Abstract A024: A potent eIF4A1/2 inhibitor CR-1-31B down-modulates the antioxidant stress response in osteosarcoma cells and inhibits <i>in vivo</i> lung metastases
Notice bibliographique
Résumé
Abstract Background: Effective treatment of metastatic disease remains a major challenge in the improvement of patient outcomes in osteosarcoma (OS). Novel anti-metastatic therapies are needed to treat distant metastases. To this end, the current research evaluates whether targeting the dysregulated mRNA translation machinery in OS can inhibit metastases. Hypothesis: We hypothesize that mRNA translation factors present at an abnormally high abundance in OS cells support the rapid synthesis of cytoprotective proteins that are needed to survive in the oxidative stress-rich microenvironment of the lung. Experimental Approach: Databases of OS cell lines and patient tumor data (A. Sweet-Cordero, UCSF) were queried to identify mRNA translation factors with abnormal transcript levels. A limited drug screen of small molecule inhibitors (SMIs) against identified candidates was carried out to evaluate IC50 values in metastatic OS cells. A candidate inhibitor identified from these data was further characterized for synergy with chemical inducers of oxidative stress (e.g. tert-butylhydroquinone [tBHQ]) that mimics conditions encountered in the lung. Drug combination studies examined 2D and 3D tumor spheroid growth, cellular oxidative stress, and PARP-cleavage, under +/- inhibitor and +/- oxidative stress conditions. Metastatic OS cells were engineered to express an antioxidant response element (ARE)-mCherry fluorescent reporter to directly monitor the antioxidant response by fluorescence microscopy. Polysome profiling was used to assess inhibitor-mediated changes in global mRNA translation. The anti-metastatic activity of the inhibitor was tested in the ex vivo pulmonary metastasis assay (PuMA) and in in vivo metastasis models. Results: From cell and patient sample screening, eIF4A1/2 was identified as being abnormally regulated in metastatic OS cells. The SMI, CR-1-31B, specifically targets eIF4A1/2 and was found to have an IC50 of just 8 nM. CR-1-31B was found to inhibit tumor cell growth in 2D and 3D, increase cellular oxidative stress, and enhance PARP-cleavage, but only under oxidative stress conditions. Western analysis of tBHQ-treated metastatic OS cells with the ARE-mCherry reporter confirmed that the temporal expression of mCherry correlated with the upregulation of Nuclear factor erythroid 2-related factor-2 (Nrf2), a key transcriptional regulator of the antioxidant response. CR-1-31B blunted the upregulation of the antioxidant response in 2D and 3D tumor growth conditions with oxidative stress. CR-1-31B, in a dose-dependent manner, decreased the amount of polysomal mRNAs. CR-1-31B reduced the lung tumor burden in the ex vivo PuMA model, delayed primary tumor growth, and reduced lung metastases in in vivo xenograft OS models. Conclusions: Our data demonstrates that dysregulated mRNA translation is a metastatic vulnerability that can be exploited with SMIs. Altogether, these data support the inhibition of metastatic OS by CR-1-31B, highlighting the potential therapeutic utility of this selective translation inhibitor. Citation Format: Michael M. Lizardo, Christopher Hughes, Yue Zhou Huang, Alberto Delaidelli, Taras Shyp, Haifeng Zhang, Sol Snir Shaool, Poul H. Sorensen. A potent eIF4A1/2 inhibitor CR-1-31B down-modulates the antioxidant stress response in osteosarcoma cells and inhibits in vivo lung metastases [abstract]. In: Proceedings of the AACR Special Conference: Cancer Metastasis; 2022 Nov 14-17; Portland, OR. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_2):Abstract nr A024.
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) | 0,000 | 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) | 0,004 | 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 ».