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Combination of B cell biomarkers as independent predictors of response in patients with rheumatoid arthritis treated with rituximab
H.-P. Tony1, P. Roll2, H.E. Mei3, E. Blümner4, A. Straka5, L. Gnuegge6, T. Dörner7
- Department of Rheumatology and Immunology, University of Würzburg, Germany. tony_h@medizin.uni-wuerzburg.de
- Department of Rheumatology and Immunology, University of Würzburg, Germany.
- Hospital for Rheumatology and Clinical Immunology Berlin, and DRFZ, Berlin, Germany.
- Ecron Acunova GmbH, Frankfurt, Germany.
- Ecron Acunova GmbH, Frankfurt, Germany.
- Roche Pharma AG, Grenzach-Wyhlen, Germany.
- Hospital for Rheumatology and Clinical Immunology Berlin, and DRFZ, Berlin, Germany.
on behalf of the FIRST/ ReFIRST study teams
CER8117
2015 Vol.33, N°6
PI 0887, PF 0894
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PMID: 26517829 [PubMed]
Received: 14/11/2014
Accepted : 27/07/2015
In Press: 30/10/2015
Published: 15/12/2015
Abstract
OBJECTIVES:
Identification of B cell biomarkers predictive of response prior to therapy with rituximab (RTX) and evaluation of the efficacy of long-term treatment in patients with rheumatoid arthritis (RA).
METHODS:
302 RA patients failing one TNFi were treated with two applications of 1000 mg RTX (FIRST study). During the follow-up study (ReFIRST) the patients were treated for up to three more courses if they showed measurable clinical response but RA was still active. In a substudy on 154 RA patients peripheral B cell subsets were determined by flow cytometry before starting RTX. Rheumatoid factor (RF), RF-isotypes and anti-citrullinated protein antibodies (ACPA) were also measured.
RESULTS:
Based on multivariate analyses patients with positive RF and normal (>lower limit) levels of CD19+ B cells (RF+/CD19+) showed better treatment effects compared to patients who had only one or none of those parameters. Considering the RF status of the patients, analysis of B cell subpopulations yielded a correlation between higher ER rates and “double negative” CD19+CD27-IgD- B cells. Lowest ER rates were observed for RF negative patients in combination with low numbers of CD19+CD27-IgD- B cells as independent risk factors, thus defining a group with lower responses. Conversely, higher CD19+CD27-IgD- B cells identified a responder group within RF negative patients.
CONCLUSIONS:
The data of this large biomarker study suggest that beyond RF positivity, normal levels of CD19+ B cells together with increased CD19+CD27-IgD- B cells predict response to RTX in RA, in particular when all parameters were present.