Abstract
Background: The performance of a clinical pharmacogenetic model to predict nonresponse of methotrexate (MTX) monotherapy in patients with established rheumatoid arthritis (RA) and failure of disease-modifying antirheumatic drugs (DMARDs) was studied. Methods: For 75 RA patients receiving MTX monotherapy for 6 months, DNA and clinical data were available. Risk scores for nonresponse at 6 months (disease activity score >2.4), were calculated using the pharmacogenetic prediction model utilizing four clinical factors and four polymorphisms in the genes MTHFD1, AMPD1, ITPA and ATIC. Results: At 6 months, there were 25 responders and 50 nonresponders. Using the clinical pharmacogenetic prediction model, 75% (56 out of 75) were categorized into predicted responders (risk score ≤3.5) and predicted nonresponders (risk score ≥6). At 6 months, the negative predictive value was 81% (21 out of 26) and the positive predictive value was 47% (14 out of 30). Conclusion: The pharmacogenetic model predicts nonresponse to MTX monotherapy, but performs better in DMARD naive recent-onset RA patients than in patients with preceding DMARD failure.
Original submitted 17 February 2012; Revision submitted 10 May 2012
Financial & competing interests disclosure
TWJ Huizinga and HJ Guchelaar hold a patent for the methotrexate-responsive predictive model. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
No writing assistance was utilized in the production of this manuscript.
Ethical conduct of research
The authors state that they have obtained appropriate institutional review board approval or have followed the principles outlined in the Declaration of Helsinki for all human or animal experimental investigations. In addition, for investigations involving human subjects, informed consent has been obtained from the participants involved.