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Rituximab versus tocilizumab in anti-TNF inadequate responder patients with rheumatoid arthritis (R4RA): 16-week
Frances Humby1, Patrick Durez2, Maya H Buch3
1Centre for Experimental Medicine and Rheumatology, Queen Mary University of London, London, UK; Department of Rheumatology, Mile End Hospital, Barts Health NHS Trust, London, UK.
Background:
Although targeted biological treatments have transformed the outlook for patients with rheumatoid arthritis, 40% of patients show poor clinical response, which is mechanistically still unexplained. Because more than 50% of patients with rheumatoid arthritis have low or absent CD20 B cells-the target for rituximab-in the main disease tissue (joint synovium), we hypothesised that, in these patients, the IL-6 receptor inhibitor tocilizumab would be more effective. The aim of this trial was to compare the effect of tocilizumab with rituximab in patients with rheumatoid arthritis who had an inadequate response to anti-tumour necrosis factor (TNF) stratified for synovial B-cell status.
Methods:
This study was a 48-week, biopsy-driven, multicentre, open-label, phase 4 randomised controlled trial (rituximab vs tocilizumab in anti-TNF inadequate responder patients with rheumatoid arthritis; R4RA) done in 19 centres across five European countries (the UK, Belgium, Italy, Portugal, and Spain). Patients aged 18 years or older who fulfilled the 2010 American College of Rheumatology and European League Against Rheumatism classification criteria for rheumatoid arthritis and were eligible for treatment with rituximab therapy according to UK National Institute for Health and Care Excellence guidelines were eligible for inclusion in the trial. To inform balanced stratification, following a baseline synovial biopsy, patients were classified histologically as B-cell poor or rich. Patients were then randomly assigned (1:1) centrally in block sizes of six and four to receive two 1000 mg rituximab infusions at an interval of 2 weeks (rituximab group) or 8 mg/kg tocilizumab infusions at 4-week intervals (tocilizumab group). To enhance the accuracy of the stratification of B-cell poor and B-cell rich patients, baseline synovial biopsies from all participants were subjected to RNA sequencing and reclassified by B-cell molecular signature. The study was powered to test the superiority of tocilizumab over rituximab in the B-cell poor population at 16 weeks. The primary endpoint was defined as a 50% improvement in Clinical Disease Activity Index (CDAI50%) from baseline. The trial is registered on the ISRCTN database, ISRCTN97443826, and EudraCT, 2012-002535-28.
Findings:
Between Feb 28, 2013, and Jan 17, 2019, 164 patients were classified histologically and were randomly assigned to the rituximab group (83 [51%]) or the tocilizumab group (81 [49%]). In patients histologically classified as B-cell poor, there was no statistically significant difference in CDAI50% between the rituximab group (17 [45%] of 38 patients) and the tocilizumab group (23 [56%] of 41 patients; difference 11% [95% CI -11 to 33], p=0·31). However, in the synovial biopsies classified as B-cell poor with RNA sequencing the tocilizumab group had a significantly higher response rate compared with the rituximab group for CDAI50% (rituximab group 12 [36%] of 33 patients vs tocilizumab group 20 [63%] of 32 patients; difference 26% [2 to 50], p=0·035). Occurrence of adverse events (rituximab group 76 [70%] of 108 patients vs tocilizumab group 94 [80%] of 117 patients; difference 10% [-1 to 21) and serious adverse events (rituximab group 8 [7%] of 108 vs tocilizumab group 12 [10%] of 117; difference 3% [-5 to 10]) were not significantly different between treatment groups.
Interpretation:
The results suggest that RNA sequencing-based stratification of rheumatoid arthritis synovial tissue showed stronger associations with clinical responses compared with histopathological classification. Additionally, for patients with low or absent B-cell lineage expression signature in synovial tissue tocilizumab is more effective than rituximab. Replication of the results and validation of the RNA sequencing-based classification in independent cohorts is required before making treatment recommendations for clinical practice.
Funding:
Efficacy and Mechanism Evaluation programme from the UK National Institute for Health Research.
Insights
Tocilizumab is more effective than rituximab for rheumatoid arthritis patients with low B-cell status in synovial tissue. RNA sequencing improved stratification, revealing tocilizumab
Area of Science:
- Rheumatology
- Immunology
- Genomics
Background:
- Rheumatoid arthritis (RA) treatments show variable response rates.
- Low B-cell levels in synovium may predict poor response to rituximab.
- Interleukin-6 (IL-6) receptor inhibition offers an alternative mechanism.
Purpose of the Study:
- Compare tocilizumab efficacy versus rituximab in anti-tumour necrosis factor (TNF) inadequate responders with RA.
- Stratify patients based on synovial B-cell status using histology and RNA sequencing.
- Investigate if IL-6 receptor blockade is superior in B-cell-poor RA patients.
Main Methods:
- A 48-week, multicentre, open-label, phase 4 randomised controlled trial (R4RA).
- Patients stratified by synovial biopsy into B-cell poor/rich groups.
- Random assignment to rituximab (1000 mg x2) or tocilizumab (8 mg/kg q4w).
- RNA sequencing refined B-cell stratification; primary endpoint was 50% improvement in Clinical Disease Activity Index (CDAI50%).
Main Results:
- Histological B-cell poor stratification showed no significant difference in CDAI50% between tocilizumab and rituximab (56% vs 45%).
- RNA sequencing-based B-cell poor stratification revealed significantly higher CDAI50% response with tocilizumab (63%) versus rituximab (36%).
- Adverse event rates were similar between the tocilizumab and rituximab groups.
Conclusions:
- RNA sequencing of synovial tissue offers superior stratification for predicting RA treatment response compared to histology.
- Tocilizumab demonstrates greater efficacy than rituximab in RA patients with a B-cell-poor synovial signature.
- Further validation in independent cohorts is needed before clinical implementation.
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