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Enregistrement W2904768589 · doi:10.1182/blood-2018-99-113467

Updated Results from the Phase 2 Centaurus Study of Daratumumab (DARA) Monotherapy in Patients with Intermediate-Risk or High-Risk Smoldering Multiple Myeloma (SMM)

2018· article· en· W2904768589 sur OpenAlexaff
Ola Landgren, Michèle Cavo, Ajai Chari, Yaël C. Cohen, Andrew Spencer, Peter M. Voorhees, Jane Estell, Irwindeep Sandhu, Matthew Jenner, Catherine Williams, Niels WCJ van de Donk, Meral Beksaç, Hartmut Goldschmidt, Philippe Moreau, Steven Kuppens, Rajesh Bandekar, Tobias Neff, Annelore Cortoos, Pamela L. Clemens, Ming Qi, Homer Adams, Craig C. Hofmeister

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésMedicineDaratumumabInternal medicineMultiple myelomaLenalidomideOncologyAL amyloidosisPhases of clinical researchMonoclonal gammopathy of undetermined significanceClinical trialGastroenterologyMonoclonalImmunologyAntibodyMonoclonal antibody

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Multiple myeloma (MM) evolves from precursor disorders such as monoclonal gammopathy of undetermined significance (MGUS) and SMM (Landgren O, et al. Blood 2009. 113[22]:5412-5417). Currently, there are no approved therapies for SMM, and guidelines recommend close monitoring of SMM patients (pts) and initiating treatment only upon progression to MM. However, therapeutic intervention at the SMM stage, especially in pts at higher risk of progression to MM, may yield clinical benefit and prevent the development of MM-associated complications. DARA is a CD38-targeting IgG1κ monoclonal antibody with on-tumor and immunomodulatory mechanisms of action. Based on the demonstrated efficacy and favorable safety profile of DARA monotherapy in pts with relapsed/refractory MM (RRMM; Usmani SZ, et al. Blood 2016. 128[1]:37-44), we hypothesized that DARA could delay progression from SMM to MM. A prespecified primary analysis (15.8-month median follow-up) of the phase 2 CENTAURUS study (NCT02316106) revealed that DARA monotherapy was active and well tolerated in pts with intermediate- or high-risk SMM (Hofmeister CC, et al. ASH 2017. Abstract 510). Here, we present updated data from CENTAURUS based on 10 months of additional follow-up. Methods: Eligible pts had had a confirmed diagnosis of high-risk or intermediate-risk SMM for <5 years. Pts were randomized (1:1:1) to receive 8-week cycles of DARA 16 mg/kg intravenously on 1 of 3 treatment schedules. Pts on the Long dosing schedule received DARA QW (Cycle 1), Q2W (Cycles 2-3), Q4W (Cycles 4-7), and Q8W (Cycles 8-20). On the Intermediate dosing schedule (Int), pts received DARA QW (Cycle 1) and Q8W (Cycles 2-20). Pts on the Short dosing schedule received 1 cycle of DARA QW. Rate of complete response (CR) or better and progressive disease (PD)/death rate (defined as the ratio of pts with an event [PD or death] to the total follow-up for all pts) were co-primary endpoints. CR and PD were defined per 2014 International Myeloma Working Group criteria (Rajkumar et al. Lancet Oncol 2014;15[12]:e538-e548). Biochemical progression and biochemical/diagnostic (BOD) progression were defined as previously reported (Hofmeister CC, et al. ASH 2017. Abstract 510). Results: A total of 123 pts were randomized (41 pts per arm). The median (range) age was 61.0 (31-81) years, and the median (range) time from initial SMM diagnosis to randomization was 6.83 (0.40-56.0) months. In total, 73% of pts were of IgG subtype. Median treatment duration was 25.8 months in both the Long and Int arms and 1.6 months in the Short arm (Table 1). In the Long, Int, and Short arms, 17%, 22%, and 5% of pts, respectively, discontinued treatment; reasons included PD (7%, 10%, and 0%, respectively), adverse events (AEs; 7%, 2%, and 5%, respectively), refusal of further treatment (5% in Int), withdrawal of consent (2% each in Long and Int), and death (2% in Int). At a median (range) follow-up of 25.9 (0-33.2) months, overall response and ≥CR rates were higher in the Long and Int arms than in the Short arm (Table 2); in the combined Long and Int arms, the ≥CR rate was 7%. Median PFS based on SLiM-CRAB criteria was