A microRNA signature associated with early recurrence in breast cancer

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 pathologic...

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Bibliographic Details
Published in:PloS one 2014-03, Vol.9 (3), p.e91884-e91884
Main Authors: Pérez-Rivas, Luis G, Jerez, José M, Carmona, Rosario, de Luque, Vanessa, Vicioso, Luis, Claros, M Gonzalo, Viguera, Enrique, Pajares, Bella, Sánchez, Alfonso, Ribelles, Nuria, Alba, Emilio, Lozano, José
Format: Article
Language:English
Subjects:
Analysis
Angiogenesis
Biology and life sciences
Biomarkers
Biomarkers, Tumor - genetics
Breast cancer
Breast Neoplasms - diagnosis
Breast Neoplasms - genetics
Breast Neoplasms - pathology
Breast Neoplasms - surgery
Breast surgery
Cancer
Cancer metastasis
Cancer therapies
Cell cycle
Cluster Analysis
Clustering
Data analysis
Data processing
Disease-Free Survival
Female
Gene expression
Gene Expression Profiling
Gene Ontology
Genomes
Hospitals
Humans
Information management
Medical prognosis
Medicine and Health Sciences
Metastases
MicroRNA
MicroRNAs
MicroRNAs - genetics
Middle Aged
miRNA
Neoplasm Recurrence, Local - genetics
Network analysis
Oligonucleotide Array Sequence Analysis
Patients
Prognosis
Recurrence (Disease)
Research and Analysis Methods
Ribonucleic acid
Risk groups
RNA
ROC Curve
Surgery
Time Factors
Tumors
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Summary: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
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0091884