Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer Patients

Autor: Antonino Mulè, Giovanni Scambia, Ettore Capoluongo, Giampaolo Tortora, Chiara Autilio, Alejandro Martin Sanchez, Gianluca Franceschini, Brunella Di Stefano, Antonina Rinninella, Flavio Mignone, Mariantonietta Di Salvatore, Concetta Santonocito, Nicola Nicolotti, Carlo Barone, Alessandra Cassano, Armando Orlandi, Matteo Ramundo, Donatella Guarino, Damiano Arciuolo, Paola Fuso
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Personalized Medicine
E-Prints Complutense. Archivo Institucional de la UCM
Universidad Europea (UEM)
Volume 11
Issue 8
Journal of Personalized Medicine, Vol 11, Iss 816, p 816 (2021)
Popis: Background: The aim of this study is to identify miRNAs able to predict the outcomes in breast cancer patients after neoadjuvant chemotherapy (NAC). Patients and methods: We retrospectively analyzed 24 patients receiving NAC and not reaching pathologic complete response (pCR). miRNAs were analyzed using an Illumina Next-Generation-Sequencing (NGS) system. Results: Event-free survival (EFS) and overall survival (OS) were significantly higher in patients with up-regulation of let-7a-5p (EFS p = 0.006
OS p = 0.0001), mirR-100-5p (EFS s p = 0.01
OS p = 0.03), miR-101-3p (EFS p = 0.05
OS p = 0.01), and miR-199a-3p (EFS p = 0.02
OS p = 0.01) in post-NAC samples, independently from breast cancer subtypes. At multivariate analysis, only let-7a-5p was significantly associated with EFS (p = 0.009) and OS (p = 0.0008). Conclusion: Up-regulation of the above miRNAs could represent biomarkers in breast cancer.
Databáze: OpenAIRE