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Enregistrement W2551167602 · doi:10.1182/blood.v116.21.lba-3.lba-3

GATA2 is a New Predisposition Gene for Familial Myelodysplastic Syndrome (MDS) and Acute Myeloid Leukemia (AML)

2010· article· en· W2551167602 sur OpenAlexaff
Hamish S. Scott, Christopher N Hahn, Catherine Carmichael, Ella Wilkins, Chan‐Eng Chong, Peter J Brautigan, Xiaochun Li, Milena Stanković, Ming Lin, Amandine Carmagnac, Carolyn M Butcher, Kathryn Friend, Paul G. Ekert, Chung Hoow Kok, Anna Brown, Ian D. Lewis, Luen Bik To, Andrew E. Timms, Jan Storek, Sarah Moore, Meryl Altree, Robert Escher, Peter Bardy, Graeme Suthers, Richard J. D’Andrea, Marshall S. Horwitz

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésCEBPAGeneticsBiologyMissense mutationGATA2MutationMyeloid leukemiaCancer researchGeneTranscription factor

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract LBA-3 Mutations in the transcription factor genes, RUNX1 and CEBPA, can lead to an autosomal dominant familial predisposition to MDS/AML. Using a candidate gene approach, we have detected domain specific heterozygous mutations in the GATA2 gene in 4 MDS/AML families which predispose to MDS/AML. The same novel heterozygous T354M missense mutation was observed in 3 families and a 355delT mutation in 1 family, all with multigenerational transmission of MDS and/or MDS/AML. Importantly, these genetic variants segregate with all affected members in each of the families. The 2 mutated threonine residues are in 5 consecutive highly conserved threonine residues at the DNA-binding, protein-protein interacting second zinc finger (ZF2) of GATA2. Neither these mutations, nor any other variants in the GATA2 coding sequence, were seen in a population screen of 695 normal individuals. Haplotype analysis suggests that the T354M mutation has multiple ancestral origins. While mutations in RUNX1 and CEBPA, can also lead to familial predisposition to MDS/AML, these patients with GATA2 mutations are unique in that there is no obvious pre-MDS or pre-leukaemic phenotype such as thrombocytopenia (RUNX1) and eosinophilia (CEBPA) in predisposed carriers. Most patients in these families have had a rapid disease course “appearing out of the blue” leading to death, with a variety of ages of onset from teenagers to early 40s. Yet remarkably, there are still asymptomatic carriers in their 60s. One of these carriers, and his 2 children, has had bone marrow prophylactically stored over 15 years ago in case of disease onset. No pathogenic GATA2 coding sequence changes were found in 268 sporadic MDS/AML patient samples. Additionally, GATA2 mutations were not found in germline samples from 35 other families predisposed to AML and various other hematological malignancies. Both the T354M and 355delT mutants appear to localize appropriately to the nucleus and maintain at least some DNA binding in electrophoretic mobility shift assays. We used the known murine Gata3 ZF2 structure bound to DNA to model the effects of the observed mutations and demonstrated that the T354 residue does not contact DNA but makes polar contact with the adjacent threonines, and via its amino group, with C349 which coordinates the zinc atom. Replacement of the T354 side-chain with the bulky methionine moiety may affect the zinc contacts and is predicted to alter the overall structure of this ZF2. In contrast, 355delT will shorten the conserved threonine string which is predicted to impact on the orientation and position of L359 which directly contacts DNA. Thus, 355delT is likely to have an effect on DNA binding. Luciferase reporter assays indicate that T354M and 355delT greatly reduce the transactivation ability of GATA2 on multiple response elements, impacting on downstream target genes such as RUNX1 and CD34. Of note, T354M shows a markedly lesser synergistic effect than wildtype (WT) GATA2 with PU.1 on the CSF1R promoter. Competition assays show that these mutations may be acting in a dominant negative fashion in some biological contexts. In stable promyelocytic HL-60 cell lines expressing regulatable GATA2 (WT or T354M), T354M allows proliferation to proceed even under stimulus to differentiate with all-trans retinoic acid. Microarray studies indicated that the down regulation of proapoptotic BCL-xS by T354M, but not WT, may be responsible for this phenotype. GATA2 is considered to be a hematopoietic “stemness” gene, highly expressed in haematopoietic stem cells and is required for megakaryocyte and mast cell production. GATA2 is down regulated during myeloid differentiation and forced overexpression prevents such differentiation. Discovery of GATA2 mutants in MDS/AML predisposed families provides new tools for probing the mechanism of GATA2 induced leukemogenesis, and possibly also for clarifying its role in maintenance of stemness. Our findings highlight the power of investigating familial predispositions to cancer identifying specific mutations with unique biological effects. They have immediate implications for diagnostic genetic testing, and longer term therapeutic implications through identification of drugable biological pathways such as apoptosis. The poor outcome associated with these mutations may suggest that an aggressive strategy is appropriate in the treatment of affected individuals in families found to be carrying GATA2 mutations. Disclosures: No relevant conflicts of interest to declare.

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)0,000
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,014

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
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)0,0040,000

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 Opus0,011
Tête enseignante GPT0,264
Écart entre enseignants0,253 · 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

Citations13
Publié2010
Routes d'admission1
Résumé présentoui

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