Clinical Pharmacology, Early Clinical Development, Pfizer Inc., 10777 Science Center Drive, San Diego, CA, 92121, USA.
Cancer Chemother Pharmacol. 2022 Sep;90(3):207-216. doi: 10.1007/s00280-022-04444-0. Epub 2022 Aug 14.
There has been increasing attention to dose optimization in the development of targeted oncology therapeutics. The current report has analyzed the dose selection approaches for 116 new molecular entities (NMEs) approved for oncology indications by the US FDA from 2010 to August 2021, with the goal to extract learnings about the ways to select the optimal dose. The analysis showed that: (1) the initial label dose was lower than the maximum tolerated dose (MTD) or maximum studied dose (MSD) in Phase 1 for the majority of approved NMEs, and that the MTD approach is no longer the mainstay for dose selection; (2) there was no dose ranging or optimization beyond Phase 1 dose escalation for ~ 80% of the NMEs; (3) integrated dose/exposure-response analyses were commonly used to justify the dose selection; (4) lack of dose optimization led to dose-related PMRs/PMCs in 14% of cases, but 82% of these did not result in change of the initial label dose; and (5) depending on properties of the NME and specific benefit/risk considerations for the target patient population, there could be different dose selection paradigms leading to identification of the appropriate clinical dose. The analysis supports the need to incorporate more robust dose optimization during oncology clinical development, through comparative assessment of benefit/risk of multiple dose levels, over a wide exposure range using therapeutically relevant endpoints and adequate sample size. On the other hand, in certain cases, data from FIP dose escalation may be adequate to support the dose selection.
在肿瘤学治疗药物的开发中,人们越来越关注剂量优化。本报告分析了 2010 年至 2021 年 8 月期间美国 FDA 批准的用于肿瘤适应证的 116 种新型分子实体(NME)的剂量选择方法,旨在从中获取有关选择最佳剂量的方法的经验。分析表明:(1)对于大多数批准的 NME,初始标签剂量低于 I 期的最大耐受剂量(MTD)或最大研究剂量(MSD),MTD 方法不再是剂量选择的主要依据;(2)在 80%左右的 NME 中,没有超出 I 期剂量递增的剂量范围或优化;(3)综合剂量/暴露-反应分析常用于证明剂量选择的合理性;(4)缺乏剂量优化导致 14%的情况下出现与剂量相关的 PMRs/PMCs,但其中 82%并未导致初始标签剂量的改变;(5)根据 NME 的特性和目标患者人群的特定获益/风险考虑,可能存在不同的剂量选择模式,从而确定合适的临床剂量。分析支持在肿瘤学临床开发中需要更加强化的剂量优化,通过对多个剂量水平的获益/风险进行比较评估,在广泛的暴露范围内使用治疗相关终点和足够的样本量。另一方面,在某些情况下,基于 FIP 剂量递增的研究数据可能足以支持剂量选择。