Abstract A09: Development of epigenetic-based strategies for blocking breast cancer growth, invasion, and metastasis in vitro and in vivo
Notice bibliographique
Résumé
Abstract DNA hypomethylation has been implicated in the coordinated targeting of various signaling pathways involved in tumor growth and metastasis. In the current study, through various in vitro and in vivo assays, we have examined the plausibility of using universal methyl donor S-adenosyl methionine (SAM) to block breast cancer development, growth, and metastasis in our xenograft and transgenic models of breast cancer. Treatment of highly invasive human triple-negative breast cancer (TNBC) cell lines MDA-MB-231 and Hs578T with SAM resulted in a significant dose-dependent decrease in cell proliferation, invasion, migration, colony formation, and increased apoptosis in vitro. Affymetrix gene expression array and real-time PCR (qPCR) validated the ability of SAM to decrease the expression of several genes implicated in cancer progression in MDA-MB-231 cells. For the in vivo studies, MDA-MB-231 cells expressing green fluorescent protein (MDA-MB-231-GFP) were inoculated into female CD-1 nude mice via mammary fat pad. From day three post tumor cell inoculation, animals were treated with SAM (0.8-1.6 mg/day) or vehicle alone as control via daily oral gavage, and tumor volume was determined at weekly intervals for 10 weeks. SAM treatment caused a significant dose-dependent decrease in tumor volume and GFP-positive metastasis to lungs, liver, and spleen in experimental animals compared to vehicle-treated controls. Analysis of RNA from primary tumors by qPCR showed the ability of SAM to cause a marked decrease in the expression of several prometastatic and EMT pathway genes. Pyrosequencing of tumoral DNA from control and experimental animals showed that SAM treatment causes a significant increase in the percentage of CpG methylation at the promoter region of several cancer-related genes which were seen to be downregulated in the qPCR assay. We next determined the effect of SAM in MMTV-PyMT transgenic mouse model of breast cancer where SAM treatment resulted in a significant delay in the development of mammary tumors and decreased tumor growth in experimental animals as compared to vehicle-treated controls. SAM was found to bioavailable in the serum of experimental animals as determined by mass spectrometry and no notable adverse side effects were seen, including any change in animal behavior. Results from these studies provide compelling evidence for the therapeutic potential of SAM in breast cancer to provide the rationale for initiating clinical trials with SAM in patients with breast and other common cancers as monotherapy or in combination setting with current therapeutic agents to reduce cancer-associated morbidity and mortality. Note: This abstract was not presented at the conference. Citation Format: Niaz Mahmood, David Cheishvili, Ani Arakelian, William J. Muller, Imrana Tanveer, Haseeb Khan, Moshe Szyf, Shafaat A. Rabbani. Development of epigenetic-based strategies for blocking breast cancer growth, invasion, and metastasis in vitro and in vivo [abstract]. In: Proceedings of the AACR International Conference held in cooperation with the Latin American Cooperative Oncology Group (LACOG) on Translational Cancer Medicine; May 4-6, 2017; São Paulo, Brazil. Philadelphia (PA): AACR; Clin Cancer Res 2018;24(1_Suppl):Abstract nr A09.
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 | 0,001 |
| 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 ».