Phase 3 Randomized Study of Daratumumab Plus Lenalidomide and Dexamethasone (D-Rd) Versus Lenalidomide and Dexamethasone (Rd) in Patients with Newly Diagnosed Multiple Myeloma (NDMM) Ineligible for Transplant (MAIA)
Notice bibliographique
Résumé
Abstract Introduction Lenalidomide-based therapies are a standard of care for patients with newly diagnosed, transplant-ineligible MM. Daratumumab (DARA) is a human, CD38-targeted, IgG1κ monoclonal antibody which has single-agent activity in heavily pretreated MM patients. As previously reported in 3 phase 3 studies, the addition of DARA to standards of care in both relapsed refractory (D-Rd, DARA plus bortezomib and dexamethasone [D-Vd]) or transplant-ineligible NDMM (DARA plus bortezomib, melphalan, and prednisone [D-VMP]) resulted in a ≥50% reduction in the risk of disease progression or death (Palumbo A, et al. N Engl J Med 2016;375:754-766; Dimopoulos MA, et al. N Engl J Med 2016;375:1319-1331; Mateos MV, et al. N Engl J Med 2018;378:518-528). Of these, the POLLUX study with D-Rd showed the greatest benefit with a 63% reduction in risk of disease progression or death in patients with MM who had at least one prior line of therapy. Based on the efficacy and tolerable safety profile of D-Rd, we conducted a phase 3 study (MAIA) to evaluate D-Rd vs Rd in transplant-ineligible NDMM. Here we report the prespecified interim analysis of the MAIA study. Methods Patients ineligible for high-dose chemotherapy with autologous stem cell transplantation due to age ≥65 years or comorbidities were randomized 1:1 to Rd ± DARA. Stratification was based on International Staging System stage (ISS [I, II, III]), region (North America vs other), and age (<75 vs ≥75 years). All patients received 28-day cycles of treatment with Rd ± DARA. R: 25 mg (oral) QD on Days 1-21; d: 40 mg (oral) on Days 1, 8, 15 and 22. In the D-Rd arm, DARA was given at 16 mg/kg (intravenously) QW for Cycles 1-2, Q2W for Cycles 3-6, and Q4W thereafter. In both arms, patients were treated until disease progression or unacceptable toxicity. The primary endpoint was progression-free survival (PFS). Key secondary endpoints included overall response rate (ORR), minimal residual disease (MRD)-negativity rate (10-5 sensitivity, clonoSEQ® version 2.0), and safety. Results This international study randomized 737 patients (368 to D-Rd; 369 to Rd) from 14 countries. Key baseline characteristics were well balanced between the two arms. The median (range) age was 73 (45-90) years with 44% of patients ≥75 years, and 52% were male. Two thirds of patients had ECOG scores ≥1: ECOG score 0, 34%; 1, 50%; ≥2, 17%. Overall, 27%, 43%, and 29% were ISS stage I, II, and III, respectively. Of 642 patients evaluable for FISH/karyotyping analysis, 86% and 14% were standard and high cytogenetic risk, respectively. The prespecified interim analysis occurred after 239 PFS events on 24 September 2018 with a median follow up of 28 months. For the primary endpoint, the hazard ratio was 0.55 (95% CI, 0.43 to 0.72; P <0.0001), representing a 45% reduction in the risk of progression or death in patients treated with D-Rd (Figure). The median PFS for the Rd arm was 31.9 months and not reached for the D-Rd arm. Adding DARA to Rd resulted in deeper responses with a complete response (CR) or better rate of 47.6% in the D-Rd arm compared with 24.7% in the Rd arm (odds ratio [OR] 2.75, 95% CI, 2.01 to 3.76; P <0.0001). The very good partial response (VGPR) or better rate was 79.3% in the D-Rd arm compared with 53.1% in the Rd arm (OR 3.4, 95% CI, 2.45 to 4.72; P <0.0001). A total of 19% of patients have died and the HR for OS was 0.78 (95% CI, 0.56 to 1.1); follow-up is ongoing. Higher rates (5% or more difference) of grade 3/4 pneumonia, neutropenia, and leukopenia were observed in the D-Rd arm. The safety profile is consistent with previously reported DARA studies. The complete topline data set will be presented with additional efficacy endpoints, including MRD negativity rate. Conclusion The addition of DARA to Rd in patients with transplant-ineligible NDMM significantly reduced the risk of progression or death by 45%. There are no new safety signals using DARA plus Rd in NDMM. These data together with the phase 3 ALCYONE study (D-VMP vs VMP) support the addition of DARA to standard of care combinations in patients with NDMM ineligible for transplant. Disclosures Facon: Sanofi: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees. Kumar:KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding. Plesner:Celgene: Other: Independent Response Assessment Comittee; Janssen: Consultancy. Orlowski:Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Kite Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sanofi-Aventis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BioTheryX: Research Funding; Spectrum Pharma: Research Funding. Moreau:Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Bahlis:Amgen: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding. Hulin:Celgene: Honoraria, Research Funding; Amgen: Honoraria; Takeda: Honoraria; Janssen: Honoraria, Research Funding. Goldschmidt:Adaptive Biotechnology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Chugai: Honoraria, Research Funding; Mundipharma: Research Funding; Novartis: Honoraria, Research Funding; ArtTempi: Honoraria. O'Dwyer:Janssen: Consultancy. Perrot:Janssen: Consultancy, Equity Ownership, Honoraria. Venner:Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Amgen: Honoraria; Takeda: Honoraria. Weisel:Celgene: Consultancy; Angeb: Consultancy, Honoraria, Research Funding; Juno: Consultancy; Takeda: Consultancy, Honoraria; Sanofi: Consultancy, Research Funding; Bristol Myers SquibbMS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding. Ahmadi:Genmab: Employment, Equity Ownership. Chiu:Janssen Research & Development, LLC: Employment, Equity Ownership. Wang:Janssen Research & Development, LLC: Employment. Van Rampelbergh:Janssen: Employment. Uhlar:Janssen: Employment. Kobos:Janssen Research & Development: Employment. Qi:Janssen Research & Development, LLC: Employment. Usmani:Abbvie, Amgen, Celgene, Genmab, Merck, MundiPharma, Janssen, Seattle Genetics: Consultancy; Amgen, BMS, Celgene, Janssen, Merck, Pharmacyclics,Sanofi, Seattle Genetics, Takeda: Research Funding.
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 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
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.
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 ».