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Enregistrement W4417010243 · doi:10.1182/blood-2025-548

Outcomes after relapse for adolescent and young adult patients with ALL: Results from the Children's oncology group

2025· article· en· W4417010243 sur OpenAlexaff
Jordyn Griffin, Lingyun Ji, Alice Dang, Xinxin Xu, Loretta Y. Li, Naomi Winick, William L. Carroll, Stephen P. Hunger, Elizabeth A. Raetz, Mignon L. Loh, Michael J. Borowitz, Brent L. Wood, Mary Shago, Nyla A. Heerema, Andrew J. Carroll, Jennifer L. McNeer, Deepa Bhojwani, Susan R. Rheingold

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Lymphoblastic Leukemia research
Établissements canadiensHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésYoung adultClinical trialProportional hazards modelMinimal residual diseaseMultivariate analysisDiseaseHazard ratioAcute lymphocytic leukemiaChemotherapy regimen

Résumé

récupéré en direct d'OpenAlex

Abstract Background Outcomes for adolescents and young adults (AYAs) with acute lymphoblastic leukemia (ALL) are improving, yet little is known specifically about their outcomes after relapse. A recent study from the Children's Oncology Group (COG) identified risk factors for overall survival (OS) after relapse for patients with ALL enrolled on frontline clinical trials from 1996 to 2014 [Rheingold et al Leuk (2024) 38: 2382]. Here we report relapse outcomes for the AYAs enrolled on these trials. Methods Patients with de novo B- or T-ALL enrolled on twelve frontline clinical trials were reviewed retrospectively. AYA patients (aged ≥15 years at initial diagnosis) who relapsed were analyzed. Univariate and multivariate Cox regression models assessed the impact of patient and disease characteristics on OS following relapse. Statistical significance was set at p <0.05. Analyses were performed using SAS software (version 9.4). Results Among 16,115 patients enrolled, 2,053 (12.7%) relapsed, including 257 AYAs between the ages of 15 and 29 at initial diagnosis. The OS rate at 5 years (± standard error) after relapse for AYAs was 27.7 ± 3.0%, versus 37.9 ± 2.8% for 10-14 year-olds and 57.9 ± 1.4% for 1-9 year-olds (p <0.001). In multivariable analysis, neither race, white blood cell count (WBC) >100,000/µL at initial diagnosis, nor minimal residual disease (MRD) at the end of initial induction were significantly associated with OS post relapse. However, traditional relapse risk stratification measures, such as isolated central nervous system (CNS) relapse and longer time from initial diagnosis to relapse correlated with better outcomes in AYAs (p<0.001). The 217 AYAs with B-ALL had a 5-year post-relapse OS of 27.7 ± 3.3% compared to 40.9 ± 3.0% for 10-14 year-olds and 59.7 ± 1.5% for 1-9 year-olds (p <0.001). B-ALL AYAs with isolated CNS relapse had better outcomes compared to AYAs with an isolated bone marrow (BM) relapse (hazard ratio (HR) [95% confidence interval (CI)] = 0.38 [0.23, 0.66], p <0.001). For AYAs with B-ALL, time from initial diagnosis to relapse was also significantly associated with OS post relapse, with a longer duration of initial remission (18-35 months or ≥36 months) associated with improved outcomes (HR [95% CI] = 0.37 [0.24, 0.58] and 0.18 [0.11, 0.28], respectively, p <0.0001 in both cases). There was a trend towards worse 5-year post-relapse OS for B-ALL AYAs of Hispanic ethnicity of all races (19.9 ± 5.4%), end of initial induction (EOI) MRD ≥0.1% (17.8±4.4%), and presenting WBC >100,000/µL (12.4 ± 5.2%), but these factors did not reach statistical significance. T-ALL data are limited by small sample size (40 patients), but similar trends emerged. The 5-year post-relapse OS for AYAs was 29.0 ± 7.7%, while the OS for 10-14 year-olds was 18.1 ± 6.0% and for 1-9 year-olds was 43.0 ± 4.3% (p <0.001). An initial WBC >100,000/µL correlated with worse OS post relapse compared to an initial WBC <50,000/µL (HR [95% CI] = 8.23 [1.68, 40.17], p=0.009). T-ALL AYAs with an isolated CNS relapse again tended to have better outcomes compared to AYAs with an isolated BM relapse (HR [95% CI] = 0.16 [0.02, 1.09], p=0.062), but there was not a significant difference in outcomes for AYAs with either combined or isolated (with or without CNS involvement) BM relapse (HR [95% CI] = 1.76 (0.32, 9.58), p = 0.51). While not statistically significant, Hispanic ethnicity and non-White race, MRD at the end of initial induction ≥0.1%, and time <36 months from initial diagnosis to relapse appeared to be associated with inferior outcomes. Conclusion AYA patients with ALL have poor outcomes after relapse, and current COG and other cooperative group studies stratify patients age ≥18 years at the time of relapse as high risk. Our data indicate that age at the time of diagnosis is also correlated with post-relapse outcomes, with patients ≥15 years at the time of diagnosis faring poorly after relapse. This suggests that perhaps age at the time of diagnosis should be considered in relapse risk stratification as well, and further work with this data set can focus on not only age at diagnosis, but also age at the time of relapse. Current frontline and relapse treatment studies are now focusing on the incorporation of immunotherapies which may lead to improved outcomes, but our findings highlight the need for continued attention to AYAs as a particularly high-risk 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)0,003
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 enseignants0,004
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,007
Tête enseignante GPT0,258
Écart entre enseignants0,251 · 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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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