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Record W4405044004 · doi:10.1182/blood-2024-198403

Mezigdomide (MEZI) in Novel-Novel Combinations for Relapsed or Refractory Multiple Myeloma (RRMM): Preliminary Results from the CA057-003 Trial

2024· article· en· W4405044004 on OpenAlexaff
Luciano J. Costa, Fredrik Schjesvold, Rakesh Popat, David S. Siegel, Saad Z. Usmani, Syed Abbas Ali, Michael P. Chu, Monique Hartley-Brown, Nizar J. Bahlis, Albert Oriol, Joaquín Martínez‐López, Enrique M. Ocio, Karthik Ramasamy, Donna Reece, Emma Searle, Allison Gaudy, Antonina V. Kurtova, Wen Zhang, R. Sarmiento, August Dietrich, Jessica Katz, Michael Pourdehnad, Paul G. Richardson

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsLenalidomideMedicinePomalidomideMultiple myelomaInternal medicineOncologyRefractory (planetary science)Biology

Abstract

fetched live from OpenAlex

Introduction: MEZI, a novel, potent oral CELMoD™ agent, induces rapid and maximal degradation of Ikaros and Aiolos compared with immunomodulatory drugs (IMiDs®), resulting in direct tumoricidal and immunomodulatory effects in myeloma cells. The CA057-003 phase 1/2 trial (NCT05372354) is evaluating all-oral, novel-novel targeted triplet combination regimens using a MEZI plus dexamethasone (DEX) (MEZId) backbone in patients (pts) with RRMM. The third agent in each combination intervenes on a key oncogenic pathway identified by The Myeloma Genome Project to be upregulated in RRMM: the EZH2 inhibitor tazemetostat (TAZ) for PRC2 complex dysregulation, the BET inhibitor BMS-986158 for CKS1b (located on Chr 1q) amplification, and the MEK inhibitor trametinib (TRAM) for RAS-RAF-MEK-ERK activation. Here we report preliminary results from the CA057-003 dose-finding cohorts of MEZId combined with TAZ, BMS-986158, or TRAM in pts with RRMM. Methods: Eligible pts had RRMM with documented progressive disease (PD) during or after the last regimen, ECOG performance status score ≤1, and were intolerant to or ineligible for all available established therapies. Oral MEZI was given daily (QD) at escalating doses of 0.3, 0.6, or 1.0 mg on days (D)1-21 of each 28-D cycle with 40 mg (20 mg if ≥75 y of age) weekly DEX plus 800 mg twice daily oral TAZ on D1-28; 2 or 3 mg QD oral BMS-986158 5D-on-2D-off D1-14; or 1.5 or 2 mg QD oral TRAM on D1-21. Primary objectives included defining the recommended phase 2 dose and dosing schedule, and evaluating safety. Secondary objectives included efficacy and pharmacokinetics. There was no biomarker screening. Results: As of May 8, 2024, 14 pts received MEZId + TAZ, 16 MEZId + BMS-986158, and 15 MEZId + TRAM. Across all cohorts, median (range) age was 63 (37-83) y and median time since initial diagnosis was 7.5 (2.0-18.4) y. Eight (18%) pts were Black/African American, 35 (78%) White, and race was not collected/unknown (NA) in 2 (4%); 6 (13%) were Hispanic/Latino and 36 (80%) were not (NA = 3 [7%] pts); 56% were in the United States. Extramedullary plasmacytomas were present in 16 (36%) pts. The median number of prior antimyeloma regimens was 5 (2-20). Prior therapies included autologous stem cell transplantation (78%), IMiD agents (100%), proteasome inhibitors (PIs; 100%), anti-CD38 monoclonal antibodies (mAbs; 100%), and T cell-redirecting therapy (58%); 82% had triple-class refractory disease (to an IMiD agent, PI, and anti-CD38 mAb). At data cutoff, 7 (50%) pts continued on treatment in the MEZId + TAZ cohort, 8 (50%) in the MEZId + BMS-986158 cohort, and 10 (67%) in the MEZId + TRAM cohort. The main reason for discontinuation in all 3 cohorts was PD. Median follow-up was 4.1 (1.0-11.0) mo (MEZId + TAZ), 2.9 (1.0-6.5) mo (MEZId + BMS-986158), and 3.6 (0-10.6) mo (MEZId + TRAM). The most frequent grade (Gr) 3/4 treatment-emergent adverse event (TEAE) across all 3 cohorts was neutropenia (43-73%); Gr 3/4 non-hematologic TEAEs were low or absent. Three pts had dose-limiting toxicities (1 with 0.3 mg MEZId + BMS-986158, 1 with 1.0 mg MEZId + BMS-986158, and 1 with 1.0 mg MEZId + TRAM). In the efficacy-evaluable population, overall response rate (≥ partial response [PR]) was 54% (7/13 pts) with MEZId + TAZ; 36% (5/14) with MEZId + BMS-986158; and 92% (11/12) with MEZId + TRAM. In the MEZId + TAZ and MEZId + BMS-986158 cohorts, deeper responses (≥ very good PR), including 1 stringent complete response (sCR) with MEZId + TAZ, were observed with 1.0 mg MEZI, and in the MEZId + TRAM cohort with ≥0.6 mg MEZI (including 1 sCR), and 100% (5/5 pts) at 1.0 mg MEZI were ongoing responses with this combination. Exposures increased in a dose-linear manner over the dose range and were consistent across treatment cohorts, demonstrating no drug-drug interaction between MEZI and novel therapeutic agents. MEZI remained pharmacodynamically active, inducing Ikaros/Aiolos degradation and B-cell reduction with all combination agents at all dose levels, with the greatest effect observed at MEZI 1.0 mg. Conclusions: MEZId combined with the novel therapeutic agents TAZ, BMS-986158, or TRAM showed promising efficacy and a manageable safety profile in patients with RRMM. No new safety signals were identified, with neutropenia being the most common Gr 3/4 TEAE in all 3 cohorts. These results provide a rationale for further exploration of these novel all-oral combinations. Accrual continues and updated results will be presented at the meeting.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.066
GPT teacher head0.332
Teacher spread0.267 · 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".

Quick stats

Citations9
Published2024
Admission routes1
Has abstractyes

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