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Analytical Similarity Assessment in Biosimilar Studies.
Chow, Shein-Chung; Song, Fuyu; Bai, He.
Afiliación
  • Chow SC; School of Medicine, Duke University, 2424 Erwin Road, Hock Suite 1102, Room 11068, Durham, North Carolina, 27705, USA. sheinchung.chow@duke.edu.
  • Song F; Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, China.
  • Bai H; Department of Drug and Cosmetics Registration, China Food and Drug Administration, Beijing, China.
AAPS J ; 18(3): 670-7, 2016 05.
Article en En | MEDLINE | ID: mdl-26873509
ABSTRACT
For assessment of biosimilarity, the US Food and Drug Administration (FDA) recommends a stepwise approach for obtaining the totality-of-the-evidence for demonstrating biosimilarity between a proposed biosimilar product and an innovative (reference) biological product. The stepwise approach starts with analytical studies for functional and structural characterization at various stages of manufacturing process of the proposed biosimilar product. Analytical similarity assessment involves identification of critical quality attributes (CQAs) that are relevant to clinical outcomes. FDA proposes first classifying the identified CQAs into three tiers according to their criticality or risking ranking relevant to clinical outcomes and then performing equivalence test (for CQAs in Tier 1), quality range approach (for CQAs in Tier 2), and raw data or graphical presentation (for CQAs in Tier 3) for obtaining totality-of-the-evidence for demonstrating biosimilarity between the proposed biosimilar product with the reference product. In practice, some debatable issues are evitably raised due to this complicated process of analytical similarity assessment. In this article, these debatable are described and discussed.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biosimilares Farmacéuticos Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biosimilares Farmacéuticos Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Año: 2016 Tipo del documento: Article