Abstract 7140: A new series of flavonoid derivatives with anti-cancer activity includes SDN207, SND210, SND524, and SND562 as potent microtubule-targeting agents
Notice bibliographique
Résumé
Abstract Background: Plant-derived compounds, including flavonoids, can be potent anti-cancer agents, but low bioavailability, lack of specificity, and complexity in their synthesis can hamper their clinical development. Here, we present seven novel flavonoid derivatives, and test them for their anti-tumor activity in various models derived from hematological cancers and solid tumors. Methods: MTT assessed anti-proliferative activity after 72h of exposure to increasing concentrations of drugs. Tubulin Polymerization Assay was performed with 3-fold dilutions (15-0.02 μM), compared to paclitaxel (1-3 μM) or vinblastine (3 μM) as references. The OncolinesProfiler analysis was used to compare IC50 fingerprints determined on the Oncolines cell line panel to the IC50 fingerprints of 213 pre-profiled reference drugs. Results: SDN207, SND210, SND216, SND462, SND504, SND524, and SND562 were designed and synthesized using a flavonoid polyphenol scaffold selectively modified to markedly increase cytotoxicity towards cancer cells. All seven compounds showed dose-dependent anti-proliferative activity across 15 lymphoma cell lines derived from germinal center B-cell-like (GCB) diffuse large B cell lymphoma (DLBCL) (n=6), activated B cell-like (ABC) DLBCL (n=2), mantle cell lymphoma (n=4), and marginal zone lymphoma (MZL) (n=3). Activity in the nM range was seen with five compounds: SDN207 (median IC50 1.6 nM; 95%CI, 1.3-3.2), SND210 (1.4 nM; 95%CI, 0.9-3.3), SND216 (19.5 nM; 95%CI, 10-38 nM), SND562 (28.9 nM; 95%CI, 15.4-57.7), and SND524 (46.7 nM; 95%CI, 32-133.3). Both other compounds had a median IC50 of 2 μΜ (SND462, 95%CI, 1.1-4.5 μM; SND504, 95%CI, 0.5-3.9 μM). There were no differences based on lymphoma histology. The anti-tumor activity was maintained in MZL cell lines with acquired resistance to BTK and PI3K inhibitors (n=3). Six compounds were also assessed for their anti-tumor activity in models other than lymphomas (SDN207, n=31; SND210, n=20; SND462, n=4; SND504, n=4; SND524, n=9; SND562, n=35), confirming the higher activity for SDN207, SND210, SND562, and SND524. Regarding the mechanism of action, up to now, a tubulin polymerization assay was performed for three compounds. Microtubule depolymerization (SND207), and microtubule polymerization (SND524, SND562) were observed at concentrations as low as 20 nM. The OncolinesProfiler identified the tubulin-targeting agents vinblastine, vincristine, paclitaxel, and docetaxel among the top reference compounds most correlated with SND207 and SND210 (i.e., Pearson correlation > 0.5). Conclusions: Novel compounds developed using plant-derived skeletons have shown in vitro anti-tumor activity in lymphomas, leukemias, and solid tumors, including models of resistance to targeted agents. Microtubule targeting appeared as a possible mechanism of action for at least four of them. Citation Format: Alberto J. Arribas, Eleonora Cannas, Eugenio Gaudio, Paulina Biniecka, Dan Stoicescu, Francesco Bertoni. A new series of flavonoid derivatives with anti-cancer activity includes SDN207, SND210, SND524, and SND562 as potent microtubule-targeting agents [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7140.
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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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,002 |
| 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 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 ».