Dose selection of novel anticancer drugs: exposing the gap between selected and required doses

选择(遗传算法) 药理学 毒理 化学 医学 计算机科学 生物 人工智能
作者
Catharina J P Op 't Hoog,Niven Mehra,Marc Maliepaard,K. Bol,Hans Gelderblom,Gabe S. Sonke,Adrianus J. de Langen,Niels W.C.J. van de Donk,Jeroen J.W.M. Janssen,Monique C. Minnema,Nielka P. van Erp,Emmy Boerrigter
出处
期刊:Lancet Oncology [Elsevier BV]
卷期号:25 (8): e340-e351 被引量:4
标识
DOI:10.1016/s1470-2045(24)00134-7
摘要

Historically, dose selection of anticancer drugs has mainly been based on establishing the maximum tolerated dose in phase 1 clinical trials with a traditional 3 plus 3 design. In the era of targeted therapies and immune-modulating agents, this approach does not necessarily lead to selection of the most favourable dose. This strategy can introduce potentially avoidable toxicity or inconvenience for patients. Multiple changes in drug development could lead to more rational dose selection, such as use of better predictive preclinical models, adaptive and randomised trial design, evaluation of multiple dose levels in late-phase development, assessment of target activity and saturation, and early biomarker use for efficacy and safety evaluation. In this Review, we evaluate the rationale and validation of dose selection in each phase of drug development for anticancer drugs approved by the European Medicines Agency and US Food and Drug Administration from Jan 1, 2020, to June 30, 2023, and give recommendations for dose optimisation to improve safety and patient convenience. In our evaluation, we classified 20 (65%) of the 31 recently registered anticancer agents as potential candidates for dose optimisation, which could be achieved either by reducing the dose (n=10 [32%]) or adjusting the dosage regimen (n=10 [32%]). Dose selection seemed to be adequately justified for nine (29%) of the drugs, whereas the reviewed data were inconclusive for formulating a recommendation on dose optimisation for two (6%) of the drugs.
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