Abstract
Rheumatoid arthritis is a complex systemic autoimmune disease that is characterized by chronic inflammatory polyarthritis, extra-articular features, and autoantibody formation. Although a targeted therapeutic approach using disease-modifying rheumatic drugs has markedly improved overall patient outcomes, there remain significant delays in accomplishing low disease activity in many patients. Reducing the numbers of patients needed for clinical trials is essential to the future of rheumatoid arthritis medical product development programs. Integration of biomarkers into clinical trials for rheumatoid arthritis may be helpful for early disease detection, patient stratification, and treatment response assessment. This goal has not yet been realized but can be achievable with good basic and applied research, systematic data collection, and data systems that can be used to integrate and share data. Herein, we explore what is currently known regarding biomarkers for rheumatoid arthritis and discuss issues to be addressed as biomarkers are sought for future development programs.
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Dennis, G.J., Fernandez, G., Iocca, H., Hilton, H. (2017). Biomarkers in Clinical Trials for Rheumatoid Arthritis. In: Mina-Osorio, P. (eds) Next-Generation Therapies and Technologies for Immune-Mediated Inflammatory Diseases. Progress in Inflammation Research. Springer, Cham. https://doi.org/10.1007/978-3-319-42252-7_2
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DOI: https://doi.org/10.1007/978-3-319-42252-7_2
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