Background Currently, are searching for biomarkers to predict response to biological therapies and select patients with better response to each of them.
Objectives To identify if rheumatoid factor (RF) is predictor of response to rituximab (RTX), abatacept (ABT), and tocilizumab (TCZ) in rheumatoid arthritis (RA).
Methods Systematic review and meta-analysis of clinical trials and observational studies based on a sensitive search. Meta-regression was used to explore causes of heterogeneity. Unpublished data of clinical trials provided by the authors were also included.
Results The electronic search captured 3221 references and 422 meeting abstracts. By hand search, four additional articles were also identified. A total of 23 studies meet the purpose of the study and were included in the review. RF positivity at starting predicts better ACR20 [OR, 1.95 (1.24, 3.08)], ACR50 [OR, 5.38 (2.50, 11.60)] and EULAR response [OR, 3.52 (1.66, 7.45)] in 14 studies with RTX (Figure 1), and better ACR20 [OR, 1.51 (1.21, 1.90)] in 6 studies with TC. In 3 studies with ABT, no association was found between response and RF [OR 1.36 (0.97, 1.90)]. No asymmetries in the funnel plots or significant variables were found in the meta-regression.
Conclusions In RA, RF positivity predicts better response to RTX and TCZ but not to ABT.
Disclosure of Interest J. R. Maneiro: None Declared, E. Salgado: None Declared, L. Carmona Speakers Bureau: L.C. has received lecture fees from Abbott and Pfizer, J. J. Gomez-Reino Grant/Research support from: JJ.G-R has received research grants from Roche and Schering-Plough, Consultant for: JJ.G-R is on the Advisory Boards of BMS, Pfizer, Roche, Schering-Plough and UCB SA, Speakers Bureau: JJ.G-R has received lecture fees from, BMS, Roche, Schering-Plough and Wyeth
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