Epigenetic Scarring Leads to Irreversible NK Cell Dysfunction in Myeloid Malignancies
Notice bibliographique
Résumé
Myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) belong to the same spectrum of myeloid malignancies and have extremely poor outcomes in the relapsed/refractory setting. Despite advances in the understanding of the pathogenesis and molecular mechanisms of these disorders, and incremental improvements in treatment regimens, patients with MDS and AML often relapse and fail to achieve cure. These and other factors underscore the urgent need for new therapeutic alternatives that will improve the clinical outcomes of these patients. Immunotherapy using checkpoint molecule inhibitors and adoptive cell therapy using autologous immune effector cells have been mostly unsuccessful in patients with MDS and AML. This could be due to the immunosuppressive tumor microenvironment in the bone marrow niche or to intrinsic dysfunction in the immune effector cells of these patients. Natural killer (NK) cells are innate lymphocytes that play an important role in cancer immune surveillance and have distinct advantages over T cells as candidates for immunotherapy. Myeloid blasts are inherently susceptible to NK cell-mediated killing as they express many of the ligands recognized by NK cell activating receptors. However, malignant myeloid blasts are capable of adapting and developing defense mechanisms that allow them to evade NK cell-mediated cytotoxicity. Little is known about the mechanisms of NK cell immune evasion developed by myeloid blasts. Here, we show that NK cells from patients with myeloid malignancies display a global dysfunction with severely impaired secretory function and killing capacity. Single cell RNAseq and mass cytometry experiments revealed that these NK cells from MDS and AML patients display an exhausted phenotype at the transcriptomic and proteomic levels. We also show that these NK cells have an altered metabolism compared with age matched healthy control NK cells. We show that this dysfunction is mediated by a crosstalk between myeloid blasts and NK cells and cell-cell contact dependent release of transforming growth factor beta (TGF-β). This crosstalk leads to a profound epigenetic reprogramming of NK cells driven by transcription factors known to mediate exhaustion and immune suppression. Myeloid blast-induced NK dysfunction and epigenetic state of exhaustion can be prevented by pharmacologically inhibiting the TGF-β pathway or knockout of TGFBR2 in NK cells. However, our data reveal that once this dysfunction occurs it is irreversible owing to epigenetic scarring driven by the transcription factor BATF. In fact, we show that TGF-β induces the expression of BATF in NK cells, which in turn mediates a gene regulatory program leading to NK cell dysfunction by driving the expression of exhaustion and inhibitory genes (e.g. HAVCR2, ENTPD1, CTLA4, TGFBR2). Collectively, our findings reveal a novel mechanism of NK cell immune evasion manifested by stable epigenetic rewiring and inactivation of NK cells by myeloid blasts. Our data support the use of allogeneic sources for adoptive NK cell therapy in combination with strategies aiming at preventing immune suppression to treat myeloid malignancies rather than therapies aiming at reversing or rescuing the function of autologous NK cells.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».