S155: EFFICACY AND SAFETY RESULTS FROM ASCEMBL, A PHASE 3 STUDY OF ASCIMINIB VS BOSUTINIB IN PATIENTS WITH CHRONIC MYELOID LEUKEMIA IN CHRONIC PHASE AFTER ≥2 PRIOR TYROSINE KINASE INHIBITORS: WK 96 UPDATE
Notice bibliographique
Résumé
Background: Asciminib is the 1st BCR::ABL1 inhibitor to Specifically Target the ABL Myristoyl Pocket (STAMP). In the ASCEMBL primary analysis, asciminib had superior efficacy and better safety/tolerability vs bosutinib (BOS) in patients (pts) with chronic myeloid leukemia in chronic phase (CML-CP) after ≥2 prior tyrosine kinase inhibitors (TKIs). Major molecular response (MMR) rate at wk 24 was 25.5% on asciminib vs 13.2% on BOS; the difference in MMR rates after adjusting for baseline major cytogenetic response (MCyR) was 12.2% (95% CI, 2.19%-22.30%; 2-sided P=.029). Fewer grade ≥3 adverse events (AEs) and AEs leading to treatment discontinuation occurred on asciminib vs BOS. After a median follow-up of 2.3 years (16.5 months’ additional follow-up since the primary analysis), we report updated efficacy and safety results (cutoff: October 6, 2021). Aims: The key secondary objective was to compare MMR rate at wk 96 on asciminib vs BOS. Methods: Eligible pts provided informed consent, were adults with CML-CP after ≥2 prior TKIs, with intolerance or lack of efficacy per 2013 European LeukemiaNet recommendations. They were randomized 2:1 to asciminib 40 mg twice daily or BOS 500 mg once daily, stratified by baseline MCyR status (Ph+ metaphases ≤35%). Results: 233 pts were randomized to asciminib (n=157) or BOS (n=76). At cutoff, treatment was ongoing in 84 (53.5%) and 15 (19.7%) pts, respectively; the most common reason for discontinuation was lack of efficacy in 38 (24.2%) and 27 (35.5%) pts, respectively. MMR rate at wk 96 (per ITT) was 37.6% on asciminib and 15.8% on BOS, meeting the key secondary objective. The difference after adjusting for baseline MCyR was 21.7% (95% CI, 10.5%-33.0%; 2-sided P=.001). Preplanned subgroup analyses showed that MMR rate at wk 96 was consistently higher with asciminib than BOS in all demographic and prognostic subgroups, including all prior lines of TKI therapy, and regardless of the reason for discontinuation of the last TKI (Figure). At wk 96, more pts on asciminib than BOS had BCR::ABL1IS ≤1% (45.1% vs 19.4%) (Table). Responses were durable, with a probability (95% CI) of maintaining MMR and BCR::ABL1IS ≤1% for ≥72 wk of 96.7% (87.4%-99.2%) and 94.6% (86.2%-97.9%), respectively, on asciminib and 92.9% (59.1%-99.0%) and 95.0% (69.5%-99.3%), respectively, on BOS. Median time to treatment failure was 24 months on asciminib and 6 months on BOS. Median duration (range) of exposure was 103.1 (0.1-201.1) wk on asciminib and 30.5 (1.0-188.3) wk on BOS. Despite asciminib’s longer duration of exposure, its safety/tolerability continued to be better than that of BOS (Table). Fewer pts on asciminib than BOS had AEs leading to treatment discontinuation (7.7% vs 26.3%). No new on-treatment deaths were reported since the primary analysis. Most frequent (>10%) grade ≥3 AEs on asciminib vs BOS were thrombocytopenia (22.4%, 9.2%), neutropenia (18.6%, 14.5%), diarrhea (0%, 10.5%), and increased alanine aminotransferase (0.6%, 14.5%). Image:Summary/Conclusion: After >2 years of follow-up, asciminib continued to show clinically and statistically significant, superior efficacy and better safety/tolerability vs BOS. Responses were durable, and MMR was more than double on asciminib than BOS. The difference in MMR rates between the 2 arms increased from 12.2% at wk 24 to 21.7% at wk 96. A higher proportion of pts had BCR::ABL1IS ≤1%, a milestone response in later lines that is associated with improved long-term survival. These results further support the use of asciminib as a new CML therapy, with the potential to transform standard of care.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».