Efficacy of Daratumumab, Lenalidomide and Dexamethasone Versus Lenalidomide and Dexamethasone Alone for Relapsed or Refractory Multiple Myeloma Among Patients with 1 to 3 Prior Lines of Therapy Based on Previous Treatment Exposure: Updated Analysis of Pollux
Notice bibliographique
Résumé
Abstract Introduction: Daratumumab is an anti-CD38 IgGκ monoclonal antibody that has been combined successfully with lenalidomide and dexamethasone. The combination of daratumumab with lenalidomide and dexamethasone (DRd) has been compared with lenalidomide and dexamethasone alone (Rd) in patients (pts) with relapsed or refractory multiple myeloma (RRMM) in a randomized phase 3 study (Dimopoulos MA, et al. N Engl J Med 2016; in press). In a pre-specified interim analysis, the DRd combination demonstrated significantly longer progression-free survival (PFS) in addition to deep and durable responses compared with the Rd arm. We performed subgroup analyses to further examine these efficacy data according to prior treatment exposure. Methods: Pts who received ≥1 prior line of therapy were randomized (1:1) to Rd (lenalidomide: 25 mg PO on Days 1-21 of each 28-day cycle; dexamethasone: 40 mg PO weekly) with or without daratumumab (16 mg/kg IV qw for 8 weeks, q2w for 16 weeks, then q4w until progression). The primary endpoint was PFS. Pts who were refractory to lenalidomide were not eligible. All analyses were performed in pts who received 1 to 3 prior lines of therapy. Results: Median follow-up was 13.5 months. Pts who were lenalidomide-naive prior to the start of study treatment (DRd, n=226; Rd, n=219) demonstrated significantly longer PFS with DRd vs Rd (median: not reached [NR] vs 18.4 months; HR, 0.36; 95% CI, 0.25-0.52; P<0.0001), with estimated 12-month PFS rates of 83.0% vs 59.9%, respectively. ORR was significantly higher with DRd vs Rd (96% vs 79%), with ≥VGPR rates of 76% vs 47% and ≥CR rates of 44% vs 21%, respectively (P<0.0001 for all). In the lenalidomide-exposed subgroup (DRd, n=46; Rd, n=45), median PFS was NR in both treatment groups (HR, 0.49; 95% CI, 0.22-1.12; P=0.0826); estimated 12-month PFS rates were 84.1% vs 63.1%, respectively. ORR was higher with DRd vs Rd but did not reach statistical significance (87% vs 71%; P=0.0729); however, rates of ≥VGPR (78% vs 38%; P=0.0001) and ≥CR (44% vs 12%; P=0.0011) were significantly improved with DRd vs Rd, respectively. For bortezomib-naive pts (DRd, n=44; Rd, n=45), PFS was significantly longer with DRd vs Rd (median: NR vs 15.8 months; HR, 0.34; 95% CI, 0.13-0.86; P=0.0170), with estimated 12-month PFS rates of 85.4% vs 69.2%, respectively. ORR was significantly higher with DRd vs Rd (98% vs 82%; P=0.0158), with trends toward increased rates of ≥VGPR (74% vs 55%; P=0.0544) and ≥CR (42% vs 23%; P=0.0576). In the bortezomib-exposed pts (DRd, n=228; Rd, n=219), median PFS was NR in DRd vs 18.4 months in Rd (HR, 0.35; 95% CI, 0.24-0.50 P<0.0001); estimated 12-month PFS rates were 82.8% vs 58.7%, respectively. Significant differences in ORR (93% vs 77%), rate of ≥VGPR (77% vs 43%) and rate of ≥CR (44% vs 19%) were observed with DRd vs Rd, respectively (P<0.0001 for all). Among bortezomib-refractory patients (DRd, n=54; Rd, n=49), the PFS benefit of DRd compared with Rd was maintained (median: NR vs 10.3 mo, respectively; HR, 0.46; 95% CI, 0.25-0.85; P=0.0117; Figure). The estimated 12-month PFS rates were 70.8% vs 44.4%, respectively. Similar to bortezomib-exposed pts, ORR (92% vs 68%; P=0.0024), rate of ≥VGPR (75% vs 36%; P=0.0001), and rate of ≥CR (46% vs 13%; P=0.0003) were all significantly higher with DRd vs Rd for bortezomib-refractory pts. Updated data will be presented at the meeting. Conclusions: Among pts who received 1 to 3 prior lines of therapy, significantly longer PFS and higher ORR were observed with DRd vs Rd among pts who previously received bortezomib or were refractory to bortezomib or were lenalidomide-naive. Higher rates of deeper responses were observed in pts who previously received lenalidomide or bortezomib. Follow-up is ongoing to assess PFS in pts who received 1 to 3 prior lines of therapy and previously received lenalidomide. These results further strengthen the significant benefit of combining daratumumab with Rd for RRMM. Figure Progression-free Survival in Bortezomib-refractory Patients who Received 1 to 3 Prior Lines of Therapy Figure. Progression-free Survival in Bortezomib-refractory Patients who Received 1 to 3 Prior Lines of Therapy Disclosures Moreau: Janssen: Honoraria, Speakers Bureau; Novartis: Honoraria; Takeda: Honoraria; Celgene: Honoraria; Amgen: Honoraria; Bristol-Myers Squibb: Honoraria. Kaufman:Pharmacyclics: Consultancy; Incyte: Consultancy; Novartis: Consultancy, Research Funding; Celgene: Consultancy, Research Funding. Sutherland:Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Lalancette:Celgene: Honoraria; BMS: Honoraria. Iida:Celgene: Honoraria, Research Funding; Janssen Pharmaceuticals: Honoraria, Research Funding. Prince:Janssen: Honoraria; Celgene: Honoraria. Cochrane:BMS: Other: Received sponsorship to attend international meetings; Novartis: Other: Received sponsorship to attend international meetings; Celgene: Other: Received sponsorship to attend international meetings; Takeda: Other: Received sponsorship to attend international meetings. Khokhar:Janssen: Employment. Guckert:Johnson & Johnson: Equity Ownership; Janssen: Employment. Qin:Janssen: Employment. Oriol:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees.
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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 | 0,004 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,005 |
| 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) | 0,002 | 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 ».