Biomarker Analyses of the CC-92480-MM-001 Trial to Guide Combinatorial Strategies for Mezigdomide
Notice bibliographique
Résumé
Introduction: Mezigdomide (MEZI) is a novel, oral CELMoD™ agent that induces rapid and potent degradation of Ikaros and Aiolos. Reduction of 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 relapsed/refractory MM (RRMM). However, there is still a need for new combination strategies for patients refractory to multiple other therapies. Here we report pharmacodynamic (PD) biomarker analyses from blood and bone marrow of patients with RRMM to help guide combinatorial strategies for MEZI. Methods:Clinical PD biomarker analyses focused on cohorts of MEZI plus DEX (MEZI-d) in patients with RRMM with dosing from 0.8 to 1.0 mg on the 21/28-day schedule or MEZI monotherapy at 0.6 mg on the 21/28-day dosing schedule. Biomarker analyses included peripheral blood samples collected on treatment cycle (C)1 day (D)1 through mid-C2 for Aiolos expression in T cells and immunomodulation by flow cytometry. Bone marrow samples were collected for immunohistochemistry at screening and mid-C2, and for genomics analyses at screening. Biomarker analyses were evaluated in patients with RRMM (n = 124) who had received pomalidomide or daratumumab in their last prior line of treatment (POM-L [n = 49] or DARA-L [n = 32], respectively) or with prior exposure to CAR T cell/T-cell engager (TCE) therapies (n = 11). Results:MEZI-d was pharmacodynamically active in RRMM independent of prior therapies. In patients with POM-L, MEZI induced >80% substrate degradation in peripheral blood and tumor cells (median H-score % change POM-L: −22%; non-POM-L: −49%). Comparable baseline T-cell counts (CD3+, CD4+, CD8+), % proliferative CD4+ T cells (Ki67+), % effector memory CD4+ T cells (CD45RA−CD45RO+CCR7−), and % activated CD4+T cells (HLA-DR+) were observed in MEZI-d patients independent of POM-L, DARA-L, or prior exposure to CAR T cell/TCE therapies. Gradual immunostimulation of T and NK cells was observed during the first 2 weeks of MEZI dosing, peaking between D15 and D21 of the dosing cycle, and returned to baseline after drug holidays. These included increased proliferative CD4+ T cells (median at C1D15: 146.4%), increased effector memory CD4+ T cells (median at C1D15: 31.4%) and increased activated CD4+ T cells (median at C1D15: 80.4%) independent of prior therapies. Moreover, changes in immunomodulation were observed in both responders and non-responders. Immune PD between MEZI monotherapy versus MEZI-d doublet combination was comparable. Whole-genome sequencing analyses showed hypodiploidy was the most common abnormality. Analyses of high-risk molecular features showed responses to MEZI-d in patients with TP53 mutations, del17p, 1qAmp, t4:14, and cereblon defects; RAS/RAF mutations appeared to be enriched in responders. RNAseq analyses showed that high baseline EZH2 expression was significantly (P < 0.05) associated with inferior progression-free survival (PFS). Conclusions: Our data show MEZI-d was pharmacodynamically active in both responders and non-responders, and independent of prior therapies. Gradual changes of immunophenotype peaked around mid-C1, suggesting that MEZI treatment may maximize T-cell effects within the first 2 weeks, and may have implications for the optimal sequencing of T cell-redirecting therapies. MEZI showed potent immunomodulation as a monotherapy and in combination with DEX, highlighting the potential to enhance immune redirecting therapies with or without DEX. We also identified MEZI-induced responses across various high-risk molecular features. Inferior PFS was associated with high baseline EZH2 expression, which highlighted potential combinatorial therapy of MEZI with EZH2 inhibition to improve clinical efficacy.
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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 | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 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 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 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 ».