Health-Related Quality of Life in Patients with AL Amyloidosis Treated with Daratumumab, Bortezomib, Cyclophosphamide, and Dexamethasone: Results from the Phase 3 Andromeda Study
Bibliographic record
Abstract
Background: Systemic AL amyloidosis is a rare disease characterized by amyloid fibril deposits, most commonly in the heart and kidneys; there are currently no health authority-approved treatments. Therapies for the treatment of multiple myeloma (MM), including bortezomib, cyclophosphamide, and dexamethasone (VCd), have been shown to improve outcomes in AL amyloidosis, but more effective therapies are needed to achieve deep and rapid hematologic responses, reverse amyloid-mediated organ dysfunction, and improve overall survival. Daratumumab is an anti-CD38 monoclonal antibody approved as monotherapy or in combination with other agents for the treatment of MM. ANDROMEDA (NCT03201965) is a randomized, open-label, active-controlled phase 3 trial of VCd ± daratumumab subcutaneous (DARA SC) in patients with newly-diagnosed AL amyloidosis. After a median follow-up of 11.4 months, the complete hematologic response rate was 53% for DARA SC + VCd (DARA-VCd) and 18% for VCd (odds ratio, 5.1; 95% CI, 3.2-8.2; P<0.0001). Here, we present patient-reported outcomes (PROs) from ANDROMEDA. Methods: Patients with newly-diagnosed AL amyloidosis with measurable hematologic disease, ≥1 involved organ, cardiac stage (Mayo 2004) I-IIIA, eGFR ≥20 mL/min, and absence of symptomatic MM were randomized 1:1 to DARA-VCd or VCd and treated for six 28-day cycles; thereafter, patients in the DARA-VCd group received DARA SC alone every 4 weeks for up to 24 cycles. PROs were assessed on Day 1 of Cycles 1-6 for both treatment groups and every 8 weeks thereafter in the DARA-VCd group. PRO assessments included the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30-item (EORTC QLQ-C30), the EuroQol 5-dimensional descriptive system (EQ-5D-5L), and Short Form-36 (SF-36). Improvements in EORTC QLQ-C30 global health status (GHS) and fatigue scale scores and SF-36 mental component summary (MCS) score were secondary endpoints. Assessment of physical functioning, symptom improvement, functional improvement, and health utility as measured by the SF-36, EORTC QLQ-C30 with supplemental symptom items, and the EQ-5D-5L were exploratory outcomes. Patients completed PRO questionnaires prior to study assessments or study drug administration. Analyses of PROs were performed on the intent-to-treat analysis set; patients without a baseline or post-baseline assessment were censored at date of randomization. Compliance with PRO assessments was calculated as the number of assessments received divided by the number of assessments expected at each time point. Descriptive statistics are provided for all PRO endpoints at each time point by treatment group. A distribution-based method was used to define worsening/improvement in scores. Time to worsening/improvement, hazard ratios, and associated 95% confidence intervals were estimated using Kaplan Meier methods and Cox proportional hazards regression. Change from baseline at each time point up to Cycle 6 (Week 24) was calculated using a mixed effects model with repeated measures with patients as a random effect and baseline value, treatment group, time (weeks), treatment-by-time interaction, and stratification factors as fixed effects. Results: A total of 388 patients were randomized (DARA-VCd, n=195; VCd, n=193). Compliance rates for all PRO questionnaires were >90% at baseline and >83% through Cycle 6. Median time to improvement was shorter and median time to worsening was longer in the DARA-VCd group than in the VCd group for EORTC QLQ-C30 GHS and fatigue scales and EQ-5D-5L visual analog scale (VAS) (Table 1). Least squares mean scores for EORTC QLQ-C30 GHS and fatigue, EQ-5D-5L VAS, and SF-36 MCS remained stable in the DARA-VCd group but worsened compared with baseline in the VCd group; between-group differences are shown in Table 2. The greatest between-group differences in PRO score changes from baseline were observed at Week 16 (Cycle 4). After Cycle 6, patients in the DARA-VCd group reported improvements in mean GHS and fatigue scores that continued while on treatment (Figure). Conclusions: Patients with AL amyloidosis treated with DARA-VCd experienced clinical improvements without any