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Enregistrement W7108451088 · doi:10.1182/blood-2025-73

Distinct patterns of mutant ASXL1 over time and their implications for treatment failure (TF) and BCR::ABL1 mutation development in newly diagnosed patients with chronic myeloid leukemia in chronic phase (CML-CP) treated with asciminib (ASC) vs investigator-selected tyrosine kinase inhibitors (IS-TKI) in the ASC4FIRST study

2025· article· en· W7108451088 sur OpenAlexaff

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésProportional hazards modelMyeloid leukemiaMutationAlleleMultivariate analysisGenotypeAllele frequencySurvival analysis

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: ASC, an allosteric BCR::ABL1 inhibitor, was recently approved in several countries for use in newly diagnosed patients (pts) with CML-CP based on the results from the ASC4FIRST study (NCT04971226). The most frequent additional genomic alteration (AGA) at baseline (BL) reported in this study was ASXL1 mutation (ASXL1+). The allelic burden of ASXL1+ clones at BL was incidentally higher in pts receiving ASC (24% variant allele frequency [VAF]) vs IS-TKI (10% VAF). ASXL1+ at BL was associated with increased risk of TF (as per ELN 2020 criteria). Here, we report an exploratory analysis of the longitudinal changes of ASXL1+ from BL in relation to outcomes until week (wk) 96 follow-up. Methods: Presence of AGAs was determined ​​using a DNA next-generation sequencing panel of 89 genes on diagnostic blood samples collected at BL, wk 48 and end of treatment (EOT). A multivariable Cox proportional hazards regression model with time-dependent covariates adjusted for age, sex and treatment (ASC or IS-TKI) was used to determine the prognostic and predictive value of AGAs considering their changes over time. Pts harboring AGAs were categorized as presenting persistent, eradicated or treatment-emergent clones. Results: Of 405 pts randomized, AGA analysis was performed at BL for 341 pts (ASC, n=169; IS-TKIs, n=172 [imatinib, n=83; second generation TKI, n=89]) with the available samples. AGAs were detected at BL in 21.1% (72/341) of pts (32/169 ASC vs 40/172 IS-TKI). The most frequent AGA detected was ASXL1+ in 11% (39/341) of pts at BL and in 15% (50/341) at any time until wk 96/EOT. Three patients with ASXL1+ at BL had no post-BL genomic data. Other AGAs detected were not included in the analysis due to low frequencies of events for individual mutated genes. On-treatment emergence of at least one new ASXL1+ clone was observed in 12 pts (6 ASC vs 6 IS-TKI). In 6 pts with an emergent ASXL1+ clone at wk 48 (VAF: 1%−10%), major molecular response (MMR) was achieved at the same time. In these 6 cases, clonal hematopoiesis (CH) in non-leukemic clones was suspected. ​For the other 6 pts, ASXL1+ emergence likely took place in leukemic clones. Eradication of BL ASXL1+ was observed in 74% (29/39) of pts irrespective of initial clonal burden (VAF: 1.2%–44%). ASXL1+ clones detectable at BL were persistent at the last evaluation in 6 pts (4 ASC vs 2 IS-TKI). Pts with ≥1 persistent ASXL1+ clone had a higher probability of TF as compared to pts who had on-treatment eradication of BL ASXL1+ clones in either treatment arm. Summarized at pt level, TF was observed in 5/6 pts with persistent vs 4/29 pts with eradicated clones (Fisher test; p=0.03). Treatment-emergent BCR::ABL1 mutations were associated with persistent ASLX1+ in 5/6 cases vs 1/29 cases among pts who had on-treatment eradication of ASXL1+ clones. Overall, detectable ASXL1+ at any time during the study was a prognostic and a predictive factor for TF. For pts with no ASXL1 mutation at any time point (85%; 291/341 pts), the TF rate was considerably lower for ASC (8%; 12/145 pts) than for IS-TKI (28%; 41/146 pts). The overall TF rate was comparable between treatment arms (8/24 on ASC vs 9/26 on IS-TKI) among patients with detectable ASXL1+ at any time. Although the ASC arm showed a higher TF risk difference in ASXL1+ compared to ASXL1-negative pts, this may be due to the higher baseline ASXL1+ clonal burden in the ASC group. In the larger subset of ASXL1-negative pts, the MMR rate at wk 96 was 80% (116/145) for ASC and 51% (74/146) for IS-TKI, while the MMR rate was comparable for pts on ASC (13/24; 54%) vs IS-TKI (12/26; 46%) in the subset with detectable ASXL1+ at any time during the study. Conclusions: ASXL1+ was the most frequent AGA in ASC4FIRST and was associated with higher rates of TF and BCR::ABL1 mutations. The number of emergent ASXL1 mutations on treatment was low and similar in both treatment arms. Most of the ASXL1+ clones were eradicated on treatment and the initial allelic burden at BL was not associated with persistence or eradication. TF risk was lower for pts with eradicated ASXL1+ clones. Data from this exploratory analysis in ASC4FIRST support the use of ASC in newly diagnosed CML-CP pts regardless of ASXL1 mutational status. Additional investigations in larger cohorts and longer follow-up are warranted to further elucidate the risks associated with different patterns of ASXL1+ over time and to develop optimized therapeutic strategies in this population.

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)0,002
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 enseignants0,002
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,009
Tête enseignante GPT0,247
Écart entre enseignants0,238 · 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

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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