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Enregistrement W2471073614 · doi:10.1182/blood.v126.23.731.731

Efficacy and Safety of Carfilzomib, Lenalidomide, and Dexamethasone Vs Lenalidomide and Dexamethasone in Patients with Relapsed Multiple Myeloma Based on Cytogenetic Risk Status: Subgroup Analysis from the Phase 3 Study Aspire (NCT01080391)

2015· article· en· W2471073614 sur OpenAlexaff
Hervé Avet‐Loiseau, Rafaël Fonseca, David S. Siegel, Meletios Α. Dimopoulos, Ivan Špıčka, Tamás Masszi, Roman Hájek, Laura Rosiñol, Vesselina Goranova‐Marinova, Georgi Mihaylov, Vladimír Maisnar, María-Victoria Mateos, Michael Wang, Rubén Niesvizky, Albert Oriol, Andrzej Jakubowiak, Jiří Minařík, Antonio Palumbo, William Bensinger, Vishal Kukreti, Dina Ben‐Yehuda, Margaret Tonda, Mihaela Obreja, Philippe Moreau

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésLenalidomideCarfilzomibDexamethasoneMultiple myelomaMedicineOncologyPomalidomideInternal medicineSubgroup analysisThalidomideConfidence interval

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Single-agent carfilzomib has shown encouraging activity in patients with relapsed and refractory multiple myeloma who harbor high-risk cytogenetic abnormalities (Jakubowiak et al, Leukemia 2013;27:2351-56). The phase 3 study ASPIRE (NCT01080391; N=792 patients) demonstrated that progression-free survival (PFS) was significantly improved with carfilzomib, lenalidomide, and dexamethasone (KRd), compared with lenalidomide and dexamethasone (Rd) in patients with relapsed multiple myeloma (RMM) (Stewart et al, N Engl J Med 2015;372:142-52). We present a pre-planned subgroup analysis of the efficacy and safety of KRd vs Rd in the ASPIRE study according to baseline cytogenetic risk status. Methods: Adults with RMM (1-3 prior lines of therapy) were eligible. Patients were randomized (1:1) to KRd or Rd. Treatment was administered in 28-day cycles. Patients in the KRd arm received carfilzomib as a 10-minute intravenous infusion on days 1, 2, 8, 9, 15, and 16 (starting dose, 20 mg/m2 on days 1 and 2 of cycle 1; target dose, 27 mg/m2 thereafter) during cycles 1-12; carfilzomib was omitted on days 8 and 9 during cycles 13-18 and was discontinued after 18 cycles. All patients received lenalidomide 25 mg on days 1-21 and dexamethasone 40 mg on days 1, 8, 15, and 22. The primary end point was PFS. Secondary end points included overall survival, overall response rate (ORR), duration of response (DOR), health-related quality of life, and safety. Cytogenetic risk status was assessed using fluorescence in situ hybridization. The high-risk group consisted of patients with the genetic subtype t(4;14) or t(14;16) or with deletion 17p in ≥60% of plasma cells, according to central review of bone marrow samples obtained at study entry. The standard-risk group consisted of all other patients with known baseline cytogenetics. The cutoff value of 60% for the proportion of plasma cells with deletion 17p was used on the basis of recommendations from the International Myeloma Workshop Consensus Panel 2 (Munshi et al. Blood 2011;117:4696-700). Results: A total of 792 patients were randomized to KRd (n=396) or Rd (n=396). In patients with known baseline cytogenetics, baseline cytogenetic risk status was similar between the treatment arms (high-risk: KRd, 24.6%; Rd, 23.4%; standard-risk: KRd, 75.4%; Rd, 76.6%). Efficacy outcomes by cytogenetic risk status are presented in the Table. Median PFS in the high-risk group (n=100) was 23.1 months (95% confidence interval [CI]: 12.5-24.2) for KRd vs 13.9 months (95% CI: 9.5-16.7) for Rd (hazard ratio [HR]: 0.639; 95% CI: 0.369-1.106). Median PFS in the standard-risk group (n=317) was 29.6 months (95% CI: 24.1-not estimable) for KRd vs 19.5 months (95% CI: 14.8-26.0) for Rd (HR: 0.657; 95% CI: 0.480-0.901). ORRs were 79.2% (KRd) vs 59.6% (Rd) in the high-risk group, and 91.2% (KRd) vs 73.5% (Rd) in the standard-risk group. In the high-risk group, 29.2% (KRd) and 5.8% (Rd) of patients achieved a complete response (CR) or better, including 16.7% (KRd) and 3.8% (Rd) with a stringent complete response (sCR). In the standard-risk group, 38.1% (KRd) and 6.5% (Rd) of patients achieved ≥CR, including 15.0% (KRd) and 3.5% (Rd) with an sCR. Median DOR in the high-risk group was 