Gene expression analysis in RA: towards personalized medicine

A. N. Burska, K. Roget, M. Blits, L. Soto Gomez, F. van de Loo, L. D. Hazelwood, C. L. Verweij, A. Rowe, G. N. Goulielmos, L. G. M. van Baarsen, F. Ponchel

Research output: Contribution to journalReview articleAcademicpeer-review

56 Citations (Scopus)


Gene expression has recently been at the forefront of advance in personalized medicine, notably in the field of cancer and transplantation, providing a rational for a similar approach in rheumatoid arthritis (RA). RA is a prototypic inflammatory autoimmune disease with a poorly understood etiopathogenesis. Inflammation is the main feature of RA; however, many biological processes are involved at different stages of the disease. Gene expression signatures offer management tools to meet the current needs for personalization of RA patients' care. This review analyses currently available information with respect to RA diagnostic, prognostic and prediction of response to therapy with a view to highlight the abundance of data, whose comparison is often inconclusive due to the mixed use of material source, experimental methodologies and analysis tools, reinforcing the need for harmonization if gene expression signatures are to become a useful clinical tool in personalized medicine for RA patients
Original languageEnglish
Pages (from-to)93-106
Journalpharmacogenomics journal
Issue number2
Publication statusPublished - 2014

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