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Enregistrement W2305816079 · doi:10.1182/blood.v124.21.3245.3245

Gfi136N As a Novel Marker and Therapeutic Target of MDS and AML

2014· article· en· W2305816079 sur OpenAlexaff
Lars Michel, Lacramioara Botezatu, Judith Hönes, Anna E. Marneth, Damien Grapton, Charles Vadnais, Ulrich Germing, Uwe Platzbecker, Thomas Schroeder, Rainer Haas, Bert A. van der Reijden, Gerhard Ehninger, Jaroslaw P. Maciejewski, Tomas Radivoyevitch, André Görgens, Bernd Giebel, Jan Fleckhaus, Hideki Makishima, Tarik Möröy, Ulrich Dührsen, Cyrus Khandanpour

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueBlood disorders and treatments
Établissements canadiensMontreal Clinical Research Institute
Organismes subventionnairesnon disponible
Mots-clésMyeloid leukemiaDecitabineMyelodysplastic syndromesLeukemiaOncologyExome sequencingMyeloidInternal medicinePopulationBiologyHaematopoiesisMedicineImmunologyBone marrowGeneticsStem cellMutationDNA methylationGene

Résumé

récupéré en direct d'OpenAlex

Abstract Growth Factor Independence 1 (GFI1) is a hematopoietic transcription factor that plays a crucial role in the development of myeloid precursor cells. Its variant single nucleotide polymorphism called GFI136N (whereby Serine at position 36 is replaced by Asparagine) has been described to play a role in acute myeloid leukemia (AML) development. The prevalence of this variant is about 5-7% in the healthy Caucasian populations. Patients with myelodysplastic syndrome (MDS) show disturbed bone marrow function and are at risk to develop AML. Identifying prognostic markers and potential targets is essential for improved MDS therapy. We explored how GFI136N influences onset and progression of MDS and investigated the biological mechanisms behind our findings. To examine the role of GFI136N with regard to progression of MDS to AML, we characterized the status of GFI1 in 201 German-, 350 US- and 86 Dutch MDS patients. Our results revealed that 11-13% of patients were heterozygous for GFI136N compared to 5-7% in the healthy population. Patients carrying GFI136N also showed a 2-3-fold higher risk of AML-development and inferior leukemia-free survival than patients carrying the common variant GFI136S. The onset of MDS and AML tended to be at younger ages for GFI136N carriers and they did not respond to demethylating therapy to the same extent as GFI136S homozygous MDS patients. Whole exome sequencing revealed that patients carrying GFI136N had mutations in epigenetic modifiers such as EZH2 and expressed higher levels of different oncogenes such as HOXA9. To dissect the mechanisms behind these findings and to study the role of GFI136N in AML development, we used GFI136N and GFI136S knock-in mice that expressed either of the two human variants instead of murine Gfi1. We transduced hematopoietic progenitor cells from GFI136S or GFI136N expressing mice with retroviral vectors overexpressing oncofusion proteins AML1-ETO9a or MLL-AF9, which can be recurrently found in AML patient cohorts. GFI136N expressing cells that had been transduced with either AML1-ETO9a or MLL-AF9 generated significantly more cells and colonies than GFI136S controls. In order to confirm our findings in vivo, we used three different AML and MDS mouse models crossed to mice carrying either GFI136N or the common GFI136S. As a first in vivoapproach, we used a mouse strain that expresses the human oncofusion protein CBFB-MYH11 (inv(16)) frequently found in AML patients. Mice carrying GFI136N and expressing CBFB-MYH11 showed a significantly accelerated onset of AML compared to mice carrying GFI136S (p=0.004). We found similar results in a second AML mouse model expressing MLL-AF9. Using the NUP98-HOXD13 MDS mouse model a marginally significant decrease in leukemia-free survival was observed in mice carrying GFI136N. To investigate molecular mechanisms that could cause the observed effects of GFI136N, we used ChipSeq and RNASeq. Our results revealed that GFI136N lineage negative cells show a genome-wide higher degree of H3K4 methylation and H3K9 acetylation than cells carrying GFI136S. GFI1 recruits among others LSD1 and HDAC to demethylate H3K4 and deacetylate H3K9 and thus GFI136N fails to initiate epigenetic changes previously shown for GFI1, leading to higher expression of various oncogenes such as HoxA9 and Kras. A number of MDS and AML patients are treated with HDAC and LSD1 inhibitors, but based on the above data we would predict that this therapy would likely fail in GFI136N patients and that therapy with histone acetylase (HAT) inhibitors or histone methyltransferase inhibitors would be more beneficial for these patients. To test this hypothesis in vitro, we treated the above-described GFI136N and GFI136S expressing AML1-ETO9a or MLL-AF9 leukemic cells with HAT or HDAC inhibitors. HAT inhibitors inhibited growth of preleukemic GFI136N expressing cells more efficiently than HDAC inhibitors. Similarly in vivo, we transplanted irradiated mice with GFI136N or GFI136S expressing MLL-AF9 leukemic cells. We found that HAT inhibitors tended to prolong the survival of mice transplanted with GFI136N leukemic cells more than mice transplanted with GFI136S leukemic cells. In summary, GFI136N is a novel prognostic marker for MDS patients that predisposes to AML likely via epigenetic changes at different oncogenes. We also suggest that HAT inhibitors could be more beneficial to GFI136N carrier patients thus enabling a more individualized therapy. Disclosures Platzbecker: TEVA: Research Funding, Speakers Bureau.

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: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
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
Métarecherche0,0000,000
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 Opus0,005
Tête enseignante GPT0,212
Écart entre enseignants0,208 · 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'étudeExpérimental (laboratoire)
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

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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