not reached in any arm; 24-month PFS rates were 90% (Long), 82% (Int), and 75% (Short; Figure 1A). PD/death rates indicate a median PFS of ≥24 months in all arms (Table 2). Median PFS based on BOD criteria was reached in the short arm only (14.8 months); 24-month PFS rates were 78% (Long), 70% (Int), and 27% (Short; Figure 1B). Safety results are summarized in Table 1. In all arms, no hematologic treatment-emergent AE was observed in ≥10% of pts, and the rates of grade 3/4 infections were ≤5%. Deaths occurred in 1 pt (2%) in the Int arm (due to heart failure not related to DARA) and 1 pt (2%) in the Short arm (due to PD); no deaths were observed in the Long arm. No deaths occurred within 30 days of the last DARA dose. Conclusions: After median follow-up of 25.9 months, a more pronounced BOD PFS benefit was observed in the Long and Int arms compared with the Short arm. The safety profile of DARA monotherapy in SMM remains consistent with other single-agent DARA studies, and no new safety signals were observed with longer follow-up. Because dose intensity was associated with efficacy in SMM pts, an extended, dose-intensive schedule was selected for an ongoing phase 3 study of DARA monotherapy versus active monitoring in SMM (AQUILA). Disclosures Landgren: Celgene: Consultancy, Research Funding; Karyopharm: Consultancy; Pfizer: Consultancy; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Research Funding. Cavo:AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Chari:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive Biotechnology: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Myers Squibb: Consultancy; Pharmacyclics: Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Array Biopharma: Research Funding; The Binding Site: Consultancy. Cohen:Janssen: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Takeda: Honoraria, Research Funding. Spencer:Celgene: Honoraria, Research Funding, Speakers Bureau; Janssen-Cilag: Honoraria, Research Funding, Speakers Bureau; Amgen: Honoraria, Research Funding; BMS: Research Funding; Takeda: Honoraria, Research Funding, Speakers Bureau; STA: Honoraria. Voorhees:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: served on an IRC; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Oncopeptides: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: served on an IRC; Novartis: Consultancy, Other: served on an IRC; TeneoBio: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen Inc.: Speakers Bureau. Estell:Janssen: Membership on an entity's Board of Directors or advisory committees. Sandhu:Bioverativ: Honoraria; Celgene: Honoraria; Amgen: Honoraria; Novartis: Honoraria; Janssen: Honoraria. Jenner:Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Williams:Takeda: Honoraria, Other: travel support, Speakers Bureau; Celgene: Honoraria, Other: travel support, Speakers Bureau; Amgen: Honoraria, Speakers Bureau; Janssen: Honoraria, Other: travel support, Speakers Bureau; Novartis: Honoraria. van de Donk:Janssen Pharmceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Research Funding; Novartis: Research Funding; Bristol-Myers Squibb: Research Funding; Celgene: Research Funding. Beksac:Amgen,Janssen-Cilag,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. Goldschmidt:Chugai: Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Mundipharma: Research Funding; Amgen: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Novartis: Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; Adaptive Biotechnology: Consultancy; ArtTempi: Honoraria. Moreau:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory c

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)0,008
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 non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,008
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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 Opus0,018
Tête enseignante GPT0,283
Écart entre enseignants0,265 · 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 non 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

Citations8
Publié2018
Routes d'admission1
Résumé présentoui

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