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Record W4417016321 · doi:10.1182/blood-2025-8246

Trial in progress: A phase 1b/2a study to evaluate mezigdomide in combination with elranatamab in patients with relapsed/refractory multiple myeloma

2025· article· en· W4417016321 on OpenAlexaff
Noffar Bar, Nizar J. Bahlis, Zihan Lin, Kevin Hsu, Jessica Katz, Colin D. Godwin, Luciano J. Costa

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTolerabilityMultiple myelomaPhases of clinical researchPharmacokineticsPharmacodynamicsBortezomibDrug

Abstract

fetched live from OpenAlex

Abstract Background and Significance:Most patients with multiple myeloma (MM) will eventually experience relapse, resulting in poor prognosis. There thus remains an unmet need for novel treatment options to improve outcomes for patients with relapsed/refractory MM (RRMM). Mezigdomide (MEZI) is an oral CELMoD™ agent that induces enhanced degradation of Ikaros/Aiolos, leading to increased MM cell apoptosis and immunostimulatory effects, with potential to improve the efficacy of T-cell engagers (TCEs). Elranatamab (ELRA) is a B-cell maturation antigen (BCMA)-directed CD3 TCE approved in the USA for the treatment of patients with RRMM. The CA057-1040 study aims to determine the recommended dose and schedule and evaluate the safety and preliminary efficacy of MEZI plus ELRA in patients with RRMM. Study Design and Methods: This multicenter, worldwide, open-label, phase 1b/2a study (NCT06988488) consists of 2 parts: phase 1 (dose escalation) will evaluate the safety and tolerability of increasing doses of MEZI in combination with ELRA to establish the recommended phase 2 doses (R2PDs) for dose expansion; phase 2 (dose expansion) will further evaluate the safety, pharmacokinetics (PK) and pharmacodynamics (PD), and preliminary efficacy of MEZI plus ELRA at 2 preliminary R2PDs to establish the final R2PD. Eligible patients are ≥18 years of age and have a history of RRMM with documented disease progression and measurable disease. Patients in the USA must have received 2–4 prior lines of anti-myeloma therapy including an immunomodulatory drug (IMiD®) agent, a proteasome inhibitor, and an anti-CD38 monoclonal antibody. In phase 1, patients will be assigned to dose-level cohorts and receive MEZI administered orally once daily on days 1–21 of 28-day cycles, plus ELRA 76 mg administered subcutaneously starting every 2 weeks. Prior to initiation of the combination treatment, patients will receive ELRA in a 14-day priming dose regimen (12 mg on day 1, 32 mg on day 4, and 76 mg on day 8 of cycle 0). Patients will be observed for dose-limiting toxicities (DLTs; defined as specific adverse events [AEs] excluding those related to disease progression or intercurrent illness) during days 1–28 of cycle 1. Two tolerated dose levels from phase 1 at or below the maximum tolerated dose will be recommended for selection by the Safety Review Committee as preliminary RP2Ds. In phase 2, patients will be randomized 1:1 to receive MEZI plus ELRA at 1 of the 2 preliminary RP2Ds. Each phase 2 arm will enroll approximately 22 patients, and randomization will be stratified by number of prior lines of therapy (1 vs 2 or 3). Patients will continue study treatment in 28-day cycles for up to 5 years or until progressive disease, unacceptable toxicity, withdrawal of consent, or other reason for treatment discontinuation. Following phase 2, a single dose level will be determined as the final RP2D based on the cumulative safety, PK, PD, and preliminary efficacy data. The primary endpoints are the incidences of AEs, serious AEs, AEs leading to discontinuation and deaths, and DLTs; secondary endpoints include response rate (including overall response rate, complete response rate, and very good partial response rate), time to response, duration of response, progression-free survival, and overall survival. Details of statistical analysis will be finalized and reported with the statistical analysis plan. Enrollment is targeted to begin in the 3rd quarter of 2025.

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)0.003
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: Protocol · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.002

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 head0.019
GPT teacher head0.334
Teacher spread0.315 · 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
GenreProtocol

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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