22.2 months for KRd vs 14.9 months for Rd. Median DOR in the standard-risk group was 30.4 months for KRd vs 20.4 months for Rd. The rate of grade ≥3 adverse events was 89.1% (KRd) vs 78.4% (Rd) in the high-risk group, and 85.6% (KRd) vs 84.5% (Rd) in the standard-risk group. Rates of grade ≥3 adverse events of interest (dyspnea, hypertension, acute renal failure, cardiac failure, ischemic heart disease, and peripheral neuropathy) by cytogenetic risk status are presented in the Table. Conclusion: In patients with high-risk cytogenetics, treatment with KRd resulted in a median PFS of nearly 2 years, which was a 9-month improvement relative to that in patients treated with Rd. Treatment with KRd also led to a 10-month improvement in median PFS vs Rd in patients with standard-risk cytogenetics; similar reductions in the risk of progression or death with Kd vs Vd were observed in both cytogenetics risk groups. Treatment with KRd also led to higher response rates, greater response depth, and a longer DOR compared with Rd in patients with high- or standard-risk cytogenetics. KRd had a favorable benefit-risk profile in patients with RMM, irrespective of baseline cytogenetic risk status, and improved outcomes in patients with high-risk disease. Disclosures Fonseca: Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Applied Biosciences: 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, Patents & Royalties, Research Funding; Bayer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Onyx/Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Binding Site: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Millennium: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding. Siegel:Celgene Corporation: Consultancy, Speakers Bureau; Amgen: Speakers Bureau; Takeda: Speakers Bureau; Novartis: Speakers Bureau; Merck: Speakers Bureau. Dimopoulos:Celgene: Honoraria; Onyx: Honoraria; Genesis: Honoraria; Janssen-Cilag: Honoraria; Novartis: Honoraria; Janssen: Honoraria; Amgen: Honoraria. Spicka:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen-Cilag: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Masszi:Novartis: Consultancy; Janssen-Cilag: Consultancy; BMS: Consultancy; Takeda: Consultancy. Hájek:Janssen-Cilag: Honoraria; Celgene, Merck Sharp & Dohme: Consultancy, Honoraria. Rosiñol:Celgene: Honoraria; Janssen: Honoraria. Mateos:Janssen-Cilag: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Takeda: Consultancy; Onyx: Consultancy. Wang:Celgene: Research Funding. Niesvizky:Celgene: Consultancy, Speakers Bureau. Oriol:Celgene: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Amgen: Consultancy, Speakers Bureau. Jakubowiak:Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; SkylineDx: Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi-Aventis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Onyx: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millennium: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: institutional funding for support of clinical trial conduct, Speakers Bureau; Onyx: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Karyopharm: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi-Aventis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; SkylineDx: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Palumbo:Celgene, Millennium Pharmaceuticals, Amgen, Bristol-Myers Squibb, Genmab, Janssen-Cilag, Onyx Pharmaceuticals: Consultancy, Honoraria; Novartis, Sanofi Aventis: Honoraria. Bensinger:Onyx: Research Funding, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Acetylon: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees, Research Funding; Millenium: Research Funding. Kukreti:Lundbeck: Honoraria; Ortho: Honoraria; Janssen: Honoraria; Celgene: Honoraria; Amgen: Honoraria. Tonda:Onyx: Employment. Obreja:Amgen Inc: Employment. Moreau:Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janss

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 non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,007
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,022
Tête enseignante GPT0,281
Écart entre enseignants0,259 · 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

Citations10
Publié2015
Routes d'admission1
Résumé présentoui

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