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Enregistrement W2984791646 · doi:10.1182/blood-2020-141087

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

2020· article· en· W2984791646 sur OpenAlexaffabout
Michaël Sébag, Nizar J. Bahlis, Christopher P. Venner, Arleigh McCurdy, C. Tom Kouroukis, Jesse Shustik, Rami Kotb, Darrell White, Julie Stakiw, Nicole Laferriere, Tony Reiman, Fernando Camacho, Molei Fu, Engin Gul, Donna Reece

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensUniversity of New BrunswickThunder Bay Regional Research InstituteDalhousie UniversityPrincess Margaret Cancer CentreUniversity of CalgaryThunder Bay Regional Health Sciences CentreUniversity Health NetworkOttawa HospitalCancerCare ManitobaMcGill University Health CentreJuravinski Cancer CentreSaint John Regional HospitalBC Cancer AgencyQueen Elizabeth II Health Sciences CentreUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésPomalidomideMedicineLenalidomideDaratumumabDexamethasoneInternal medicineCyclophosphamideClinical endpointRegimenMultiple myelomaProgressive diseaseRefractory (planetary science)OncologySurgeryGastroenterologyUrologyClinical trialChemotherapyBiology

Résumé

récupéré en direct d'OpenAlex

Lenalidomide (Len) has become the standard first line therapeutic choices for Multiple Myeloma (MM), whether as first line for transplant ineligible patients or as maintenance post transplant. Therapies that are designed to overcome lenalidomide refractory disease are few and often give disappointing results. We previously reported the efficacy of daratumumab in combination with low dose weekly cyclophosphamide and dexamethasone with and without pomalidomide (Pom). In patients previously treated with both Proteosome Inhibitors (PIs) and Len the combination of Dara, Cyclophosphamide, Dex and pomalidomide (DCdP) produced impressive response rates. Although the same combination without the Pom had appreciably lower response rates and initial progression free survival (PFS), most patients were salvageable after the addition of Pom. Here we report an update on this trial. Patients/Methods In this phase II clinical trial, 120 patients with relapsed refractory MM, 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 Pom added only after confirmed disease progression (Arm B). All patients were exposed to PIs and Len prior to study entry. The primary endpoint of this study was the comparison of the PFS of Arm A to that 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 will be reported separately. Results As of 1 June 2020 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% Len exposed; 93% PI exposed; 90% Len and PI exposed; 25% carfilzomib exposed, Len was the last line of therapy in 65%. Median follow-up was 19 months (range 1-28), median number of cycles 16 (range 1-31). The overall response rates (ORR) were 88.6% for arm A compared with 50.8% for arm B, with 62.4% and 28.8% of patients achieving ≥VGPR in arm A and B respectively. 43 patients in Arm B have progressed by data cut-off and the ORR after adding pomalidomide was 55.8% with a median follow up time 6.6 months. The response rates for both Arm A and B (prior to Pom) did not vary much in patients in whom Len was the last line of therapy (94.5% vs 55.7%), compared to the ITT population. The response rate after the addition of Pom to Arm B patients after first progression was also similar in patients in whom Len was used last (58.3%). The median PFS of Arm A was an impressive 20.5 months (regardless of previous Len exposure) while it was considerably shorter for Arm B prior to addition of Pom at 11.5 months and 16.7 months overall after addition of Pom. Median OS has not yet been reached, however, time to subsequent therapies from randomization was similar in both groups at 18.1 (Arm A) and 20.2 months (Arm B). Rates of grade 3/4 hematologic toxicities included a high incidence of neutropenia, 85.2% in Arm A and 50.8% in Arm B overall; however, the rates of febrile neutropenia were low at 13.1% and 16.9% respectively. The most common infection was pneumonia, seen in 13% of Arm A and 6.8% of Arm B prior to Pom and 20.3% overall for Arm B. Conclusions The results of this randomized phase II trial demonstrate that in a highly pretreated MM population (2 lines of therapy but range 1-8) that the four-drug combination (DCdP) confers impressive ORR (88.6%) and a median PFS (20.5 months) that compares favourably to other studies with anti-CD38 antibodies combined with Pomalidomide (11.5 months for Isatuximab-Pom-Dex, albeit in patients with 3 median lines of prior therapy). In Len exposed patients, DCdP demonstrates an ORR of 93% and a PFS of 20.5 months which is similar to what has been reported recently in Len exposed patients with Dara-pom-dex but after only one previous line of therapy. Although the 3 combination (DCd) showed an inferior initial response rate, over half of patients recaptured a response after the addition of Pom. Finally, while the overall PFS is lower in Arm B, the times to subsequent therapies are so far similar in both arms of this study opening a sequential-based approach as a feasible and economic option for further study. Disclosures Sebag: Celgene: Honoraria; Takeda: Honoraria; Amgen: Honoraria; Janssen: Honoraria, Research Funding. Bahlis:Genentech: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Karyopharm Therapeutics: Consultancy, Honoraria; GSK: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; BMS/Celgene and Janssen: Consultancy, Honoraria, Other: Travel, Accomodations, Research Funding; Sanofi: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Venner:Celgene, Amgen: Research Funding; Janssen, BMS/Celgene, Sanofi, Takeda, Amgen: Honoraria. McCurdy:Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; GSK: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Sanofi: Honoraria. Shustik:Celgene: Honoraria; Janssen: Honoraria; Amgen: Honoraria; Takeda: Honoraria. Kotb:Amgen: Honoraria; Celgene: Honoraria; Sanofi: Research Funding; Karyopharm: Current equity holder in publicly-traded company; Merck: Honoraria, Research Funding; Janssen: Honoraria; Takeda: Honoraria. White:Takeda: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Stakiw:BMS: Honoraria; Janssen: Honoraria, Research Funding; Novartis: Honoraria; Amgen: Honoraria; Celgene: Honoraria; Roche: Research Funding; Lundbeck: Honoraria. Laferriere:Takeda: Honoraria; Amgen: Honoraria; Janssen: Honoraria; Celgene: Honoraria. Camacho:Janssen: Consultancy; AbbVie: Consultancy; Bausch-Health: Consultancy. Reece:Otsuka: Research Funding; Merck: Honoraria, Research Funding; Janssen, Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Janssen, Bristol-Myers Squibb, Amgen, Takeda: Consultancy, Honoraria.

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 enseignants0,008
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0030,002
Méta-épidémiologie (sens large)0,0040,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,003
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0080,002

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 Opus0,038
Tête enseignante GPT0,322
Écart entre enseignants0,284 · 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

Citations7
Publié2020
Routes d'admission2
Résumé présentoui

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