decrement in health-related quality of life over 6 cycles. Following Cycle 6, improvements in GHS and fatigue were reported in patients in the DARA-VCd group. These findings further support the value of DARA-VCd in patients with AL amyloidosis. Disclosures Sanchorawala: UpToDate: Patents & Royalties; Abbvie: Other: advisory board; Proclara: Other: advisory board; Caleum: Other: advisory board; Regeneron: Other: advisory board; Oncopeptide: Research Funding; Caelum: Research Funding; Prothena: Research Funding; Celgene: Research Funding; Janssen: Research Funding; Takeda: Research Funding. Palladini:Celgene: Other: Travel support; Jannsen Cilag: Honoraria, Other. Minnema:Servier: Consultancy; Amgen: Consultancy; Kite, a Gilead Company: Speakers Bureau; Celgene: Other: travel support, Research Funding. Jaccard:Janssen: Consultancy, Honoraria, Other: A.J. has served in a consulting or advisory role for Janssen and has received honoraria from, received research funding from, and had travel, accommodations, or other expenses paid for or reimbursed by Janssen., Research Funding; Celgene: Honoraria, Other: A.J. has served in a consulting or advisory role for Janssen and has received honoraria from, received research funding from, and had travel, accommodations, or other expenses paid for or reimbursed by Celgene., Research Funding. Lee:Janssen: Consultancy, Research Funding; Genentech: Consultancy; GlaxoSmithKline: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Genentech: Consultancy; Regeneron: Research Funding; Sanofi: Consultancy; Daiichi Sankyo: Research Funding. Gibbs:Janssen, BMS/Celgene, Amgen, Takeda, Pfizer, Caelum, Abbvie and Eidos: Membership on an entity's Board of Directors or advisory committees. Mollee:Pfizer: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees; Caelum: Membership on an entity's Board of Directors or advisory committees. Venner:Janssen, BMS/Celgene, Sanofi, Takeda, Amgen: Honoraria; Celgene, Amgen: Research Funding. Schönland:Janssen: Honoraria, Other: travel support to meetings, Research Funding; Prothena: Honoraria, Other: travel support to meetings, Research Funding; Takeda: Honoraria, Other: travel support to meetings, Research Funding. Suzuki:Bristol-Myers Squibb, Celgene and Amgen: Research Funding; Takeda, Amgen, Janssen and Celgene: Consultancy; Takeda, Celgene, ONO, Amgen, Novartis, Sanofi, Bristol-Myers Squibb, AbbVie and Janssen: Honoraria. Kim:BMS, Takeda, Amgen, Celgene, Janssen: Consultancy, Honoraria, Research Funding. Cibeira:Janssen, Akcea Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen, Celgene, Amgen: Honoraria, Other: Educational lectures. Beksac:Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Valent:Celgene: Other: Teaching, Speakers Bureau; Takeda Pharmaceuticals: Other: Teaching, Speakers Bureau; Amgen Inc.: Other: Teaching, Speakers Bureau. Wong:GSK: Research Funding; Roche: Research Funding; Janssen: Research Funding; Bristol Myers Squibb: Research Funding; Fortis: Research Funding; Amgen: Consultancy; Sanofi: Membership on an entity's Board of Directors or advisory committees. Rosenzweig:Janssen: Speakers Bureau. Bumma:Amgen: Speakers Bureau; Sanofi: Speakers Bureau. Gries:Janssen: Current Employment, Current equity holder in publicly-traded company. Fastenau:Janssen: Current Employment, Current equity holder in publicly-traded company. Tran:Janssen: Current Employment, Current equity holder in publicly-traded company. Qin:Janssen: Current Employment. Vasey:Janssen Research & Development: Current Employment, Current equity holder in publicly-traded company. Tromp:Janssen: Current Employment, Current equity holder in publicly-traded company. Weiss:Janssen: Current Employment, Current equity holder in publicly-traded company. Vermeulen:Janssen: Current Employment, Current equity holder in publicly-traded company. Comenzo:Caleum: Consultancy; Amgen: Consultancy; Janssen: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Sanofi: Consultancy; Unum: Consultancy; Karyopharm: Consultancy, Research Funding; Prothena: Consultancy, Research Funding. Kastritis:Amgen: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Genesis Pharma: Consultancy, Honoraria. Wechalekar:Takeda: Honoraria, Other: Travel; Celgene: Honoraria; Janssen: Honoraria, Other: Advisory; Caelum: Other: Advisory.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".