Identification of DLK1 As a Novel Therapeutic Target in Down Syndrome Myeloid Leukemia
Notice bibliographique
Résumé
The current standard-of-care for myeloid leukemia associated with Down syndrome (ML-DS) relies on cytotoxic chemotherapy. Although primary ML-DS has favorable prognosis, the 10-20% of patients who develop relapsed leukemia or have refractory disease show a 3-year event-free survival less than 21% (Raghuram et al., 2023). Novel treatment options are needed to improve outcome in these patients with relapsed or refractory disease. The genomic landscape of ML-DS has been characterized by multiple studies (Labuhn et al., 2019; Nikolaev et al., 2013; Sato et al., 2024; Yoshida et al., 2013). In addition to trisomy 21, ML-DS samples possess mutations in the major hematopoietic transcription factor GATA1 and co-operating mutations in three major classes of proteins - cohesin complex components, epigenetic modulators and signaling molecules. However, there are no studies on differential gene expression analysis in ML-DS samples compared to normal bone marrow cells. We have generated ML-DS patient-derived xenograft (PDX) models using primary bone marrow samples from patients with ML-DS (Barwe et al., 2019). We conducted transcriptome analysis using these PDX models (n=4) supplemented with an ML-DS cell line (CMK) to identify differentially expressed genes in ML-DS compared to CD34+ cells isolated from normal bone marrow specimens (n=4). Filtering the differentially expressed genes to shortlist cell surface resident proteins, DLK1 was revealed as one of the top ten targets overexpressed in ML-DS. Analysis of a larger dataset also showed that DLK1 is overexpressed in ML-DS. In this dataset, the mean DLK1 TPM scaled counts in ML-DS bone marrow samples (257.20±73.81, n=77) were significantly greater than the normal bone marrow specimens (2.23±0.24, n=68, p<0.0001). DLK1 expression on the cell surface of ML-DS cell and PDX lines was confirmed by flow cytometry. To determine the role of DLK1 in ML-DS, we generated CMK cells with CRISPR/Cas9 mediated DLK1 knockout. The percentage of EdU positive cells determined by flow cytometry was significantly reduced by 67% and 65% in two distinct knockout clones (P<0.01), indicating that DLK1 indcues ML-DS cell proliferation. When injected in NSG-SGM3 mice, the CMK cells with DLK1 knockout showed minimal engraftment with less than 0.1% human cells in bone marrow, while the mice injected with wild-type CMK cells showed 63% human cell population 5 weeks post cell injection (P<0.001, n=3 each). Consistent with low bone marrow load, the median survival of mice engrafted with DLK1 knockout cells was significantly longer than those with CMK wild-type cells (P<0.05, n=5 each). Thus, our results demonstrate that DLK1 knockout in ML-DS cells suppressed cell proliferation and delayed in vivoengraftment in the bone marrow. We used DLK1-targeting antibody drug conjugate (ADCT-701, referred to as DLK1-ADC) with a DNA intercalating agent pyrrolbenzodiazepine. Isotype control antibody (Iso-ADC) with the same payload was used as control. While DLK1-ADC failed to induce cell death in DLK1 knockout cells, the IC50 for CMK wild-type cells was 0.027 nM. CMK cells with shRNA mediated DLK1 knockdown showed increased IC50 (0.172 nM). Iso-ADC did not have a significant effect on cell viability in any of these lines within the tested concentration range. These results highlight the target-dependent specificity and efficacy of DLK1-ADC in inducing ML-DS cell death. DLK1-ADC also suppressed the viability and colony forming ability of CPCT-0010, a PDX model generated from a patient with refractory ML-DS. In this PDX model in vivo, DLK-1ADC showed a dose-dependent improvement in median survival by 17, 22.5 and 24 days respectively when treated with 0.25, 0.5 or 1 mg/Kg DLK1-ADC i.v. in comparison with Iso-ADC at the same dose (P<0.05). DLK1-ADC dosed twice at 1 mg/Kg also prolonged survival in three distinct PDX models generated using primary cells from patients with refractory ML-DS. Finally, DLK1-ADC, but not Iso-ADC cured 2 of 3 mice injected with a refractory ML-DS PDX model while the third mouse showed an 84-day prolongation of survival compared to that of mice treated with Iso-ADC. Thus, taken together, we have identified DLK1 as a novel therapeutic target for refractory ML-DS and show that targeting DLK1 may be a novel treatment option for patients with refractory ML-DS.
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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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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 ».