Notch-Mediated Suppression of PKCθ Reduces Reactive Oxygen Species and Promotes Leukemic Stem Cell Activity In T-Cell Acute Lymphoblastic Leukemia (T-ALL)
Notice bibliographique
Résumé
Abstract Abstract 12 T-cell acute lymphoblastic leukemia (T-ALL) is a malignancy of immature T cell progenitors which affects both children and adults. Current therapies achieve cure in about 80% of pediatric patients, but only 40% of adults survive beyond 5 years. Disease relapse may be attributed to ineffective targeting of leukemia stem cells (LSCs) due to their presumed quiescence, resistance to apoptosis, enhanced expression of DNA repair enzymes and drug efflux pumps, and localization to protective or inaccessible niches. More efficient targeting of LSCs in this disease thus could offer great potential for improving patient outcomes. Recent interest in the role of reactive oxygen species (ROS) in cancer stem cell biology has been sparked by studies demonstrating that low ROS levels promote clonogenicity and radioresistance of breast cancer stem cells and that parthenolide specifically induces apoptosis of LSCs in AML and blast crisis CML by increasing levels of ROS in these cells. In T-ALL, activation of NOTCH1 signaling, either by mutation of NOTCH1 itself (50-60% of cases) or its negative regulator FBW7 (15% of cases), contributes to malignant behavior by blocking differentiation, promoting cellular proliferation/survival, and enhancing self-renewal. Similar gain-of-function Notch1 mutations are also observed to occur spontaneously in several murine T-ALL models at high frequency. To examine ROS levels in T-ALL LSCs, we first generated murine disease by retroviral transduction of bone marrow with a constitutively activated form of NOTCH1 termed “ΔE”. We utilized limiting dilution transplantation analyses of different cellular phenotypes isolated from primary ΔE leukemias to demonstrate that the CD44+ subset of CD4+ CD8+ (DP) cells were enriched for LSCs and exhibited lower ROS levels as compared to the CD44- DP subset and bulk cells. Since ROS levels were heterogeneous within the CD44+ DP subset, we combined these markers with DC-FDA staining for ROS and demonstrated as few as 100 ROSlow CD44+ DP cells are able to reproduce disease in 100% of recipients whereas 100,000 bulk cells are required to achieve the same effect. Because protein kinase C theta (PKCθ) was recently identified as an important mediator of ROS production in T-cells during activation-induced cell death and expression of PKCθ mRNA could be detected broadly in primary human and mouse T-ALL samples, we reasoned that this signaling intermediate might be a regulator of ROS levels in malignant T-ALL LSCs. In fact, using a combination of viral expression and knock-down approaches in both human and mouse T-ALLs as well as mouse PKCθnull ΔE leukemias, we demonstrate that PKCθ is a primary regulator ROS production in T-ALL. Moreover, low PKCθ/ROS levels correlate with resistance to chemotherapy and irradiation, and promote the competitive in vivo growth of T-ALL cells. Interestingly, we also find that Notch signaling represses PKCθ expression which in turn results in reduced ROS levels. Our results identify PKCθ as a novel target of Notch signaling in LSCs whose key malignant properties are highly dependent on low ROS levels. These findings provide mechanistic basis for rational design of LSC-targeted therapies in T-ALL. Disclosures: No relevant conflicts of interest to declare.
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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) | 0,000 | 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 ».