Rearrangements in Nucleoporin Family of Genes in Childhood Acute Myeloid Leukemia: A Report from Children Oncology Group and NCI/COG Target AML Initiative
Notice bibliographique
Résumé
Abstract Genetic alterations in the Nucleoporin (NUP) family of genes are involved in myeloid leukemogenesis and are associated with poor prognosis. We previously showed that NUP98-NSD1 is prevalent in acute myeloid leukemia (AML) and is highly associated with FLT3-ITD and dismal outcome. As genetic alterations in the NUP family are frequently cryptic by conventional karyotyping, their incidence has been underestimated. The COG/NCI TARGET AML initiative has performed comprehensive genome-wide characterization of diagnostic specimens from 200 pediatric AML cases in order to identify novel genetic lesions with prognostic and therapeutic significance. The interrogation of the whole genome and RNA sequencing data generated by this initiative identified numerous fusion transcripts involving the NUP family of genes, including NUP98-NSD1, NUP98-KDM5A, NUP98-HOXA9, NUP98-HMG3, NUP98-HOXD13, NUP98-PHF23, NUP98-BRWD3, CLINT-NUP98 and DEK-NUP214. All computationally identified NUP fusions were verified by orthogonal methodology and high-throughput screening assay was developed for frequency determination. The verified NUP fusions were screened in children treated on COG AAML0531 and AAML03P1 to define their prevalence, clinical characteristics and association with clinical outcome. The impact of NUP fusions was initially evaluated in patients with cytogenetically normal AML (CN-AML). NUP fusions were observed in 14.5% (35 of 242) patients: NUP98-NSD1 (N=21), DEK-NUP214 (N=3), NUP98-HMG3 (N=3), NUP98-HOXD13 (N=2), NUP98-PHF23 (N=2) and NUP98-KDM5A (N=4). The NUP fusions NUP98-BRWD3, NUP98-HOXA9 and CLINT-NUP98 were not found in CN-AML patients. Demographics and disease characteristics of CN-AML patients with and without NUP fusions were compared. Although patients of Asian descent comprised only 7% of the study population, they harbored significantly higher number of NUP fusions (29% vs 5%, P =0.002). Among those of Asian descent with CN-AML, 35% harbored a NUP fusion. We also noted an inverse association between NUP fusions and African-Americans where NUP fusions were not identified in any of African-American patients (P =0.031). NUP fusions were correlated with other common mutations in AML. NPM1 (9% vs 28%, P =0.007) and CEBPA (6% vs 19%, P =0.06) were rare in patients with NUP fusions, whereas FLT3/ITD (62% vs 34%, P =0.002) and WT1 (32% vs 8%, P <0.001) were significantly more prevalent in patients harboring NUP fusions. Patients with NUP fusions had a significantly lower complete remission (CR) rate (53% vs. 77%, P =0.004) and 5-year event free survival (EFS, 32% vs 53%, P =0.003) than those without N UP fusions. Given the high co-occurrence of NUP fusions and FLT3-ITD, we investigated the prevalence and clinical correlation of NUP fusions in all FLT3-ITD-positive patients. The prevalence of NUP fusions in FLT3-ITD patients was 26% (43 of 164). The CR rate was lower in patients co-expressing the NUP fusion and FLT3-ITD (40% vs 71%, P <0.001) than in those with FLT3-ITD alone. In addition, minimal residual disease (MRD) was more common in patients co-expressing NUP fusions and FLT3-ITD (68% vs 42%, P =0.008) than in those with FLT3-ITD alone. Finally, patients co-expressing FLT3-ITD and NUP fusions had a 5-year EFS of 28% vs 35% (P =0.093) for those with FLT3-ITD only. Next, we investigated the prevalence of NUP fusions in specific cytogenetic groups and found that NUP fusions were rare in patients with core binding factor and were not observed in patients with MLL rearrangements. In this study we report on the discovery, verification and frequency validation of NUP fusions, a new class of genetic alterations in AML. We demonstrate that NUP fusionsare common in pediatric patients and patients with CN-AML harboring NUP fusions have poor outcome and are more likely to have post-induction MRD than those without thesefusions. Furthermore, there is a high co-occurrence of FLT3-ITD and NUP fusions and patients harboring both genetic lesions have a lower CR rate and high post-induction MRD than those with FLT3-ITD alone. NUP fusions define a new subgroup of pediatric AML patients with an overall poor prognosis. AML harboring NUP fusions likely share similar mechanisms of leukemogenesis and targeting these genetic lesions will likely improve outcome in a significant subset of pediatric AML 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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| 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 ».