Dose Optimization in Oncology Drug Development: Risk Factors for Postmarketing Requirements and Commitments.

IF 6.3 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Hiroe Kitagaki, Kentaro Takeda, Kazuya Murai, Hideki Maeda
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Abstract

Optimal dosing of oncological drugs is historically determined based on the "higher is better" paradigm. However, a paradigm shift in optimal dose selection has occurred in the development of new modalities, including molecularly targeted drugs, antibody drugs, and immunotherapies. In 2021, Project Optimus was launched by the Food and Drug Administration Oncology Center of Excellence to reform the dose optimization and dose selection paradigm in oncology drug development. In August 2024, "Optimizing the Dosage of Human Prescription Drugs and Biological Products for the Treatment of Oncologic Diseases" was published, encouraging randomized evaluation of the benefit/risk profile of a range of doses before initiating a registration trial. Although Project Optimus offers general guidance on dose optimization, it does not specify which early clinical data requires a more cautious approach to dose optimization. This is the first comprehensive study to investigate newly approved oncology drugs by the FDA over a long period and to identify the risk factors for postmarketing requirement or commitment to dose optimization, using logistic regression analysis. Our findings show that when the labeled dose is the maximum tolerated dose, the percentage of adverse reactions leading to treatment discontinuation is increased, and an exposure-safety relationship is established, the risk for postmarketing requirement or commitment to dose optimization is increased. Our study will provide actionable, data-driven insights into dose optimization strategies by objectively and quantitatively evaluating risk factors. These findings will serve as valuable guidance for designing more effective early-phase trials, complementing the FDA Project Optimus guidance.

肿瘤药物开发中的剂量优化:上市后要求和承诺的风险因素。
肿瘤药物的最佳剂量历来是根据“越高越好”的模式确定的。然而,随着新模式的发展,包括分子靶向药物、抗体药物和免疫疗法,最佳剂量选择的范式发生了转变。2021年,美国食品和药物管理局肿瘤卓越中心启动了Optimus项目,以改革肿瘤药物开发中的剂量优化和剂量选择范式。2024年8月,《用于治疗肿瘤疾病的人用处方药和生物制品的剂量优化》发表,鼓励在启动注册试验之前对一系列剂量的获益/风险进行随机评估。虽然Optimus项目提供了剂量优化的一般指导,但它并没有具体说明哪些早期临床数据需要更谨慎的剂量优化方法。这是首个对FDA新批准的肿瘤药物进行长期调查的综合研究,并使用logistic回归分析确定上市后要求或剂量优化承诺的风险因素。我们的研究结果表明,当标签剂量是最大耐受剂量时,导致停药的不良反应百分比增加,并且建立了暴露-安全关系,上市后要求或承诺剂量优化的风险增加。我们的研究将通过客观和定量地评估风险因素,为剂量优化策略提供可操作的、数据驱动的见解。这些发现将为设计更有效的早期试验提供有价值的指导,补充FDA的Optimus项目指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
12.70
自引率
7.50%
发文量
290
审稿时长
2 months
期刊介绍: Clinical Pharmacology & Therapeutics (CPT) is the authoritative cross-disciplinary journal in experimental and clinical medicine devoted to publishing advances in the nature, action, efficacy, and evaluation of therapeutics. CPT welcomes original Articles in the emerging areas of translational, predictive and personalized medicine; new therapeutic modalities including gene and cell therapies; pharmacogenomics, proteomics and metabolomics; bioinformation and applied systems biology complementing areas of pharmacokinetics and pharmacodynamics, human investigation and clinical trials, pharmacovigilence, pharmacoepidemiology, pharmacometrics, and population pharmacology.
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