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Enregistrement W3097486607 · doi:10.1182/blood-2020-137658

<i>TET2</i> and <i>DNMT3A</i> Mutations Exert Divergent Effects on DNA Repair and Sensitivity of Leukemia Cells to PARP Inhibitors

2020· article· en· W3097486607 sur OpenAlexaff
Silvia Maifrede, Bac Viet Le, Margaret Nieborowska-Skorska, Konstantin Golovine, Katherine Sullivan-Reed, Wangisa M.B. Dunuwille, Joseph Nacson, Michael Hulse, Lisa Beatrice Caruso, Zachary Gazze, Zhaorui Lian, Antonella Padella, Kumaraswamy Naidu Chitrala, Boris Bartholdy, Ksenia Matlawska‐Wasowska, Daniela Di Marcantonio, Giorgia Simonetti, Georg Greiner, Stephen M. Sykes, Peter Valent, Elisabeth Paietta, Hugo F. Fernández, Martin S. Tallman, Mark R. Litzow, Mark D. Minden, Jian Huang, Giovanni Martinelli, George S. Vassiliou, Italo Tempera, Katarzyna Piwocka, Neil Johnson, Grant A. Challen, Tomasz Skórski

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueEpigenetics and DNA Methylation
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésBiologyDNA repairEpigeneticsDNA methylationMutationDNA damageKu80Cancer researchHomologous recombinationHaematopoiesisGeneticsDNAMolecular biologyCell biologyGeneStem cellDNA-binding proteinGene expressionTranscription factor

Résumé

récupéré en direct d'OpenAlex

Somatic variants in TET2 and DNMT3A are founding mutations in hematological malignancies that both affect the epigenetic regulation of DNA methylation. Although the proteins antagonistically regulate the epigenetic mark of 5-methylcytosine (5-mC), where DNMT3A catalyzes addition of 5-mC while TET2 oxidizes 5-mC as a first step in DNA demethylation, mutations in both genes appear in a similar spectrum of human hematopoietic malignancies. Mutations in both genes often co-occur with activating mutations in oncogenic tyrosine kinases (OTKs) such as FLT3ITD, BCR-ABL1, JAK2V617F, MPLW515L or mutations affecting related signaling pathways such as NRASG12D and CALRdel52. Moreover, while the mutations exert divergent effect on primitive hematopoietic progenitor cells, they lead to similar disease phenotypes, suggesting the roles of these mutations in hematopoietic malignancies may relate to mechanisms outside of DNA methylation. OTK-positive malignant cells accumulate high numbers of spontaneous and drug-induced DNA double-strand breaks (DSBs) in comparison to normal cells, but they manage to survive because of their enhanced/altered ability to repair these breaks. DSBs, the most lethal DNA lesions, are repaired by two major mechanisms, BRCA1/2-dependent homologous recombination (HR) and DNA-PK -mediated non-homologous end-joining (D-NHEJ). Both HR and D-NHEJ repair DSBs in proliferating cells, while D-NHEJ plays a major role in quiescent cells. PARP1 -dependent alternative NHEJ (Alt-NHEJ) serves as back-up in both proliferating and quiescent cells. The existence of these redundant pathways creates the opportunity to employ a phenomenon called "synthetic lethality", which was originally applied to eliminate cancer cells with mutations in BRCA1 and BRCA2 by PARP inhibitor (PARPi). Our previous report [M. Nieborowska-Skorska et al., Gene expression and mutation-guided synthetic lethality eradicates proliferating and quiescent leukemia cells. J Clin Invest 127, 2392-2406 (2017)] suggested that certain leukemias are sensitive to PARPi-triggered synthetic lethality. Here we show that TET2 and DNMT3A mutations exert divergent roles in regulating DNA repair activities in leukemia cells expressing OTKs. Malignant TET2-deficient cells display downregulation of BRCA1 and LIG4 resulting in reduced activity of HR and D-NHEJ, respectively, and rely on Alt-NHEJ to protect them from the toxic effects of replication stress and drug-induced DSBs. Conversely, DNMT3A-deficient cells favor HR/D-NHEJ owing to downregulation of PARP1 and reduction of Alt-NHEJ. Consequently, malignant TET2-deficient cells are sensitive to PARPi treatment in vitro and in vivo, whereas DNMT3A-deficient cells were resistant. Disruption of TET2 dioxygenase activity and/or TET2 - Wilms tumor 1 (WT1) binding ability were responsible for DNA repair defects and sensitivity to PARPi associated with TET2 deficiency. Moreover, mutation or deletion of WT1 mimicked the effect of TET2 mutation on DSB repair activity and sensitivity to PARPi. Our findings reveal that TET2 and WT1 mutations may serve as biomarkers of synthetic lethality triggered by PARPi, which should be explored therapeutically. Disclosures Valent: Allcyte GmbH: Research Funding; Pfizer: Honoraria; Cellgene: Honoraria, Research Funding. Tallman:Abbvie: Research Funding; Cellerant: Research Funding; Orsenix: Research Funding; ADC Therapeutics: Research Funding; BioSight: Membership on an entity's Board of Directors or advisory committees, Research Funding; Glycomimetics: Research Funding; Rafael: Research Funding; Amgen: Research Funding; Bioline rx: Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Membership on an entity's Board of Directors or advisory committees; KAHR: Membership on an entity's Board of Directors or advisory committees; Rigel: Membership on an entity's Board of Directors or advisory committees; Delta Fly Pharma: Membership on an entity's Board of Directors or advisory committees; Oncolyze: Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; UpToDate: Patents & Royalties. Martinelli:Roche: Consultancy; Pfizer: Consultancy, Research Funding, Speakers Bureau; Incyte: Consultancy; Jazz: Consultancy; Janssen: Consultancy; Daichii Sankyo: Consultancy, Research Funding; Celgene: Consultancy, Speakers Bureau; Amgen: Consultancy; AbbVie: Consultancy, Research Funding. Vassiliou:Kymab Ltd - Monoclonal antibody company. Currently not working in myeloid cancers or clonal haematopoiesis.: 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)0,000
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 seuil0,006

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)0,0020,000

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 Opus0,006
Tête enseignante GPT0,208
Écart entre enseignants0,202 · 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

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

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