Five microRNAs in Serum Are Able to Differentiate Breast Cancer Patients From Healthy Individuals

González, L. (Lucila); Garcia-Mayea, Y. (Yoelsis); Mir, C. (Cristina); Artola, M. (Mireia); Barragán, N. (Nieves); Martín, R. (Remedios); Altés, A. (Anna); Castellvi, J. (Josep); Benavente, S. (Sergi); Ramón-y-Cajal-Agüeras, S. (Santiago); Espinosa-Bravo, M. (Martín); Cortes, J. (Javier); Rubio, I.T. (Isabel T.); LLeonart, M.E. (Matilde E.); Feliciano, A. (Andrea)

Keywords:

Breast cancer
Serum
microRNAs
Prognosis
Diagnosis

Issue Date:

2020

Project:

info:eu-repo/grantAgreement/MINECO/Proyectos de investigación en salud (Modalidad proyectos de investigación en salud) (AES 2015)/PI15%2F01262/ES/Nuevas terapias aplicables a cánceres mamarios de naturaleza agresiva y metastática en base a aniquilar la población de células madre de cáncer

ISSN:

2234-943X

Note:

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Citation:

Feliciano, A. (Andrea); González, L. (Lucila); Garcia-Mayea, Y. (Yoelsis); et al. "Five microRNAs in Serum Are Able to Differentiate Breast Cancer Patients From Healthy Individuals". Frontiers in Oncology. 10 (586268), 2020,

Abstract

Breast cancer is the cancer with the most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. We focused on studying the expression levels of 30 microRNAs in the serum of 96 breast cancer patients vs. 92 control individuals. Bioinformatic studies provide a microRNA signature, designated as a predictor, based on the expression levels of five microRNAs. Then, we tested the predictor in a group of 60 randomly chosen women. Lastly, a proteomic study unveiled the overexpression and downregulation of proteins differently expressed in the serum of breast cancer patients vs. that of control individuals. Twenty-six microRNAs differentiate cancer tissue from healthy tissue, and 16 microRNAs differentiate the serum of cancer patients from that of the control group. The tissue expression of miR-99a, miR-497, miR-362, and miR-1274, and the serum levels of miR-141 correlated with patient survival. Moreover, the predictor consisting of miR-125b, miR-29c, miR-16, miR-1260, and miR-451 was able to differentiate breast cancer patients from controls. The predictor was validated in 20 new cases of breast cancer patients and tested in 60 volunteer women, assigning 11 out of 60 women to the cancer group. An association of low levels of miR-16 with a high content of CD44 protein in serum was found. Circulating microRNAs in serum can represent biomarkers for cancer prediction. Their clinical relevance and the potential use of the predictor here described are discussed.

URI:

https://hdl.handle.net/10171/66294

DOI:

10.3389/fonc.2020.586268

Appears in Collections:

DA - CUN - Patología mamaria - Artículos de revista

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