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Enregistrement 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 sur 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

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueAmyloidosis: Diagnosis, Treatment, Outcomes
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésAL amyloidosisImmunoglobulin light chainProgression-free survivalMedicineInternal medicineMultiple myelomaAmyloidosisCyclophosphamideGastroenterologyBortezomibDexamethasoneImmunologyChemotherapyAntibody

Résumé

récupéré en direct d'OpenAlex

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

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,012
Tête enseignante GPT0,222
Écart entre enseignants0,211 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations16
Publié2020
Routes d'admission1
Résumé présentoui

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