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Record 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 on OpenAlexaffabout
Fatima Khadadah, Anargyros Xenocostas, Lambert Busque, Kareem Jamani, Sonia Cerquozzi, Philip Kuruvilla, Brian Leber, Rayan Kaedbey, Sarit Assouline, Dennis Dong Hwan Kim

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsJewish General HospitalJuravinski Cancer CentreMcGill UniversityUniversity of CalgaryBrampton Civic HospitalAlberta Health ServicesHôpital Maisonneuve-RosemontWestern UniversityPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsBosutinibDasatinibMedicineNilotinibDiscontinuationInternal medicineImatinib mesylateImatinibAdverse effectOncologyMyeloid leukemia

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.266
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations5
Published2021
Admission routes2
Has abstractyes

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