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Enregistrement W4405043193 · doi:10.1182/blood-2024-200336

Belantamab Mafodotin, Bortezomib, and Dexamethasone Vs Daratumumab, Bortezomib, and Dexamethasone in Relapsed/Refractory Multiple Myeloma: Overall Survival Analysis and Updated Efficacy Outcomes of the Phase 3 Dreamm-7 Trial

2024· article· en· W4405043193 sur OpenAlexaff
Vânia Hungria, Paweł Robak, Marek Hus, Vera Zherebtsova, Christopher Wård, Phoebe Joy Ho, Roman Hájek, Kihyun Kım, Sebastian Grosicki, Hanlon Sia, Adam Bryant, Marcelo Pitombeira de Lacerda, Gracia Martınez, Anna Sureda Balarí, Irwindeep Sandhu, Claudio Cerchione, Peter Ganly, Meletios Α. Dimopoulos, Chengcheng Fu, Mamta Garg, Al-Ola Abdallah, Moshe E. Gatt, Albert Oriol, Michèle Cavo, Robert M. Rifkin, Tomoaki Fujisaki, Michał Mielnik, Nick Pirooz, Astrid McKeown, Rachel Rogers, Hena Baig, Lydia Eccersley, Sumita Roy–Ghanta, María‐Victoria Mateos

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensGlaxoSmithKline (Canada)
Organismes subventionnairesnon disponible
Mots-clésDaratumumabBortezomibDexamethasoneMedicineMultiple myelomaInternal medicineOncologyRefractory (planetary science)LenalidomideBiology

Résumé

récupéré en direct d'OpenAlex

Patients with multiple myeloma (MM) are initially treated with triplet or quadruplet combination regimens that include proteasome inhibitors, immunomodulators, and anti-CD38 monoclonal antibodies. However, most patients with MM experience progression after initial treatment and need efficacious subsequent-line combinations that incorporate new drug classes. Multiple studies in this relapsed/refractory MM population have shown progression-free survival (PFS) benefit; however, it is important that this translates into overall survival (OS) benefit for patients, as OS considers both efficacy and safety. Currently, daratumumab-containing regimens are widely used in this setting because triplet daratumumab combinations have shown significant PFS and OS benefits compared with their respective doublet backbones without daratumumab. Belantamab mafodotin, a B-cell maturation antigen-targeting antibody-drug conjugate, has demonstrated single-agent sustained maintenance of deep and durable response with longer follow-up, owing to its multimodal mechanism of action that includes monomethyl auristatin F-induced cytotoxic cell death, antibody-dependent cellular cytotoxicity/phagocytosis, and immunogenic cell death. This has led to improvement in long-term clinical outcomes, including duration of response (DOR). Therefore, we anticipate that belantamab mafodotin in combination with standard-of-care therapies will show increasing OS benefit with longer follow-up. DREAMM-7 (NCT04246047) is a global, 1:1 randomized, open-label, phase 3, head-to-head trial comparing the efficacy and safety of 2 triplets-belantamab mafodotin, bortezomib, and dexamethasone (BVd) vs daratumumab, bortezomib, and dexamethasone (DVd)-in patients with progression of MM after ≥1 prior line of therapy. The primary endpoint was independent review committee-assessed PFS. Secondary endpoints included OS, DOR, minimal residual disease (MRD) negativity, and time from randomization to disease progression after subsequent antimyeloma therapy or death from any cause (PFS2) (Hungria et al. N Engl J Med 2024). In total, 494 patients were randomly assigned to receive BVd (n=243) or DVd (n=251). Baseline characteristics were balanced; overall, 51% of patients had received 1 previous line of therapy, 52% had exposure to lenalidomide, 34% had disease that was refractory to lenalidomide, and 28% had high-risk cytogenetic abnormalities. At a median follow-up of 28.2 months (range, 0.1-40.0 months), the primary endpoint was met, with a median PFS (95% CI) of 36.6 months (28.4 months-not reached [NR]) with BVd and 13.4 months (11.1-17.5 months) with DVd (hazard ratio [HR], 0.41; 95% CI, 0.31-0.53; P<.00001). BVd was associated with higher rates of complete response or better plus MRD negativity (25% vs 10%) and a more favorable restricted mean DOR (P<.001) than DVd. The median DOR (95% CI) was 35.6 months (30.5 months-NR) with BVd and 17.8 months (13.8-23.6 months) with DVd. Treatment benefits with BVd were also maintained after subsequent antimyeloma therapy, with an HR (95% CI) for median PFS2 of 0.56 (0.41-0.76). OS rates at 18 months with BVd vs DVd was 84% vs 73%, respectively. While median OS was NR in either arm at this first interim analysis, there was a strong trend in favor of BVd vs DVd, with an HR of 0.57 (95% CI, 0.40-0.80). Of note, in the CASTOR trial, median OS with DVd was 49.6 months in patients with a median of 2 prior lines of therapy. We will present the results from the second planned interim analysis of DREAMM-7, with an approximate 3.3 years of follow-up; this will provide further insight on the potential survival benefit with BVd and include updates on response depth, DOR, MRD-negativity rates, and PFS2. Overall, the DREAMM-7 head-to-head study of BVd vs DVd demonstrated statistically significant PFS benefit with BVd in patients with relapsed/refractory MM who have received ≥1 prior line of therapy. BVd also led to a deeper response and longer DOR than DVd. Since a strong and clinically meaningful early OS benefit with BVd was observed, updated practice-changing OS results are anticipated and will be presented at ASH 2024. Taken together, these results support BVd as a potential new standard of care in MM at first relapse or later. Funding: GSK (Study # 207503) Drug linker technology licensed from Seagen Inc.; monoclonal antibody produced using POTELLIGENT Technology licensed from BioWa.

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)0,003
score de la tête « metaresearch » (Gemma)0,002
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 enseignants0,003
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,003
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,023
Tête enseignante GPT0,318
Écart entre enseignants0,295 · 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

Citations14
Publié2024
Routes d'admission1
Résumé présentoui

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