Yap Timothy A, Bullock Julie, Chong Susan, Doyle Megan K, Hussain Azher, Kline Jackie, Manon Amandine, Venkatakrishnan Karthik, Upreti Vijay V
The University of Texas MD Anderson Cancer Center, Houston, Texas.
Certara, Inc., Durham, North Carolina.
Clin Cancer Res. 2024 Dec 2;30(23):5237-5241. doi: 10.1158/1078-0432.CCR-24-1836.
The Project Optimus initiative from the FDA introduced a new dose optimization and selection paradigm in oncology drug development. The FDA has outlined approaches to dose optimization for single agents, but multiple oncology drugs are being developed for use in combination with other therapies. Dose optimization in the context of combination drug development is complex and requires a case-by-case approach. It necessitates commitment to the totality of available evidence, leveraging all relevant data on mechanism of action, nonclinical and clinical pharmacology, safety, and principles of model-informed drug development. In this article, we outline key considerations for sponsors and investigators pursuing dose optimization with combinatorial regimens. We illustrate important strategies for dose optimization in the combination setting using a range of hypothetical case examples that represent typical drug development scenarios. Close discussions and collaboration with regulators regarding the optimal approaches to these scenarios will continue to be critical.
美国食品药品监督管理局(FDA)的“擎天柱计划”在肿瘤药物研发中引入了一种新的剂量优化与选择模式。FDA已经概述了单药剂量优化的方法,但目前正在研发多种肿瘤药物用于与其他疗法联合使用。联合药物研发背景下的剂量优化很复杂,需要逐案处理。这需要致力于综合现有证据,利用关于作用机制、非临床和临床药理学、安全性以及模型指导药物研发原则的所有相关数据。在本文中,我们概述了使用联合方案进行剂量优化的申办方和研究者的关键考虑因素。我们使用一系列代表典型药物研发场景的假设案例,阐述联合用药时剂量优化的重要策略。就这些场景的最佳方法与监管机构进行密切讨论与合作仍将至关重要。