Sustained Minimal Residual Disease (MRD) Negativity and Clinical Efficacy in Transplant-Ineligible (TIE) Newly Diagnosed Multiple Myeloma (NDMM) Patients (Pts) Treated with Daratumumab-Based Regimens: Analysis of Maia and Alcyone
Bibliographic record
Abstract
Introduction: Daratumumab (DARA) is a human IgGκ monoclonal antibody targeting CD38 with a direct on-tumor and immunomodulatory mechanism of action, and has been approved across lines of therapy for the treatment of multiple myeloma. The addition of DARA to standard-of-care (SoC) regimens, lenalidomide and dexamethasone (D-Rd) and bortezomib, melphalan, and prednisone (D-VMP), in the phase 3 MAIA and ALCYONE clinical studies reduced the risk of disease progression or death by ≥44%, nearly doubled the rate of complete response (CR) or better, and induced a >3-fold increase in MRD-negativity rates (10-5 sensitivity threshold) vs SoC alone in pts with TIE NDMM. In both MAIA and ALCYONE, MRD negativity was associated with longer progression-free survival (PFS), irrespective of trial treatments. MRD negativity provides an index of deep clinical response and may be a more robust evaluation of disease control if sustained over time. Here, we evaluate MRD negativity, including sustained MRD negativity, in pts with TIE NDMM from MAIA and ALCYONE and its association with PFS with longer follow-up. Methods: Pts with NDMM ineligible for high-dose chemotherapy with stem cell transplantation due to age (≥65 years) or unacceptable coexisting conditions in MAIA and ALCYONE were randomized (1:1) to SoC ± DARA. Pts in MAIA received 28-day cycles of Rd (R: 25 mg PO on Days 1-21; d: 40 mg PO QW) ± DARA (16 mg/kg IV QW for Cycles 1-2, Q2W for Cycles 3-6, and Q4W thereafter). ALCYONE pts received up to nine 6-week cycles of VMP (V: 1.3 mg/m2 SC twice weekly during Weeks 1, 2, 4, and 5 of Cycle 1 and QW during Weeks 1, 2, 4, and 5 of Cycles 2-9; M: 9 mg/m2 PO on Days 1-4 of Cycles 1-9; and P: 60 mg/m2 PO on Days 1-4 of Cycles 1-9) ± DARA (16 mg/kg IV QW for Cycle 1, Q3W for Cycles 2-9, and Q4W for Cycles 10+). Study treatments continued until progressive disease or unacceptable toxicity. MRD was assessed in MAIA and ALCYONE in all pts who achieved a CR or stringent CR. For ≥CR pts, additional MRD assessments occurred at 12, 18, 24, and 30 months after the first dose in ALCYONE and at 12, 18, 24, 30, 36, 48, and 60 months in MAIA. MRD was assessed via next-generation sequencing using the clonoSEQ® assay (v.2.0; Adaptive Biotechnologies, Seattle, WA) at the 10-5 sensitivity threshold. Sustained MRD negativity was defined as the maintenance of MRD negativity confirmed ≥6 or ≥12 months apart with no MRD positive test in between and was evaluated in the intention-to-treat (ITT) population. Results: A total of 737 (D-Rd, n=368; Rd, n=369) pts in MAIA and 706 (D-VMP, n=350; VMP, n=356) pts in ALCYONE were randomized; median duration of follow-up was 36.4 months in MAIA and 40.1 months in ALCYONE. In both studies, DARA-based therapy improved MRD negativity vs SoC in the ITT population (D-Rd, 28.8% vs Rd, 9.2%, P<0.0001; D-VMP, 28.3% vs VMP, 7.0%, P<0.0001). MRD-negative pts had improved PFS vs MRD-positive pts in the ITT population, regardless of treatment arm. In a pooled analysis of pts from DARA (D-Rd/D-VMP) and SoC (Rd/VMP) treatment groups, MRD-negative pts had improved PFS vs pts who were MRD positive, irrespective of treatment arm. In general, baseline characteristics were comparable among pts in DARA and control treatment groups with sustained MRD negativity. A higher proportion of pts in the ITT populations of MAIA (D-Rd, n=368; Rd, n=369) and ALCYONE (D-VMP, n=350; VMP, n=356) achieved sustained MRD negativity with DARA-based therapy vs SoC for ≥6-months (D-Rd, 14.9% vs Rd, 4.3%, P<0.0001; D-VMP, 15.7% vs