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Enregistrement W2552855124 · doi:10.1182/blood.v126.23.730.730

Impact of Cytogenetics on Outcomes of Transplant-Ineligible Patients with Newly Diagnosed Multiple Myeloma Treated with Continuous Lenalidomide Plus Low-Dose Dexamethasone in the First (MM-020) Trial

2015· article· en· W2552855124 sur OpenAlexaff
Hervé Avet‐Loiseau, Cyrille Hulin, Lofti Benboubker, Meletios Α. Dimopoulos, Andrew Belch, Donna Reece, John Catalano, Antonio Pinto, Heinz Ludwig, Nizar J. Bahlis, Michèle Cavo, Michel Attal, Philippe Moreau, Lugui Qiu, Richard LeBlanc, Rik Schots, S. Vincent Rajkumar, Jennifer Marek, Guang Chen, Wai Yiu, Annette Ervin‐Haynes, Thierry Façon

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensUniversité de MontréalHôpital Maisonneuve-RosemontUniversity of CalgaryPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineLenalidomideInternal medicineMultiple myelomaMelphalanPopulationClinical endpointOncologySurgeryRandomized controlled trial

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Cytogenetic abnormalities in patients (pts) with multiple myeloma (MM) are of prognostic importance and can be associated with poor outcomes (Bergsagel, Blood, 2011). The FIRST trial is a pivotal phase 3 study with the largest data set in transplant-ineligible pts with newly diagnosed MM (NDMM). This subanalysis evaluates the impact of cytogenetics on outcomes in transplant-ineligible pts with NDMM continuously treated with lenalidomide plus low-dose dexamethasone until disease progression (Rd continuous). Methods: Transplant-ineligible pts with NDMM were randomized to 1 of 3 treatment arms: Rd continuous, Rd18 (Rd for 18 cycles [72 weeks]), or melphalan-prednisone-thalidomide (MPT; for 12 cycles [72 weeks]). Cytogenetics were assessed using fluorescence in situ hybridization. Pts were categorized into cytogenetic risk groups according to International Myeloma Working Group criteria. High-risk cytogenetics included del(17p), t(4;14), and t(14;16); all other pts were categorized as non-high risk. The primary endpoint was progression-free survival (PFS; primary comparators were Rd continuous vs MPT), and key secondary endpoints were overall survival (OS), overall response rate (ORR), and safety. Results: A total of 762 of 1623 pts from the intent-to-treat population had validated cytogenetic profiles, with 142 pts in the high-risk group and 620 pts in the non-high-risk group. Baseline characteristics were well balanced across cytogenetic risk groups (Table 1). The median follow-up for OS was 40.2 months for the 762 pts in this analysis (data cutoff, March 03, 2014). In the non-high-risk group, median duration of treatment was 19.4 months with Rd continuous and 16.6 months with both Rd18 and MPT. In the high-risk group, median duration of treatment was 10.0 months with Rd continuous, 8.2 months with Rd18, and 12.0 months with MPT. Rd continuous treatment resulted in a 24% reduced risk of death or progression compared with MPT and an even greater 32% reduced risk in pts without high-risk cytogenetics (Table 2). In non-high-risk pts, median PFS was 31.1 months with Rd continuous compared with 21.2 and 24.9 months with Rd18 and MPT, respectively (Figure). However, in high-risk pts, the observed numerical median PFS favoring Rd18 is mainly due to small pt numbers influenced by long runners (n = 5), and the greatly overlapping 95% CIs from all 3 arms show the difference is likely to be minimal. Rd continuous treatment resulted in a 28% reduced risk of death vs MPT overall and a 34% reduced risk in pts without high-risk cytogenetics. OS was similar across treatment arms for high-risk pts. ORRs in all cytogenetic risk groups favored Rd continuous vs MPT. In pts with high-risk cytogenetics, higher-quality responses were also observed with Rd continuous vs MPT treatment. Similar results were seen with Rd continuous compared with Rd18, although OS and ORR benefits overall and in pts without high-risk cytogenetics were not as pronounced. In all 3 treatment arms, adverse events were consistent across cytogenetic risk groups. Conclusions: Rd continuous treatment resulted in PFS and OS benefits vs MPT in pts with validated cytogenetic profiles. This was largely due to PFS and OS improvements in pts without high-risk cytogenetics. In the high-risk group, the longest PFS was observed with Rd18 treatment and OS was similar across treatment arms. Despite being on the continuous vs fixed duration treatment arm, high-risk pts on Rd continuous received a shorter duration of treatment than those on MPT, which may explain why PFS favored MPT vs Rd continuous. Higher response rates were observed with Rd continuous vs MPT, regardless of cytogenetic risk, and greater quality responses were observed in pts with high-risk cytogenetics. The safety profile of Rd continuous was manageable and consistent between cytogenetic risk groups. Results support Rd continuous as a standard treatment option for pts with NDMM who are ineligible for transplant, especially those without high-risk cytogenetics. Additional PFS and OS benefits may be achieved in pts with high-risk cytogenetics when Rd continuous is used as a backbone for combination therapy with a novel agent. Promising activity in pts with high-risk cytogenetic abnormalities has been demonstrated using this approach (Lonial et al, N Engl J Med, 2015; Stewart et al, N Engl J Med, 2015). Disclosures Hulin: Celgene Corporation: Honoraria; Janssen: Honoraria; Amgen: Honoraria; Bristol Myers Squibb: Honoraria. Dimopoulos:Celgene: Honoraria; Onyx: Honoraria; Novartis: Honoraria; Janssen-Cilag: Honoraria; Amgen: Honoraria; Janssen: Honoraria; Genesis: Honoraria. Reece:Lundbeck: Honoraria; Amgen: Honoraria; Merck: Research Funding; Bristol-Myers Squibb: Research Funding; Janssen-Cilag: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy, Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Millennium Takeda: Research Funding; Otsuka: Research Funding. Catalano:Roche: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Celgene Corporation: Consultancy, Honoraria. Pinto:Takeda: Honoraria, Research Funding; Celgene Corporation: Honoraria; Spectrum: Honoraria. Ludwig:Takeda: Research Funding; Celgene Corporation: Honoraria, Speakers Bureau; Onyx: Honoraria, Speakers Bureau; Bristol Myers Squibb: Honoraria, Speakers Bureau; Janssen Cilag: Honoraria, Speakers Bureau. Bahlis:Celgene Corporation: Honoraria, Research Funding. Cavo:Janssen-Cilag, Celgene, Amgen, BMS: Honoraria. Moreau:Takeda: Other: Adboard; Janssen: Other: Adboard; Novartis: Other: Adboard; Amgen: Other: Adboard; Celgene: Honoraria, Other: Adboard. Qiu:Johnson & Johnson: Speakers Bureau; Celgene Corporation: Speakers Bureau; Roche: Speakers Bureau. Schots:Celgene Corporation: Research Funding. Marek:Celgene Corporation: Employment, Equity Ownership. Chen:Celgene Corporation: Employment, Equity Ownership. Yiu:Celgene Corporation: Employment, Equity Ownership. Ervin-Haynes:Celgene Corporation: Employment. Facon:Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millenium: Membership on an entity's Board of Directors or advisory committees; Onyx: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Celgene: 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; Amgen: Membership on an entity's Board of Directors or advisory committees; Pierre Fabre: Membership on an entity's Board of Directors or advisory committees.

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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,011

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0010,000
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 Opus0,031
Tête enseignante GPT0,293
Écart entre enseignants0,262 · 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'étudeObservationnel
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

Citations17
Publié2015
Routes d'admission1
Résumé présentoui

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