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Enregistrement W3095006759 · doi:10.1182/blood-2020-135883

Outcome By Mutation Status and Line of Treatment in Optic, a Dose-Ranging Study of 3 Starting Doses of Ponatinib in Patients with CP-CML

2020· article· en· W3095006759 sur OpenAlexaff
Jörge E. Cortes, Jane F. Apperley, Andreas Hochhaus, Michael J. Mauro, Philippe Rousselot, Tomasz Sacha, Moshe Talpaz, Charles Chuah, Jeffrey H. Lipton, Michael W. Deininger, Charles A. Schiffer, Lori J. Maness, James McCloskey, Valentín García‐Gutiérrez, Hugues de Lavallade, Gabriel Étienne, Vickie Lu, Shouryadeep Srivastava, Gianantonio Rosti

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensPrincess Margaret Cancer CentreUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésPonatinibMedicineMaximum tolerated doseInternal medicineOncologyDasatinibAdverse effectImatinibMyeloid leukemia

Résumé

récupéré en direct d'OpenAlex

Introduction: In PACE (NCT01207440), patients with refractory chronic-phase chronic myeloid leukemia (CP-CML) with substantial prior second-generation tyrosine kinase inhibitor (TKI) treatment demonstrated deep, lasting responses to ponatinib. However, long-term follow-up identified rates of arterial occlusive events (AOEs) as a risk. OPTIC (NCT02467270) is a randomized Phase 2 trial evaluating ponatinib at 3 starting doses: 45 mg, 30 mg, and 15 mg daily in patients with CP-CML resistant/intolerant to ≥2 TKIs or with a T315I mutation. The interim analysis showed that the 45-mg (vs 30 mg or 15 mg) starting dose (with reduction to 15 mg upon response) provided the best clinical outcomes and responses were maintained in >75% of patients who dose reduced. Here, we present efficacy and safety outcomes by baseline mutation status and line of treatment for the 3 dose cohorts. Methods: Patients with CP-CML resistant/intolerant to ≥2 TKIs or with T315I mutation were randomized to ponatinib starting doses of 45 mg (Cohort A; 45 mg → 15 mg), 30 mg (B; 30 mg → 15 mg), and 15 mg (C) once daily (qd). Doses were reduced to 15 mg on achievement of ≤1% BCR-ABL1ISin Cohorts A and B. Doses also could be reduced for safety. The primary endpoint is ≤1% BCR-ABL1IS at 12 months. In this analysis, the outcome was analyzed by baseline mutation status (none, any, T315I, and non-T315I) and number of prior TKIs (≤2 or ≥3) in the intent-to-treat (ITT) population. Treatment-emergent adverse events (TEAEs), serious TEAEs, and AOEs by adjudication were summarized by number of prior TKIs (≤2 or ≥3). Interim analysis results are descriptive. Results: Patients (N=283) were randomized: A/B/C n=94/95/94; median age was 48 y (18‒81 y). Seven patients were excluded from the intent-to-treat population (N=276) because they had atypical transcripts. Mutation status was well balanced between cohorts; 59% had no mutation, 41% had ≥1 baseline mutation, 24% had T315I, and 17% had a non-T315I mutation. In all categories of mutation status, the rate of ≤1% BCR-ABL1IS by 12 months was highest in Cohort A, with the most notable differences seen in patients with T315I (A: 60%, B: 25%, C: 6%) (Table 1). Patients with no mutations or other mutations had smaller differences but the outcomes all still favored 45 mg. Patients in all cohorts were treated with multiple TKIs, with 54% (A), 60% (B), and 53% (C) having 3 or more prior TKIs. The rate of ≤1% BCR-ABL1IS by 12 months was highest in Cohort A, both in patients treated with ≤2 or ≥3 prior TKIs (43% and 49%, respectively) (Table 1). Table 2 shows rates of TEAEs and TE-AOEs by cohort and number or prior TKIs. There was a trend toward higher event rates in Cohort A and for patients treated with ≥3 TKIs. Rates of adjudicated AOEs were low (≤6%) in all 3 cohorts irrespective of the number of prior TKIs. Conclusions: At this interim analysis with a median follow-up of ~21 months, the maximum benefit:risk, regardless of mutation status or number of prior TKIs, was observed in patients treated with a 45-mg starting dose, with a reduction to 15 mg upon achievement of response. Patients with the T315I mutation who initiated ponatinib at 45 mg experienced better response rates than those who initiated ponatinib at 30-mg or 15-mg