2026-04-29T19:46:25Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/170622024-11-28T14:45:26Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16927

00925njm 22002777a 4500 dc Pérez-Rivas, Luis G author Jerez, José M author Carmona, Rosario author Luque, Vanessa de author Vicioso, Luis author Claros, M Gonzalo author Viguera, Enrique author Pajares, Bella author Sánchez, Alfonso author Ribelles, Nuria author Alba, Emilio author Lozano, José author 2014-03-14 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. 10.1371/journal.pone.0091884 1932-6203 PloS one http://hdl.handle.net/10668/1604 24632820 http://hdl.handle.net/20.500.12105/17062 MicroARNs Pronóstico Marcación de Gen Procedimientos Quirúrgicos Operativos Neoplasias de la Mama Regulación Neoplásica de la Expresión Génica Valor Predictivo de las Pruebas Movimiento Celular Metástasis de la Neoplasia Interferencia de ARN A microRNA Signature Associated with Early Recurrence in Breast Cancer.