Statistical Considerations in the Design of Biosimilar Cancer Clinical Trials.

IF 0.2 Q4 STATISTICS & PROBABILITY
Chul Ahn, Seung-Chun Lee
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引用次数: 5

Abstract

When the patent of an innovative (brand-name) small-molecule drug expires, generic copies of the innovative drug may be marketed if their therapeutic equivalence to the innovative drug has been shown. The small-molecule drugs are considered therapeutically equivalent and can be used interchangeably if two drugs are shown to be pharmaceutically equivalent with identical active substance and bioequivalent with comparable pharmacokinetics in a crossover clinical trial. However, the therapeutic equivalence paradigm cannot be applied to biosimilars since the active ingredients of biosimilars are huge molecules with complex and heterogeneous structures, and these molecules are difficult to replicate in every detail. The European Medicine Agency (EMEA) has introduced a regulatory biosimilar pathway which mandates clinical trials to show therapeutic equivalence. In this paper, we discuss statistical considerations in the design and analysis of biosimilar cancer clinical trials.

生物类似药癌症临床试验设计中的统计学考虑。
当一种创新(品牌)小分子药物的专利到期时,如果证明其治疗效果与创新药物相同,则该创新药物的仿制药可以上市销售。如果两种药物在交叉临床试验中显示具有相同活性物质的药学等效和具有可比药代动力学的生物等效,则小分子药物被认为是治疗等效的,并且可以互换使用。然而,治疗等效范式不能应用于生物仿制药,因为生物仿制药的有效成分是具有复杂和异质结构的大分子,这些分子很难在每个细节上复制。欧洲药品管理局(EMEA)引入了一种生物仿制药监管途径,要求临床试验显示治疗等效性。在本文中,我们讨论了在设计和分析生物类似药癌症临床试验中的统计考虑。
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
Korean Journal of Applied Statistics
Korean Journal of Applied Statistics STATISTICS & PROBABILITY-
自引率
50.00%
发文量
17
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