Iberdomide (IBER) in Combination with Dexamethasone (DEX) in Relapsed/Refractory Multiple Myeloma (RRMM): Results from the Anti-B-Cell Maturation Antigen (BCMA)-Exposed Cohort of the CC-220-MM-001 Trial
Notice bibliographique
Résumé
Introduction: IBER, a novel, oral cereblon E3 ligase modulator (CELMoD®), has greater tumoricidal and immune-stimulatory effects compared with immunomodulatory drugs (IMiDs®), and has shown marked synergy with DEX and other antimyeloma therapies in preclinical models. IBER is being investigated in the phase 1/2 CC-220-MM-001 (NCT02773030) and phase 3 EXCALIBER-RRMM (NCT04975997) studies with different treatment combinations in patients (pts) with RRMM. In phase 1 of CC-220-MM-001, IBER + DEX showed notable efficacy (overall response rate [ORR] 31.9%) and a manageable safety profile. Given the emergence of novel anti-BCMA therapies in RRMM, assessment of pts with prior anti-BCMA exposure is an important consideration. Here we report results from the dose-expansion phase of IBER + DEX in heavily pretreated, triple-class-exposed (including ≥ 1 IMiD agent, ≥ 1 proteasome inhibitor [PI], and ≥ 1 anti-CD38 monoclonal antibody [mAb]) pts with RRMM who had also received prior anti-BCMA therapy. Methods: Eligible pts had RRMM, had received ≥ 3 prior lines of therapy (including lenalidomide or pomalidomide, a PI, an anti-CD38 mAb, and an anti-BCMA therapy) and had documented progressive disease (PD) on or within 60 days of their last antimyeloma therapy (documented PD if chimeric antigen receptor [CAR] T cell therapy was the last therapy). IBER 1.6 mg was given orally on days 1-21 of each 28-day cycle, plus weekly DEX (40 mg; 20 mg if > 75 years of age). The primary objectives were to determine preliminary efficacy (ORR) and safety. Results: As of April 15, 2022, 38 pts had received IBER + DEX in the anti-BCMA-exposed cohort. Median age was 65 (range 50-78) years and median time since initial diagnosis was 7.8 (0.6-24.8) years. High-risk cytogenetics were present in 31.6% of pts (52.6% pts were not evaluable), and 23.7% of pts had extramedullary plasmacytomas. Median number of prior regimens was 7 (4-15). All pts were triple-class exposed. Prior anti-BCMA therapies included CAR T cell therapy (36.8%), antibody-drug conjugates (34.2%), and T-cell engagers (TCEs; 23.7%) (Table); 78.9% of pts were refractory to the last antimyeloma regimen and 84.2% were triple-class refractory. Median follow-up was 8.1 (range 1.5-24.2) months, with a median number of 3.5 (1-19) cycles received and 21.1% of pts continuing treatment. Discontinuation was due mainly to PD, reported in 68.4% of pts. ORR (≥ partial response) was 36.8%, with 2 (5.3%) complete responses, 5 (13.2%) very good partial responses, and 7 (18.4%) partial responses. Clinical benefit rate (≥ minimal response) was 39.5%. Responses were observed regardless of prior anti-BCMA therapy (Figure; updated data will be presented at the congress). Median duration of response was 7.5 (95% confidence interval [CI] 3.2-not reached) months, median progression-free survival was 2.4 (95% CI 2.1-4.2) months, and median time to response was 1.4 (range 0.9-5.4) months. Grade (Gr) 3/4 treatment-emergent adverse events (TEAEs) occurred in 30 (78.9%) pts and were mostly hematologic; most frequent (≥ 20% pts) were neutropenia (50.0%, with 5.3% cases of febrile neutropenia), anemia (28.9%), leukopenia (23.7%), and thrombocytopenia (21.1%). Gr 3/4 infections occurred in 23.7% of pts and included pneumonia (21.1%); the occurrence of other Gr 3/4 non-hematologic TEAEs was low and included hypokalemia, hypertension, and mood alterations (all 5.3%). Two (5.3%) deaths were reported (due to sepsis and PD) which were not considered related to study treatment. IBER dose interruptions and reductions occurred in 24 (63.2%) and 7 (18.4%) pts, respectively. No pts discontinued IBER due to TEAEs. Immunophenotyping showed comparable immunodeficiency (low absolute B-cell counts, T-cell counts, and CD4:CD8 ratio) between anti-BCMA-exposed pts and triple-class-exposed pts without prior anti-BCMA exposure; this was more pronounced following TCE-based therapies. Importantly, IBER + DEX remained immune-stimulatory in this population, increasing T- and NK-cell proliferation and T-cell activation. Conclusions: IBER + DEX showed encouraging efficacy and safety in pts with triple-class-exposed RRMM and prior anti-BCMA therapy. The results are comparable to those from Cohort D of the same study, which is assessing IBER + DEX in pts with triple-class refractory RRMM. These findings support further development of IBER in RRMM, including in anti-BCMA-exposed pts. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal
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 | 0,001 | 0,001 |
| 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 | 0,000 | 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 ».