The XPO1-FOXC1-HOX Functional Axis Opens New Therapeutic Avenues to Treat DEK-NUP214 AML Patients
Notice bibliographique
Résumé
Introduction: t(6;9)(p23;q34.1)/DEK-NUP214 patients represent a discrete group of younger AML patients recognised as a separate disease entity in the World Health Organization classification of myeloid neoplasms. They typically display a dismal prognosis, higher relapse rate and a striking co-occurrence with FLT3-ITD mutations in > 70% of cases. DEK is a nuclear factor that has been attributed multifunctional roles, including gene regulation, while its fusion partner, NUP214, plays a pivotal role in nuclear export by interacting with transport receptors such as XPO1. However, the precise mechanism by which DEK-NUP214 drives leukaemia remains unclear. Aims: Application of a multi-omics profiling to understand the oncogenic mechanisms underlying DEK-NUP214 fusion protein and identify potential therapeutical vulnerabilities. Methods: A comprehensive multi-omics screening (whole genome sequencing, targeted sequencing, transcriptomics, (phosphor)proteomics, mass cytometry (CyTOF) and in vitro drug screening) was conducted on 57 untreated primary AML samples from cytogenetically poor-risk AML, including four cases with t(6;9) translocation (complex karyotype (n=20), -7/del(7) (n=15), KMT2A rearrangements (not including t(9;11)) (n=12), t(6;9) (n=4) and other poor-risk karyotypes (inv(3), -5/del(5), t(3;12)/+8 or -17/del(17)) (n=6)). The t(6;9)/DEK-NUP214 cell line FKH-1, was utilised as a model for in vitro experiments and compared with other AML cell lines (OCI-AML3, KASUMI-1, THP-1, P31-FUJ, MV4-11 and K562). In vitro drug treatments were conducted in the cell lines and patient samples using Cell-Titer&Glo, and transcriptional changes were evaluated using qPCR and RNA-seq. To examine the function of selected target genes of DEK-NUP214, we used lentiviral shRNA system followed by cell cycle, apoptosis, differentiation, and cell proliferation assays. Results: An integrative RNA-seq analysis of our cohort and a separate series of 691 AML cases that included three additional t(6;9) cases (Leucegene, https://leucegene.ca/) revealed 128 genes significantly upregulated and 74 downregulated in t(6;9) patients compared to other AML samples. The overexpressed genes included some known leukaemia mediators (FOXC1, HOXA and HOXB genes), the genes previously reported in t(6;9) patients (EYA3, SESN1 and PRDM2) and novel genes with roles in haematopoiesis or cancer cell survival that showed the most significant differences (NFIX and GGT5). The significant overexpression of these genes was also confirmed in the t(6;9) FKH-1 cell line. In vitro drug screening of 527 licenced or investigational drugs allowed us to identify the compounds that were most effective and selective for t(6;9) patients in comparison with other AML cytogenetic groups. The two XPO1 inhibitors (Selinexor and Eltanexor) included in our drug panel were within the four top-ranked compounds. Of note, qPCR and RNA-seq analyses in the cell lines and primary patient samples showed that inhibition of XPO1 resulted in significant downregulation of the expression of FOXC1, NFIX, EYA3, HOXA and HOXB genes, highlighting a functional axis linking these target genes, XPO1 and the fusion. In line with this finding, silencing of FOXC1 in the FKH-1 cells led to an increase in apoptosis, lower cell proliferation and reduced clonogenic capacity, accompanied by a concomitant downregulation of HOXA and HOXB genes. Collectively, these findings support a key role of FOXC1 in DEK-NUP214-driven AML. Conclusion: This study offers valuable insights into the molecular and pathological mechanisms underlying t(6;9)-AML, revealing a functional interaction between DEK-NUP214, XPO1 and FOXC1, and providing evidence to consider XPO1 inhibition as a potential new avenue to treat these patients.
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) | 0,003 | 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 ».