Translational Biomarkers and Ex Vivo Models of Joint Tissues as a Tool for Drug Development in Rheumatoid Arthritis

Cecilie F Kjelgaard-Petersen1,2, Adam Platt3, Martin Braddock4

  • 1Technical University of Denmark, Kongens Lyngby, Denmark.

Abstract

Insights

Translational biomarkers can predict rheumatoid arthritis (RA) drug efficacy early. Fostamatinib suppressed bone and cartilage turnover markers but not those linked to RA disease response, indicating potential for early development decisions.

Area of Science:

  • Rheumatology
  • Pharmacology
  • Biomarker Discovery

Background:

  • Rheumatoid arthritis (RA) is a debilitating autoimmune disease with unmet needs for effective treatments.
  • Current drug development for RA has a high failure rate, necessitating better early assessment tools.
  • Fostamatinib, a Syk inhibitor, previously failed to demonstrate sufficient efficacy in Phase III RA trials.

Purpose of the Study:

  • To evaluate if translational biomarkers could have predicted fostamatinib's efficacy in rheumatoid arthritis earlier.
  • To assess the impact of fostamatinib's active metabolite (R406) on specific matrix turnover biomarkers in vitro.

Main Methods:

  • Serum samples from 450 RA patients in the OSKIRA-1 Phase III trial were analyzed for collagen turnover biomarkers (CTX-I, C1M, C2M, C3M).
  • Biomarker levels were measured at baseline and follow-up.
  • In vitro studies assessed R406's effect on osteoclast, cartilage, and synovial membrane cultures.

Main Results:

  • Fostamatinib suppressed levels of CTX-I and C2M in patient serum and in osteoclast/cartilage cultures.
  • No suppression of C1M or C3M was observed in patient serum or synovial membrane cultures.
  • C1M and C3M are previously associated with RA disease response and drug efficacy.

Conclusions:

  • Translational biomarkers (CTX-I, C2M, C1M, C3M) show potential for early efficacy assessment in RA drug development.
  • The differential biomarker response suggests why fostamatinib may not have met efficacy endpoints.
  • This study highlights the value of biomarkers in guiding early decisions in RA drug development.

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