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Gene profiling predicts rheumatoid arthritis responsiveness to IL-1Ra (anakinra)
Carine Bansard1, Thierry Lequerré, Céline Derambure
1Department of Rheumatology, University of Rouen, 76031 Rouen Cedex, France.
Objectives:
The overall non-response rate to biologics remains 30-40% for patients with RA resistant to MTX. The objective of this study was to predict responsiveness to the anakinra-MTX combination by peripheral blood mononuclear cell gene profiling in order to optimize treatment choice.
Methods:
Thirty-two patients treated with anakinra (100 mg/day s.c.) and MTX were categorized as responders when their 28-joint DAS (DAS-28) had decreased by ≥1.2 at 3 months. Pre-treatment blood samples had been drawn.
Results:
For seven responders and seven non-responders, 52 microarray-identified mRNAs were expressed as a function of the response to treatment, and unsupervised hierarchical clustering correctly separated responders from non-responders. The levels of seven of these 52 transcripts, as assessed by real-time, quantitative RT-PCR, were able to accurately classify 15 of 18 other patients (8 responders and 10 non-responders), with 87.5% specificity and 77.8% negative-predictive value for responders. Among the 52 genes, 56% were associated with IL-1β.
Conclusion:
This predictive gene expression profile was obtained with a non-invasive procedure. After further validation in other cohorts of patients, it could be proposed and used on a large scale to select likely RA responders to combined anakinra-MTX. Trial registration. Clinical Trials; NCT00213538 (http://www.clinicaltrials.gov).
Insights
Predicting rheumatoid arthritis treatment response is crucial. Gene profiling of peripheral blood mononuclear cells can identify patients likely to respond to anakinra and methotrexate combination therapy.
Area of Science:
- Rheumatology
- Molecular Biology
- Genetics
Background:
- Rheumatoid arthritis (RA) treatment with biologics has a significant non-response rate (30-40%) in methotrexate-resistant patients.
- Optimizing biologic selection is essential for improving patient outcomes.
Purpose of the Study:
- To predict responsiveness to the combination therapy of anakinra and methotrexate (MTX) using peripheral blood mononuclear cell gene profiling.
- To optimize treatment choices for RA patients who are resistant to MTX.
Main Methods:
- Thirty-two RA patients receiving anakinra (100 mg/day subcutaneously) and MTX were studied.
- Responders were defined as those with a decrease in Disease Activity Score-28 (DAS-28) of ≥1.2 at 3 months.
- Pre-treatment peripheral blood mononuclear cell gene expression profiling was performed using microarrays.
Main Results:
- A set of 52 differentially expressed mRNAs was identified, capable of separating responders from non-responders via hierarchical clustering.
- Quantitative RT-PCR validation of seven key transcripts accurately classified 15 of 18 additional patients (87.5% specificity, 77.8% negative-predictive value for responders).
- A significant portion (56%) of the identified genes were associated with Interleukin-1 beta (IL-1β).
Conclusions:
- A predictive gene expression profile for anakinra-MTX response was developed using a non-invasive method.
- This profile, after further validation, could be widely implemented for selecting RA patients likely to benefit from this combination therapy.
- The study provides a potential tool for personalized medicine in RA treatment.
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