IGF Signaling Is Critical for Growth and Survival of T-Cell Acute Lymphoblastic Leukemia Cells and Is Potentiated by Notch Upregulation of IGF1R
Notice bibliographique
Résumé
Abstract T-cell acute lymphoblastic leukemia (T-ALL) is a malignancy of immature T cell progenitors in which we described activating mutations of Notch1 to occur in over 50% of cases. As well, others have identified loss-of-function mutations in Sel10/Fbw7 to occur in 8–16% of cases, which also enhance Notch signaling. Notably, inhibition of Notch signaling in these cells induces growth arrest and in some cases apoptosis as well. Subsequent studies have characterized c-myc as a critical downstream target of Notch signaling in this context. More recently, mutations in PTEN (occurring in 17% of cases) were shown to potentiate PI3K/Akt signaling and proposed to confer resistance to Notch signaling inhibition, but then impose “addiction” to PI3K/Akt. Most leukemias likely derive cooperative growth/survival signals from Notch and PI3K/Akt pathways, as evidenced by synergistic effects of gamma-secretase inhibitors (GSI) which block Notch signaling and rapamycin which blocks mTOR downstream of PI3K/Akt. In mouse models, combined activation of c-myc and b-catenin with inactivation of PTEN elicited T-ALL which was devoid of Notch mutations, suggesting Notch signaling coordinately activates c-myc, Wnt, and PI3K/Akt signaling pathways. In studying the mechanism for PI3K/Akt activation in T-ALL with activated Notch signaling, we examined insulin-like growth factor receptor-1 (IGF1R) as a candidate upstream initiator of PI3K/Akt activation. We observed IGF1R expression consistently in T-ALL cells from primary human leukemias and cell lines, as well as in primary mouse leukemias derived experimentally by retroviral transduction of marrow with activated forms of Notch1. In all cases, inhibition of IGF1R signaling either with blocking antibody or small molecule kinase inhibitors resulted in growth suppression and apoptosis of leukemia cells. We further observed that inhibition of Notch signaling either by small molecule GSI or transduction with a dominant negative coactivator, Mastermind, resulted in a 2–3 fold decrease in IGF1R expression. Given that the PI3K/Akt/mTOR pathway is known to be important for growth/survival of T-ALL leukemia cells, we hypothesized that Notch might be potentiating activation of this pathway by upregulating IGF1R expression. In fact, we found leukemia cells with active Notch and higher IGF1R levels showed 20-fold greater sensitivity to IGF-1 ligand induced Akt activation as compared to leukemia cells with inactive Notch and lower IGF1R levels. This enhanced signaling output cannot be explained by Notch suppression of PTEN as this effect was noted in both PTEN wild-type and PTEN null leukemia cells. Additionally, cells with wild type PTEN demonstrated only minimal if any changes in PTEN protein levels after Notch inhibition as measured by a highly quantitative flow cytometry assay. In sum, we have identified IGF-1 signaling as being critical to growth and survival of T-ALL leukemia cells, and provide evidence that Notch may potentiate PI3K/Akt signaling by upregulating expression of IGF1R. These data are of immediate clinical relevance as several IGF1R inhibitors are currently in Phase 3 clinical trial and hopefully will provide additional therapeutic options to refractory/relapsed patients and/or in combination with front-line therapy in newly diagnosed 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 | 0,000 |
| 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 ».