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Enregistrement W4405034804 · doi:10.1182/blood-2024-207634

5-Year Follow-up of the Phase 2 Optic Study in Patients with Chronic-Phase Chronic Myeloid Leukemia: Efficacy, Safety, and First End-of-Treatment Mutational Results

2024· article· en· W4405034804 sur OpenAlexaff
Jörge E. Cortes, Michael W. Deininger, Jane F. Apperley, Christopher Arthur, Charles Chuah, Andreas Hochhaus, Hugues de Lavallade, Jeffrey H. Lipton, Elza Lomaia, James McCloskey, Michael J. Mauro, Beatriz Moiraghi, Carolina Pavlovsky, Gianantonio Rosti, Philippe Rousselot, María Soledad Undurraga, Lin Yang, Alexander Vorog, Tammie C. Yeh, L. Evan Reddick, Niti Patel, Hagop M. Kantarjian

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesScheme for Promotion of Academic and Research CollaborationSun PharmaOtsuka PharmaceuticalAscentage PharmaIpsen BiopharmaceuticalsIpsenJazz PharmaceuticalsBristol-Myers SquibbIncyteAmgen
Mots-clésMedicineMyeloid leukemiaPhases of clinical researchPhase (matter)OncologyInternal medicineClinical trialChemistry

Résumé

récupéré en direct d'OpenAlex

Introduction: Ponatinib is a third-generation BCR::ABL1 tyrosine kinase inhibitor (TKI) that potently inhibits native and mutant forms of BCR::ABL1, including T315I. The phase 2 OPTIC (NCT02467270) study evaluated a response-based ponatinib dosing strategy to optimize efficacy and improve safety of ponatinib in patients (pts) with chronic-phase chronic myeloid leukemia (CP-CML) whose disease was resistant to ≥2 TKIs or who had the T315I mutation. The 45-mg once-daily (QD) starting dose with dose reduction to 15 mg QD upon achievement of BCR::ABL1IS ≤1% (MR2) was associated with optimal benefit:risk outcomes, resulting in FDA approval of this response-based dosing strategy for the treatment of pts with CP-CML with disease resistant to ≥2 TKIs or with T315I. We present results from the 5-year update of efficacy and safety outcomes from OPTIC. Methods: Pts with CP-CML resistant to ≥2 TKIs or with the T315I mutation were randomized to ponatinib starting doses of 45 mg, 30 mg, and 15 mg QD. Upon achievement of ≤1% BCR::ABL1IS, doses were reduced to 15 mg in the 45-mg and 30-mg cohorts. The primary endpoint was ≤1% BCR::ABL1IS at 12 months; secondary endpoints included molecular response rates and safety outcomes, including arterial occlusive events (AOEs) adjudicated prospectively by an independent review committee. Progression-free survival (PFS) and overall survival (OS) were analyzed by Kaplan-Meier methods. Exploratory mutational analyses were conducted with baseline and end-of-treatment (EOT) blood samples. Results: A total of 283 pts were randomized (45 mg/30 mg/15 mg: n=94/95/94; median age, 48 years [range: 18‒81 years]; male, 50%; race: White 79%, Asian 15%, Black 2%; ethnicity: 74% not Hispanic or Latino; T315I mutation, 24%). Median dose intensity was 27.7, 23.5, and 14.7 mg/day in the 45-mg, 30-mg, and 15-mg cohorts, respectively. As of the data cutoff (May 2, 2024), when the last pt still on study reached at least 5 years of treatment, 73 pts (26%) remained on ponatinib treatment; the most common reasons for treatment discontinuation were adverse event (45 mg/30 mg/15 mg: n=20/19/17), lack of efficacy (n=16/22/28), and progressive disease (n=8/10/7). By 60 months, 60% (56/93), 41% (38/93), and 40% (36/91) of pts in the 45-mg, 30-mg, and 15-mg cohorts, respectively, achieved ≤1% BCR::ABL1IS. Pts with a T315I mutation at baseline also had a higher MR2 rate by 60 months at the 45-mg starting dose (64%; n=25), which was comparable to those with no mutations at baseline (60%; n=50). Median duration of ≤1% BCR::ABL1IS was not reached in any cohort. By 60 months, the rates of ≤0.01% BCR::ABL1IS were 24% (22/93), 18% (17/93), and 19% (17/91) in the 45-mg, 30-mg, and 15-mg starting dose cohorts, respectively, and rates of ≤0.0032% BCR::ABLIS were 13% (12/93), 14% (13/93), and 15% (14/91), respectively. The estimated PFS rates at 60 months were 63%, 57%, and 60% in the 45-mg, 30-mg, and 15-mg cohorts. Estimated OS rates at 60 months were similar across starting dosing cohorts. Among pts who had dose reduction to 15 mg after achieving ≤1% BCR::ABL1IS, 29% (13/45) in the 45-mg cohort and 23% (6/26) in the 30-mg cohort lost the response after dose reduction. Of the pts in the 45-mg and 30-mg cohorts who had dose re-escalation after loss of ≤1% BCR::ABL1IS response, 69% (9/13) and 80% (4/5), respectively, regained a ≤1% BCR::ABL1IS response. The most common grade 3/4 treatment-emergent adverse events were thrombocytopenia (27%), neutropenia (18%), and hypertension (10%). Exposure-adjusted AOE rates per 100 pt-years (95% confidence interval) were similar across the 3 cohorts: 45 mg, 4.1 (1.8-6.4); 30 mg, 3.4 (1.0-5.8); 15 mg, 1.2 (0.0-2.5). For the first time, EOT mutation analyses will be shared. Among 74 pts with no baseline mutation and available EOT data, only 6 had BCR::ABL1 mutations detected; 5 received the 15-mg starting dose and 1 had the 45-mg starting dose (E255K). Conclusion: Long-term results from OPTIC highlight the clinical benefits of ponatinib in patients with CP-CML resistant to ≥2 TKIs or harboring a T315I mutation. These results are consistent with previous OPTIC analyses and demonstrate that the approved ponatinib starting dose of 45 mg QD with reduction to 15 mg QD upon attainment of ≤1% BCR::ABL1IS provides the optimal benefit:risk ratio. Mutation data from EOT samples support ponatinib suppression of emerging mutations at the approved 45-mg starting dose.

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)0,005
score de la tête « metaresearch » (Gemma)0,003
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 enseignants0,005
Score d'incertitude au seuil0,029

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,012
Tête enseignante GPT0,276
Écart entre enseignants0,264 · 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

Citations3
Publié2024
Routes d'admission1
Résumé présentoui

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