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Enregistrement W2905841490 · doi:10.1182/blood-2018-99-111920

Pomalidomide + Low-Dose Dexamethasone + Daratumumab in Relapsed and/or Refractory Multiple Myeloma after Lenalidomide-Based Treatment Failure

2018· article· en· W2905841490 sur OpenAlexaffabout
David S. Siegel, Gary J. Schiller, Christy Samaras, Michaël Sébag, Jesús G. Berdeja, Siddhartha Ganguly, Jeffrey Matous, Kevin Song, Christopher S. Seet, Giampaolo Talamo, Mirelis Acosta-Rivera, Michael Bär, Donald P. Quick, Bertrand Anz, Gustavo Fonseca, Donna Reece, Amit Agarwal, Weiyuan Chung, Faiza Zafar, Nizar J. Bahlis

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensPrincess Margaret Cancer CentreVancouver General HospitalUniversity of CalgaryMcGill University Health Centre
Organismes subventionnairesnon disponible
Mots-clésPomalidomideLenalidomideMedicineDaratumumabPopulationMultiple myelomaInternal medicineRegimenClinical endpointCohortDexamethasoneProgressive diseaseSurgeryOncologyClinical trialChemotherapy

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND Lenalidomide (LEN) until progressive disease (PD) is an established treatment (Tx) in newly diagnosed and relapsed and/or refractory multiple myeloma (RRMM); thus, patients (pts) for whom the benefit of LEN has been exhausted are a clinically relevant population. However, LEN-refractory pts have typically been excluded from recent clinical trials investigating triplet regimens after ≤ 3 prior Tx lines. MM-014 (NCT01946477) is an ongoing phase 2 study that was designed to assess the safety and efficacy of pomalidomide (POM)-based Tx regimens in pts with RRMM and first- or second-line LEN Tx failure immediately before study entry. Earlier results from cohort A (POM + low-dose dexamethasone [LoDEX]) and cohort B (POM + LoDEX + daratumumab [DARA]) indicate that POM-based Tx is safe and effective in this setting. Here we report updated results from cohort B. METHODS Eligible pts had RRMM, had 1 or 2 prior lines of Tx, received LEN-based Tx as their most recent Tx regimen, and had PD during or after their last line of Tx. Pts received POM 4 mg/day on days 1 through 21 + LoDEX 40 mg/day (20 mg/day if aged > 75 years) on days 1, 8, 15, and 22 and DARA 16 mg/kg intravenously on DEX dosing days of cycles 1 and 2, days 1 and 15 of cycles 3 through 6, then day 1 of cycle 7 and beyond. Each Tx cycle lasted 28 days. Thromboprophylaxis was mandatory. The primary endpoint for cohort B is overall response rate (ORR) by modified International Myeloma Working Group criteria. Secondary endpoints include time to response (TTR), progression-free survival (PFS), time to progression (TTP), and safety. RESULTS The intention-to-treat (ITT) population comprised 112 pts (median follow-up, 8.2 mos); data cutoff was April 30, 2018. Median age was 66.5 years, 67.9% of pts were male, and 111 (99.1%) had ECOG PS ≤ 1. A total of 34 pts discontinued Tx: 19 due to PD, 9 due to study withdrawal, 2 due to adverse events (AEs), and 4 due to other reasons. All pts received prior LEN, and 87 (77.7%) received prior bortezomib; 84 pts (75.0%) were refractory to LEN, while 28 (25.0%) relapsed after LEN-based Tx. Median duration of the most recent prior LEN-based Tx was 23.9 mos, with 36 pts (32.1%) receiving LEN 25 mg/day during their last LEN-based Tx. ORR was 77.7%, with 33.9% of pts achieving ≥ very good partial response. Median TTR was 1.0 mo. The clinical benefit rate (≥ minimal response [MR]) was 85.7%. ORR was 80.6% in the efficacy-evaluable population (n = 108; defined as all pts who received ≥ 1 dose of study drug and had ≥ 1 post-baseline response assessment), 75.0% in LEN-refractory pts, and 76.2% in pts with 2 prior lines of Tx (n = 42). The 9-mo PFS rate was 86.3% (range, 76.5%-92.2%); median PFS was not estimable (NE; Figure). The 9-mo TTP rate was 88.1% (range, 78.3%-93.6%); median