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Disease Markers
Volume 34 (2013), Issue 3, Pages 163-169
http://dx.doi.org/10.3233/DMA-120957

Serum Circulating microRNA Profiling for Identification of Potential Breast Cancer Biomarkers

Fermín Mar-Aguilar,1 Jorge A. Mendoza-Ramírez,1 Ismael Malagón-Santiago,1 Perla K. Espino-Silva,4 Sandra K. Santuario-Facio,3 Pablo Ruiz-Flores,4 Cristina Rodríguez-Padilla,2 and Diana Reséndez-Pérez1,2

1Departamento de Biología Celular y Genética, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Nuevo León, México, Mexico
2Departamento de Inmunología y Virología, Facultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Nuevo León, México, Mexico
3Departamento de Bioquímica, Facultad de Medicina, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Nuevo León, México, Mexico
4Departamento de Genética y Medicina Molecular, Facultad de Medicina, Universidad Autónoma de Coahuila, Torreón, Coahuila, Mexico

Received 28 December 2012; Accepted 28 December 2012

Copyright © 2013 Hindawi Publishing Corporation. 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.

Abstract

MicroRNAs (miRNAs) are a class of small, non-coding RNA molecules that can regulate gene expression, thereby affecting crucial processes in cancer development. miRNAs offer great potential as biomarkers for cancer detection because of their remarkable stability in blood and their characteristic expression in different diseases. We investigated whether quantitative RT-PCR miRNA profiling on serum could discriminate between breast cancer patients and healthy controls. We performed miRNA profiling on serum from breast cancer patients, followed by construction of ROC (Receiver Operating Characteristic) curves to determine the sensitivity and specificity of the assay. We found that seven miRNAs (miR-10b, miR-21, miR-125b, miR-145, miR-155 miR-191 and miR-382) had different expression patterns in serum of breast cancer patients compared to healthy controls. ROC curve analyses revealed that three serum miRNAs could be valuable biomarkers for distinguishing BC from normal controls. Additionally, a combination of ROC curve analyses of miR-145, miR-155 and miR-382 showed better sensitivity and specificity of our assay. miRNA profiling in serum has potential as a novel method for breast cancer detection in the Mexican population.