一种新型PCSK9反义寡核苷酸基于模型的药物开发案例研究。第二部分:第二阶段至第三阶段。

IF 3 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Jane Knöchel, Catarina Nilsson, Björn Carlsson, Alexis Hofherr, Per Johanson, Tina Rydén-Bergsten, Bengt Hamrén, Dinko Rekić
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引用次数: 0

摘要

在模型信息药物开发(MIDD)实际应用案例研究的第二部分,我们描述了AZD8233的临床开发,这是一种新型蛋白转化酶枯草杆菌素/酮素9型(PCSK9)反义寡核苷酸,从2b期到3期开始。该案例研究举例说明了使用MIDD来回答3期项目的关键设计问题,包括关键3期研究的设计、头对头研究的设计以及通过模型平均分析得出的心血管结果研究。广泛的3期研究模拟评估了退出、读出时间、剂量频率和分析方法对研究结果的影响。最终的3期设计假设每月退出率约为1%(基于其他PCSK9抑制剂试验),使用EMA/ fda批准的分析方法,并在第16周设置主要读数。一项模拟研究预测,每4周服用60毫克AZD8233,到第16周时,低密度脂蛋白胆固醇(LDL-C)降低-69%。一项虚拟面对面研究显示,在第270天,AZD8233比一种活跃的竞争对手(包括伊朗)降低了27%的LDL-C。根据模型选择,AZD8233在他汀类药物的基础上预测心血管相对风险降低(RRR)范围为24%至49%;模型平均方法预测,假设LDL-C从130 mg/dL基线降低63%,RRR为27%。本案例研究强调了跨职能协作和其他关键MIDD推动者的重要性,以确保MIDD超越简单的模拟练习,而是被视为致力于定量决策的药物开发的一个组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Case Study of Model-Informed Drug Development of a Novel PCSK9 Antisense Oligonucleotide. Part 2: Phase 2 to Phase 3.

In this second part of a case study on the practical use of model-informed drug development (MIDD), we describe the clinical development of AZD8233, a novel proprotein convertase subtilisin/kexin type 9 (PCSK9) antisense oligonucleotide, from phase 2b to the start of phase 3. The case study exemplifies the use of MIDD to answer key design questions for the phase 3 program, including the design of a pivotal phase 3 study, a head-to-head study, and a cardiovascular outcome study informed by model-averaging analysis. Extensive phase 3 study simulations assessed the impact of drop-out, readout timing, dose frequency, and analysis method on study outcomes. The final phase 3 design assumed around 1% monthly drop-out (based on other PCSK9 inhibitor trials), used an EMA/FDA-approved analysis method, and set the primary readout at week 16. A simulated study predicted a reduction in low-density lipoprotein cholesterol (LDL-C) by week 16 of -69% with AZD8233 60 mg every 4 weeks. A virtual head-to-head study showed AZD8233 lowered LDL-C by 27% more than an active competitor (inclisiran) at day 270. Predicted cardiovascular relative risk reduction (RRR) for AZD8233 on top of statins ranged from 24% to 49% based on model choice; a model-averaging approach predicted an RRR of 27% assuming 63% LDL-C reduction from a 130 mg/dL baseline. This case study highlights the importance of cross-functional collaboration and other key MIDD enablers to ensure that MIDD extends beyond a simple simulation exercise and is instead considered an integral part of drug development dedicated to quantitative decision making.

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来源期刊
CiteScore
5.00
自引率
11.40%
发文量
146
审稿时长
8 weeks
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