Statistical methods for assessment of biosimilarity using biomarker data.

Published

Journal Article (Review)

The problem for assessing biosimilarity between biologic products is studied. For approval of follow-on biologic products, the U.S. Food and Drug Administration (FDA) indicated that the follow-on biologic products can be approved under an abbreviated new drug application (ANDA) if the innovator products are approved under a new drug application (NDA). However, for biologic products that are licensed under a BLA, there exists no abbreviated BLA in current Codes of Federal Regulations (CFR). In this case, draft guidance for assessment of biosimilarity is being prepared. As indicated in Chow and Liu (2008), the assessment of bioequivalence for drug products is performed under a so-called fundamental bioequivalence assumption, which uses pharmacokinetic responses as the surrogate endpoint for clinical endpoint for evaluation of the safety and efficacy of the drug products. Following a similar idea, in this article, statistical methods for assessment of biosimilarity between a follow-on biologic product and an innovator product are derived under a fundamental biosimilar assumption and a probability-based criterion for biosimilarity using biomarker data, assuming that the biomarker is predictive of the clinical outcome of the biologic product.

Full Text

Duke Authors

Cited Authors

  • Chow, S-C; Lu, Q; Tse, S-K; Chi, E

Published Date

  • January 2010

Published In

Volume / Issue

  • 20 / 1

Start / End Page

  • 90 - 105

PubMed ID

  • 20077251

Pubmed Central ID

  • 20077251

Electronic International Standard Serial Number (EISSN)

  • 1520-5711

Digital Object Identifier (DOI)

  • 10.1080/10543400903280373

Language

  • eng

Conference Location

  • England