Abstract A50: Nonredundant functions of splicing factors in breast-cancer initiation and metastasis
Notice bibliographique
Résumé
Abstract Alternative splicing is a key control point in gene expression, whose misregulation contributes to cancer malignancy. Although certain splicing factors (SFs) and their targets are altered in human tumors, the functional significance of these alterations remains unclear. We previously demonstrated that the splicing factor SRSF1 is upregulated in human breast tumors and promotes transformation in vivo and in vitro. SRSF1 is a prototypical member of the SR protein family, composed of 12 structurally related proteins. However, little is known about differences and redundancies in their splicing targets and biological functions. Here, we investigated whether additional SFs also promoted breast cancer, using transformation models that mimic the relevant biological context. In parallel, we used RNA sequencing (RNA-seq) to systematically identify their oncogenic splicing targets. By mining a large collection of human tumors from the TCGA project, we defined the molecular portraits of SFs alterations in breast tumors. We identified five SFs amplified and/or overexpressed in at least 10% of breast tumors. We then used SF-overexpressing human mammary epithelial MCF-10A cells grown in organotypic 3-D culture; these cells form polarized growth-arrested acinar structures, similar to the terminal units of mammary ducts. Various breast-cancer oncogenes are known to disrupt acinar growth and/or architecture. Interestingly, only certain SFs were oncogenic in this context, differentially affecting cell proliferation, apoptosis, or acinar organization, suggesting non-redundant functions. We then characterized the splicing targets relevant for SF-mediated transformation. We developed a bioinformatics pipeline to identify and quantify splicing variation in RNA-seq data. We defined the global repertoire of SF-regulated splicing events in 3-D culture and compared the target specificities of various SR proteins. In addition, we identified splicing targets regulated both in 3-D culture as well as in human breast tumors. Strikingly, SFs that promoted similar phenotypic changes shared a significant number of splicing targets, suggesting that they regulate common genes to promote tumor initiation. Furthermore, specific SFs affected targets previously associated with epithelial to mesenchymal transition, and increased cell migration or invasion. Finally, we uncovered that the splicing regulator TRA2β is required for the maintenance of metastatic properties of human breast-cancer cells in 3-D culture and in mouse orthotopic models. Furthermore, TRA2β levels correlate with increased metastatic incidence in breast cancer patients. Thus TRA2β represent a potential target for therapeutics development. In summary, we gained new insights into the biological functions of SR proteins and identified novel oncogenic SF-regulated splicing events involved in tumor initiation and metastasis. Citation Format: Olga Anczuków, Shipra Das, Kuan-Ting Lin, Jie Wu, Martin Akerman, Senthil K. Muthuswamy, Adrian R. Krainer. Nonredundant functions of splicing factors in breast-cancer initiation and metastasis. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research; Oct 17-20, 2015; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Res 2016;14(2_Suppl):Abstract nr A50.
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 | 0,001 | 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) | 0,000 | 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 ».