LSD1 Inhibition Enhances Antigen Presentation and Co-Stimulation in AML to Promote T Cell-Mediated Anti-Leukemia Immune Responses
Notice bibliographique
Résumé
Allogeneic hematopoietic stem cell transplantation (allo-HSCT) can provide a curative treatment option for acute myeloid leukemia (AML). Donor T cells play an important role in the curative potential of allo-HSCT by recognizing and eliminating residual leukemic cells, inducing the desirable graft-versus-leukemia (GVL) effect. Evading from this effect of donor T cell immune surveillance through the downregulation of human leukocyte antigen class II (HLA-II) molecules has been shown to contribute to AML relapse after allo-HSCT. Lysine-specific demethylase 1 (LSD1) is an emerging epigenetic therapeutic target in AML due to its role in regulating myeloid differentiation pathways. We hypothesized that LSD1 inhibition has the potential to enhance anti-leukemic immune responses by differentiating AML cells and inducing the acquisition of markers typical for antigen-presenting cells. We have studied these effects by treating human AML cell lines with the LSD1 inhibitor bomedemstat and investigated the expression of antigen-presenting molecules by flow cytometry and quantitative PCR (qPCR). At a concentration of 100 nM, bomedemstat upregulated the expression of CIITA by a log2 fold change of 2.23 ± 0.68 (p < 0.01) in OCI-AML3, 2.17 ± 0.28 (p < 0.01) in HL60 and 1.80 ± 0.67 (p < 0.05) in MOLM-13. To assess if the observed upregulation of CIITA can lead to a re-expression of HLA-DR in these HLA-DR negative cell lines, we then treated these cell lines with 100 nM of bomedemstat with additional IFN-γ stimulation. Expression of HLA-DR and the co-stimulatory molecule CD86 was determined by flow cytometry. Bomedemstat increased the expression of HLA-DR and CD86 across all three cell lines leading to the generation of 26.63 ± 3.07% (p < 0.0001) HLA-DR +/CD86 + cells in OCI-AML3, 4.19 ± 1.68% (p < 0.001) HLA-DR +/CD86 + cells in HL-60 and 14.67 ± 2.03% (p < 0.001) HLA-DR +/CD86 + cells in MOLM-13. We further assessed the effects of bomedemstat treatment on cytokine production by qPCR. Notably, bomedemstat treatment increased the expression of CXCL-10 by a log2 fold change of 2.59 ± 0.66 (p < 0.001) in MOLM-13 and 4.12 ± 0.88 (p < 0.001) in HL-60 at 100 nM concentration. The upregulation of CXCL-10 was also validated using bead-based ELISA assays. To investigate the molecular mechanism of the observed concomitant upregulation of MHC-II molecules and CD86, we then used murine myeloid progenitor cells transformed by overexpression of Hoxa9 and Meis1 (H9M) or MN1. In H9M-transformed cells, bomedemstat concurrently upregulated MHC-II (I-A/I-E) and CD86 even in the absence of IFN-γ stimulation, leading to an increase in MHC-II +/CD86 + cells from 2.52 ± 1.22% at baseline to 29.95 ± 14.11 (p < 0.05). This effect was not observed in MN1-transformed cells. H9M-transformed progenitor cells from Irf8 knockout mice (H9M- Irf8-KO) did not show any upregulation of MHC-II, pointing towards a role for Irf8 in this process. To interrogate whether the concurrent upregulation of MHC-II and CD86 can enhance CD4 + T cell activation, we used ovalbumin-expressing H9M-transformed cells that were co-cultured with OT-II T cells after bomedemstat treatment. We could show that bomedemstat-treatment enhanced the ability of H9M-OVA cells to activate T cells as demonstrated by an enhanced expression of the T cell activation markers CD25 and CD69. Furthermore, bomedemstat also increased the immune killing of OVA-peptide pulsed H9M cells at an effector-to-target (E:T) ratio of 1:1 from 1.12 ± 4.01 to 19.70 ± 6.20% (p < 0.01). It also enhanced the killing of OVA-expressing H9M cells from 5.80 ± 2.95% to 17.70 ± 3.16% (p < 0.05). No significant killing effect was observed for MN1 cells. In conclusion, we demonstrate both phenotypically and functionally that LSD1 inhibition by bomedemstat can enhance the immunogenicity of human and murine AML models. These findings point towards a potential role of LSD1 inhibition as a maintenance therapy after allo-HSCT.
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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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.
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 ».