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Gene profiling predicts rheumatoid arthritis responsiveness to IL-1Ra (anakinra).
- Source :
-
Rheumatology (Oxford, England) [Rheumatology (Oxford)] 2011 Feb; Vol. 50 (2), pp. 283-92. Date of Electronic Publication: 2010 Nov 08. - Publication Year :
- 2011
-
Abstract
- 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.<br />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.<br />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.<br />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).
- Subjects :
- Adult
Aged
Arthritis, Rheumatoid genetics
Drug Therapy, Combination
Female
Humans
Male
Middle Aged
Treatment Outcome
Validation Studies as Topic
Antirheumatic Agents therapeutic use
Arthritis, Rheumatoid drug therapy
Gene Expression Profiling
Interleukin 1 Receptor Antagonist Protein administration & dosage
Methotrexate administration & dosage
Subjects
Details
- Language :
- English
- ISSN :
- 1462-0332
- Volume :
- 50
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Rheumatology (Oxford, England)
- Publication Type :
- Academic Journal
- Accession number :
- 21059672
- Full Text :
- https://doi.org/10.1093/rheumatology/keq344