Chemical Library Screening Identifies Novel Inhibitors of Cyclin D2 (CCND2) Transactivation That Selectively Induce Apoptosis in Multiple Myeloma Cells.
Notice bibliographique
Résumé
Abstract Multiple myeloma tumors universally target one of the three human cyclin D genes (CCND1, CCND2 or CCND3) for dysregulation (Bergsagel et al., 2005, Blood, 106:296). Using a lentivirus expressing CCND2 RNAi we first tested the effects of selective cyclin D2 knock down on My5 and H929 myeloma cell lines and found G0/G1 phase arrest, increased apoptosis and significant selective disadvantage in transfected cells. By comparison, knockout mouse models indicate that most somatic tissues can develop in the total absence of cyclin D1, D2 and D3 (Kozar et al., 2004, Cell,118:477). Targeted inhibition of specific cyclin D expression is therefore a rational therapeutic strategy in myeloma. To identify novel pharmaceutical inhibitors of CCND2 transactivation we developed an assay employing NIH 3T3 cells stably co-expressing the CCND2 transactivator c-Maf and the cyclin D2 promoter driving firefly luciferase (luc) and screened the Lopac (n=1280), Prestwick (n=1120) and Spectrum (n=2000) libraries of drugs and natural compounds. In a parallel MTS assay, the effect of each compound on 3T3 viability was determined, allowing exclusion of compounds that caused secondary suppression of CCND2 due to non-specific cytotoxicity. From the screen we identified 10 c-Maf independent putative CCND2 inhibitors. These included monensin, patulin, β-lapachone, camptothecin, dihydrogambogic acid, gentian violet, thapsigargin, brefeldin A, pristimerin and kinetin riboside. Three of the 10 compounds (gentian violet, thapsigargin and patulin) were not studied further due to toxicity cited in the literature. Subsequent validation studies using selected compounds in human myeloma cell lines (HMCL) confirmed successful suppression of both cyclin D2 and D1 proteins. Each of these compounds was then shown to be cytotoxic to a genetically diverse and standardized panel of 14 HMCL in MTT assays: monensin (10–760 nM), camptothecin (5–700nM), dihydrogambogic acid (250–800 nM), pristimerin (150–500 nM) and kinetin riboside (2.5–20μM). Cell cycle analysis confirmed induction of G0/G1 phase arrest for most compounds, consistent with cyclin D inhibition. However, camptothecin and b-lapachone induced S-phase arrest, suggesting secondary suppression of cyclin D by virtue of S-phase activity. Unsorted myeloma patient bone marrow samples demonstrated selective activity for pristimerin, dihydrogambogic acid and kinetin riboside against CD138+ myeloma cells compared with non malignant hematopoietic cells; by contrast monensin showed almost equal toxicity for normal cells. The triterpenoid, pristimerin, showed potent anti-myeloma activity and was examined in greater detail. Studies confirm that pristimerin rapidly inhibits cyclin D1, D2 and D3 expression (<6 hours) at nanomolar concentrations and induces apoptosis of primary myeloma cells characterized by caspase 9 cleavage and Annexin V binding. While pristimerin is cytotoxic to HMCL and patient myeloma cells at 0.1–0.15 mg/L, toxicity studies in vivo indicate that the drug is tolerated in mice at 2.5 mg/kg i.p. daily. In vivo activity against a xenograft model is currently being determined. Overall this targeted chemical biology screen has identified several compounds, including the triterpenoid, pristimerin, that are being further characterized for promising preclinical anti-myeloma activity.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| 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) | 0,000 | 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 tête enseignante, 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 ».