starting doses. Primary analysis will provide a refined understanding of the benefit:risk profile of 3 different starting doses of ponatinib. Disclosures Cortes: BioPath Holdings: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Sun Pharma: Research Funding; Telios: Research Funding; Amphivena Therapeutics: Research Funding; Astellas: Research Funding; Bristol-Myers Squibb: Research Funding; BiolineRx: Consultancy, Research Funding; Arog: Research Funding; Jazz Pharmaceuticals: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Immunogen: Research Funding; Merus: Research Funding. Apperley:Bristol Myers Squibb: Honoraria, Speakers Bureau; Incyte: Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Pfizer: Honoraria, Research Funding, Speakers Bureau. Hochhaus:Novartis: Honoraria, Research Funding; Incyte: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Takeda: Honoraria; MSD: Research Funding. Mauro:Sun Pharma/SPARC: Research Funding; Pfizer: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding; Takeda: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding; Novartis: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding. Rousselot:Bristol-Myers Squibb: Consultancy; Pfizer: Consultancy, Research Funding; Novartis: Consultancy; Takeda: Consultancy; Incyte: Consultancy, Research Funding. Sacha:Incyte: Consultancy, Honoraria, Speakers Bureau; Bristol-Myers Squibb Company: Consultancy, Honoraria, Speakers Bureau; Adamed: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy, Honoraria, Speakers Bureau. Talpaz:Novartis: Research Funding; IMAGO: Consultancy; Constellation Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding. Chuah:Korea Otsuka Pharmaceutical: Honoraria; Pfizer: Other: Travel, Research Funding; Novartis: Honoraria; Bristol-Myers Squibb: Honoraria, Research Funding. Lipton:Bristol-Myers Squibb: Honoraria; Pfizer: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Ariad: Consultancy, Research Funding; Takeda: Consultancy, Honoraria, Research Funding. Deininger:SPARC: Research Funding; Novartis: Consultancy, Other, Research Funding; Sangamo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy, Honoraria, Other, Research Funding; Blueprint Medicines Corporation: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: part of a study management committee, Research Funding; Fusion Pharma: Consultancy; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Medscape: Consultancy; DisperSol: Consultancy; Leukemia & Lymphoma Society: Research Funding; Gilead Sciences: Research Funding; Ariad: Consultancy, Honoraria, Other; Bristol-Myers Squibb: Consultancy, Honoraria, Other, Research Funding; Galena: Consultancy, Honoraria, Other; Celgene: Research Funding; Pfizer: Honoraria, Other, Research Funding. Schiffer:BMS: Consultancy; Novartis: Consultancy; Takeda: Research Funding. García Gutiérrez:Pfizer: Honoraria, Other: travel/accommodations/expenses, Research Funding; Novartis Pharma AG: Consultancy, Honoraria, Other: travel/accommodations/expenses, Research Funding; Incyte: Consultancy, Honoraria, Other: travel/accommodations/expenses, Research Funding. de Lavallade:Novartis: Honoraria; Pfizer: Honoraria; BMS: Honoraria, Research Funding; Incyte: Honoraria, Research Funding. Etienne:Bristol-Myers Squibb: Consultancy, Research Funding, Speakers Bureau; Novartis: Consultancy, Research Funding, Speakers Bureau; Pfizer: Consultancy, Speakers Bureau; Incyte: Consultancy, Speakers Bureau. Lu:Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Current Employment. Srivastava:Takeda: Current Employment. Rosti:Novartis: Speakers Bureau; Incyte: Speakers Bureau; Bristol-Myers Squibb: Speakers Bureau; Pfizer: Research Funding, 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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,009

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 technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
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 Opus0,019
Tête enseignante GPT0,273
Écart entre enseignants0,254 · 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

Citations8
Publié2020
Routes d'admission1
Résumé présentoui

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