Abstract C39: Catalytic inhibition of human DNA topoisomerase II α by salicylate and related nonsteroidal anti-inflammatory drugs
Notice bibliographique
Résumé
Abstract Salicylate-based drugs, including aspirin (acetylsalicylic acid), have long been used in the treatment of mild to moderate cancer pain and have been shown in population-based studies to have cancer chemopreventive properties. Several mechanisms have been hypothesized to underlie these effects, including the inhibition of cyclooxygenases and the inhibition of the transcription factor NF-\#954;B. We have recently demonstrated, however, that salicylate, the primary metabolite of aspirin, is a novel catalytic inhibitor of human DNA topoisomerase IIα (topo II), a nuclear enzyme essential for cell proliferation and division and the target of several widely used anti-cancer chemotherapeutics. As a consequence of this inhibition, and independent of its capacity to inhibit cyclooxygenases and NF-\#954;B, we have demonstrated that a brief pretreatment of human breast cancer cells with salicylate attenuates the cytotoxicity of the topo II poisons, doxorubicin and etoposide. We have observed that salicylate prevents doxorubicin-induced DNA double-strand break generation, which is attributable to salicylate-mediated inhibition of doxorubicin-stabilized topo II-DNA cleavable complex formation in vivo. Together, these data suggest that co-administration of salicylates could negatively impact the efficacy of cancer treatment regimens incorporating topo II-targeting therapeutics. We have now extended our investigation of salicylate, using a biochemical approach to determine the mechanism whereby salicylate inhibits the catalytic activity of topo II. As the inhibition of topo II can occur at one of several stages in its catalytic cycle, we have undertaken multiple independent approaches, including an examination of DNA binding, DNA intercalation, measurement of ATPase activity and evaluation of salicylate's capacity to stabilize topo II in a closed clamp formation without causing DNA double-strand breaks. In addition to delineating the mechanism of salicylate-mediated inhibition of topo II, we have investigated whether common salicylate- and non-salicylate-based non-steroidal anti-inflammatory drugs (NSAIDs) possess similar topo II inhibitory properties, initially by examining the effects of short-term exposure on doxorubicin-induced DNA damage signaling followed by a direct examination of their effects on topo II catalytic activity. Our experiments demonstrate that inhibition of topo II is readily observed with multiple salicylate-based therapies at clinically achieved concentrations. These investigations identify a novel cellular target of salicylate and will inform future studies that may reveal evidence warranting the discouragement of NSAID co-administration in patients undergoing treatment for any of the broad-reaching malignancies using topo II poisons in their therapeutics regimen. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the Second AACR International Conference on Frontiers in Basic Cancer Research; 2011 Sep 14-18; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2011;71(18 Suppl):Abstract nr C39.
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) | 0,000 | 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».