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Enregistrement W4405044954 · doi:10.1182/blood-2024-205608

Phase 3 Study of Teclistamab (Tec) in Combination with Lenalidomide (Len) and Tec Alone Versus Len Alone in Newly Diagnosed Multiple Myeloma (NDMM) As Maintenance Therapy Following Autologous Stem Cell Transplantation (ASCT): Safety Run-in (SRI) Results from the Majestec-4/EMN30 Trial

2024· article· en· W4405044954 sur OpenAlexaff
Elena Zamagni, Tobias Silzle, Ivan Špıčka, Sabrin Tahri, Sarah Lonergan, Inger S. Nijhof, Antonietta Falcone, Evangelos Terpos, Jakub Radocha, Roberto Mina, Güldane Cengiz Seval, Meral Beksaç, Cesar Rodriguez, Marcelo C. Pasquini, Michel Delforge, Vânia Hungria, Donna Reece, Philippe Moreau, Yaël C. Cohen, Kihyun Kım, Dominik Dytfeld, Jiří Minařík, Irene Straßl, Jelena Bila, Martin Schreder, Janusz Krawczyk, Fredrik Schjesvold, Caroline Cicin‐Sain, Christoph Driessen, Gordon Cook, Lugui Qiu, Gonzalo Garate, Agoston Gyula Szabo, Roman Hájek, Marc S. Raab, Silvia Mangiacavalli, Hermann Einsele, Andrew Spencer, Mario Boccadoro, Helen Vassalou, Lixia Pei, Yingqi Shi, Maria Krevvata, Ryan B. Gruber, Caline Sakabedoyan, Margaret M. Cobb, Jagoda Jasielec, Himal Amin, Rachel Kobos, Pieter Sonneveld, Niels W.C.J. van de Donk

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineTECLenalidomideInternal medicineOncologyMultiple myelomaCohortAutologous stem-cell transplantationSurgery

Résumé

récupéré en direct d'OpenAlex

Introduction: Len maintenance after ASCT has significant progression-free and overall survival benefits and is considered standard-of-care for transplant-eligible NDMM. However, patients (pts) eventually relapse, supporting the need for novel maintenance strategies to improve outcomes. Tec, a first-in-class B-cell maturation antigen × CD3 bispecific antibody, demonstrated deep and durable responses in multiple myeloma (MM), leading to its approval for triple-class exposed relapsed and refractory MM. Based on preclinical results, Tec and Len may have synergistic antimyeloma effects. MajesTEC-4/EMN30 is a multicenter, randomized, open-label, Phase 3 study evaluating Tec-Len, Tec, and Len maintenance therapy in NDMM after induction and ASCT, ± consolidation. Here, we report initial SRI results. Methods: Eligible pts were aged ≥18 y, had NDMM (per International Myeloma Working Group [IMWG] criteria), received 4-6 cycles of 3- or 4-drug induction that included a proteasome inhibitor and/or an immunomodulatory drug ± an anti-CD38 antibody and a single or tandem ASCT ± consolidation, and achieved a partial response or better per IMWG 2016 response criteria. Three cohorts at different Tec dose frequencies were evaluated: Cohort 1 (Tec-Len) with Tec dosing at 1.5 mg/kg QW for 2 cycles (C), followed by 3 mg/kg Q2W in C3-6, and 3 mg/kg Q4W in C7+; Cohort 2 (Tec-Len) with Tec dosing at 1.5 mg/kg on Days 8 and 15 in C1, followed by 3 mg/kg Q4W in C2+; and Cohort 3 (Tec) dosing at 1.5 mg/kg on Days 8 and 15 in C1, followed by 3 mg/kg Q4W in C2+. All pts received the same inpatient Tec step-up schedule in C1 (0.06 mg/kg; 0.3 mg/kg). Len 10 mg QD in C2-4 (if tolerated, 15 mg thereafter) was given in Tec-Len cohorts. Treatment duration was 2 y for all pts; in Tec-Len cohorts, Tec was stopped after 13 cycles of treatment if complete response or better (≥CR) was achieved. Adverse events (AEs) were graded per Common Terminology Criteria for Adverse Events v5.0. Cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) were graded per American Society for Transplantation and Cellular Therapy guidelines. Investigator-assessed response was based on IMWG 2016 criteria. Results: Across 3 cohorts, 94 pts were enrolled (Cohort 1, n=32; Cohort 2, n=32; Cohort 3, n=30). At a median follow-up of 14.4, 5.0, and 4.9 mo, 97% of pts in each cohort (n=31, 31, 29, respectively) remained on treatment. Baseline characteristics were generally balanced between cohorts with a median age of 58-59 y. Pts in Cohort 1, 2, and 3 had received a median of 15, 6, and 6 maintenance cycles, respectively. Neutropenia and infections were the most common Grade 3/4 treatment-emergent AEs (TEAEs). Compared with Cohort 1, the cumulative incidence of any grade and Grade 3/4 neutropenia at 4 mo showed a decreased trend in Cohorts 2 and 3 with less frequent Tec dosing (Cohort 1: any grade/Grade 3/4 incidence, 69%/66%; Cohort 2: 44%/41%; Cohort 3: 37%/28%). A similar trend was observed for all grade infections with less frequent Tec dosing (Cohort 1: 78%; Cohort 2: 63%; Cohort 3: 61%). Among 68/94 (72.3%) pts who had any grade hypogammaglobulinemia, 63/68 (92.6%) received ≥1 dose of IVIg. The overall CRS rate was 43.6%, with 6.4% Grade 2 and no high-grade events. The CRS rate following the first treatment dose of Tec (1.5 mg/kg) was low at 7.4%. No ICANS were reported. TEAEs led to treatment discontinuations in 2 pts (1 each in Cohorts 2 and 3) and death in 1 pt (Cohort 2; due to COVID-19 during C1, prior to the start of Len). In Cohort 1, all 28 pts with MRD assessments at 12 mo were in MRD negative CR. Among MRD positive pts at study entry, 10 (100%) converted to MRD negative CR during treatment. Among 16 pts who had Conclusions: Overall, Tec-Len and Tec can be safely administered as maintenance therapy following ASCT in NDMM. Cohorts 2 and 3 showed a trend for improved early safety outcomes with less frequent Tec dosing compared with Cohort 1. Tec-Len demonstrated deepening of responses and 100% MRD negative CR rate at 12 mo in Cohort 1 evaluable pts. These data informed the randomized part of MajesTEC-4/EMN30, which is actively enrolling.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,013

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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.

Tête enseignante Opus0,026
Tête enseignante GPT0,299
Écart entre enseignants0,273 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations27
Publié2024
Routes d'admission1
Résumé présentoui

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