A Data Driven Approach to Support Tailored Clinical Programs for Biosimilar Monoclonal Antibodies

Abstract

Biosimilar monoclonal antibodies (mAbs) have been approved in the European Union since 2013 and have been demonstrated to reduce healthcare costs and to expand patient access. Biosimilarity is mainly established on the basis of demonstrated similarity of relevant quality attributes (QAs), determined by comprehensive physiochemical and functional analyses, and demonstration of bioequivalence. In addition, comparative efficacy/safety studies have been requested for all approved biosimilar mAbs so far, although the European Medicines Agency (EMA) Guidelines state that such confirmatory clinical trials may not be necessary in specific circumstances. In order to evaluate the degree of analytical similarity, how residual uncertainty regarding biosimilarity was resolved, and the value of clinical data, we analyzed the quality and clinical data packages for authorized adalimumab (7 products) and bevacizumab (5 products) biosimilars. The percentage of biosimilar batches meeting the similarity range for QAs, as defined by the biosimilar manufacturer based on a comprehensive characterization of the EU reference product (RP), was determined and clinical data were reviewed. Our analyses show that QAs of approved adalimumab and bevacizumab biosimilars have varying concordance with the EU-RP similarity range. In this study, we found that clinical efficacy data played a limited role in addressing quality concerns. Therefore, we encourage a regulatory review of the standards for clinical data requirements for mAb and fusion protein biosimilars. This study outlines a quality data driven approach for facilitating tailored clinical programs for biosimilars.