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Breast cancer (BC) ranks first among malignancies in the female population due to its complicated pathological progression and poor prognosis. Hence, the aim of the present study was to identify potential molecular prognostic biomarkers able to predict the prognosis of BC patients. We integrated two microRNA (miRNA) expression microarrays and three gene microarrays related to BC from the NCBI Gene Expression Comprehensive (GEO) database to screen for differentially expressed miRNAs and identify their regulatory networks. The Kaplan-Mei
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