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Enregistrement W2981120128 · doi:10.1182/blood-2018-99-116256

MiR-193a Is a Negative Regulator of Hematopoietic Stem Cells and Promotes Anti-Leukemic Effects in Acute Myeloid Leukemia

2018· article· en· W2981120128 sur OpenAlexaff
Kathrin Krowiorz, R Bhayadia, Razan Jammal, Caroline Pabst, Nicole Pochert, Christoph Rueß, Christina Miller, Konstanze Döhner, Tobias Maetzig, Hartmut Döhner, Lars Bullinger, Stephan Emmrich, Dirk Heckl, Vera C. Martins, R. Rosler, Sebastian Wiese, R. Keith Humphries, A. MAUREEN ROUHI, Jan‐Henning Klusmann, Florian Kuchenbauer

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueMicroRNA in disease regulation
Établissements canadiensBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésHaematopoiesisMyeloidStem cellMyeloid leukemiaBiologyCancer researchProgenitor cellHematopoietic stem cellmicroRNALeukemiaHematopoietic growth factorGranulocyte colony-stimulating factorImmunologyCell biologyGeneticsGeneChemotherapy

Résumé

récupéré en direct d'OpenAlex

Abstract The microRNA (miRNA) family miR-193 consists of two members, miR-193a and miR-193b, which share identical seed regions and are therefore thought to be functionally redundant. However, the target spectrum of a miRNA is defined by the mRNA spectrum of the tissue, where it is expressed as well as dynamic strand preferences (miRNA-5p vs miRNA-3p) (Kuchenbauer et al., Blood, 2011). We and others previously showed that miR-193b is a tumor suppressor in acute myeloid leukemia (AML) (Bhayadia et al., JCO, 2018) and a potent regulator of hematopoietic stem cell expansion (Haetscher et al., Nat Com, 2015). However, the role of miR-193a in normal and malignant hematopoiesis is still unclear. First, we profiled the expression of miR-193a-5p and miR-193a-3p in human hematopoietic subpopulations from healthy donors via quantitative real-time PCR (qRT-PCR). Unlike miR-193b, which is enriched in hematopoietic stem cells (HSC) (Haetscher et al., Nat Com, 2015), miR-193a expression was restricted to differentiated cells of the myeloid lineage (granulocytes, monocytes, and erythrocytes). To investigate the function of miR-193a during normal hematopoiesis, we analyzed its effect on a murine myeloid progenitor cell line (32D cells) upon engineered overexpression of miR-193a in combination with granulocyte-stimulating growth factor (G-CSF) treatment (n=3-7). MiR-193a strongly promoted granulocytic differentiation of 32D cells already after two days compared to the control arm (p=0.006) as assessed by flow cytometry and morphological analysis. To analyze the effect of miR-193a on HSC function, we ectopically expressed miR-193a in highly purified E-SLAM (CD45+EPCR+CD48-CD150+) cells and transplanted them into lethally irradiated recipient mice (n=5 mice/arm). HSCs overexpressing miR-193a failed to reconstitute hematopoiesis (p=0.038). The negative effect on stem cell properties could be translated to human CD34+ cord blood (CB) cells, where miR-193a overexpression significantly reduced colony counts. Taken together, these results suggest, that miR-193a has pro-differentiation and anti-stemness functions. To assess the role of miR-193a in AML, we profiled miR-193a-5p and miR-193a-3p in two cohorts of de novo pediatric (n=187) and de novo adult AML patients (n=40) by qRT-PCR. We found that both miRNA strands (miR-193a-5p and miR-193a-3p) are present at similar levels, which is in contrast to the almost undetectable levels of miR-193b-5p strand, hinting at additional functional roles for miR-193a through its 5p arm. MiR-193a was significantly downregulated in adult and pediatric AML compared to healthy donor samples, suggesting a possible tumor suppressor function. To investigate the role of miR-193a in AML, we engineered transplantable, primary murine AML cell lines based on retroviral overexpression of Hoxa9/Meis1 (aggressive, short latency in vivo) with low endogenous miR-193a levels. Restoration of miR-193a by lentiviral overexpression delayed Hoxa9/Meis1 mediated leukemogenesis in vivo (p=0.01, n=8-10). Furthermore, miR-193a overexpression reduced leukemic growth of human AML cell lines (n=6) and decreased colony-forming capacity of primary AML patient samples (n=4; p=0.029) in vitro. To identify novel targets of miR-193a, we performed a proteomics screen in human NOMO1 AML cells overexpressing miR-193a compared to an empty control vector (n=5). We identified and verified stathmin (STMN1), a tubulin-associated, intracellular phosphoprotein previously linked to proliferation of AML cells, as a novel putative miR-193a target, further explaining its tumor suppressor effect. Taken together, we characterized miR-193a as a positive regulator of myeloid differentiation and negative modulator of HSCs. Based on the balanced presence of both miRNA arms, we hypothesize that each arm is functionally active and has different functions such as pro-differentiation and anti-stemness. Furthermore, this work is the first characterization of a miRNA family that exerts cooperative effects at both early and late hematopoietic differentiation stages, highlighting a novel mechanism of balancing anti-stemness and pro-differentiation. Disclosures Döhner: Bristol Myers Squibb: Research Funding; AROG Pharmaceuticals: Research Funding; Sunesis: Consultancy, Honoraria, Research Funding; Seattle Genetics: Consultancy, Honoraria; Agios: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Jazz: Consultancy, Honoraria; Agios: Consultancy, Honoraria; Pfizer: Research Funding; Janssen: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Astex Pharmaceuticals: Consultancy, Honoraria; AROG Pharmaceuticals: Research Funding; Astellas: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Celator: Consultancy, Honoraria; Astex Pharmaceuticals: Consultancy, Honoraria; Bristol Myers Squibb: Research Funding; Celator: Consultancy, Honoraria; Jazz: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria; Sunesis: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria; Pfizer: Research Funding; Seattle Genetics: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding. Bullinger:Bristol-Myers Squibb: Speakers Bureau; Pfizer: Speakers Bureau; Bayer Oncology: Research Funding; Sanofi: Research Funding, Speakers Bureau; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Honoraria, Speakers Bureau; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: 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 enseignants0,002
Score d'incertitude au seuil0,008

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 recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,005
Tête enseignante GPT0,218
Écart entre enseignants0,213 · 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

Citations3
Publié2018
Routes d'admission1
Résumé présentoui

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