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Record W3097577984 · doi:10.1182/blood-2020-137582

Reduction in Absolute Involved Free Light Chain and Difference between Involved and Uninvolved Free Light Chain Is Associated with Prolonged Major Organ Deterioration Progression-Free Survival in Patients with Newly Diagnosed AL Amyloidosis Receiving Bortezomib, Cyclophosphamide, and Dexamethasone with or without Daratumumab: Results from Andromeda

2020· article· en· W3097577984 on OpenAlexaff
Raymond L. Comenzo, Efstathios Kastritis, Giovanni Palladini, Monique C. Minnema, Ashutosh Wechalekar, Arnaud Jaccard, Vaishali Sanchorawala, Hans C. Lee, Simon Gibbs, Peter Mollee, Christopher P. Venner, Jin Lu, Stefan Schönland, Moshe E. Gatt, Kenshi Suzuki, Kihyun Kım, María Teresa Cibeira, Meral Beksaç, Edward N. Libby, Jason Valent, Vânia Hungria, Sandy W. Wong, Michael Rosenzweig, Naresh Bumma, Dominique Chauveau, Meletios Α. Dimopoulos, NamPhuong Tran, Xiang Qin, Sandra Y. Vasey, Brenda Tromp, Brendan M. Weiss, Jessica Vermeulen, Giampaolo Merlini

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAL amyloidosisImmunoglobulin light chainProgression-free survivalMedicineInternal medicineMultiple myelomaAmyloidosisCyclophosphamideGastroenterologyBortezomibDexamethasoneImmunologyChemotherapyAntibody

