Daratumumab Plus Lenalidomide and Dexamethasone in Patients with Transplant-Ineligible Newly Diagnosed Multiple Myeloma: Maia Age Subgroup Analysis
Notice bibliographique
Résumé
Introduction: Daratumumab (DARA) is a human IgGκ monoclonal antibody targeting CD38 with a direct on-tumor and immunomodulatory mechanism of action. DARA is approved in combination with standard of care in patients (pts) with newly diagnosed multiple myeloma (NDMM) and as monotherapy and in combination with standard of care for pts with relapsed/refractory multiple myeloma. In the randomized, phase 3 MAIA study (NCT02252172), DARA plus lenalidomide and dexamethasone (D-Rd) versus lenalidomide and dexamethasone (Rd) alone was evaluated in transplant-ineligible pts with NDMM. In the primary analysis of MAIA (median follow-up, 28.0 months), D-Rd significantly improved progression-free survival (PFS) versus Rd alone (Facon T, N Engl J Med 2019). Additionally, D-Rd significantly prolonged PFS versus Rd for pts aged ≥75 years (median, not reached [NR] vs 31.9 months; hazard ratio [HR], 0.63; 95% confidence interval [CI], 0.44-0.92; P = 0.0146; Usmani SZ, ASCO 2019). In an analysis of overall survival (OS; median follow-up, 56.2 months), D-Rd showed a significant reduction in the risk of death versus Rd alone (HR, 0.68; 95% CI, 0.53-0.86; P = 0.0013; Facon T, Lancet Oncol 2021). Here, we present a subgroup analysis of MAIA pts aged <75 years, <70 years, and ≥70 to <75 years. Methods: Pts with NDMM ineligible for high-dose chemotherapy with autologous stem cell transplant were randomized 1:1 to receive D-Rd or Rd alone. All pts received 28-day cycles of lenalidomide (R: 25 mg orally on Days 1-21) and dexamethasone (d: 40 mg orally on Days 1, 8, 15, and 22) with or without DARA (16 mg/kg intravenously once weekly in Cycles 1-2, once every 2 weeks in Cycles 3-6, and once every 4 weeks thereafter) until disease progression or unacceptable toxicity. The primary endpoint was PFS. Key secondary endpoints included overall response rate (ORR), OS, and minimal residual disease (MRD)-negativity rate (10-5 sensitivity, clonoSEQ® version 2.0). Results: Of 737 randomized pts (D-Rd, n = 368; Rd, n = 369), 416 (56%) pts were aged <75 years (D-Rd, n = 208; Rd, n = 208), 155 (21%) pts were aged <70 years (D-Rd, n = 78; Rd, n = 77), and 261 (35%) pts were aged ≥70 to <75 years (D-Rd, n = 130; Rd, n = 131). At a median follow-up of 64.5 months, PFS was improved for pts receiving D-Rd versus Rd who were aged <75 years (median, NR vs 37.5 months; HR, 0.52; 95% CI, 0.39-0.68; P <0.0001; Figure A), <70 years (median, NR vs 39.2 months; HR, 0.35; 95% CI, 0.21-0.56; P <0.0001), and ≥70 to <75 years (median, 61.9 vs 37.5 months; HR, 0.64; 95% CI, 0.45-0.89; P = 0.0079; Figure B). The estimated 60-month PFS rates were higher for pts receiving D-Rd versus Rd across all subgroups: <75 years (57.4% vs 33.6%), <70 years (67.2% vs 28.7%), and ≥70 to <75 years (51.6% vs 36.6%). OS was also improved for pts receiving D-Rd versus Rd who were aged <75 years (HR, 0.59; 95% CI, 0.43-0.83; P = 0.0017), <70 years (HR, 0.50; 95% CI, 0.27-0.90; P = 0.0179), and ≥70 to <75 years (HR, 0.64; 95% CI, 0.43-0.96; P = 0.0274). The estimated 60-month OS rates were higher for pts receiving D-Rd versus Rd across all subgroups: <75 years (73.9% vs 58.8%), <70 years (79.9% vs 61.7%), and ≥70 to <75 years (70.3% vs 57.0%). The ORR was higher for D-Rd versus Rd in pts aged <75 years (95.2% vs 81.7%; P <0.0001), <70 years (93.6% vs 80.5%; P = 0.0156), and ≥70 to <75 years (96.2% vs 82.4%; P = 0.0004). Increased rates of MRD negativity (10-5) were observed with D-Rd versus Rd in pts aged <75 years (36.1% vs 12.0%; odds ratio [OR], 4.13; 95% CI, 2.49-6.84; P <0.0001), <70 years (35.9% vs 11.7%; OR, 4.23; 95% CI, 1.84-9.75; P = 0.0006), and ≥70 to <75 years (36.2% vs 12.2%; OR, 4.07; 95% CI, 2.16-7.67; P <0.0001). Conclusions: At a median follow-up of 64.5 months, D-Rd improved efficacy versus Rd alone in subgroups of pts aged <75, <70, and ≥70 to <75 years. D-Rd demonstrated clinically meaningful benefit across all endpoints, including PFS, OS, ORR, and MRD negativity. These results, along with those presented previously (Usmani SZ, ASCO 2019), support the frontline use of DARA-based combination regimens in pts aged <75 years and ≥75 years with transplant-ineligible NDMM. 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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,013 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».