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Enregistrement W2562528138 · doi:10.1182/blood.v126.23.174.174

CSF3R Mutations Represent a Novel Therapeutic Target in Pediatric AML with a High Degree of Overlap with CEBPA Mutations: a Report from COG AAML0531 and COG/NCI Target AML Initiative

2015· article· en· W2562528138 sur OpenAlexaff
Julia E. Maxson, Rhonda E. Ries, Yi‐Cheng Wang, Robert B. Gerbing, E. Anders Kolb, Sarah L. Thompson, Jaime M. Guidry Auvil, Marco A. Marra, Yussanne Ma, Stuart Zong, Andrew J. Mungall, Richard A. Moore, William D. Long, Patee Gesuwan, Tanja M. Davidsen, Leandro C. Hermida, Jason E. Farrar, Jerald P. Radich, Malcolm A. Smith, Daniela S. Gerhard, Alan S. Gamis, Todd A. Alonzo, Soheil Meshinchi

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensCanada's Michael Smith Genome Sciences Centre
Organismes subventionnairesnon disponible
Mots-clésCEBPAMedicineMissense mutationCohortMutationOncologyCogMyeloid leukemiaMyeloidCancer researchInternal medicineGeneticsBiologyGene

Résumé

récupéré en direct d'OpenAlex

Abstract Activating mutations in Colony Stimulating Factor 3 Receptor (CSF3R, aka GCSFR) are present in ~80% of patients with Chronic Neutrophilic Leukemia (CNL) Despite the high frequency of these mutations in CNL, they are quite rare in adult acute myeloid leukemia (AML), in which only a single CSF3R mutated case was found in the TCGA AML analysis (0.5%). We have previously demonstrated significant variation in genomic variants between pediatric and adult malignancies, thus prevalence of genomic variants identified in adults need be fully characterized in children. As part of COG/NCI TARGET AML initiative we interrogated the genomic makeup of 200 cases of childhood AML (discovery cohort) using whole genome sequencing and performed subsequent frequency determination of the variants in 787 unselected cases from COG AAML0531 (validation cohort). Somatic variants in CSF3R were initially found to be recurrent in the discovery cohort and underwent frequency determination in the validation cohort to establish their prevalence and correlations with clinical characteristics and outcome. Frequency determination of CSF3R mutation in 787 pediatric patients with available CSF3R data from AAML0531 identified 16 distinct CSF3R mutations in 28 patients (3.6%). Somatic mutations in CSF3R identified in pediatric AML included known oncogenic variants mutations such as T618I and T615A, previously identified in adult CNL studies as well as novel truncations of the CSF3R cytoplasmic domain (Q749X, Y767fs, Y787X and P819/820fs), and missense mutations (E149D, A208V, R223Q, E405K, A431V, and Q516K). Interestingly, although CSF3R truncations usually occur along with a T618I or T615A mutation in CNL/aCML, these two mutation categories were mutually exclusive in pediatric AML. Initial correlation of all CSF3R variants with demographic and clinical/laboratory parameters determined that CSF3R variants were less prevalent in younger patients (age 0-2, p=0.039), with significantly higher association with t(8;21) (32% vs. 14%, p=0.012) and CEBPA mutations (35% vs. 5%, p<0.001). Cumulatively, 18/28 patients with CSF3R mutations (64%) had either CBF translocations or CEBPA mutations and as a result, CSF3R mutation was highly associated with favorable risk (p=0.02) and inversely associated with standard risk disease (p=0.007). Actuarial overall survival at 5 years for patients with and without CSF3R mutations was 91% vs. 64%, respectively (p<0.001). In order to determine the oncogenic potential of the newly discovered variants, all untested variants (N=12) were cloned and expressed in Ba/F3 cells in order to determine whether these variants can bestow cytokine independence to these cells. Of the 16 total CSF3R variants identified, 8 variants present in 18 patients exhibit oncogenic capacity (T615A, T618I, T640N, Q749X, Y767fs, S783fs, Y787X and F819fs). All of the novel variants that exhibited oncogenic potential were truncating mutations. Compared to non-mutated cases, transforming CSF3R variants had a significant association with CEBPA mutations (44% vs. 5%, p<0.001), and led to significant association of CSF3R with favorable risk disease (67% vs. 39%, p=0.019). Actuarial overall survival at 5 years for those with and without transforming CSF3R mutations was 87% vs. 64%, (p=0.047). CSF3R mutations define a distinct molecular subset of pediatric AML, which could be therapeutically targeted in the future using kinase inhibitors such as ruxolitinib. The oncogenic CSF3R mutations found in pediatric AML are either the same point mutations or similar truncation mutations as seen in CNL, suggesting that other cooperating genomic alterations may be important in directing these distinct diseases. Interestingly, we found that the majority of pediatric AML patients with CSF3R mutation have either a core binding factor alteration (such as t(8;21)) or a mutation in CEBPA. The enrichment of CEBPA mutations with CSF3R mutations is particularly striking, as CEBPA mutations are ~9 fold more frequent in patients with transforming CSF3R mutations than those without. Understanding the role of cooperating genomic alteration in CSF3R-driven myeloid malignancies will be the subject of future work. The authors would like to gratefully acknowledge the important contributions of the late Dr. Robert Arceci to the AML TARGET initiative. Disclosures Radich: Novartis: Consultancy, Research Funding; Incyte: Consultancy; Gilliad: Consultancy; Ariad: Consultancy.

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 enseignants0,003
Score d'incertitude au seuil0,007

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)0,0000,000

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 Opus0,054
Tête enseignante GPT0,299
Écart entre enseignants0,246 · 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

Citations2
Publié2015
Routes d'admission1
Résumé présentoui

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