Abstract B065: The RSK/YB-1 pathway represents an opportunity for targeting TNBC and holds promise of treating metastases
Notice bibliographique
Résumé
Abstract Triple-negative breast cancers (TNBC) account for 15-25% of all breast cancers, have poor outcomes and high rates of relapse. Along with metastatic disease treatment options for TNBC are limited to that of conventional chemotherapy. The lack of targeted therapies for these cancers is a distinct unmet clinical need. YB-1, a transcription factor, is associated with 70% of TNBC and poor prognosis. While YB-1 is not easily druggable, p90 ribosomal S6 kinase (RSK), which lies upstream of YB-1 and activates it by phosphorylation of serine 102, is an ideal candidate. We recently reported that RSK inhibition decreases TNBC cell growth. Also RSK and YB-1 are implicated in invasion and therefore may play a role in metastatic spread. Herein, we asked whether RSK inhibitors would be beneficial for patients with metastatic disease. Our concern for treating metastatic disease was inspired by a study we conducted in 2222 patients with breast cancer. Women who had local, regional or distant metastases were at a much higher risk of dying. Remarkably those with distant metastases were 100 times for likely to die from breast cancer as compared to those without disseminated disease. Further, women with TNBC specifically had the worst outcomes and their time to death was the shortest of any breast cancer subtype. We therefore conducted a screen of 128 compounds, which are in clinical trials, in SUM149 TNBC cells and compared them to the RSK inhibitor BI-D1870. Most of these drugs failed to inhibit TNBC growth; however, BI-D1870 was highly active. These promising results point towards RSK as a potential molecular target for TNBC yet there are no inhibitors available for use in patients at this time. To further validate RSK as a target for TNBC we asked which of the four RSK isoforms (RSK1-4) are expressed. Only RSK 1 and 2 are expressed in breast cancer cell lines. Inhibiting RSK by siRNA or BI-D1870 suppressed the growth of TNBC cells by ~90%; however, there was less of an effect on non-TNBC cells where growth was attenuated by ~50%. RSK inhibition with siRNA also triggered apoptosis to a greater degree in TNBC cell lines. There was no growth inhibitory effect on normal mammary epithelial cells (184htrt). Further, RSK inhibition suppressed the growth of TNBC colonies in soft agar by ~90%. Kinexus antibody arrays were used to understand why loss of RSK suppressed the growth of TNBC. Of note, cell proliferation, invasion and apoptosis proteins were suppressed indicating the multifaceted benefit of inhibiting RSK. Next we asked whether the RSK/YB-1 pathway was active in metastases. We assessed activated RSK in a panel of metastatic murine breast cancer cell lines. The RSK pathway was more active in the metastatic cell lines compared to the non-metastatic cells. Taking this further, we compared the non-metastatic 67NR to the metastatic 4T1 cells where RSK 1 and 2 were more highly expressed in the latter. Likewise, P-YB-1S102 was more active. Transfecting 67NR cells with activated RSK1 increased their invasion. Conversely inhibiting RSK with BI-D1870 decreased the growth and invasion of the 4T1 cells. In a mouse xenograft model, P-YB-1S102 was highly expressed in the lung and liver metastases obtained from the 4T1 cells. Similarly, P-YB-1S102 was active in a distant metastases obtained from a patient with TNBC. Subsequently, we identified three RSK inhibitors from a chemical library screen. The most active agent, compound 2, had an in vitro IC50=10nM which was comparable to BI-D1870. Accordingly compound 2 inhibited TNBC growth and signaling through YB-1. In conclusion we identify RSK as a promising therapeutic target for TNBC that has the potential to suppress the growth of metastases. Citation Format: Anna L. Stratford, Rachel Berns, Pauline So, Mary R. Pambid, Fotovati Abbas, Samah Abu-Ali, Kaiji Hu, Kevin Bennewith, Edie Dullaghan, Sandra E. Dunn. The RSK/YB-1 pathway represents an opportunity for targeting TNBC and holds promise of treating metastases. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research: Genetics, Biology, and Clinical Applications; Oct 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2013;11(10 Suppl):Abstract nr B065.
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 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) | 0,000 | 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) | 0,000 | 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 ».