Abstract 857: Anti-tumor and anti-metastatic activity of the eIF4E-targeted drug ribavirin in human and murine models of breast cancer.
Notice bibliographique
Résumé
Abstract The eukaryotic translation initiation factor 4E (eIF4E) is an oncogene that facilitates nuclear export and translation of specific mRNAs, including cyclins, c-myc, VEGF, MMPs and others. eIF4E can thus promote cell survival as well as the aggressive tumor cell behavior associated with metastasis. We and others have shown that eIF4E is frequently overexpressed in primary and metastatic breast cancers, and high expression correlates with poor prognosis, especially in patients with luminal B-type tumors. Ribavirin is an old antiviral drug that has also been shown to inhibit eIF4E and to reduce the clonogenic potential of cancer cells with elevated eIF4E. Ribavirin inhibits nuclear export and/or translation of eIF4E mRNA targets both in vitro and in vivo. In patients with acute myeloid leukemias expressing elevated eIF4E, ribavirin caused dramatic clinical responses, which correlated with reduced eIF4E level and activity. We have shown that ribavirin inhibits proliferation of breast cancer cells in vitro and in vivo at clinically relevant and non-toxic concentrations. Tumor cells isolated from ribavirin treated mice have significantly reduced clonogenic potential and cell lines exposed to ribavirin show reduced ability to grow as mammospheres. In this study, we further investigated the effects of ribavirin on the metastatic activities of murine and human breast cancer cells. We used MT2186, a cell line derived from a mammary tumor that developed in a MMTV-PyMT transgenic mouse, as well as human cell lines known to form metastatic tumors in mice. We found that ribavirin potently suppresses cell motility and invasion. This was accompanied by reduced secretion of MMP2 and -9 by MT2186 cells. Ribavirin also reduced levels of phosphorylated eIF4E and Akt. We further assessed the effect of Ribavirin on a process that closely resembles metastasis, the epithelial-to-mesenchymal transition (EMT). Consistent with the ability of ribavirin to suppress migration and invasion of tumor cells, ribavirin inhibited TGF-β induced EMT in normal, immortalized mammary epithelial cells. Ribavirin reduced both TGF-β induced cell motility and the increased expression of several mesenchymal markers. These changes correlated with a loss of TGF-β induced eIF4E phosphorylation. Our data suggest that ribavirin acts independently of the transcriptional response to TGF-β, since phosphorylation of Smad2 remained intact. Importantly, we also found in our tumor cell lines that ribavirin reduced basal expression of key proteins involved in EMT. Taken together, our data suggest that inhibition of eIF4E with ribavirin may inhibit breast cancer metastasis by directly suppressing cell migration and invasion, and by preventing the transition of cells from an epithelial to a mesenchymal, more metastatic phenotype. A Phase I/II clinical trial of Ribavirin in patients with metastatic solid tumors is currently ongoing. Citation Format: Filippa Pettersson, Audrey Emond, Bonnie Huor, Sonia del Rincon, Wilson H. Miller. Anti-tumor and anti-metastatic activity of the eIF4E-targeted drug ribavirin in human and murine models of breast cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 857. doi:10.1158/1538-7445.AM2013-857
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| 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 | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».