TTP was NE. The most common grade 3/4 hematologic treatment-emergent AE (TEAE) in the safety population (n = 112) was neutropenia (61.6%; Table); pneumonia was the most common grade 3/4 nonhematologic TEAE (7.1%). POM dose reductions occurred in 31 pts (27.7%); per protocol, DARA dose reductions were not allowed. POM dose interruptions due to AEs were reported in 69 pts (61.6%) and DARA dose interruptions due to AEs were reported in 82 pts (73.2%). POM and DARA dose interruptions due to neutropenia were reported in 39 (34.8%) and 42 (37.5%) pts, respectively; 25 pts (22.3%) had DARA dose interruptions due to infusion-related reactions. Median durations of POM and DARA Tx were 6.0 mos (range, 0.3-17.7 mos) and 6.6 mos (range, 0.3-18.6 mos), respectively; among those who achieved ≥ MR, pts remained on POM Tx for a median of 7.4 mos (range, 0.9-17.7 mos) and on DARA Tx for a median of 7.5 mos (range, 0.9-18.6 mos). CONCLUSIONS LEN-refractory pts with RRMM are in need of effective Tx options. MM-014 is the first prospective clinical trial to investigate a POM-based doublet or triplet regimen immediately after LEN-based Tx failure. In the context of a relatively short follow-up, the 9-mo PFS rate (86.3%) is promising. The ORR (77.7%) was higher than that previously reported with this triplet combination in heavily pre-treated pts with RRMM (≥ 2 prior lines [median, 4]; ORR, 60%), and the rate of grade 3/4 neutropenia in the present study was lower (61.6% vs 77%). These updated results from cohort B continue to demonstrate that POM + LoDEX + DARA is safe and effective following first- or second-line LEN-based Tx failure and further support earlier use of POM-based Tx in pts with RRMM Disclosures Siegel: Takeda: Consultancy, Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Merck: Consultancy, Honoraria, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Karyopharm: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Speakers Bureau. Schiller:Pharmacyclics: Research Funding; Celator/Jazz Pharmaceuticals: Research Funding. Sebag:Amgen Canada: Membership on an entity's Board of Directors or advisory committees; Takeda Canada: Membership on an entity's Board of Directors or advisory committees; Janssen Inc.: Membership on an entity's Board of Directors or advisory committees; Celgene Canada: Membership on an entity's Board of Directors or advisory committees. Berdeja:Bluebird: Research Funding; Janssen: Research Funding; Sanofi: Research Funding; Takeda: Research Funding; Novartis: Research Funding; Celgene: Research Funding; Bristol-Myers Squibb: Research Funding; Glenmark: Research Funding; Genentech: Research Funding; Amgen: Research Funding; Teva: Research Funding; Poseida Therapeutics, Inc.: Research Funding. Ganguly:Janssen: Consultancy; Seattle Genetics: Speakers Bureau; Amgen: Consultancy; Daiichi Sankyo: Research Funding. Matous:Celgene: Consultancy, Honoraria, Speakers Bureau. Bar:Celgene: Consultancy. Quick:CTI BioPharma: Research Funding. Fonseca:Celgene: Speakers Bureau. Reece:Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Merck: Honoraria, Research Funding; Otsuka: Research Funding. Agarwal:Celgene Corporation: Employment, Equity Ownership. Chung:Celgene Corporation: Employment, Equity Ownership. Zafar:Celgene: Employment. Bahlis:Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Amgen: 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)0,001
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: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
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)0,0020,000

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 Opus0,023
Tête enseignante GPT0,292
Écart entre enseignants0,269 · 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

Citations6
Publié2018
Routes d'admission2
Résumé présentoui

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