Pediatric Acute Megakaryoblastic Leukemia without Down Syndrome: A Retrospective Study by the International Berlin-Frankfurt-Munster Study Group (I-BFMSG)
Notice bibliographique
Résumé
Abstract Acute megakaryoblastic leukemia (AMKL) comprises up to 10% of childhood acute myeloid leukemia (AML) cases. However, no large-scale studies have comprehensively evaluated the clinical characteristics and outcomes of patients with AMKL. We performed a large-scale international retrospective study of pediatric patients (diagnosed at age ≤18 years) with de novoAMKL without Down syndrome treated from 1989 to 2009. The study included 490 patients with AMKL, which comprises 7.9% of the pediatric AML patients treated by 19 members of the I-BFMSG. At diagnosis, the median age of patients was 1.5 years (range, 0.0–16.5 years), median white blood cell count was 12.0×109/L (range, 0.6–188.0×109/L), 23 (4.7%) patients showed central nervous system involvement, and both sexes were equally represented. Complete remission (CR) was achieved in 417 (85.1%) patients, and 5-year event-free (EFS) and overall survival (OS) rates were 43.7%±2.7% and 49.0%±2.7%, respectively. Allogeneic hematopoietic stem cell transplantation (allo-HSCT) was performed in 206 (42.0%) patients. The 5-year disease-free survival and OS rates for patients who received allo-HSCT in first CR (n=112, 56.3%±5.2%, and 57.7%±5.2%, respectively) and for those who did not receive transplantation in first CR (n=298, 50.2%±3.6% and 55.2%±3.5%) were not significantly different (P=0.12 and P=0.57). Complete cytogenetic data were available for 372 (75.9%) patients: diploid (n=49, 13.2%), hypodiploid (n=18, 4.8%), pseudodiploid (n=119, 32.0%), 47–50 chromosomes (n=142, 38.2%), and >50 chromosomes (n=44, 11.8%). Chromosome gain occurred in 195 (52.4%) patients: +21 was the most common (n=106, 28.5%), followed by +19 (n=93, 25.0%), and +8 (n=77, 20.7%). Losses occurred in 65 cases (17.5%), in the decreasing order of –7 (n=13, 3.5%), –9 (n=9, 2.4%), –13, and –15 (n=7 each, 1.9%). Structural chromosomal aberrations were observed in 278 (74.7%) patients, most commonly t(1;22) (n=51, 13.7%) and 11q23 rearrangements (n=38, 10.2%) with t(9;11) in 21 patients. Other abnormalities included 7p (n=43, 11.6%) and 13q (n=31, 8.3%; 16 with deletions) breakpoints. Patients with t(1;22) were significantly younger at diagnosis (P<0.001; median 0.6 years, range 0.0–6.3 years) and more often female (P=0.05; 64.7%) while those with –7 were significantly older (P=0.006; median 4.2 years, range 0.4–15.0 years) than those with other cytogenetic subgroups. Multiple regression analysis for EFS and OS with clinical and cytogenetic features showed that treatment period (1989–1999 vs. 2000–2009), normal cytogenetics, –7, t(9;11), 13q-, and –15 were associated with significantly worse outcomes than those for other subgroups, whereas abnormalities in 7p were associated with better outcomes (Table). Patients with –13 and 9p abnormalities other than t(9;11) had a poorer EFS and OS, respectively. Patients with +21 or t(1;22) did not show a significant difference in survival rates. This international study on the largest cohort of AMKL patients analyzed to date shows heterogeneity in cytogenetic findings and identifies some subgroups with a particularly dismal outcome. The advent of newer methods to evaluate genetic lesions can help identify therapeutic targets for improving the outcome in this subgroup of patients. Disclosures No relevant conflicts of interest to declare.
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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 | 0,001 |
| 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 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| 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 ».