Abstract

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Background: Systemic AL amyloidosis is characterized by the deposition of insoluble amyloid fibrils produced by light chains synthesized by clonal CD38+ plasma cells. Combining daratumumab (DARA) with bortezomib, cyclophosphamide, and dexamethasone (VCd) has demonstrated significantly improved outcomes in patients with AL amyloidosis. The classification of hematologic complete response (CR) in this disease is evolving, and the absolute reduction of the involved free light chain (iFLC) and the difference between iFLC and uninvolved free light chain (dFLC) are being recognized as very meaningful endpoints. Here, we present results from the ANDROMEDA study (NCT03201965) to demonstrate the impact of achieving deep reductions of iFLC and dFLC on major organ deterioration progression-free survival (MOD-PFS), a novel, key secondary endpoint in this study. Methods: Key eligibility criteria included newly diagnosed AL amyloidosis with measurable hematologic disease (serum monoclonal protein ≥0.5 g/dL by protein electrophoresis or serum free light chain ≥5.0 mg/dL with an abnormal kappa:lambda ratio or dFLC ≥50 mg/L), ≥1 involved organ, cardiac stage I-IIIA, eGFR ≥20 mL/min, and absence of symptomatic multiple myeloma. Patients were randomized (1:1) to receive DARA-VCd or VCd alone. All patients received bortezomib (1.3 mg/m2 subcutaneous [SC] weekly), cyclophosphamide (300 mg/m2 oral [PO] or intravenous [IV] weekly), and dexamethasone (20-40 mg PO or IV weekly) for six 28-day cycles. DARA SC (1800 mg, co-formulated with recombinant human hyaluronidase PH20 in 15 mL) was administered by injection weekly in Cycles 1-2, every other week in Cycles 3-6, and every 4 weeks thereafter for up to 24 cycles. Disease evaluations occurred every 4 weeks (Cycles 1-6) and every 8 weeks (after Cycle 7) until major organ deterioration, death, end of study, or withdrawal. The primary endpoint was overall (ie, at any time) hematologic CR rate, defined here as normalization of FLC levels and ratio (FLCr) and negative serum and urine immunofixation, confirmed at a subsequent visit; normalization of uninvolved FLC level and FLCr were not required if iFLC Results: A total of 388 patients were randomized to receive DARA-VCd (n=195) or VCd alone (n=193). Baseline characteristics were well balanced between treatment groups. The median age was 64 years and 65% of patients had ≥2 organs involved. The proportions of patients with heart and kidney involvement were 71% and 59%, respectively, and the proportions of patients with cardiac stage I, II, and IIIA were 23%, 40%, and 37%, respectively. The median duration of treatment was 9.6 months for DARA-VCd and 5.3 months for VCd. Median follow-up was 11.4 months (range, 0.03-21.3+). The rates of deep hematological responses by all criteria strongly favored the DARA-VCd treatment arm (Table). MOD-PFS was longer in patients achieving deep hematological responses by all criteria (Figure). In addition, the corresponding MOD-PFS was similar regardless of the hematological response criteria used. Conclusions: Regardless of the criteria used, the addition of DARA to VCd increased the rates of deep hematologic responses in patients with newly diagnosed AL amyloidosis, which, in turn, was associated with prolonged MOD-PFS. These results support the benefit of DARA in this patient population. References 1. Comenzo RL, et al. Leukemia. 2012;26(11):2317-25 2. Sidana S, et al. Leukemia. 2019;34(5):1472-75 3. Muchtar E, et al. Leukemia. 2019;33(3):790-94 4. Manwani R, et al. Blood. 2019;134(25):2271-2280 Disclosures Comenzo: Amgen: Consultancy; Sanofi: Consultancy; Prothena: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Unum: Consultancy; Karyopharm: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Caleum: Consultancy. Kastritis:Pfizer: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding; Genesis Pharma: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria. Palladini:Celgene: Other: Travel support; Jannsen Cilag: Honoraria, Other. Minnema:Celgene: Other: travel support, Research Funding; Kite, a Gilead Company: Speakers Bureau; Amgen: Consultancy; Servier: Consultancy. Wechalekar:Caelum: Other: Advisory; Janssen: Honoraria, Other: Advisory; Takeda: Honoraria, Other: Travel; Celgene: Honoraria. Jaccard: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; 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. Sanchorawala:Proclara: Other: advisory board; Abbvie: Other: advisory board; UpToDate: Patents & Royalties; Regeneron: Other: advisory board; Caleum: Other: advisory board; Janssen: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Prothena: Research Funding; Caelum: Research Funding; Oncopeptide: Research Funding. Lee:Janssen: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Genentech: Consultancy; GlaxoSmithKline: Consultancy, Research Funding; Sanofi: Consultancy; Daiichi Sankyo: Research Funding; Regeneron: Research Funding; Genentech: Consultancy; Celgene: Consultancy, Research Funding; Amgen: Consultancy, 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: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; Amgen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Caelum: Membership on an entity's Board of Directors or advisory committees. Venner:Celgene, Amgen: Research Funding; Janssen, BMS/Celgene, Sanofi, Takeda, Amgen: Honoraria. Schönland:Janssen, Prothena, Takeda: Honoraria, Other: travel support to meetings, Research Funding. Suzuki:Takeda, Amgen, Janssen and Celgene: Consultancy; Bristol-Myers Squibb, Celgene and Amgen: Research Funding; Takeda, Celgene, ONO, Amgen, Novartis, Sanofi, Bristol-Myers Squibb, AbbVie and Janssen: Honoraria. Kim:Amgen, BMS, Janssen, Sanofi, Takeda: 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:Deva: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen&janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Valent:Amgen Inc.: Other: Teaching, Speakers Bureau; Takeda Pharmaceuticals: Other: Teaching, Speakers Bureau; Celgene: Other: Teaching, Speakers Bureau. Wong:Fortis: Research Funding; GSK: Research Funding; Amgen: Consultancy; Janssen: Research Funding; Roche: Research Funding; Bristol Myers Squibb: Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees. Rosenzweig:Janssen: Speakers Bureau. Bumma:Sanofi: Speakers Bureau; Amgen: Speakers Bureau. Dimopoulos:BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau. Tran:Janssen: Current Employment, Current equity holder in publicly-traded company. Qin:J

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.222
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations16
Published2020
Admission routes1
Has abstractyes

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