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Record W4417001881 · doi:10.1182/blood-2025-100

Safety and efficacy of elranatamab in combination with iberdomide in patients with relapsed or refractory multiple myeloma: Results from the phase 1b MagnetisMM-30 trial

2025· article· en· W4417001881 on OpenAlexaff
Attaya Suvannasankha, Jonathan L. Kaufman, Ashraf Badros, Michel Pavic, Hock Choong Lai, Muhammad Sheraz Raza, Parth Shah, Patrick J. Mueller, Jorge Acosta‐Reyes, Margaret Hoyle, Erik Vandendries, Alexander M. Lesokhin

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsDr. Everett Chalmers Regional HospitalCentre Hospitalier Universitaire de Sherbrooke
Fundersnot available
KeywordsRefractory (planetary science)RegimenMultiple myelomaPhases of clinical researchBone marrowNeutropeniaBortezomibLenalidomideProteasome inhibitorProgressive disease

Abstract

fetched live from OpenAlex

Abstract Background Elranatamab (ELRA), a B-cell maturation antigen (BCMA)-CD3 bispecific antibody, induced deep and durable responses with a manageable safety profile in the phase 2 registrational MagnetisMM-3 study (NCT04649359) in patients (pts) with relapsed or refractory multiple myeloma (RRMM) (Prince et al, ASH2024). Among pts with no prior BCMA-directed therapy, the objective response rate (ORR) was 61.0% and 37.4% achieved complete response (CR) or better (median follow-up 33.9 mo estimated by reverse Kaplan-Meier [KM]). Oral iberdomide (IBER) is a novel CELMoD agent that enhances antimyeloma tumoricidal and immunomodulatory activity in pts with RRMM (Lonial et al, Lancet Haematol 2022). MagnetisMM-30 (NCT06215118) is a phase 1b, open-label, multicenter, dose escalation (Part 1) and dose optimization (Part 2) prospective study evaluating the safety, efficacy, and pharmacokinetics (PK) of ELRA + IBER in pts with RRMM. Here we present preliminary data from Part 1 of MagnetisMM-30. Methods Eligible pts were aged ≥18 years with a diagnosis of MM per IMWG criteria, ECOG performance status of 0 or 1, adequate organ and bone marrow function, and disease relapsed or refractory to the last antimyeloma regimen per IMWG criteria. For Part 1, pts received 2 to 4 prior lines of therapy (LOT). All pts must have received ≥2 consecutive cycles of an immunomodulatory drug-containing regimen and ≥2 consecutive cycles of a proteasome inhibitor (PI) or PI-containing regimen. Key exclusion criteria included stem cell transplant ≤12 weeks prior to enrollment; active, uncontrolled infection; prior treatment with BCMA-directed or CD3 redirecting therapy or prior CELMoD agents. Part 1 of MagnetisMM-30 was guided by a Bayesian Optimal Interval Design for dose-escalation. After receiving 2 step-up priming doses of subcutaneous (SC) ELRA (12 mg on day 1 and 32 mg on day 4) and the first full dose of ELRA on day 8 (76 mg), pts received SC ELRA at dose level (DL) 1 or DL2 in 28-day cycles. In DL1, pts received a starting dose of ELRA at 76 mg QW while in DL2, pts received a starting dose of ELRA at 76 mg Q2W. IBER was given daily for 21 days of each cycle (DL-1: 0.75 mg, DL1: 1.0 mg, DL2: 1.3 mg). The primary endpoint of Part 1 was dose-limiting toxicities (DLTs) during the first cycle of treatment. Secondary endpoints included adverse events and laboratory abnormalities, ORR, CR rate, time-to-event outcomes, PK, minimal residual disease negativity rate, and immunogenicity. Results Of the 22 pts in Part 1 (DL1: 13, DL−1: 9), the median age was 68 y (range, 46-83), 10 (45.5%) were male, 4 (18.2%) had extramedullary disease, 9 (40.9%) had high-risk cytogenetics, defined as t(4;14), t(14;16), or del(17p), 1 (4.5%) had R-ISS stage III, and 2 (9.1%) had ≥50% baseline bone marrow plasma cells. Pts had a median of 2.5 prior LOT (range, 2-4), and 11 (50%) had triple-class refractory disease. At data cutoff (June 23, 2025), the median (range) ELRA treatment duration was 3.1 mo (0.5-7.2) overall and 6.1 mo (0.5-7.2) for DL1 and 1.9 mo (1.5-3.3) for DL−1. IBER treatment duration was 2.6 mo (0.1-6.7) overall and 5.7 mo (0.1-6.7) for DL1 and 1.6 mo (0.7-3.0) for DL−1. ELRA + IBER was ongoing in 77.3% (DL1: 8, DL−1: 9) of pts. Four pts had DLTs; 2 in DL1 (1 grade [G]3 anorexia; 1 G4 neutropenia) and 2 in DL−1 (1 G3 febrile neutropenia; 1 G4 neutropenia). Treatment-emergent adverse events (TEAEs) were reported in 100% (G3/4 68.2%) of pts. The most frequent TEAEs (any G ≥45% or G3/4 ≥10%) were cytokine release syndrome (68.2%, all ≤G2), fatigue (63.6%, all ≤G2), neutropenia (59.1%, G3/4 59.1%), diarrhea (45.5%, all ≤G2), anemia (31.8%, G3/4 13.6%), and thrombocytopenia (27.3%, G3/4 13.6%). Infections were reported in 40.9% (G3/4 4.5%) of pts and immune effector cell–associated neurotoxicity syndrome events were reported in 2 pts (9.1%, 1 G1 and 1 G2). At a median follow-up of 6.1 mo (95% CI, 2.8-7.1), estimated by reverse Kaplan-Meier, the unconfirmed ORR was 90.9% (95% CI, 70.8-98.9) in 20/22 pts; 45.5% (10/22) had CR or better and 68.2% (15/22) had very good partial response or better. The confirmed ORR was 77.3% (17/22) with a median time to response of 1.1 mo (range, 0.5-2.4). Conclusions ELRA + IBER demonstrated a favorable safety profile and encouraging efficacy. The study continues enrolling and will explore ELRA + IBER in a larger group of pts with RRMM. Results from a longer follow-up will be presented.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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 designNon-randomized trial
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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Citations7
Published2025
Admission routes1
Has abstractyes

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