Consider Alternate Interchangeability Methods: Study
Researchers from Pfizer and several universities say that sponsors should consider alternative approaches to statistical analysis that could meet FDA expectations for demonstrating the interchangeability of biosimilars. Writing in the open-access journal BioDrugs, the researchers say it is challenging to conduct clinical studies to support an FDA designation of interchangeability as defined in an agency guidance.
“Clinical studies that support interchangeability should be designed primarily to evaluate if clinical performance is altered by multiple switching between a reference product and its biosimilar and whether such switching will result in differences in pharmacokinetics or immunogenicity profiles,” the paper says.
The authors say the legal requirement to demonstrate interchangeability exists even though from a clinical perspective the risk associated with switching between a biologic reference product and its biosimilar is improbable. “The potential for changes in immunogenicity, such as heightened or altered immunogenic response, as a consequence of switching between a reference product and its biosimilar is not supported by evidence,” the authors say.
They note that using pharmacokinetic parameters as primary endpoints for clinical interchangeability studies to support an interchangeability designation of biosimilars creates new challenges.
“Interchangeability should be assessed on a case-by-case basis, considering the totality of the evidence and biologic plausibility,” the article concludes. “Alternative approaches to statistical analysis (e.g., use of asymmetric rather than symmetric margins to test equivalence) and study designs that meet FDA’s expectations for demonstration of interchangeability should be considered.”