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Record W4417011144 · doi:10.1182/blood-2025-1997

Asciminib (ASC) demonstrates continued improvement in patient-reported outcomes (PROs) vs investigator-selected tyrosine kinase inhibitors (IS-TKIs) in newly diagnosed chronic myeloid leukemia (CML): ASC4FIRST week 96 analysis

2025· article· en· W4417011144 on OpenAlexaff
Jörge E. Cortes, Andreas Hochhaus, Kathryn E. Flynn, Felice Bombaci, Ghayas C. Issa, Richard A. Larson, Jianxiang Wang, Dong‐Wook Kim, Dennis Kim, Jiří Mayer, Yeow Tee Goh, Philipp le Coutre, In Ho Kim, Gabriel Étienne, S. S. Kapoor, Rajendra Jinwal, Kamel Malek, Lillian Yau, Timothy P. Hughes, Naoto Takahashi

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsAdverse effectQuality of life (healthcare)Clinical trialRandomized controlled trialNilotinibMyeloid leukemiaClinical endpointTyrosine-kinase inhibitor

Abstract

fetched live from OpenAlex

Abstract Introduction Long-term TKI therapy for patients (pts) with CML is efficacious but is associated with adverse events (AEs) affecting quality of life (QOL). Even low-grade AEs can inhibit QOL, resulting in treatment nonadherence and subsequently poor clinical outcomes. Thus, effective management of CML requires assessing the impact of treatment-emergent AEs on QOL. ASC, the first BCR::ABL1 inhibitor to Specifically Target the ABL Myristoyl Pocket, is approved in several countries for pts with newly diagnosed CML in chronic phase (CP) based on superior clinical outcomes vs IS-TKIs in the pivotal phase 3 ASC4FIRST trial (NCT04971226). In the wk 48 ASC4FIRST PRO analysis, ASC vs IS-TKIs was associated with improved health-related QOL (HRQOL) and reduced symptom burden. Here, we present PROs from the wk 96 analysis (data cutoff: Oct 22, 2024). Methods Adults with newly diagnosed CML-CP were randomized 1:1 to receive ASC or an IS-TKI, stratified by ELTS risk category and prerandomization-selected TKI (imatinib [IMA]/second-generation [2G] TKI). Wk 96 PRO secondary endpoints were change from baseline (BL) in scores and individual scales for EORTC QLQ-C30 and EORTC QLQ-CML24; improvement corresponded to a change from BL in functional/satisfaction and global health status/QOL scales (increase of >5) or symptom/item scores (decrease of >5). PRO-CTCAE items and FACIT-GP5 will be reported separately by Hughes et al. Pts completed questionnaires on electronic devices at BL and scheduled study visits. Results A total of 405 pts were randomized to ASC (ASCIMA, n=101; ASC2G, n=100) or IS-TKIs (IS-TKIIMA, n=102; IS-TKI2G, n=102); median duration of follow-up was 26.9 and 26.3 months per arm, respectively. Completion rates were balanced with ASC vs IS-TKI for EORTC QLQ-C30 (BL, 57.7% vs 59.0%; wk 96, 76.2% vs 65.2%) and EORTC QLQ-CML24 (BL, 56.2% vs 56.4%; wk 96, 75.5% vs 65.2%). Per EORTC QLQ-C30 at wk 96 vs BL, the following proportions of pts on ASCIMA and IS-TKIIMAand on ASC2G and IS-TKI2G had improvement in the physical (31.3% and 17.6%; 43.5% and 40.0%), role (18.8% and 5.9%; 20.6% and 8.6%), cognitive (18.7% and 5.9%; 18.0% and 8.6%), social (25.0% and 17.7%; 33.3% and 22.9%), and emotional (40.7% and 23.5%; 35.9% and 34.2%) functional scales, respectively.The proportions of pts reporting improvement with ASCIMA and IS-TKIIMAand with ASC2G and IS-TKI2G across symptoms included: fatigue (43.8% and 11.8%; 43.6% and 28.5%), nausea/vomiting (15.6% and 0.0%; 7.7% and 2.9%), diarrhea (18.8% and 17.6%; 10.3% and 11.4%), pain (15.7% and 5.9%; 33.4% and 14.3%), dyspnea (9.4% and 0.0%; 12.8% and 5.7%), insomnia (18.8% and 5.9%; 12.8% and 20.0%), appetite loss (25.0% and 5.9%; 25.6% and 11.4%), and constipation (18.8% and 11.8%; 7.7% and 20.0%), respectively. The proportion of pts on ASCIMA and IS-TKIIMAand on ASC2G and IS-TKI2Gwho had improvement with financial difficulties was (18.8% and 29.4%; 23.1% and 20.0%). Overall, 37.5% vs 17.7% of pts receiving ASCIMA vs IS-TKIIMA and 58.9% vs 28.6% receiving ASC2G vs IS-TKI2G, respectively, had improvements in global health status/QOL. Change from BL to wk 96 in EORTC QLQ-CML24 satisfaction/symptom scale scores with ASCIMA vs IS-TKIIMAand with ASC2G vs IS-TKI2G, respectively, showed that higher proportions of pts had improvements in symptom burden (27.5% vs 0.0%; 46.1% vs 20.6%), impact on daily life (62.0% vs 23.5%; 58.9% vs 47.1%), impact on worry/mood (48.2% vs 29.5%; 58.9% vs 41.2%), body image problems (27.6% vs 0.0%; 28.2% vs 11.8%), and satisfaction with care and information (41.4% vs 29.4%; 53.8% vs 29.4%). Improvement in satisfaction with social life was reported by 24.1% and 23.5% of pts on ASCIMA and IS-TKIIMA,and 41.0% and 20.6% on ASC2G and IS-TKI2G, respectively. Exploratory sensitivity analyses evaluating the impact of missing BL PRO data concluded that there was no substantial impact on observed PROs. Conclusions Overall,ASC continued to be associated with improved HRQOL and reduced symptom burden vs IS-TKIs, regardless of strata, in the wk 96 PRO analysis of ASC4FIRST. Considering the superior efficacy and favorable safety and tolerability of ASC in ASC4FIRST observed at wk 96, these PRO findings reinforce ASC as a standard of care for pts with newly diagnosed CML-CP. Longer follow-up of PRO evaluations is warranted and may support long-term QOL benefit of ASC in pts with CML-CP.

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)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.009
GPT teacher head0.245
Teacher spread0.236 · 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 designNon-randomized 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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Citations1
Published2025
Admission routes1
Has abstractyes

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