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Enregistrement W3213586012 · doi:10.1182/blood-2021-149588

A Real-World Canadian Experience of Asciminib Use in Chronic Myeloid Leukemia (CML) Patients Who Failed Multiple Lines of Tyrosine Kinase Inhibitor (TKI) Therapy

2021· article· en· W3213586012 sur OpenAlexaffabout
Fatima Khadadah, Anargyros Xenocostas, Lambert Busque, Kareem Jamani, Sonia Cerquozzi, Philip Kuruvilla, Brian Leber, Rayan Kaedbey, Sarit Assouline, Dennis Dong Hwan Kim

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensJewish General HospitalJuravinski Cancer CentreMcGill UniversityUniversity of CalgaryBrampton Civic HospitalAlberta Health ServicesHôpital Maisonneuve-RosemontWestern UniversityPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésBosutinibDasatinibMedicineNilotinibDiscontinuationInternal medicineImatinib mesylateImatinibAdverse effectOncologyMyeloid leukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Asciminib (ASC) is a novel, first in class inhibitor specifically targeting the ABL myristate pocket. Phase 3 data comparing ASC to bosutinib have shown a higher rate of major molecular (MMR; 25.5% vs 13.2%) and complete cytogenetic response (40.8% vs 24.2%) at 6 months (mo) in CML patients (pts) in chronic phase (CP) who have failed at least two lines of TKI therapy with a favorable adverse event profile. ASC is available through a compassionate use program for heavily pre-treated CML pts. We share our real-world experience for the use of ASC in CML pts from this program across Canada. Methods: Data were collected on 22 CML pts treated with ASC from 2018 to 2021. Prior TKI history was recorded including: reason for failure to prior therapy, acquired mutations, prior cardiovascular (CV) events and outcome on ASC. BCR-ABL qPCR was performed every 3 mo at each institution. Achievement of MMR and molecular response of 2 log reduction (MR2) was assessed at 6/12 mo, and the most recent assessment. ASC dosing was also assessed at each time-point. Adverse events, resistance, and discontinuation of ASC were captured. Results: Median age was 68 years (range 20-92). 19 were in 1 st CP, 2 in accelerated phase (AP) and 1 in 2 nd CP. The median number of previous TKIs was 3 (range 2-5) with 17 pts (77%) failing at least 3 TKIs; 19 pts (86%) failing imatinib, 17 (77%) dasatinib, 12 (55%) nilotinib, 17 (77%) bosutinib, and 10 (45%) ponatinib. Median duration from first TKI to ASC was 94 mo (range 11-233). 17/22 (77%) pts had a history of a CV event including stroke, peripheral arterial disease, or coronary artery disease. 4 pts had a preexisting T315I mutation. Pts failed previous TKI therapy due to A) resistance or suboptimal response to TKI (n=15, 68%) and B) intolerance to previous TKI (n=7, 32%). With a median of 16 mo follow-up (range 1-34), MMR was noted in 3/17 (18%) and 3/8 (38%) pts evaluated at 6 and 12 mo, respectively. MR2 was noted in 7/17 (41%) and 4/8 pts (50%) at 6/12 mo (Table 1). The cumulative incidence of MMR considering competing events (i.e. ASC discontinuation) was 20.5% (95%CI: 6-41%) and 34.4% (13-57%) while MR2 was 43.8% (22-64%) and 49.4% (25-69%) at 6/12 mo (Fig 1). The proportion of pts in MMR increased from a baseline of 5% to 18%, 18%, 30%, and 38% at 3, 6, 9 and 12 mo. Pts without T315I mutation (n=18) started with a dose of 40mg bid, while pts with T315I started at either 80mg or 120mg bid, then gradually escalated aiming to 200mg bid. 4 pts discontinued the medication due to treatment failure (n=3) or grade 4 thrombocytopenia (n=1). Of those who discontinued, 2 were in AP on initiation of ASC. Side effects included myalgias (n=4), elevated lipase (n=2) and pleural/pericardial effusions (n=2). No CV events were noted in 22 pts. There was no event of disease progression to advanced disease while on ASC therapy or acquisition of new ABL1 kinase domain mutation. The MMR and MR2 rate was lower in ponatinib pre-treated pts (n=10) compared to ponatinib naïve pts (n=12) (Table 1). The MMR and MR2 rates in pts with a T315I mutation (all 4 were ponatinib pre-treated) are at least similar or better than those without T315I. No difference in MMR or MR2 rate was noted between the 2 groups of resistance/suboptimal response vs intolerant to prior TKI therapy. In a subgroup analysis of pts with a past history of a CV event (n=17), no pt discontinued ASC due to another event after a median duration of 17 mo on ASC (range 3-34). Thus, these pts with otherwise very limited options had a reasonable response to ASC without increased risk of CV toxicity (Table 1). Conclusion: In a Canadian real-world experience of ASC use within a compassionate access program in heavily-pretreated CML pts (many with a history of prior CV event), MMR and MR2 rates were comparable to that with ASC in the published literature. No new CV events were noted during ASC therapy in the present group of patients. Figure 1 Figure 1. Disclosures Busque: Novartis: Consultancy. Leber: Jazz: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; TaiHo: Honoraria, Membership on an entity's Board of Directors or advisory committees; Otsuka: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Astellas: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AMGEN: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: 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, Speakers Bureau. Kaedbey: Jewish General Hospital - McGill University: Current Employment; Royal Victoria Hospital Lakeshore Hospital: Ended employment in the past 24 months; Celgene/BMS, Janssen: Honoraria; Takeda, Sanofi: Honoraria. Assouline: Johnson&Johnson: Current equity holder in publicly-traded company; Gilead: Speakers Bureau; Amgen: Current equity holder in publicly-traded company, Research Funding; Novartis: Honoraria, Research Funding; Eli Lilly: Research Funding; Roche/Genentech: Research Funding; Jewish General Hospital, Montreal, Quebec: Current Employment; Takeda: Research Funding; BeiGene: Consultancy, Honoraria, Research Funding; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria. Kim: Novartis: Consultancy, Honoraria, Research Funding; Bristol- Meier Squibb: Research Funding; Pfizer: Honoraria.

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)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,127
Score d'incertitude au seuil0,256

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0040,001
Communication savante0,0010,000
Science ouverte0,0010,001
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 Opus0,023
Tête enseignante GPT0,266
Écart entre enseignants0,243 · 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

Citations5
Publié2021
Routes d'admission2
Résumé présentoui

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