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Record W4405042935 · doi:10.1182/blood-2024-203757

Asciminib (ASC) Demonstrates Favorable Safety and Tolerability Compared with Each Investigator-Selected Tyrosine Kinase Inhibitor (IS TKI) in Newly Diagnosed Chronic Myeloid Leukemia in Chronic Phase (CML-CP) in the Pivotal Phase 3 ASC4FIRST Study

2024· article· en· W4405042935 on OpenAlexaff
Jörge E. Cortes, Andreas Hochhaus, Timothy P. Hughes, Jianxiang Wang, Dong‐Wook Kim, Dennis Dong Hwan Kim, Jiří Mayer, Yeow Tee Goh, Philipp le Coutre, Gabriel Étienne, Naoto Takahashi, In Ho Kim, David Andorsky, Ghayas C. Issa, Felice Bombaci, S. S. Kapoor, Rajendra Jinwal, Lillian Yau, Richard A. Larson

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsTolerabilityMedicineMyeloid leukemiaTyrosine-kinase inhibitorInternal medicineTyrosine kinaseNilotinibPhases of clinical researchOncologyImatinibPharmacologyAdverse effectClinical trialCancerReceptor

Abstract

fetched live from OpenAlex

Introduction: About 1/3rd of patients (pts) with newly diagnosed CML discontinue/switch treatments (Tx) regardless of TKI (imatinib [IMA], nilotinib [NIL], dasatinib [DAS], or bosutinib [BOS]). Many pts have poor quality of life on existing therapies. Tx-free remission is a key Tx goal, but only 30%-40% pts on IMA and 40%-50% on 2nd-generation (2G) TKIs meet discontinuation criteria. A frontline agent with a superior benefit-risk profile is needed. ASC is the first BCR::ABL1 inhibitor to Specifically Target the ABL Myristoyl Pocket. ASC4FIRST is a randomized phase 3 study of ASC vs all standard-of-care TKIs in newly diagnosed CML-CP. We present primary efficacy results and additional safety/tolerability data for ASC vs each IS TKI from the primary analysis (wk 48) data cutoff. Key secondary results from the wk 96 cutoff (Oct 21, 2024) will be presented at the 2024 ASH Meeting. Methods: Adults with newly diagnosed CML-CP were stratified by ELTS risk category and TKI (IMA/2G TKIs [NIL, DAS, or BOS]) selected by investigators before randomization, accounting for pt preference. Pts were randomized 1:1 to receive either ASC 80 mg once daily or an IS TKI at label doses. The 2 primary and 2 key secondary efficacy endpoints are major molecular response (MMR) rate at wk 48 and 96, respectively, with ASC vs IS TKI and with ASC vs IS TKI in the IMA stratum; time to Tx discontinuation due to adverse events (AEs) is a secondary safety endpoint. Results: In ASC4FIRST, 201 pts randomized to ASC and 204 to IS TKIs (IMA/2G TKIs) were included in efficacy analyses. Safety analyses were done in pts who received ASC (n=200), IMA (n=99), and 2G TKIs (NIL, n=49; DAS, n=42; BOS, n=11). At the wk 48 cutoff, after a median duration of follow-up of ≈16 months across study arms, Tx was ongoing in 86%, 62%, and 75% of pts on ASC, IMA, and 2G TKIs, respectively. Both primary objectives were met: MMR rate at wk 48 was superior with ASC (67.7%) vs IS TKIs (49.0%) (difference, 18.9%; 95% CI, 9.6%-28.2%; adjusted 2-sided P<.001) and with ASC (69.3%) vs IMA (40.2%) in the IMA stratum (difference, 29.6%; 95% CI, 16.9%-42.2%; adjusted 2-sided P<.001). The rates of optimal responses at wk 12 (BCR::ABL1IS ≤10%) and wk 24 (BCR::ABL1IS ≤1%), respectively, were higher with ASC vs IS TKIs (89.6% vs 70.1%; 88.6% vs 63.7%), ASC vs IS TKI in the IMA stratum (88.1% vs 59.8%; 88.1% vs 52.9%), and ASC vs IS TKI in the 2G TKI stratum (91.0% vs 80.4%; 89.0% vs 74.5%). Safety/tolerability of ASC was more favorable vs IMA and individual 2G TKIs. Grade ≥3 AEs were lower with ASC (38.0%) vs IMA (44.4%), NIL (51.0%), DAS (54.8%), and BOS (72.7%). Any-grade AEs leading to Tx discontinuation were lower with ASC (4.5%) vs IMA (11.1%), NIL (8.2%), DAS (11.9%), and BOS (9.1%), the most frequent (≥2% in any arm) being generalized edema (BOS, 9.1%), pleural effusion (DAS, 4.8%), cardiac failure, colitis, hypersensitivity, and muscular weakness (DAS, 2.4% each), lymphopenia and diarrhea (IMA, 2.0% each), QT prolongation, rash, and maculopapular rash (NIL, 2.0% each), and thrombocytopenia (ASC, 1.0%; NIL, 2.0%). Any-grade AEs leading to dose adjustment and/or interruption were lower with ASC (30.0%) vs IMA (39.4%), NIL (49.0%), DAS (54.8%), and BOS (63.6%). Arterial occlusive events occurred in 2 (1.0%) pts with ASC (arteriosclerosis coronary artery, n=1; cerebrovascular accident, n=1), 1 (1.0%) with NIL (vertebral artery arteriosclerosis), and 1 (1.0%) with DAS (myocardial infarction and ischemia). Two pts had cardiac failure with DAS. Any-grade AEs of special interest (≥5% in any arm), defined as serious or nonserious safety events of medical concern, were lower with ASC vs IMA and/or 2G TKIs and included gastrointestinal toxicity (34.5%, 42.4%, 48.0%), myelosuppression (43.0%, 51.5%, 62.7%), hypersensitivity (24.0%, 41.4%, 41.2%), hepatotoxicity (16.5%, 19.2%, 34.3%), acute pancreatitis (isolated enzyme elevations) (13.0%, 16.2%, 14.7%), hemorrhage (6.0%, 7.1%, 9.8%), edema and fluid retention (3.5%, 13.1%, 11.8%), and ischemic heart and CNS conditions (6.0%, 5.1%, 7.8%). Conclusions: In ASC4FIRST, ASC had a better benefit-risk profile compared with IS TKIs. ASC's superior efficacy vs all IS TKIs and more favorable safety/tolerability compared with each IS TKI (IMA, NIL, DAS, and BOS) suggests that ASC may transform the CML Tx paradigm. Key secondary endpoints, including MMR rate at wk 96, and other long-term secondary efficacy and safety/tolerability results, will be presented at ASH 2024.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.018
GPT teacher head0.287
Teacher spread0.268 · 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 designRandomized trial
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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Citations7
Published2024
Admission routes1
Has abstractyes

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