ARNT/HIF-1β: An AML Biomarker?
Notice bibliographique
Résumé
Abstract Abstract 2903 Background: Despite improvements in chemotherapy protocols and bone marrow transplantation techniques, AML remains a lethal disease. Although patients with AML typically respond well to initial therapy, the majority relapse and eventually succumb to the disease. This relapse is thought to be the result of the resistance of leukaemic stem cells to the effects of chemotherapy. Some mechanisms have been discovered which contribute to resistance, but this phenomenon remains incompletely understood and is a significant barrier to improving patient outcomes. TEL is a member of the ETS transcription factor gene family and is essential for developmental processes such as haematopoiesis. TEL is frequently targeted by chromosomal translocations in human malignancies, resulting in the expression of oncogenic TEL gene fusions. A TEL-ARNT gene fusion was reported in a single case of AML, FAB subtype M2, in a patient whose leukaemic cells contained the balanced translocation t(1;12)(q21;p13). ARNT (also known as HIF-1β) is a nuclear protein and functions as part of a heterodimer, whose partners include HIF-1α and the aryl hydrocarbon receptor (AhR). HIF-1 expression is commonly deregulated in cancer and AhR signalling has been linked to leukaemogenesis. Materials and Results: Immunoblot analysis of patient bone marrow mononuclear cell lysates revealed that 5 of 29 AML specimens (∼17%) had elevated levels of ARNT protein, whereas 0 of 19 MDS specimens showed ARNT expression. In addition, AML specimens that had elevated ARNT protein levels also had elevated levels of phosphorylated Akt, while AML specimens that did not have elevated ARNT protein expression did not have activation of Akt signaling. Intriguingly, ARNT expression was noted in one patient who had progressed from MDS to AML. We then studied the expression of ARNT in HL60 cells, which are highly sensitive to induction of apoptosis by troglitazone (TG), and in U937 cells, which are TG resistant. In HL60 cells, ARNT mRNA levels remained constant following TG treatment and ARNT protein levels markedly decreased, while in U937 cells, ARNT mRNA levels increased and ARNT protein levels remained constant. We then tested the effect of exogenous expression of ARNT on the sensitivity of HL-60 cells to apoptosis induced by TG, daunorubin and hydrogen peroxide. HL-60 cells transduced with a retrovirus expressing ARNT became resistant to the induction of apoptosis by all these agents. These cells also had constitutive activation of Akt signaling, and treatment of these cells with a specific inhibitor of Akt signaling reversed their resistance to TG-induced apoptosis. Conclusions: The expression of ARNT confers resistance to apoptosis in AML cell lines and activates Akt signalling. In addition, ARNT is overexpressed in a significant subset of AML patients, in whom it activated Akt signaling, and ARNT expression correlates with progression of MDS to AML. ARNT may play an important role in chemoresistance and may be useful as a predictive or prognostic biomarker. Disclosures: No relevant conflicts of interest to declare.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».