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Enregistrement W2987282083 · doi:10.1182/blood-2019-126723

High-Dose Cytarabine Is Indispensable for the Survival of Children with Myeloid Leukemia of Down Syndrome Despite Negative Minimal Residual Disease Post-Induction

2019· article· en· W2987282083 sur OpenAlexaff
Johann Hitzler, Jason N. Berman, Robert B. Gerbing, Amy Beckman, Betsy Hirsch, Susana C. Raimondi, Todd E. Druley, Michael R. Loken, Lisa Eidenschink Brodersen, Karen M. Chisholm, Shelton A. Viola, Jeffrey W. Taub, Alan S. Gamis, Todd A. Alonzo, E. Anders Kolb

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensIzaak Walton Killam Health CentreHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésCytarabineMedicineInternal medicineMyeloid leukemiaLeukemiaGastroenterologyOncologyPediatrics

Résumé

récupéré en direct d'OpenAlex

Introduction. Myeloid leukemia in children with Down syndrome (ML-DS) is a unique subtype of acute myeloid leukemia, distinguished by an earlier age of onset (under 4 years of age); somatic mutations of GATA1; hypersensitivity of leukemic blasts to cytarabine and other chemotherapeutic agents; lack of CNS involvement; and superior event-free survival (EFS, 85-90% at 5 years). Due to these excellent outcomes, successive protocols by the Children's Oncology Group (COG) have aimed for a reduction of treatment intensity but continue to include a course containing high-dose cytarabine (HD-AraC) for all patients, which is associated with the bulk of infectious toxicity. COG AAML1531 is the first study to evaluate differential treatment for ML-DS patients based on risk-stratification. We report the outcomes for patients with Standard Risk (SR) ML-DS enrolled on AAML1531, who were treated without inclusion of HD-AraC (https://clinicaltrials.gov/ct2/show/NCT02521493?term=AAML1531&rank=1). Methods. Patients older than 90 days and younger than 4 years of age with ML-DS were eligible, including those presenting with myelodysplastic syndrome (< 20% blasts in the bone marrow) and trisomy 21 mosaicism. Pathological and cytogenetic data were reviewed centrally. All patients received the same first course of induction therapy (cytarabine 200 mg/m2/24h IV as continuous infusion, day 1-4; daunorubicin 20 mg/m2IV, day 1-4; thioguanine 50 mg/m2/dose PO twice daily, day 1-4; and a single dose of age-based intrathecal cytarabine on day 1). After this first course, measureable residual disease (MRD) in the bone marrow by multi-dimensional flow cytometry in a reference laboratory was used for risk stratification. Patients with negative MRD (<0.05%) were assigned to Standard Risk (SR) therapy, which was modeled after the AAML0431 predecessor study, but with further reduction of treatment by omission of the course containing HD-AraC/E. coli asparaginase (Induction II of AAML0431). Courses #2 and #3 of SR therapy were identical to the first course except that no further intrathecal chemotherapy was administered. Courses #4 and #5 (cytarabine 100 mg/m2/24h IV as continuous infusion day 1-7; etoposide 125 mg/m2 IV, day 1-3) were identical to the corresponding courses of AAML0431. For patients younger than 36 months, chemotherapy doses were calculated based on weight. Use of dexrazoxane during anthracycline-containing courses was at the discretion of the treating center but was captured by the data collection of the study. Patients with positive MRD (>0.05%) after the first course were assigned to the High Risk (HR) Arm and received intensified therapy (equivalent to that used for non-DS AML). Accrual to the HR arm is ongoing. Results. Interim analysis of SR therapy was performed after 50% of expected EFS events had occurred as of June 30, 2018. The observed EFS was 89.3 +/- 6.1% at 2 years from study entry and significantly lower than expected for comparable MRD-negative patients whose treatment in predecessor study AAML0431 included a course of HD-AraC/E. coliasparaginase (p=0.0002). OS at 2 years was 88.7 +/- 6.8%. Among a total of 114 SR ML-DS patients, 11 developed a relapse, all within the first year from study entry (range 136-327 days). OS at 1 year from relapse was 9.1 +/- 17.3%. Based on the results of interim analysis, the SR arm of AAML1531 was closed to accrual due to lack of efficacy. Cytogenetic analysis showed that complex karyotypes (defined as >3 independent abnormalities including >1 structural one) were significantly more frequent in SR patients who relapsed (40%, n=10) compared to SR patients who did not (9%; n=100; p=0.017). The most common abnormalities were trisomies (61% of cases) of chromosomes 3 and 8, and a gain of a fourth copy of chromosome 21. Monosomy 7 was present in 20% of relapsed vs. 5% of patients without a relapse (p=0.122). Conclusions. MRD measured by multi-dimensional flow cytometry is insufficient to identify a subset of ML-DS patients for whom HD-AraC/E.coliasparaginase can be eliminated from treatment. Cytogenetic profiling may aid in further refining risk-based subsets of ML-DS patients. Additional approaches to risk stratification of ML-DS should be pursued, which take into account the emerging genetic events that co-operate with mutant GATA1 in the development of ML-DS. At this time, HD-AraC/E.coli asparaginase should be included in the treatment of ML-DS, regardless of MRD. Disclosures Druley: Washington University: Employment; ArcherDX Inc.: Employment, Equity Ownership. Loken:Hematologics, Inc: Employment, Equity Ownership. Eidenschink Brodersen:Hematologics, Inc: Employment.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
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 enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
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 Opus0,012
Tête enseignante GPT0,250
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

Citations3
Publié2019
Routes d'admission1
Résumé présentoui

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