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Record W4417004835 · doi:10.1182/blood-2025-5697

Pharmacodynamic activity and clinical benefits of mezigdomide in high-risk biomarker subgroups from the CC-92480-MM-001 study

2025· article· en· W4417004835 on OpenAlexaff
Tracy T. Chow, Nicholas Stong, Keyur Desai, Saleh Tamim, Chad C. Bjorklund, Joseph T. Hadala, Cynthia Donahue, Phillip J. Koo, Erica Petrlik, Jessica Katz, Anita K. Gandhi, Suzanne Trudel, Nizar J. Bahlis, Paul G. Richardson, Michael Amatangelo

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of CalgaryPrincess Margaret Cancer Centre
Fundersnot available
KeywordsBiomarkerPomalidomidePharmacodynamicsMultiple myelomaBone marrowClinical trialWhole blood

Abstract

fetched live from OpenAlex

Abstract Introduction: Mezigdomide (MEZI) is an oral CELMoD™ agent that induces rapid and potent degradation of lkaros and Aiolos. Reduction in these transcription factors results in direct tumoricidal and immunomodulatory effects in multiple myeloma (MM). MEZI showed promising efficacy and safety when combined with dexamethasone (DEX) in the phase 1/2 CC-92480-MM-001 trial (NCT03374085) in patients with relapsed/refractory MM (RRMM) (Richardson PG, et al. NEJM 2023;389(11):1009–1022); however, the effects of MEZI in high-risk molecular subgroups and/or plasmacytomas refractory to multiple prior therapies are unclear. Here we report biomarker analyses from blood and bone marrow samples to better understand pharmacodynamic (PD) activities in high-risk subgroups, as well as the potential associations of early biomarker changes with long-term clinical benefit. Methods: Clinical PD biomarker analyses focused on cohorts of patients with RRMM receiving MEZI plus DEX (MEZI-d) with doses ranging from 0.1 to 2.0 mg across multiple dosing schedules. Biomarker analyses included peripheral blood samples collected on treatment cycle (C)1 day1 pre- and post-dose to assess Aiolos expression in T cells. Serum free light chain (sFLC) and soluble B-cell maturation antigen (sBCMA) were analyzed as tumor burden biomarkers from C1 to C6. Bone marrow samples were collected for immunohistochemistry at screening through mid-C3 and for genomics analyses at screening. Biomarker analyses were evaluated in the escalation (n=77) and expansion (n=101) cohorts. Results: MEZI-d was pharmacodynamically active across all doses tested in the peripheral blood and tumors of patients with prior exposure and/or refractoriness to pomalidomide in their last prior line of therapy. No apparent association between baseline cereblon (CRBN)/Aiolos/Ikaros protein levels and response was observed in the tumors. A decreasing trend in Aiolos and Ikaros protein levels was observed in both responders (≥ partial response; median Aiolos degradation: −43.9%, n=7) and non-responders (median Aiolos degradation: −25.6%, n=13). Substrate degradation was also observed in patients with CRBN defects (defined as CRBN LOH; COPS7Bdel; COPS8del; Del10; CRBN mutation) and in those with high-risk molecular features [Del17p, TP53, t(4:14), t(14:16), Amp1q] as assessed by whole-genome sequencing (WGS). WGS analyses indicated that MEZI-d induced clinical response in patients with CRBN defects and ultra-high-risk molecular features (≥1 CRBN defect + ≥2 high-risk chromosomal abnormalities). In patients treated with MEZI-d, reductions in tumor burden biomarkers (sFLC and sBCMA) were observed in cytogenetic high-risk patients and in those with plasmacytomas. In the MEZI-d expansion cohort, analyses of Aiolos degradation in tumor, but not blood, samples were significantly associated with improved progression-free survival (PFS) in patients treated with MEZI-d by Cox proportional hazards regression model (CoxPH) (P=0.006). Kaplan Meier (KM) survival analysis using the median as the cut point showed that there was a significant improvement in PFS for patients who had Aiolos degradation ≥−47.1% (median PFS [mPFS] 9.9 months) compared with those with Aiolos degradation <−47.1% (mPFS, 2.8 months) (log rank, P=0.007; hazard ratio [HR], 0.17; 95% CI, 0.043–0.699). Moreover, patients who had a greater decrease in their involved light chain during the first 3 cycles of treatment also had a significant improvement in PFS (CoxPH, P<0.000001). KM analysis showed that PFS was significantly longer for patients achieving a nadir sFLC reduction of ≥−78.6% (mPFS, 7.1 months) compared with those with sFLC <−78.6% (mPFS, 2.3 months) (log rank, P<0.001; HR, 0.43; 95% CI, 0.270–0.700). Conclusions: Our data show that MEZI can induce antitumor activities in patients with RRMM with high-risk molecular features and/or plasmacytomas. Aiolos degradation and reductions in involved light chain as tumor burden biomarkers within the first 3 cycles of MEZI-d treatment was associated with improved PFS, indicating that these early changes and the potent, deep substrate degradation related to the mechanism of action of MEZI are associated with long-term clinical benefit and support dose selection in combination strategies for MEZI. Validation of these biomarker analyses in high-risk molecular subgroups and association of early changes with response will be further investigated in the phase 3 SUCCESSOR-1 and -2 trials.

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)0.002
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 score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.363
Teacher spread0.329 · 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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