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Record W4411412222 · doi:10.1016/j.ard.2025.05.029

OP0006 OBINUTUZUMAB DEMONSTRATES CONSISTENT BENEFIT ACROSS NUMEROUS PRIMARY ENDPOINT DEFINITIONS USING REGENCY STUDY RESULTS OF PATIENTS WITH ACTIVE LUPUS NEPHRITIS

2025· article· en· W4411412222 on OpenAlexaff
B.H. Rovin, William F. Pendergraft, Liz Lightstone, Z. Amoura, R. Furie, Iftekhar Hassan, Byung Woo Yoo, Edésio Martins, Amneet K. Hans, Theodore A. Omachi, Thomas Schindler, Jay Garg, J. Henes, Ana Malvar

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsRoche (Canada)
Fundersnot available
KeywordsMedicineObinutuzumabLupus nephritisClinical endpointSystemic lupus erythematosusImmunologyInternal medicineClinical trialRituximabLymphomaDisease

Abstract

fetched live from OpenAlex

Background: Lupus nephritis (LN) is the most common, severe, organ-threatening manifestation of systemic lupus erythematosus (SLE). Improvement or stabilisation of kidney function and improvement of proteinuria, key goals in clinical practice, are commonly included in the composite primary endpoint definitions of complete response in recent LN clinical studies. Nevertheless, as there is no standardised definition of complete response, studies utilise different surrogates of kidney function and set different cut-off values for each of the individual components of the complete response definition. The Phase III REGENCY study (NCT04221477) demonstrated superiority of obinutuzumab over placebo in achieving complete renal response (CRR) at Week 76 when added to standard therapy in patients with active LN. Objectives: To evaluate the effect of obinutuzumab plus standard therapy (mycophenolate mofetil plus glucocorticoids) versus placebo and standard therapy across different renal response definitions used in recent pivotal studies. Methods: REGENCY primary and other pre-specified renal response endpoints, as well as BLISS-LN and AURORA-1 primary or secondary renal endpoint definitions, were used for this post hoc analysis using the REGENCY dataset at Week 76. Endpoint measures were defined according to those listed in Table 1. Analyses were performed in the intention-to-treat population. The proportions of patients achieving CRR in the two groups were compared using a Cochran–Mantel–Haenszel test with region and race as stratification factors with multiple imputation for missing data. All patients met the American College of Rheumatology classification criteria for SLE and had biopsy-proven active LN. Results: In the obinutuzumab (n=135) plus standard therapy and placebo plus standard therapy groups (n=136), respectively, 46.4% and 33.1% of patients achieved CRR at Week 76 (adjusted difference 13.4%, 95% CI, 2.0 to 24.8%; P =0.0232). The proportions of patients at Week 76 achieving i) a modified BLISS-LN primary efficacy renal response were 51.8% and 39.7% (adjusted difference: 12.1%, 95% CI, 0.5 to 23.8%; P =0.0432); ii) a modified BLISS-LN CRR were 48.7% and 33.1% (adjusted difference: 15.7%, 95% CI, 4.3 to 27.2%; P =0.0084); iii) a modified AURORA-1 CRR were 48.7% and 33.8% (adjusted difference: 15.0%, 95% CI, 3.6 to 26.5%; P =0.0117) (Table 2). Additional modified REGENCY CRR definitions were analysed and summarised in Table 2. Conclusion: Obinutuzumab plus standard therapy was significantly superior to placebo plus standard therapy across different renal response definitions at Week 76. Consistent benefit was observed, irrespective of the outcome measure composition as well as the stringency of the individual outcome thresholds. Whilst cross-trial comparisons are challenging, a robust treatment benefit of obinutuzumab plus standard therapy appears to be maintained when applying the modified primary and secondary endpoint definitions from the BLISS-LN and AURORA-1 studies. Furthermore, the effect size of the benefit of obinutuzumab over placebo at Week 76 was consistent (between 13% and 16%) using all of the different definitions of response. REFERENCES: NIL . Acknowledgements: Funded by F. Hoffmann-La Roche Ltd. Editorial assistance was provided by Nucleus Global, an Inizio company, and funded by F. Hoffmann-La Roche Ltd. Disclosure of Interests: Brad H. Rovin received consulting fees F. Hoffmann-La Roche Ltd/Genentech, Inc., William F. Pendergraft III shareholder of F. Hoffmann-La Roche Ltd, employee of Genentech, Inc., Liz Lightstone received consulting fees Alexion, AstraZeneca, F. Hoffmann-La Roche Ltd, GlaxoSmithKline, Kezar, Novartis, Otsuka and Pfizer, Zahir Amoura received consulting fees Amgen, AstraZeneca, Genentech, Inc., GlaxoSmithKline, Kezar and Novartis, Richard A. Furie received consulting fees from GlaxoSmithKline and Genentech, Inc., received research support from GlaxoSmithKline and Genentech, Inc., Imran Hassan employee of F. Hoffmann-La Roche Ltd, Bongin Yoo shareholder of F. Hoffmann-La Roche Ltd, employee of Genentech, Inc., Elsa Martins employee of F. Hoffmann-La Roche Ltd, Ann-Christin Hans employee of F. Hoffmann-La Roche Ltd, Theodore A. Omachi shareholder of F. Hoffmann-La Roche Ltd, employee of Genentech, Inc., Thomas Schindler shareholder of F. Hoffmann-La Roche Ltd, employee of F. Hoffmann-La Roche Ltd, Jay Garg shareholder of F. Hoffmann-La Roche Ltd, employee of Genentech, Inc., Jörg Henes received consulting fees from AbbVie, AstraZeneca, BMS, GlaxoSmithKline, Novartis, Pfizer and UCB, Ana Malvar received consulting fees from F. Hoffmann-La Roche Ltd and Genentech, Inc. © 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.054
GPT teacher head0.328
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 source (direct Gemma or distilled Codex), 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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