Clinical characteristics and outcomes of children with T-cell acute lymphoblastic leukemia harboring ABL-class fusions: A report from the ponte di legno consortium
Notice bibliographique
Résumé
Abstract Introduction: ABL-class acute lymphoblastic leukemia (ALL) is characterized by rearrangements of ABL1 or other ABL-family tyrosine kinases that drive uncontrolled cell growth. Children with ABL-class B-ALL treated without tyrosine kinase inhibitors (TKIs) achieve 5-year event-free survival (EFS) of 59% (Den Boer et al., Lancet Haematology, 2021). The addition of TKIs to chemotherapy-based therapy has substantially improved outcomes for BCR::ABL1-positive B-ALL. ABL-class fusions occur in 5-10% of T-cell ALL (T-ALL) cases, and small case series report aggressive disease with poor outcomes. However, comprehensive outcome data for pediatric ABL-class T-ALL remain limited. We describe the clinical characteristics, outcomes, and prognostic factors of children with T-ALL harboring ABL-class fusions. Methods: We conducted a multinational retrospective cohort study encompassing 14 collaborative groups from the Ponte di Legno (PdL) consortium. Demographic, clinical, treatment, and outcome data were collected for newly-diagnosed pediatric T-ALL patients harboring ABL-class fusions between 1987 and 2023. Results: The cohort comprised 196 patients with ABL-class T-ALL: 16 (8.2%) with BCR::ABL1 fusions, 136 (69.4%) with NUP214::ABL1 fusions and the remaining 44 (22.4%) with other ABL-class fusions “other-ABL” involving non-NUP214 ABL1 (n=28), ABL2 (n=2), PDGFRA (n=6) and PDGFRB (n=8). The median age at diagnosis was 8 years (range: 1 – 22 years). The median white blood cell (WBC) count was 82,600 cells/mm³ (range: 2,000-1,471,000). Patients with other-ABL had higher median WBC compared to those with BCR::ABL1 or NUP214::ABL1 fusions (217,500 vs. 39,000 vs. 72,400; p=0.0129). Of those with available treatment dates, 77.5% were treated in 2010 or later. Central nervous system (CNS) involvement was classified as CNS-2 in 35 patients (18.7%) and CNS-3 in 7 patients (3.7%). Cranial radiotherapy was administered to 35.9% of patients. Consolidation with hematopoietic stem cell transplantation (HSCT) in first complete remission (CR1) was performed in 18.6% of patients. TKIs were administered to 27 of 157 (17.2%) patients with available treatment data: BCR::ABL1 (n=9), NUP214::ABL1 (n=9) and other-ABL (n=9). Overall, 149/167 (89.2%) patients achieved morphologic complete remission (CR). Failure to achieve CR was highest among patients with other-ABL (25.0%) compared to those with BCR::ABL1 (15.4%) and NUP214::ABL1 (4.5%) fusions; p=0.0025. Among 140 patients with available end of induction (EOI) minimal residual disease (MRD) data, 45 (32.1%) patients were EOI MRD negative at the 0.01% threshold, 50 (35.7%) patients had MRD levels of 0.01% to <1% and 45 (32.1%) patients had levels ≥1%. With a median follow-up of 6.1 years for the 162 patients with outcome data, the 5-year EFS and overall survival (OS) for the entire cohort were 78.1% (95% CI 71.7% - 85.2%) and 83.6% (95% CI 77.7% - 90.1%), respectively. By fusion subtype, 5-year EFS and OS were 67.7% (95% CI 46.0% - 99.7%) and 75.5% (95% CI 54.9% - 100%) for BCR::ABL1; 80.8% (95% CI 73.2% - 89.3%) and 85.7% (95% CI 78.7% - 93.3%) for NUP214::ABL1; and 74.6% (95% CI 62.2% - 89.6%) and 81.2% (95% CI 69.5% - 94.9%) for other-ABL. The 5-year cumulative incidence of relapse was 16.2±10.5% for patients with BCR::ABL1, 14.1±3.6% for patients with NUP214::ABL1 and 13.0± 5.4% for patients with other-ABL. Among patients with non-BCR::ABL1 ABL-class T-ALL, the 5-year EFS was 70.0% (95% CI 51.0%- 96.2%) for those treated with TKIs (n=18) versus 79.8% (95% CI 72.5% - 87.7%) for those not treated with TKIs (n=117); p=0.5082. Among the 18 TKI-treated patients, there were 2 induction failures, 2 relapses and 1 treatment-related death. In univariate Cox regression analyses, only HSCT in CR1 (HR=3.21; p=0.006) was associated with inferior EFS for patients with non-BCR::ABL1 ABL-class T-ALL. In univariate analyses, none of the variables were significantly associated with OS. Conclusion: This large international cohort study has established the baseline characteristics and outcomes of children with ABL-class T-ALL. In contrast to ABL-class B-ALL, ABL-class T-ALL demonstrated comparable outcomes to non-ABL-class T-ALL. We could not demonstrate the benefit of TKI treatment among patients with non-BCR::ABL1 ABL-class T-ALL, although numbers in the TKI group were small. These findings provide important baseline data for future prospective studies evaluating novel therapies in pediatric ABL-class T-ALL.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 source (Gemma direct ou Codex distillé), 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 ».