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Enregistrement W4232494473 · doi:10.1182/blood-2019-123486

Randomized Phase 2 Study of Subcutaneous Daratumumab Plus Carfilzomib/Dexamethasone Versus Carfilzomib/Dexamethasone Alone in Patients with Multiple Myeloma Who Have Been Previously Treated with Intravenous Daratumumab to Evaluate Retreatment (LYNX)

2019· article· en· W4232494473 sur OpenAlexaff
Nizar J. Bahlis, Jeffrey A. Zonder, Susan Wróblewski, Ming Qi, Thomas Renaud, Carolyn C. Jackson, Thierry Façon

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensInstitute of Cancer ResearchUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésDaratumumabMedicineCarfilzomibDexamethasoneInternal medicineMultiple myelomaOncologyAdverse effectSurgeryProteasome inhibitorBortezomib

Résumé

récupéré en direct d'OpenAlex

Background: Daratumumab is a human IgGκ monoclonal antibody targeting CD38 with a direct on-tumor and immunomodulatory mechanism of action. The intravenous (IV) formulation of daratumumab is approved in many countries for use as monotherapy in relapsed/refractory multiple myeloma (RRMM), and in combination with standard-of-care regimens in RRMM and patients with NDMM who are transplant ineligible. A subcutaneous (SC) formulation of daratumumab is currently under investigation in several ongoing studies. In the phase 3 COLUMBA study, daratumumab SC was shown to be non-inferior to daratumumab IV, demonstrating similar efficacy and pharmacokinetics, with a significantly decreased rate of infusion-related reactions and reduced administration time. The randomized phase 2 LYNX (MMY2065) study will evaluate the efficacy and safety of retreatment with subcutaneous daratumumab in patients with RRMM who were previously exposed to daratumumab IV therapy. Study Design and Methods: In this ongoing, multicenter, open-label, randomized phase 2 study, approximately 230 patients with prior exposure to daratumumab will be randomized 1:1 to receive daratumumab plus carfilzomib and dexamethasone (D-Kd) or carfilzomib and dexamethasone (Kd) alone. Patients must have received 1 to 2 prior lines of therapy (at least one of which included daratumumab IV) with the daratumumab-based therapy completed ≥3 months prior to randomization. Eligible patients must have achieved a partial response or better (as defined by International Myeloma Working Group [IMWG] criteria) to daratumumab-based therapy, with a duration of response of ≥4 months. Patients must not have discontinued daratumumab due to a daratumumab-related adverse event or received prior treatment with carfilzomib. All patients will receive 20 mg/m2 carfilzomib IV on Day 1 of Cycle 1, escalated to 70 mg/m2 on Days 8 and 15; carfilzomib 70 mg/m2 will be administered on Days 1, 8, and 15 of each 28-day cycle thereafter. Dexamethasone 40 mg will be administered (IV or PO) QW for Cycles 1-9 and then on Days 1, 8, and 15 from Cycle 10 onwards. Patients in the D-Kd group will also receive daratumumab SC (1,800 mg co-formulated with recombinant human hyaluronidase PH20 [rHuPH20; 2,000 U/mL; ENHANZE® drug delivery technology, Halozyme, Inc.]) QW in Cycles 1-2, Q2W in Cycles 3-6, and Q4W thereafter. The primary endpoint is the rate of patients achieving a very good partial response or better. Secondary endpoints include overall response rate, rate of patients achieving complete response or better, progression-free survival, overall survival, overall MRD-negativity rate, time to next treatment, pharmacokinetics, and safety. The ClinicalTrials.gov identifier is NCT03871829. Disclosures Bahlis: Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Zonder:Celgene Corporation: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Intellia: Consultancy, Membership on an entity's Board of Directors or advisory committees; Caelum: Consultancy, Membership on an entity's Board of Directors or advisory committees; Alnylam: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Consultancy, Membership on an entity's Board of Directors or advisory committees. Wroblewski:Janssen: Employment, Equity Ownership. Qi:Janssen: Employment. Renaud:Janssen: Employment, Equity Ownership. Jackson:Janssen: Employment, Equity Ownership. Facon:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees. OffLabel Disclosure: This presentation/paper includes information/discussion of a subcutaneous formulation of daratumumab, which is currently under investigation in several clinical trials, but has not yet been approved. The intravenous formulation of daratumumab is approved as monotherapy and in combination with standard-of-care regimens for the treatment of MM.

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)0,003
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,036

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0030,001
Méta-épidémiologie (sens large)0,0040,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0110,002

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 Opus0,019
Tête enseignante GPT0,295
Écart entre enseignants0,275 · 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'étudeEssai randomisé
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

Citations3
Publié2019
Routes d'admission1
Résumé présentoui

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