Abstract A023: Investigating differential expression of microRNAs in the luminal breast cancer subtype
Notice bibliographique
Résumé
Abstract Breast Cancer is a heterogeneous disease, and tumors vary in pathological and clinical characteristics making it important that tumors be accurately characterized at diagnosis. Current methods reveal a number of breast cancer subtypes correlating with clinical factors; however, patients with the luminal subtype have a range of outcomes. Our hypothesis is that microRNA (miRNA) expression profiling may provide a method of discriminating tumors in this subtype into good and poor prognosis groups, as well as reveal potential biological factors affecting prognosis. Expression profiling was performed on miRNAs from 39 primary ER+, HER2- luminal breast tumors from a prospective cohort of women with node negative breast cancer with a median follow-up time of 116 months. Of the 39 tumors, 19 were from patients who eventually experienced a recurrence and 20 were from matched patients who remained disease-free. Total RNA was extracted from the specimens and the miRNAs quantified using TaqMan Array MicroRNA Cards. Results analyzed using significance analysis of microarrays (SAM) revealed nine miRNAs with a standard t-test p-value less than 0.05 and ranked within the top 20, designated as significantly differentially expressed between the two groups. Four of these, miR-135a, miR-140-5p, miR-200a, and miR-218, were selected for validation on the same samples using singleplex quantitative real-time PCR conducted in triplicate, and confirmed to be significantly less expressed in tumors in patients who had experienced recurrence compared to tumors from patients without recurrence. Functional analysis of miR-200a and miR-218 is being performed in MCF-7 breast cancer cells to determine the role they play in luminal breast cancer recurrence. Validated targets of these miRNAs suggest involvement in epithelial to mesenchymal transition and cellular migration, invasion, and proliferation. The activity of these miRNAs is being studied in vitro and altered expression of miRNA targets is being confirmed. Future studies to examine whether these modifications result in changes in tumorgenicity phenotypes will be addressed by assaying cell proliferation, migration, and invasion. This project has the potential to aid in improving breast cancer prognostication in the clinical setting, improve our knowledge of the role if miRNAs in luminal breast cancer, and identify miRNAs suitable as possible diagnostic biomarkers or novel therapeutic targets. Citation Format: Dylan A. Ehman, Dushanthi Pinnaduwage, Shelley B. Bull, Irene L. Andrulis. Investigating differential expression of microRNAs in the luminal breast cancer subtype. [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 A023.
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 | 0,000 | 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 | 0,000 |
| 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 ».