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Enregistrement W4232774961 · doi:10.1182/blood-2019-124457

A Randomized Phase II, Open Label, Study of Daratumumab, Weekly Low-Dose Oral Dexamethasone and Cyclophosphamide with or without Pomalidomide in Patients with Relapsed and Refractory Multiple Myeloma

2019· article· en· W4232774961 sur OpenAlexaffabout
Michaël Sébag, Nizar J. Bahlis, Christopher P. Venner, Arleigh McCurdy, C. Tom Kouroukis, Jesse Shustik, Darrell White, Rami Kotb, Julie Stakiw, Nicole Laferriere, Tony Reiman, Fernando Camacho, Julia Dobbin, Molei Fu, Engin Gul, Donna Reece

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensPrincess Margaret Cancer CentreUniversity of CalgaryThunder Bay Regional Health Sciences CentreOttawa HospitalCancerCare ManitobaQueen Elizabeth II Health Sciences CentreUniversity of New BrunswickDalhousie UniversityUniversity of OttawaMcGill University Health CentreJuravinski Cancer CentreSaint John Regional HospitalBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésPomalidomideDaratumumabMedicineDexamethasoneLenalidomideInternal medicineCyclophosphamideOncologyMultiple myelomaRegimenPharmacologySurgeryChemotherapy

Résumé

récupéré en direct d'OpenAlex

Introduction As lenalidomide (Len) has become an integral part of therapy for newly diagnosed MM patients, most will have been either exposed or refractory to Len at the time of first or second relapse. The monoclonal antibody, Daratumumab, in combination with the more potent IMID pomalidomide (Pom) demonstrates good responses in patients previously exposed to lenalidomide. Low dose weekly cyclophosphamide has been shown to enhance the potency of pomalidomide in association with dexamethasone. In this clinical trial, we set out to compare the combination of daratumumab, weekly low dose cyclophosphamide, dexamethasone and pomalidomide (DCdP) to daratumumab, cyclophosphamide and dexamethasone (DCd) with pomalidomide added only at disease progression. Although we expected that a four-drug regiment would give superior clinical results, we hypothesized that a significant number of patients would not necessarily need all four drugs but could benefit from the addition of pomalidomide at treatment failure. Patients/Methods In this phase II clinical trial 120 patients with relapsed refractory myeloma, after at least one line of therapy, were randomized to receive either daratumumab (16mg/kg) weekly IV C1-2, every 2 weeks C3-6, monthly C7+, dexamethasone 40mg po weekly, cyclophosphamide 400mg po weekly and pomalidomide 4mg po days 1-21 of 28 day cycles (Arm A) or the same doses and dosing regimen of daratumumab, cyclophosphamide and dexamethasone but with pomalidomide added only after confirmed disease progression (Arm B). All patients had to be exposed to proteasome inhibitors and len prior to study entry. The primary endpoint of this study is the comparison of the PFS of Arm A and the PFS of Arm B after the addition Pom (PFS2) at 36 months while secondary endpoints included overall responses, duration of responses, survival and safety. Correlative laboratory studies are also planned. Results As of 1 April 2019 all 120 patients have been enrolled in 11 sites across Canada. The patient characteristics were: median age 65 (range 39-82); median 2 prior lines of therapy (range 1-8); 70% had a previous ASCT; 95% lenalidomide exposed; 93% proteasome inhibitor exposed; 90% lenalidomide and PI exposed; 25% carfilzomib exposed, len was the last line of therapy in 65%. Median follow-up was 8.2 months (range 1-15.6), median number of cycles 8 (range 1-17). The overall response rates (ORR) were 88.5% for arm A compared with 50.8% for arm B, with 57.4% and 25.4% of patients achieving ≥VGPR in arm A and B respectively. Among the 20 patients in Arm B that had progressed by data cutoff, the ORR after adding pomalidomide was 40% albeit with the short follow up time of 3.4 months. Although the median PFS of Arm A has not yet been reached, it was 10.9 mo. in Arm B prior to the addition of pom and 14.3 mo. from trial entry in the smaller group in whom pom was added after first progression (PFS2). In Arm A the 9- month PFS was 83%. Rates of grade 3/4 hematologic toxicities included a high incidence of neutropenia, 74% in Arm A and 30% in Arm B; however the rates of febrile neutropenia were low at 8.2% and 6.8% respectively. Grade 3/4 thrombocytopenia were 4.9% and 13.6%, respectively. The most common non-hematologic toxicity was pneumonia in 18% and 16.9% in arms A and B, respectively. Conclusions The results of this randomized phase II trial demonstrate that in a moderately pretreated MM population (median 2 lines of therapy but range 1-8) that the four-drug combination (DCdP) confers impressive response rates (ORR 88.5%) and a 9-month PFS of 83%. Although the three-drug combination (DCd) showed an inferior response rate of 50%, this is superior to Daratumumab used as a single agent in a similar patient population and so far at least 40% of patients who have progressed appear salvageable showing responses upon addition of Pom. Moreover, the addition of low dose cyclophosphamide, an alkylator with recognized immune properties, appears to enhance ORR and produce a durable PFS even when compared to Dara-pom-dex combinations used after two lines of therapy. Toxicities were principally hematologic and few resulted in treatment discontinuations. Disclosures Sebag: Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Bahlis:Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria. Venner:Celgene: Research Funding; Amgen: Honoraria, Research Funding; Janssen: Honoraria; Takeda: Honoraria. McCurdy:Celgene: Honoraria; Janssen: Honoraria. Shustik:Takeda: Honoraria; Amgen: Honoraria; Janssen: Honoraria; Celgene: Honoraria. White:Sanofi: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Kotb:Karyopharm: Equity Ownership; Amgen: Honoraria; Merck: Honoraria, Research Funding; Celgene: Honoraria; Janssen: Honoraria; Takeda: Honoraria. Stakiw:Roche: Research Funding; Lundbeck: Honoraria; BMS: Honoraria; Novartis: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; Janssen: Honoraria, Research Funding, Speakers Bureau; Sanofi: Honoraria. Laferriere:Celgene: Honoraria; Taiho: Honoraria; Teva Pharm: Honoraria; ROCHE: Honoraria; Pfizer: Honoraria; Janssen: Honoraria; Takeda: Honoraria; Novartis: Honoraria; Astra Zeneca: Honoraria; Amgen: Honoraria. Camacho:Abbvie: Consultancy; Janssen: Consultancy; Baush-Health: Consultancy. Reece:Otsuka: Research Funding; BMS: Research Funding; Merck: Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Honoraria, Research Funding.

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)0,005
score de la tête « metaresearch » (Gemma)0,003
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
Métarecherche0,0050,003
Méta-épidémiologie (sens strict)0,0040,002
Méta-épidémiologie (sens large)0,0050,003
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,004
Communication savante0,0020,003
Science ouverte0,0020,001
Intégrité de la recherche0,0030,005
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 Opus0,025
Tête enseignante GPT0,316
Écart entre enseignants0,291 · 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

Citations12
Publié2019
Routes d'admission2
Résumé présentoui

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