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Clinical equivalence with G-CSF biosimilars: methodologic approach in a (neo)adjuvant setting in non-metastatic breast cancer

机译:G-CSF生物仿制药的临床等效性:非转移性乳腺癌(新)辅助治疗中的方法学方法

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摘要

Biosimilars are biological medicines that have been shown to be similar to a reference biological medicine that has already been approved for use. Development of biosimilars is based on a “totality of evidence” approach that involves a series of steps by which biosimilars must demonstrate similarity to a reference product in all aspects of the drug and eliminate any remaining uncertainties. Clinical studies are then considered confirmatory and are performed to show that there are no clinically meaningful differences compared with the reference product in a sensitive patient population. The recombinant human granulocyte colony-stimulating factor (G-CSF) biosimilar EP2006/Zarxio® (filgrastim-sdnz) became the first FDA-approved biosimilar in 2015. This review evaluates how clinical equivalence can be demonstrated with G-CSF biosimilars through the identification of “sensitive” study populations and endpoints. Patients with non-metastatic breast cancer treated in the (neo)adjuvant setting represent a potentially homogenous population, making this a suitable sensitive indication for assessing filgrastim and pegfilgrastim biosimilars compared with reference products. This review includes clinical trials of G-CSF biosimilars in breast cancer, focusing on key aspects of the trials that were necessary to accurately demonstrate clinical equivalence and enable extrapolation to relevant indications, based on guidelines and biostatistical principles.
机译:生物仿制药是已证明与已经批准使用的参考生物药物相似的生物药物。生物仿制药的开发基于“证据总数”方法,该方法涉及一系列步骤,通过这些步骤,生物仿制药必须在药物的所有方面证明与参考产品的相似性,并消除任何剩余的不确定性。然后认为临床研究具有验证性,并进行了研究,结果表明在敏感患者群体中与参考产品相比,没有临床上有意义的差异。重组人粒细胞集落刺激因子(G-CSF)生物仿制药EP2006 /Zarxio®(filgrastim-sdnz)在2015年成为FDA批准的首个生物仿制药。该评价评估了如何通过鉴定可证明G-CSF生物仿制药具有临床等效性“敏感的”研究人群和终点。在(新)辅助治疗中治疗的非转移性乳腺癌患者代表潜在的同质人群,这使其成为与参考产品相比用于评估非格司亭和聚乙二醇非格司亭生物类似药的合适敏感性指标。这篇综述包括针对乳腺癌的G-CSF生物仿制药的临床试验,重点是根据指南和生物统计学原理准确证明临床等效性并能够推断相关适应症所必需的试验关键方面。

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