Pre-Clinical Evaluation of a Small Molecule Inhibitor of CDK1 as Potential Therapy for MYC Expressing Mutiple Myeloma Tumors
Notice bibliographique
Résumé
Abstract Through the recent elucidation of molecular and cellular processes in multiple myeloma (MM) pathogenesis that effect well-defined proliferative and survival pathways, a number of molecular targets for anti-cancer agents have emerged. This includes proteins involved in cell cycle regulation. A recent model of early MM pathogenesis proposes that at least one of the cyclin D genes is dysregulated in all myeloma tumors facilitating activation of cyclin dependent kinase (CDK)4 (or CDK6), and transition from G1 to S phase. It is hypothesized that this renders myeloma cells more responsive to bone marrow (BM) derived proliferative stimuli including IL-6 that upregulates MYC expression in MM cells and cooperates with cyclin D to promote transit to S-phase. In addition, recent studies have established a causative role of MYC dysreguation in progression from monoclonal gammopathy to myeloma. Thus an approach targeting deregulated cell cycle progression and MYC may prove effective MM therapy. Purvalanol is a potent and selective inhibitor of CDK1, an important regulator of cell cycle progression and has been reported to induce MYC-dependent apoptosis. Activity of purvalanol against a panel of 14 standardized, annotated myeloma cell lines was measured in a 48 hour MTT viability assay. IC50-s of all 14 cell lines ranged between 5 uM to 7.5 uM. Western blot and real-time PCR analysis revealed variability of MYC protein and mRNA levels between the 14 myeloma cell lines. We compared potential therapeutic activity of purvalanol against 3 myeloma cell lines (U266, H929, KMS12PE) with low, intermediate, and high levels of c-MYC expression, respectively. All three cell lines demonstrated G2-M growth arrest however marked apoptosis as determined by PI/annexin V staining was observed only in the cell lines with the highest level of MYC expression. Exposure of MM patient-derived BM mononuclear cells to purvalanol preferentially induced apoptosis of CD138+ MM cells. In contrast, purvalanol was minimally cytotoxic to the non-myeloma cell fraction and to non-transformed fibroblast cell lines (MRC5, IMR90 and W138) and failed to inhibit normal bone marrow-derived CD34 colony formation. Recent studies have demonstrated that the BM microenvironment offers protection of myeloma cells from chemotherapeutic agents by common mechanisms. Myeloma cell lines were cultured in 3 different conditions to mimic the tumor’s protective microenvironment. Soluble factors produced by the BM, IL6 and IGF-1 induced a modest degree of resistance to purvalanol while co-culture on BM stroma cells was completely protective. Studies evaluating the in vivo efficacy of purvalanol in a novel Vk*myc transgenic mouse model that spontaneously develops myeloma with a low proliferative index are ongoing and will be presented. The CDK1 inhibitor, purvalanol demonstrates broad single agent activity against myeloma cells with enhanced activity against MYC overexpressing cells. However, the strong protective effect of the BM microenvironment suggest that combination with agents that can reverse cell-adhesion mediated drug resistance may prove beneficial in optimizing the efficacy of this class of drugs for the treatment of MM.
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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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) | 0,004 | 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 ».