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Record W4411394543 · doi:10.1016/j.ard.2025.06.020

POS0659 EFFICACY, SAFETY AND IMMUNOGENICITY OF THE PROPOSED TOCILIZUMAB BIOSIMILAR RGB-19, INTRAVENOUSLY ADMINISTERED TO PARTICIPANTS WITH ACTIVE RHEUMATOID ARTHRITIS: WEEK 24 DATA FROM A PHASE 3 STUDY

2025· article· en· W4411394543 on OpenAlexaff
Ernest Choy, P. Emery, Hiromasa Matsuno, Masato Okada, Z. Polgari, K. Horvát-Karajz, G. Dancer, Yukie Karibe, Shinobu Masuda, Jeffrey Kiefer, G. R. Burmester

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineBiosimilarTocilizumabImmunogenicityRheumatoid arthritisPharmacologyImmunologyInternal medicineAntibody

Abstract

fetched live from OpenAlex

Background: RGB-19, a proposed biosimilar to tocilizumab, is a monoclonal antibody that competitively inhibits the binding of interleukin-6 (IL-6) to its receptor. Objectives: To demonstrate the clinical equivalence in efficacy, and compare serum concentration, pharmacodynamics (PD), safety and immunogenicity, of RGB-19 and reference tocilizumab (hereafter tocilizumab) in participants with rheumatoid arthritis (RA). Methods: This was a Phase 3, randomised, double-blind study in Japanese adults with active RA and an inadequate response to methotrexate, a baseline Disease Activity Score based on 28 joints with erythrocyte sedimentation rate (DAS28-ESR) of ≥3.2, and swollen/tender joints (≥6 from 66/68). Participants were assigned 1:1 to intravenous (IV) infusions of RGB-19 8 mg/kg or IV tocilizumab 8 mg/kg every 4 weeks to W (week) 52 and followed to W54. Primary endpoint was DAS28-ESR mean change from baseline (CfB) at W12 (equivalence margin: ±0.6 for the 2-sided 95% confidence interval of the pooled difference between groups), complemented by secondary efficacy, serum concentration, PD, immunogenicity and safety endpoints to W24. Results: Overall, 368 participants were randomised. A total of 182 (RGB-19) and 185 (tocilizumab) participants were included in the primary analysis. Median age (range) was 57 (20–75) years; most were female (76%) with Class I/II RA (86%) and median time (range) since first RA diagnosis of 2.95 (0.2–46.3) years. Baseline characteristics were balanced between groups. The analysis of covariance (ANCOVA) of the primary endpoint results showed equivalence in efficacy between RGB-19 and tocilizumab at W12 (adjusted mean CfB in DAS28-ESR: RGB-19 −3.62, tocilizumab −3.41; difference point estimate: −0.21 [95% confidence interval −0.43, 0.02]; Table 1). This was supported by the results of a sensitivity (tipping point) analysis and secondary endpoint analyses, including similar ACR, EULAR, CDAI, and SDAI achievement/response rates at W24 (Table 1). Median serum drug concentration, absolute neutrophil count, C-reactive protein level, and soluble IL-6 receptor values were similar for both treatments up to W24. Safety profiles were similar between treatments up to W24 (Table 2) with no new safety signals identified. Both treatments had similarly low immunogenicity (anti-drug antibody positive participants: RGB-19 5 [2.7%]; tocilizumab 8 [4.3%]); there were no treatment-related adverse events leading to death in either arm. Conclusion: Equivalence in efficacy was shown between RGB-19 and tocilizumab. Serum drug concentration, PD, safety, and immunogenicity profiles were similar between treatments. Additional, longer-term efficacy, safety and immunogenicity outcomes up to W52 are anticipated. REFERENCES: NIL . Acknowledgements: Study funded by Gedeon Richter and Mochida Pharmaceutical. Medical writing support provided by Timothy Davies, PhD, of Avalere Health, funded by Gedeon Richter. Disclosure of Interests: Ernest Choy has received research grants, speaking fees, consultancies or honoraria from Abbvie, Bio-Cancer, Biocon, Biogen, Chugai Pharma, Eli Lilly, Fresenius Kai, Galapagos, Gedeon Richter, Gilead, Janssen, Pfizer, Sanofi, UCB and Viatris, Paul Emery has provided expert advice to Abbvie, Activa, Astra-Zeneca, BMS, Boehringer Ingelheim, Galapagos, Gilead, Immunovant, Janssen, Lilly, and Novartis, and contributed to clinical trials of Abbvie, BMS, Lilly, Novartis, and Samsung, Hiroaki Matsuno has received honoraria and/or lecture fees from Chugai Pharmaceutical, Daiichi Sankyo, and Eli Lilly, and has received consulting fees from Mochida Pharmaceutical, and Nichi-Iko Pharmaceutical, Masato Okada has received speaking fees and/or honoraria from Astellas, Eli Lilly and Company, GSK, and Janssen, Zsofia Polgari is a Gedeon Richter employee, Karoly Horvát-Karajz is a Gedeon Richter employee, Gordana Dancer is a Gedeon Richter employee, Yusuke Karibe is a Mochida Pharmaceutical employee, Suguru Masuda is a Mochida Pharmaceutical employee, Joachim Kiefer is a Gedeon Richter employee, Gerd R. Burmester has received honoraria for lectures and consulting from Celltrion, Chugai, Fresenius, Gedeon Richter, and Sanofi. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.093
GPT teacher head0.368
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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