss the optimization of dosage for oncology trials and to develop a practical guide for oncology phase I trials. Defining a single recommended phase II dose based on toxicity may define doses that are neither the most effective nor the best tolerated. MDICT recommendations address the need for robust non-clinical data which are needed to inform trial design, as well as an expert team including statisticians and pharmacologists. The protocol must be flexible and adaptive, with clear definition of all endpoints. Health authorities should be consulted early and regularly. Strategies such as randomization, intrapatient dose escalation, and real-world eligibility criteria are encouraged whereas serial tumor sampling is discouraged in the absence of a strong rationale and appropriately validated assay. Endpoints should include consideration of all longitudinal toxicity. The phase I dose escalation trial should define the recommended dose range for later testing in randomized phase II trials, rather than a single recommended phase II dose, and consider scenarios where different populations may require different dosages. The adoption of these recommendations will improve dosage selection in early clinical trials of new anticancer treatments and ultimately, outcomes for patients.
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