A Novel Chromene-Based Pan-PI3 Kinase Inhibitor Displays Preclinical Activity in Leukemia and Myeloma.
Notice bibliographique
Résumé
Abstract D-cyclins are universally dysregulated in multiple myeloma and frequently over-expressed in acute leukemia. Therefore, to better understand the regulation of the D-cyclins and identify leads for novel therapeutic agents for the treatment of hematologic malignancies, we conducted a high throughput screen of 50,000 novel chemical compounds to identify inhibitors of D-cyclin transactivation. From this screen, we identified a chromene-based compound 8-ethoxy-2-(4-fluorophenyl)-3-nitro-2H-chromene (pichromene). In secondary assays, pichromene reduced expression of cyclins D1, D2, and D3 in myeloma and leukemia cell lines at low micromolar concentrations. Furthermore, pichromene arrested the cells in the G0/G1 phase of the cell cycle. In myeloma and leukemia cell lines, pichromene decreased levels of phospho-AKT, but did not alter levels of total AKT. PI3 kinases regulate AKT phosphorylation that, in turn, regulate D-cyclin expression and cell cycle progression. Therefore, we evaluated the effects of pichromene on the enzymatic activity of PI3 kinases. In cell-free enzymatic assays, pichromene inhibited the enzymatic activity of all four isoforms of the PI3 kinase, PI3Kalpha, beta, delta and gamma, with similar efficacy. In contrast it did not markedly inhibit the enzymatic activities of unrelated kinases AKT 1, 2 or 3, PDK 1 or 2, or GSK3β or 3α at concentrations up to 300 μM in a similar cell-free assay. However, in intact cells, due to its inhibition of PI3 kinases, pichomene inhibited AKT activity as noted above. As inhibitors of PI3 kinases are pro-apoptotic and may have anti-cancer activity, we evaluated the effects of pichromene on the viability of leukemia and myeloma cells. Leukemia and myeloma cell lines were treated with increasing concentrations of pichromene and cell viability was measured after 72 hours by an MTS assay. Pichromene induced cell death in 9/10 leukemia and 9/10 myeloma cell lines with an ED50 < 10 μM. In contrast, it was less cytotoxic to primary normal hematopoietic cells obtained from volunteer donors of stem cells for allotransplant. Apoptosis was confirmed by Annexin V staining. Cell death was associated with caspase activation as demonstrated by the cleavage of caspase-3 and PARP through immunoblotting. Interestingly, U266 was the one myeloma cell line that was resistant to pichromene, and lacked detectable basal levels of phospho-AKT by immunoblotting. Given the effects of pichromene on malignant cells, we evaluated the efficacy of this compound in a leukemia xenograft mouse model. K562 cells were implanted subcutaneously into sublethally irradiated NOD/SCID mice. Mice were then treated with pichromene (50 mg/kg/day) or buffer control by oral gavage. Pichromene decreased tumor weight and volume by more than 35% as early as 8 days after treatment. No evidence of weight loss or gross organ toxicity was observed even when mice were treated with up to 500mg/kg/day of pichromene by oral gavage or intraperitoneally. Thus, in summary, we have identified a novel pan-inhibitor of PI3 kinases that displays preclinical efficacy in myeloma and leukemia.
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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 | 0,001 | 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 | 0,000 |
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 ».