EZH2 inactivation cooperates with HOXA9 to induce leukemic transformation of human t-cell progenitors and sustain high-risk subsets of early t-cell precursor acute lymphoblastic leukemia (ETP-ALL)
Notice bibliographique
Résumé
Abstract Early T-cell precursor (ETP) acute lymphoblastic leukemia/lymphoma (ALL) is an aggressive hematological malignancy characterized by the uncontrolled expansion of T-cell progenitors. Loss-of-function mutations in genes encoding epigenetic regulators, including core components of the Polycomb Repressive Complex 2 (PRC2), such as the EZH2 histone methyltransferase, are frequently observed in ETP-ALL patients.To investigate the role of EZH2 inactivation in human early T-cell leukemogenesis, we optimized a CRISPR/Cas9-based strategy to disrupt EZH2 gene expression by integrating a DNA cassette containing the constitutive human PGK-1 promoter followed by the GFP reporter. Specifically, human CD34⁺ hematopoietic stem/progenitor cells (HSPCs) derived from cord blood were first edited to knock out (KO) EZH2, then transduced with lentiviruses encoding different T-ALL oncogenes or an empty vector control, and maintained in serum-free medium supplemented to support T-cell progenitor expansion. We found that only HOXA9- and LYL1-transduced EZH2KO HSPCs expanded in vitro for up to 30 days, and were enriched for early T-cell subsets, as identified by single-cell RNA sequencing (scRNA-seq) and a 26-color flow cytometry assay. Notably, these same subsets were capable of initiating T-cell leukemia in immunocompromised (NSG) mice following transplantation, suggesting that EZH2 inactivation cooperates with HOXA9 or LYL1 overexpression to drive human T-cell transformation. To assess the relevance of these findings in primary human T-ALLs, we analyzed whether loss-of-function mutations in PRC2 genes (EZH2, EED, SUZ12) were enriched in specific T-ALL subgroups, particularly ETP-ALL, in a cohort of 1,335 patients from the Children's Oncology Group (COG) study. Interestingly, PRC2-mutated T-ALLs were significantly associated with the HOXA subgroup and the ETP-ALL phenotype, and exhibited higher levels of minimal residual disease (MRD) 30 days after therapy compared to other T-ALL cases. To further dissect the molecular effects of EZH2 loss and HOXA9 overexpression in ETP-like T-ALL, we knocked out EZH2 in the human Loucy and PEER cell lines using CRISPR/Cas9. These EZH2KOcells were then transduced with HOXA9-encoding lentiviruses or empty vectors and analyzed by RNA sequencing. In parallel, ChIP-seq analyses were performed to map HOXA9 binding sites and assess histone modifications affected by EZH2 loss. Integrated analysis of RNA-seq and ChIP-seq data revealed that HOXA9 expression in EZH2-deficient ETP-like cells led to the upregulation of a stem-like/immature T-cell gene signature enriched in transcriptional activators and chromatin remodelers (e.g., RUNX2, IRX3, SATB1, ARID5B, CHD1, INO80D).Furthermore, scRNA-seq profiling of primary PRC2-mutated T-ALL samples revealed distinct leukemic subsets with high HOXA9 expression and strong enrichment for the same gene signature, as determined by Gene Set Variation Analysis (GSVA). Importantly, this signature stratified PRC2-mutated T-ALLs and identified a HOXA positive subgroup associated with poor prognosis. Collectively, these findings uncover a critical epigenetic circuit involving EZH2 loss and HOXA9-driven transcriptional reprogramming that promotes stem-like, therapy-resistant T-ALL subsets and highlights novel vulnerabilities that could be therapeutically exploited to eliminate high-risk disease at its origin.
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 ».