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Record W4310126163 · doi:10.1182/blood-2022-162738

Elranatamab in Combination with Daratumumab for Patients (pts) with Relapsed/Refractory Multiple Myeloma (RRMM): Results from the Phase 3 Magnetismm-5 Study Safety Lead-in Cohort

2022· article· en· W4310126163 on OpenAlexaff
Sebastian Grosicki, Ulf‐Henrik Mellqvist, Łukasz Pruchniewski, Jacob Crafoord, Suzanne Trudel, Chang‐Ki Min, Darrell White, Adrían Alegre, Markus Hansson, Takashi Ikeda, Kazutaka Sunami, Eric Leip, Arthur J. Kudla, Gregory Finn, Youngil Koh

Bibliographic record

VenueBlood · 2022
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie UniversityPrincess Margaret Cancer Centre
Fundersnot available
KeywordsDaratumumabMedicineMultiple myelomaLenalidomideOncologyInternal medicineCohortRefractory (planetary science)Materials science

Abstract

fetched live from OpenAlex

Introduction: Elranatamab (PF-06863135) is a humanized bispecific antibody targeting B cell maturation antigen (BCMA)-expressing MM cells and CD3-expressing T cells, resulting in T cell-mediated cytotoxicity. In the phase 2 MagnetisMM-3 (NCT04649359) study, elranatamab monotherapy was well tolerated and yielded an overall response rate of 60.6% at the recommended phase 2 dose in heavily pretreated pts with RRMM (Lesokhin et al, J Clin Oncol, 2022). MagnetisMM-5 (NCT05020236) is an open-label, multicenter, randomized phase 3 study designed to evaluate the efficacy and safety of subcutaneous (SC) elranatamab monotherapy or in combination with daratumumab in pts with RRMM. We report results from the safety lead-in cohort (Part 1) of MagnetisMM-5. Methods: In Part 1, pts received SC elranatamab + SC daratumumab. Elranatamab was given with premedication and a 2 step-up priming regimen during the first week of Cycle 1, followed by full dose once weekly beginning C1D8 and continuing through C6, then every 2 weeks beginning C7D1 if PR or better for ≥2 mo. Daratumumab dosing was according to the US prescribing information. Two elranatamab dose levels were evaluated sequentially. Pts must have received ≥3 prior lines of anti-MM therapy, including lenalidomide and a proteasome inhibitor. Pts exposed to prior BCMA-targeted therapies were excluded. Dose-limiting toxicities (DLT) were monitored for a total of 42 days. Treatment-emergent adverse events (TEAEs) were graded by Common Terminology Criteria for Adverse Events (v5.0), and severity of cytokine release syndrome (CRS)/immune effector cell-associated neurotoxicity syndrome (ICANS) were assessed according to American Society for Transplantation and Cellular Therapy criteria. Response was assessed by International Myeloma Working Group criteria. Results: As of Apr 11, 2022, 28 pts were enrolled and treated. Pts had a median (range) age of 68 (46-78) y. Pts had a median of 5 prior regimens, 18% had triple-class refractory disease, and 71% had prior autologous stem cell transplantation. After a median (range) treatment duration of 6.8 (0.1-23.1) wk, most pts (93%) experienced at least one TEAE; with 46% experiencing G3/4 TEAEs. The most common (≥20%) all causality TEAEs included CRS (50%; all G1-2), neutropenia (29%; 14% G3, 14% G4), and pyrexia (21%; all G1). No pts experienced ICANS. The majority of CRS events occurred after the first dose of elranatamab and no pts permanently discontinued study treatment due to CRS. The median (range) time to onset of CRS was 2 (1-4) d, resulting in elranatamab dose interruption in 7.1% of pts. No DLTs were observed. Promising early responses to elranatamab + daratumumab, including VGPR and sCR, were observed. Median time to response was 1 (1-3) mo. Response data will be updated at the time of presentation. Conclusions: SC elranatamab + SC daratumumab demonstrated promising early responses with a manageable safety profile in pts with RRMM, consistent with the SC elranatamab monotherapy results from MagnetisMM-3. No DLTs were observed, and no pts experienced ICANS or ≥G3 CRS with the 2 step-up priming regimen for elranatamab. These results support continued development of elranatamab in combination with daratumumab for pts with RRMM. In Part 2 of MagnetisMM-5, pts will be randomized 1:1:1 to receive SC elranatamab monotherapy, or SC elranatamab + SC daratumumab, or SC daratumumab + oral pomalidomide + oral dexamethasone. Acknowledgments: This study was sponsored by Pfizer. Medical writing support was provided by Simon Stones, PhD, of Engage Scientific Solutions, and funded by Pfizer.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.278
Teacher spread0.262 · 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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Citations31
Published2022
Admission routes1
Has abstractyes

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