RT Journal Article
T1 A microRNA Signature Associated with Early Recurrence in Breast Cancer.
A1 Pérez-Rivas, Luis G
A1 Jerez, José M
A1 Carmona, Rosario
A1 Luque, Vanessa de
A1 Vicioso, Luis
A1 Claros, M Gonzalo
A1 Viguera, Enrique
A1 Pajares, Bella
A1 Sánchez, Alfonso
A1 Ribelles, Nuria
A1 Alba, Emilio
A1 Lozano, José
K1 MicroARNs
K1 Pronóstico
K1 Marcación de Gen
K1 Procedimientos Quirúrgicos Operativos
K1 Neoplasias de la Mama
K1 Regulación Neoplásica de la Expresión Génica
K1 Valor Predictivo de las Pruebas
K1 Movimiento Celular
K1 Metástasis de la Neoplasia
K1 Interferencia de ARN
AB Recurrent breast cancer occurring after the initial treatment is associated with poor outcome. A bimodal relapse pattern after surgery for primary tumor has been described with peaks of early and late recurrence occurring at about 2 and 5 years, respectively. Although several clinical and pathological features have been used to discriminate between low- and high-risk patients, the identification of molecular biomarkers with prognostic value remains an unmet need in the current management of breast cancer. Using microarray-based technology, we have performed a microRNA expression analysis in 71 primary breast tumors from patients that either remained disease-free at 5 years post-surgery (group A) or developed early (group B) or late (group C) recurrence. Unsupervised hierarchical clustering of microRNA expression data segregated tumors in two groups, mainly corresponding to patients with early recurrence and those with no recurrence. Microarray data analysis and RT-qPCR validation led to the identification of a set of 5 microRNAs (the 5-miRNA signature) differentially expressed between these two groups: miR-149, miR-10a, miR-20b, miR-30a-3p and miR-342-5p. All five microRNAs were down-regulated in tumors from patients with early recurrence. We show here that the 5-miRNA signature defines a high-risk group of patients with shorter relapse-free survival and has predictive value to discriminate non-relapsing versus early-relapsing patients (AUC = 0.993, p-value<0.05). Network analysis based on miRNA-target interactions curated by public databases suggests that down-regulation of the 5-miRNA signature in the subset of early-relapsing tumors would result in an overall increased proliferative and angiogenic capacity. In summary, we have identified a set of recurrence-related microRNAs with potential prognostic value to identify patients who will likely develop metastasis early after primary breast surgery.
PB Public Library of Science
YR 2014
FD 2014-03-14
LK http://hdl.handle.net/10668/1604
UL http://hdl.handle.net/10668/1604
LA en
NO Pérez-Rivas LG, Jerez JM, Carmona R, Luque V de, Vicioso L, Claros MG, et al. A microRNA Signature Associated with Early Recurrence in Breast Cancer. PLoS ONE. 2014; 9(3):e91884
NO Journal Article;
DS RISalud
RD Apr 8, 2025