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Enregistrement W3096229548 · doi:10.1182/blood-2020-135867

A Human Model of Down Syndrome Associated Leukemia Reveals Different Cell of Origins for Initiation and Progression

2020· article· en· W3096229548 sur OpenAlexaff
Elvin Wagenblast, Joana Araújo, Olga I. Gan, Sarah K. Cutting, Alex Murison, Jessica McLeod, Gabriela Krivdova, Maria Azkanaz, Sabrina Smith, Johann Hitzler, John E. Dick, Eric R. Lechman

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensUniversity of TorontoHospital for Sick ChildrenPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésAcute megakaryoblastic leukemiaGATA1Cancer researchLeukemiaBiologyHaematopoiesisGeneticsStem cell

Résumé

récupéré en direct d'OpenAlex

Introduction: Leukemia is the most common cancer in children and sequencing data suggest that the first genetic alterations often occur in utero. Children with Down syndrome (Trisomy 21, T21) have a 150-fold increased risk of childhood leukemia. In 30% of newborns with Down syndrome, a transient myeloproliferative disorder (pre-leukemia) occurs, which is characterized by a clonal proliferation of immature megakaryoblasts carrying somatic mutations in the GATA1 transcription factor (GATA1s) and resolves spontaneously in most cases. In 20% of the cases, acute megakaryoblastic leukemia (AMKL) evolves from the pre-leukemic clone by acquisition of additional mutations, such as in the cohesin subunit STAG2. It is hypothesized that this represents a multi-step process of leukemogenesis with three distinct genetic events: T21, GATA1s and STAG2. Yet, it remains unclear how an extra copy of chromosome 21 predisposes towards leukemia, the interplay between each genetic event and the cellular origin of transformation. Methods: Human long-term hematopoietic stem cells (LT-HSCs) were sorted from normal karyotype and T21 fetal livers (N-FL and T21-FL) and subsequently CRISPR/Cas9 edited to try to establish a humanized model of Down Syndrome associated pre-leukemia and AMKL. To model the initiation of the pre-leukemic state, GATA1s mutations were introduced, while additional STAG2- mutations were overlaid to model the progression to fully transformed AMKL. CRISPR/Cas9-edited control, GATA1s, STAG2- and GATA1s/STAG2- LT-HSCs were functionally interrogated in near-clonal xenograft assays, along with transcriptional and epigenetic profiling. Results: T21 status in combination with GATA1s had a profound synergistic effect on megakaryocytic lineage output in vivo compared to normal karyotype with GATA1s. Moreover, a high percentage of blasts were found in xenografts of GATA1s edited T21-FL LT-HSCs (>30%) but not in xenografts of GATA1s edited N-FL LT-HSCs. Conversely, GATA1s/STAG2- edited LT-HSCs generated grafts with >50% of blasts, regardless of T21 status. The immunophenotype of these blasts recapitulated those observed in patients diagnosed with Down Syndrome pre-leukemia and AMKL (CD117+CD34+CD41+CD71+CD33+CD4+CD7+). Thus, T21 is required for pre-leukemia development, but seems dispensable for AMKL as both N- and T21-FL LT-HSCs underwent leukemic transformation upon GATA1s/STAG2-. Serial xenotransplantation assays from primary engrafted mice were carried out to assess self-renewal properties of GATA1s-induced pre-leukemia and GATA1s/STAG2- induced AMKL. Only GATA1s/STAG2- edited N- and T21-FL grafts were able to propagate the leukemic phenotype with a high stem cell frequency, which was endowed by the additional STAG2- knock-out. ATACseq and RNAseq profiling of blast populations revealed an enrichment of GATA-binding sites with concomitant up-regulation of genes implicated in translation. To assess the role of progenitor cells in pre-leukemic initiation and leukemic progression, we CRISPR/Cas9 edited short-term HSCs, common myeloid progenitors and myelo-erythroid progenitors with GATA1s and/or STAG2- and subjected them to xenotransplantation. Strikingly, all progenitor subsets with combined GATA1s/STAG2- editing were able to drive leukemic transformation, while single GATA1s editing in the same subsets did not initiate pre-leukemia. This data strongly suggests that the initial GATA1s mutation must occur in T21 LT-HSCs, but subsequent STAG2 mutations can occur further downstream in progenitors. Lastly, to gain insight into how chromosome 21 predisposes towards pre-leukemia, three chromosome 21 miRNAs (miR-99a, -125b-2 and -155) were identified to be up-regulated in T21-FL LT-HSCs compared to N-FL LT-HSCs. Over-expression of these miRNAs in N-FL LT-HSCs induced a T21-like state with increased myeloid and megakaryocytic skewing. Dramatically, CRISPR/Cas9-edited knock-out of these miRNAs in GATA1s edited T21-FL LT-HSCs resulted in a block of pre-leukemia initiation. Conclusion: Our findings demonstrate that T21 is required for pre-leukemia initiation, which is mediated by over-expression of chromosome 21 miRNAs in LT-HSCs. Further, this data demonstrates different cell of origins between pre-leukemia initiation and AMKL progression. Ongoing studies focus on preventing the progression of pre-leukemia to AMKL by pharmacological targeting. Figure Disclosures Dick: Bristol-Myers Squibb/Celgene: Research Funding.

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 enseignants0,004
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
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,042
Tête enseignante GPT0,314
Écart entre enseignants0,272 · 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
Publié2020
Routes d'admission1
Résumé présentoui

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