VMP, 4.5%, P<0.0001) and ≥12-months (D-Rd, 10.9% vs Rd, 2.4%; P<0.0001; D-VMP, 14.0% vs VMP, 2.8%, P<0.0001). PFS was prolonged in pts with sustained MRD negativity for ≥6-months and ≥12-months vs pts without sustained MRD negativity in the pooled ITT populations, regardless of treatment arm (Figure). Conclusions: DARA-based combination regimens induce higher rates of MRD-negativity and sustained MRD negativity in pts with TIE NDMM, which are associated with deep responses and improved PFS. Disclosures San-Miguel: Amgen, BMS, Celgene, Janssen, MSD, Novartis, Takeda, Sanofi, Roche, Abbvie, GlaxoSmithKline and Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees. Avet-Loiseau:Celgene and Janssen: Research Funding; Celgene, Amgen, Bristol-Myers Squibb, Sanofi, and Janssen;: Honoraria, Speakers Bureau. Paiva:Takeda: Consultancy, Honoraria, Research Funding; SkylineDx: Consultancy; Kite: Consultancy; Karyopharm: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Honoraria; Adaptive: Honoraria; Roche: Research Funding; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Research Funding. Kumar:Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Cellectar: Other; Merck: Consultancy, Research Funding; Adaptive Biotechnologies: Consultancy; Kite Pharma: Consultancy, Research Funding; MedImmune: Research Funding; Sanofi: Research Funding; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Novartis: Research Funding; Karyopharm: Consultancy; BMS: Consultancy, Research Funding; Carsgen: Other, Research Funding; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Genecentrix: Consultancy; Tenebio: Other, Research Funding; Dr. Reddy's Laboratories: Honoraria. Dimopoulos:Beigene: Honoraria; Amgen: Honoraria; Bristol-Myers Squibb: Honoraria; Janssen: Honoraria; Celgene: Honoraria; Takeda: Honoraria. Facon:Celgene, Janssen, Takeda, Amgen, Roche, Karyopharm, Oncopeptides, BMS, Sanofi: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Mateos:Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Consultancy; Pharmamar: Consultancy; Adaptive: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; EDOMundipharma: Consultancy; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Touzeau:Sanofi: Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses; Amgen: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses; Abbvie: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Research Funding; GlaxoSmithKline: Honoraria, Research Funding. Jakubowiak:AbbVie, Amgen, BMS/Celgene, GSK, Janssen, Karyopharm: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive, Juno: Consultancy, Honoraria. Usmani:Sanofi: Consultancy, Honoraria, Research Funding; Celgene: Other; Amgen: Consultancy, Honoraria, Other: Speaking Fees, Research Funding; Abbvie: Consultancy; BMS, Celgene: Consultancy, Honoraria, Other: Speaking Fees, Research Funding; GSK: Consultancy, Research Funding; Array Biopharma: Research Funding; Takeda: Consultancy, Honoraria, Other: Speaking Fees, Research Funding; Incyte: Research Funding; SkylineDX: Consultancy, Research Funding; Janssen: Consultancy, Honoraria, Other: Speaking Fees, Research Funding; Seattle Genetics: Consultancy, Research Funding; Pharmacyclics: Research Funding; Merck: Consultancy, Research Funding. Cook:Karyopharm: Honoraria; Celgene, Janssen, Takeda: Research Funding; Amgen, Bristol-Myers Squibb, Celgene, Janssen, Takeda, Roche, Sanofi: Honoraria. Cavo:BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; GlaxoSmithKline: Honoraria, Speakers Bureau; Karyopharm: Honoraria; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel accomodations, Speakers Bureau; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel accomodations, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Direc
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".