Sustained Improvement in Health-Related Quality of Life in Transplant-Ineligible Patients with Newly Diagnosed Multiple Myeloma Treated with Daratumumab, Lenalidomide, and Dexamethasone Versus Lenalidomide and Dexamethasone: Update of the Phase 3 MAIA Trial
Notice bibliographique
Résumé
Abstract Introduction: Multiple myeloma (MM) is a chronic hematologic malignancy with a high symptom burden that can have a substantial negative impact on patients' (pts) health-related quality of life (HRQoL). The introduction of novel triplet regimens for newly diagnosed MM (NDMM) has extended progression-free survival (PFS) and overall survival (OS); however, adverse events and demanding administration and monitoring schedules have a further negative effect on HRQoL, especially among pts who are transplant ineligible (TIE) due to older age and/or frailty. Optimizing initial treatment is particularly important in older pts, many of whom receive only 1 line of therapy. The phase 3 MAIA trial compared daratumumab, lenalidomide, and dexamethasone (D-Rd) vs lenalidomide and dexamethasone (Rd) in TIE pts with NDMM. At a median follow-up of 28 months, D-Rd significantly prolonged PFS and was associated with faster and sustained clinically meaningful improvements in patient-reported outcomes (PROs) vs Rd. Results of an updated analysis with longer follow-up recently confirmed a significant benefit in OS with D-Rd vs Rd as well as a continued significant PFS benefit and higher rates of complete response or better and very good partial response or better. Here we present an update of the HRQoL analysis with additional follow-up. Methods: MAIA (NCT02252172) is a randomized, open-label, active controlled, multicenter, phase 3 study of TIE pts with NDMM who were randomly assigned 1:1 to receive D-Rd or Rd until disease progression (PD) or unacceptable toxicity. PROs were recorded using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30-item (EORTC QLQ-C30) and the EQ-5D-5L visual analog scale. EORTC QLQ-C30 has 30 items comprising 5 functional scales (physical, role, emotional, cognitive, and social functioning), 1 global health status (GHS) scale, 3 symptom scales (fatigue, nausea and vomiting, and pain) and 6 single items (dyspnea, insomnia, appetite loss, constipation, diarrhea, and financial difficulties). Questionnaires were completed at baseline, on day 1 of cycles 3, 6, 9, and 12 for year 1, and every 6 months thereafter until PD. Analyses were conducted on all pts with a baseline and ≥1 post-baseline PRO assessment. Pts were censored at PD or discontinuation of study treatment. Thresholds for meaningful improvement and worsening were defined a priori based on published literature (≥10-point change). Treatment effect was analyzed using a mixed-effects model for repeated measurements including baseline value, visit, treatment, visit by treatment interaction, and randomization stratification factors as fixed effects and individual subject as random effect. Results: At a median follow-up of 56.2 months, discontinuation rates were lower with D-Rd than Rd (56.8% vs 80.8%). For GHS, physical functioning, fatigue, pain, and dyspnea, PROs that are particularly relevant to pts with MM, a numerically greater proportion of pts achieved a meaningful improvement with D-Rd vs Rd (Table 1). Differences were significant for physical functioning, fatigue, and dyspnea. The proportion of pts achieving a meaningful worsening on therapy was similar in both treatment groups (Table 1). The median time to improvement was numerically shorter with D-Rd vs Rd for physical functioning and pain and with Rd vs D-Rd for GHS and fatigue; differences were not significant (Table 2). The median time to worsening of fatigue was similar between groups, numerically longer for D-Rd vs Rd for GHS, and significantly longer with D-Rd than Rd for physical functioning, pain, and dyspnea (Table 2). Median time to worsening of pain with D-Rd vs Rd was 39.43 vs 17.97 months, reflective of an additional ~21 months without worsening pain among pts treated with D-Rd. Between-group differences for least squares mean change from baseline for these 5 PROs favored D-Rd vs Rd at all assessment time points except cycle 3 for physical functioning and cycle 6 for fatigue; differences were significant at ≥1 timepoint for each scale. Conclusions: These updated PRO analyses from the MAIA study demonstrate sustained and clinically meaningful improvements in HRQoL with D-Rd vs Rd with almost 5 years of follow-up. These results are consistent with the clinical benefits of superior PFS, OS, and deep responses observed with D-Rd compared with Rd and support the use of D-Rd in older pts. Figure 1 Figure 1. Disclosures Perrot: Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene/BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Kumar: Roche-Genentech: Consultancy, Research Funding; Novartis: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding; Bluebird Bio: Consultancy; Tenebio: Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees, Research Funding; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Carsgen: Research Funding; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Antengene: Consultancy, Honoraria; Oncopeptides: Consultancy; Beigene: Consultancy; BMS: Consultancy, Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Plesner: Takeda: Research Funding; Oncopeptides: Other: Advisor, Research Funding; Genentech: Other: Advisor, Research Funding; CSL Behring: Other: Advisor; AbbVie: Other: Advisor, Research Funding; Celgene: Other: Advisor, Research Funding; Janssen: Other: Advisor, Research Funding; Genmab: Research Funding. Orlowski: Amgen, Inc., BioTheryX, Inc., Bristol-Myers Squibb, Celgene, EcoR1 Capital LLC, Genzyme, GSK Biologicals, Janssen Biotech, Karyopharm Therapeutics, Inc., Neoleukin Corporation, Oncopeptides AB, Regeneron Pharmaceuticals, Inc., Sanofi-Aventis, and Takeda P: Consultancy, Honoraria; CARsgen Therapeutics, Celgene, Exelixis, Janssen Biotech, Sanofi-Aventis, Takeda Pharmaceuticals North America, Inc.: Other: Clinical research funding; Asylia Therapeutics, Inc., BioTheryX, Inc., and Heidelberg Pharma, AG.: Other: Laboratory research funding; Asylia Therapeutics, Inc.: Current holder of individual stocks in a privately-held company, Patents & Royalties; Amgen, Inc., BioTheryX, Inc., Bristol-Myers Squibb, Celgene, Forma Therapeutics, Genzyme, GSK Biologicals, Janssen Biotech, Juno Therapeutics, Karyopharm Therapeutics, Inc., Kite Pharma, Neoleukin Corporation, Oncopeptides AB, Regeneron Pharmaceuticals, I: Membership on an entity's Board of Directors or advisory committees. Moreau: Oncopeptides: Honoraria; Sanofi: Honoraria; Janssen: Honoraria; Celgene BMS: Honoraria; Amgen: Honoraria; Abbvie: Honoraria. Bahlis: BMS/Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Genentech: Consultancy; GlaxoSmithKline: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria. Nahi: XNK Therapeutics AB: Consultancy. Hulin: Takeda: Honoraria; Sanofi: Honoraria; Celgene/BMS: Honoraria; Janssen: Honoraria; abbvie: Honoraria. Quach: CSL: Consultancy, Membership on an entity's Board of Directors or advisory committees; Antengene: Consultancy, Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Myers Squibb: Consultancy, 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; Karyopharm: 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; Janssen/Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees. Goldschmidt: Chugai: Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; BMS: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Incyte: Research Funding; Janssen: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Johns Hopkins University: Other: Grant; Molecular Partners: Research Funding; MSD: Research Funding; Mundipharma: Research Funding; Sanofi: Consultancy, Honoraria, Other: Grants and/or P
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 | 0,008 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,001 | 0,003 |
| 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 ».