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Enregistrement W2562443556 · doi:10.1182/blood.v116.21.3273.3273

Phase 2 Study of MLN8237, An Investigational Aurora A Kinase (AAK) Inhibitor In Patients with Acute Myelogenous Leukemia (AML) or Myelodysplastic Syndromes (MDS)

2010· article· en· W2562443556 sur OpenAlexaff
Stuart L. Goldberg, Pierre Fenaux, Michael Craig, Emmanuel Gyan, John Lister, Jeannine Kassis, Arnaud Pigneux, Gary J. Schiller, JungAh Jung, E. Jane Leonard, Howard Fingert, Peter Westervelt

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueMicrotubule and mitosis dynamics
Établissements canadiensUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésCommon Terminology Criteria for Adverse EventsMedicineInternal medicineNeutropeniaPhases of clinical researchAdverse effectOncologyMultiple myelomaLeukemiaClinical trialToxicity

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 3273 Background: AAK is essential for mitotic progression and is amplified or overexpressed in AML and other hematologic malignancies. The investigational agent MLN8237 is an orally available, potent, and selective AAK inhibitor with preclinical activity against leukemias, lymphomas, and myeloma. Phase 1–2 and pharmacodynamic results show a mechanism of selective AAK inhibition, and some durable clinical activity in patients with treatment-resistant malignancies. Methods: Open-label, multicenter, phase 2 trial (NCT00830518) of MLN8237 in patients aged ≥18 years with advanced AML or intermediate-2/high-risk MDS. Eligibility criteria included ECOG performance status 0–2, adequate organ function, and >10% blasts in bone marrow. Patients were not excluded based on number of prior therapies, treatment with hydroxyurea or steroids, prior transplant, or ongoing cytopenias. Patients received 21-day cycles of MLN8237 50 mg BID for 7 days followed by 14 days' rest until disease progression or unacceptable toxicity. The primary endpoint was response rate, defined as complete (CR) plus partial (PR) response, which included CR (CRi) or PR (PRi) with incomplete blood count recovery in AML patients and marrow CR or PRi in MDS patients. Response was evaluated by modified AML/MDS international working group (IWG) criteria; stable disease was defined as failure to achieve PRi but no evidence of progression in AML patients, and as failure to achieve PR but no evidence of progression for >8 weeks in MDS patients. Adverse events (AEs) were graded by National Cancer Institute Common Terminology Criteria for AEs (NCI CTCAE) version 3.0. Results: 57 patients were enrolled; median age was 72 years (range 46–85), 56% were male, and 81% white. Forty-six (81%) patients had AML, of whom 21 (37%) had secondary leukemia. Of 11 (19%) patients with MDS, 8 had an IPSS score of intermediate-2 (1.5 or 2.0), and 3 had a high (≥2.5) score. Forty-nine (86%) patients had received prior therapies, and 9 (16%) received ≥3 prior therapies. Patients received a median of 2 cycles (range 1–16) of MLN8237. Treatment-related grade 3/4 AEs were seen in 24 (42%) patients and included febrile neutropenia (11%), thrombocytopenia (9%), anemia (9%), fatigue (7%), and neutropenia (7%). Treatment-emergent somnolence was identified in 14 (25%) patients, and grade 3/4 treatment-related somnolence was reported in 2 (4%) patients. Fourteen (25%) patients discontinued due to AEs. Twenty-two on-study deaths were reported, caused by events unrelated to MLN8237, including progressive disease (46%), and sepsis (14%); of these, 9 deaths from AML occurred within 2 months of study entry. Overall, 6 (13%) responses were observed (all AML patients; response-evaluable population n=45); 5 patients had PR. One CR was documented in a 79-year old female with AML and no prior therapy, who presented with 23% bone marrow blasts at the time of progression from MDS/RAEB-2, and remains in CR through 16 cycles (1 year). Seventeen (49%) AML and 2 MDS (20%) patients achieved stable disease. Ongoing analyses suggest that co-morbidities influenced clinical outcomes. Conclusions: Data suggest that single-agent MLN8237 has anti-leukemia activity with a 13% response rate (all AML) in this clinical study of patients with advanced, mainly pre-treated disease. In patients with rapidly progressive disease, these results indicate that improved outcomes require strategies to enhance both disease control and risk management in early cycles, allowing time needed to achieve clinical benefit from AAK inhibition. These results support further clinical studies of MLN8237 in heme-lymphatic malignancies and solid tumors. Disclosures: Goldberg: Millennium Pharmaceuticals, Inc.: Research Funding. Off Label Use: Investigational agent in clinical development for the treatment of AML/MDS. Fenaux:Celgene: Honoraria, Research Funding; Roche: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Janssen Cilag: Honoraria, Research Funding; Cephalon: Honoraria, Research Funding; GSK Merck: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Craig:Genentech: Membership on an entity's Board of Directors or advisory committees. Gyan:Amgen: Research Funding; Janssen-Cilag: Research Funding; Celegene: Honoraria, Research Funding; Roche: Honoraria. Schiller:Millennium Pharmaceuticals, Inc.: Research Funding. Jung: Millennium Pharmaceuticals, Inc.: Employment. Leonard:Millennium Pharmaceuticals, Inc.: Employment. Fingert:Millennium Pharmaceuticals, Inc.: Employment, Equity Ownership. Westervelt:Novartis: Honoraria; Celgene: Honoraria, Speakers Bureau.

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 enseignants0,004
Score d'incertitude au seuil0,014

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,007
Tête enseignante GPT0,234
Écart entre enseignants0,227 · 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

Citations20
Publié2010
Routes d'admission1
Résumé présentoui

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