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Int. J. Mol. Sci. 2017, 18(10), 2116;

Prediction Potential of Serum miR-155 and miR-24 for Relapsing Early Breast Cancer

BIOCEV, First Faculty of Medicine, Charles University, Vestec 25250, Czech Republic
Faculty of Mathematics and Physics, Charles University, Prague 18675, Czech Republic
Comprehensive Cancer Centre, Regional Hospital Liberec, Liberec 46063, Czech Republic
Author to whom correspondence should be addressed.
Received: 12 September 2017 / Revised: 2 October 2017 / Accepted: 4 October 2017 / Published: 10 October 2017
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Oncogenic microRNAs (oncomiRs) accumulate in serum due to their increased stability and thus serve as biomarkers in breast cancer (BC) pathogenesis. Four oncogenic microRNAs (miR-155, miR-19a, miR-181b, and miR-24) and one tumor suppressor microRNA (let-7a) were shown to differentiate between high- and low-risk early breast cancer (EBC) and reflect the surgical tumor removal and adjuvant therapy. Here we applied the longitudinal multivariate data analyses to stochastically model the serum levels of each of the oncomiRs using the RT-PCR measurements in the EBC patients (N = 133) that were followed up 4 years after diagnosis. This study identifies that two of the studied oncomiRs, miR-155 and miR-24, are highly predictive of EBC relapse. Furthermore, combining the oncomiR level with Ki-67 expression further specifies the relapse probability. Our data move further the notion that oncomiRs in serum enable not only monitoring of EBC but also are a very useful tool for predicting relapse independently of any other currently analyzed characteristics in EBC patients. Our approach can be translated into medical practice to estimate individual relapse risk of EBC patients. View Full-Text
Keywords: breast cancer; microRNA; relapse; miR-155; miR-24; Ki-67 breast cancer; microRNA; relapse; miR-155; miR-24; Ki-67

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Bašová, P.; Pešta, M.; Sochor, M.; Stopka, T. Prediction Potential of Serum miR-155 and miR-24 for Relapsing Early Breast Cancer. Int. J. Mol. Sci. 2017, 18, 2116.

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