Pharmacodynamic activity and clinical benefits of mezigdomide in high-risk biomarker subgroups from the CC-92480-MM-001 study
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».