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Enregistrement W2594407451 · doi:10.1182/blood.v128.22.3164.3164

Microenvironmental Links Between TET2/DNMT3A Mutations and Arginase 1 Overexpression in Human MDS/CMML

2016· article· en· W2594407451 sur OpenAlexaff
Alyssa Cull, Brooke Snetsinger, David Good, Rena Buckstein, Richard A. Wells, Michael J. Rauh

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueImmunodeficiency and Autoimmune Disorders
Établissements canadiensSunnybrook Health Science CentreHealth Sciences CentreQueen's University
Organismes subventionnairesnon disponible
Mots-clésMyeloidArginaseImmunohistochemistryCancer researchMedicineHaematopoiesisBiologyImmunologyMolecular biologyGeneticsArginineStem cell

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Immune dysregulation is a common feature of myeloid cancers including MDS and CMML. Precisely how cells such as macrophages (MΦs) contribute to or are impacted by aberrant innate immunity is not fully understood. Previously, our group demonstrated Arginase 1 (Arg1) overexpression in MDS/CMML patient samples as well as in a murine model of Tet2-deficiency (Cull et al., Blood Abstract 2013: 1578). Arg1, an L-arginine metabolizing enzyme, is highly expressed by alternatively activated (M2) macrophages and myeloid-derived suppressor cells. In the current study, our goals were to (1) establish whether the presence of certain mutations (i.e. in TET2) corresponds with high Arg1 immunohistochemical (IHC) staining, and (2) determine the environmental vs. cell-intrinsic effects of Tet2-deficiency on Arg1 expression in murine peritoneal macrophages (PMΦs). Methods: H&E staining and anti-human Arg1 IHC was performed on FFPE BM biopsies obtained from Sunnybrook and Kingston General Hospitals (8 age-matched controls and 30 MDS/CMML cases including 9 RCMD, 5 RAEB-1, 2 RAEB-2, 2 RARS, 1 RA, 1 del(5q) and 10 CMML-1). IHC staining was scored independently by 2 blinded Hematopathologists. Genomic DNA from each patient was subjected to mutation profiling using a 1,552-amplicon Ion Torrent Sequencing Panel. Primary PMΦ were obtained from peritoneal lavages performed on hematopoietic-specific Vav1-Cre-driven Tet2 knockout (Tet2-/-) mice generated from parental floxed (Tet2f/f) and Vav1-Cre mice (JAX) in accordance with Queen's Animal Care protocols. Results: Following an initial pilot study, we generated Arg1 IHC data and corresponding genome sequences from 8 age-matched control and 30 MDS/CMML patient FFPE BM biopsies. In keeping with our previous findings, we observed increased BM biopsy Arg1 IHC expression in CMML and low-grade MDS for both hospital cohorts. Taking all patient samples together, we found a significant correlation between high Arg1 IHC status and the presence of either TET2 or DNMT3A mutations (Fisher's exact test, p-value = 0.0173), both of which are highly prevalent in MDS and CMML patients. While this result - that mutations in a DNA methyltransferase and a DNA demethylating protein could lead to increased Arg1 protein expression and ultimately a similar disease phenotype - may appear counterintuitive, a recent publication provided evidence that Tet2 and Dnmt3a act cooperatively at specific sites within the genome (PMID 27428748). In addition, we noted upregulation of Ccr5, Tgfbi, Socs3, Bst2, Ccl6, Ifit2, Ccl2, Cxcl1, Arg1 and Ccl7 in Dnmt3a knockout vs. wild-type mouse PMΦs (PMID 27240213). Intriguingly, our results showed that all of these genes were also upregulated in Tet2-/- knockout PMΦs. Taken together, this suggests a biological basis linking high Arg1 IHC levels with mutations in TET2 and DNMT3A. In order to study environmental influences that may impact Arg1 expression, we isolated PMΦs from Tet2f/f and Tet2-/- mice and treated these cells with peritoneal lavage fluid derived from both control and Tet2-knockout animals. We observed a 10.2-fold increase in Arg1 mRNA expression in Tet2f/f cells treated with Tet2-/- peritoneal lavage fluid. Moreover, Tet2-/- lavage fluidtreatment of Tet2-/- PMΦs induced a 2.2-fold increase in Arg1 expression (from 5.8- to 12.8-fold compared to untreated Tet2f/f control cells). Given these findings, we hypothesized that Tet2-/- peritoneal lavage fluid contains a factor(s) which leads to induction of Arg1. In a pilot experiment, Tet2f/f and Tet2-/- lavage fluid (n=3/genotype) samples were sent for 31-plex cytokine/chemokine array (Eve Technologies). Levels of the pro-inflammatory molecules IL-12 (p70) and MIG (CXCL9) were elevated in knockout lavage fluid versus controls, both demonstrating trends towards significance. While Arg1 upregulation may be occurring in response to aberrant inflammation, we have also observed that PMΦs can be cultured ex vivo over a period of at least 72h all the while maintaining elevated Arg1 expression. This suggests a cell-intrinsic mechanism by which these cells maintain high levels of Arg1 transcript independent of the peritoneal microenvironment. Conclusion: Arg1 overexpression in both TET2/DNMT3A mutant human MDS/CMML and Tet2-deficient mouse models points to the potential utility of this enzyme as a marker of aberrant inflammation. Disclosures Buckstein: Celgene: Honoraria, Research Funding; Novartis: Honoraria.

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 enseignants0,002
Score d'incertitude au seuil0,005

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)0,0020,000

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 Opus0,007
Tête enseignante GPT0,219
Écart entre enseignants0,212 · 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

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

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