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Enregistrement W4389258981 · doi:10.1182/blood-2023-178722

Real-World Evaluation of Treatment Patterns and Clinical Outcomes Among Patients with Chronic Myeloid Leukemia in Chronic Phase (CML-CP) Treated with Asciminib in US Clinical Practice

2023· article· en· W4389258981 sur OpenAlexaff
Ehab Atallah, David Wei, Dominick Latrémouille-Viau, Carmine Rossi, Andrea Damon, Germano Ferreira, Annie Guérin, Kejal Jadhav

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensGroup for Research in Decision Analysis
Organismes subventionnairesnon disponible
Mots-clésMedicineDiscontinuationDasatinibInternal medicineImatinib mesylateBosutinibPonatinibOncologyMyeloid leukemiaClinical trialPhiladelphia chromosomeImatinibChromosomal translocationBiology

Résumé

récupéré en direct d'OpenAlex

Introduction: Tyrosine kinase inhibitors (TKIs) are the mainstay of treatment for CML-CP. Asciminib, a first-in-class inhibitor to Specifically Target the ABL Myristoyl Pocket (STAMP), was FDA-approved on 10/29/2021 for the treatment of adult patients with Philadelphia chromosome-positive (Ph+) CML-CP, previously treated with two or more TKIs or Ph+ CML-CP with the T315I mutation. This study described treatment patterns and real-world clinical outcomes of asciminib in the US. Methods: Data through 11/30/2022 from adult patients with Ph+ CML-CP who initiated asciminib were obtained from the Flatiron Health oncology electronic health record (EHR)-derived de-identified database. Patients who initiated asciminib after ≥2 previous TKIs, without a stem-cell transplant prior to asciminib, and without the T315I mutation, were included in the overall cohort. Time-to-treatment discontinuation and molecular response (MR; time-to-BCR::ABL1 ≤0.1% and time-to-BCR::ABL1 ≤1%, separately) were evaluated from asciminib initiation (index date) using Kaplan-Meier analyses overall, and by the number of TKIs used pre-index (2 previous TKIs, and ≥3 previous TKIs). Patients were required to have ≥1 MR test post-index to be included in the MR assessment; a sensitivity analysis was conducted excluding patients with BCR::ABL1 ≤0.1% or better (≤1% or better) for time-to-BCR::ABL1 ≤0.1% (time-to-BCR:ABL1 ≤1%), as evaluated in the ASCEMBL trial. Results: Overall,97 patients with Ph+ CML-CP initiated asciminib (median age: 63 years, 50.5% female, 64.9% White, 84.8% ECOG 0-1, 61.9% from community-based practices, median follow-up of 6 months post-index). Other malignancies (19.6%), chronic pulmonary disease (18.6%), renal disease (18.6%), and congestive heart failure (16.5%) were the most prevalent pre-index comorbidities. The distribution of last MR in the 3 months pre-index was: 24.7% BCR::ABL1 >10%, 18.6% BCR::ABL1 ≤10% and >1%, 12.4% BCR::ABL1 ≤1% and >0.1%, 12.4% BCR::ABL1 ≤0.1% and >0.01%, and 8.2% BCR::ABL1 ≤0.01% (23.7% not tested/documented). Forty-six patients (47.4%) initiated asciminib after 2 previous TKIs, 24 (24.7%) after 3 TKIs, and the remainder after ≥4 previous TKIs (27.8%). Most patients (78.4%) were prescribed 80 mg (40.2% once daily, 38.1% 40 mg twice a day) at treatment initiation. Use of TKIs prior to asciminib included dasatinib (85.6%), imatinib (63.9%), bosutinib (61.9%), nilotinib (53.6%), and ponatinib (15.5%). Treatment sequences among patients who initiated asciminib after 2 previous TKIs (n=46) are presented in Figure 1. Overall (n=97), persistence rates were 85.7% by 12-weeks (2 previous TKIs: 89.8%; ≥3 previous TKIs: 82.5%) and 78.1% by 24-weeks (2 previous TKIs: 81.8%; ≥3 previous TKIs: 75.3%) post-index. Among patients with ≥1 MR test post-index (n=70), 31.3% (2 previous TKIs: 43.3%; ≥3 previous TKIs: 21.6%) and 49.7% (2 previous TKIs: 71.5%; ≥3 previous TKIs: 33.4%) achieved or maintained BCR::ABL1 ≤0.1% by 12- and 24-weeks, respectively. In addition, 51.3% (2 previous TKIs: 68.7%; ≥3 previous TKIs: 37.2%) and 64.2% (2 previous TKIs: 79.7%; ≥3 previous TKIs: 51.4%) achieved or maintained BCR::ABL1 ≤1% by 12- and 24-weeks, respectively. For patients without BCR::ABL1 ≤0.1% prior to asciminib (n=52; Figure 2), 14.6% (2 previous TKIs: 20.6%; ≥3 previous TKIs: 10.4%) and 32.9% (2 previous TKIs: 56.7%; ≥3 previous TKIs: 17.9%) achieved BCR::ABL1 ≤0.1% by 12- and 24-weeks, respectively, with a median time of 30.7 weeks (2 previous TKIs: 23.0 weeks; ≥3 previous TKIs: 38.1 weeks). For patients without BCR::ABL1 ≤1% prior to asciminib (n=43), 35.6% (2 previous TKIs: 61.9%; ≥3 previous TKIs: 21.9%) and 46.3% (2 previous TKIs: 61.9%; ≥3 previous TKIs: 37.2%) achieved BCR::ABL1 ≤1% by 12- and 24-weeks, respectively, with a median time of 24.6 weeks (2 previous TKIs: 11.3 weeks; ≥3 previous TKIs: 26.9 weeks). Conclusion: This is the first real-world study describing treatment patterns and clinical outcomes among patients with Ph+ CML-CP treated with asciminib in the US. The findings of real-world treatment efficacy based on achieving BCR::ABL1 ≤0.1% were consistent with the ASCEMBL trial. Patients who initiated asciminib after 2 previous TKIs had higher persistence and treatment response rates than those initiated on asciminib after ≥3 previous TKIs. Further studies are warranted to continuously demonstrate the effectiveness of asciminib in a real-world setting.

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)0,002
score de la tête « metaresearch » (Gemma)0,010
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: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,053
Tête enseignante GPT0,398
Écart entre enseignants0,345 · 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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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