Zhao Yi, Chang Yu-Wei, Chow Shein-Chung
a Department of Biostatistics and Bioinformatics , Duke University School of Medicine , Durham , North Carolina , USA.
b Biostatistics and Data Science, Boehringer-Ingelheim Corporation , Ridgefield , Connecticut , USA.
J Biopharm Stat. 2018;28(6):1143-1159. doi: 10.1080/10543406.2018.1437171. Epub 2018 Mar 7.
For approval of biosimilar products, the U.S. Food and Drug Administration (FDA) recommends a stepwise approach for obtaining the totality-of-the-evidence for assessing biosimilarirty between a proposed biosimilar product and its corresponding innovative (reference) biologic product. The stepwise approach starts with the assessment of analytical similarity of critical quality attributes (CQAs) for structural/physicochemical and functional properties in the manufacturing process of biosimilar products. For Tier 1 CQAs which are most relevant to clinical outcomes, the FDA recommends an equivalence test be performed for similarity assessment based on an equivalence acceptance criterion (EAC). While performing the equivalence test, sample size is a critical component of the equivalence test. This article focuses on the discussion of the FDA's proposal: select an appropriate sample size by adjusting EAC margin and variability ([Formula: see text]). The article provides a thorough discussion on the FDA's proposal; sample size requirement under different scenarios are briefly described and a numerical study which compares sample size requirement under various combinations of study parameters is conducted.
对于生物类似药产品的批准,美国食品药品监督管理局(FDA)建议采用一种逐步的方法来获取全面证据,以评估拟议的生物类似药产品与其相应的创新(参照)生物制品之间的生物相似性。该逐步方法始于评估生物类似药产品制造过程中关键质量属性(CQAs)在结构/物理化学和功能特性方面的分析相似性。对于与临床结果最相关的一级CQAs,FDA建议基于等效性接受标准(EAC)进行等效性测试以进行相似性评估。在进行等效性测试时,样本量是等效性测试的关键组成部分。本文重点讨论FDA的提议:通过调整EAC界限和变异性([公式:见原文])来选择合适的样本量。本文对FDA的提议进行了深入讨论;简要描述了不同情况下的样本量要求,并进行了一项数值研究,比较了各种研究参数组合下的样本量要求。