Systematic analysis of metastasis-associated genes identifies miR-17-5p as a metastatic suppressor of basal-like breast cancer.

The purpose of this study is to identify metastasis-associated genes/signaling pathways in basal-like breast tumors. Kaplan-Meier analysis of two public meta-datasets and functional classification was used to identify genes/signaling pathways significantly associated with distant metastasis free survival. Integrated analysis of expression correlation and interaction between mRNAs and miRNAs was used to identify miRNAs that potentially regulate the expression of metastasis-associated genes. The novel metastatic suppressive role of miR-17-5p was examined by in vitro and in vivo experiments. Over 4,000 genes previously linked to breast tumor progression were examined, leading to identification of 61 and 69 genes significantly associated with shorter and longer DMFS intervals of patients with basal-like tumors, respectively. Functional annotation linked most of the pro-metastatic genes to epithelial mesenchymal transition (EMT) process and three intertwining EMT-driving pathways (hypoxia, TGFB and Wnt), whereas most of the anti-metastatic genes to interferon signaling pathway. Members of three miRNA families (i.e., miR-17, miR-200 and miR-96) were identified as potential regulators of the pro-metastatic genes. The novel anti-metastatic function of miR-17-5p was confirmed by in vitro and in vivo experiments. We demonstrated that miR-17-5p inhibition in breast cancer cells enhanced expression of multiple pro-metastatic genes, rendered cells metastatic properties, and accelerated lung metastasis from orthotopic xenografts. In contrast, intratumoral administration of miR-17-5p mimic significantly reduced lung metastasis. These results provide evidence supporting that EMT activation and IFN pathway inactivation are markers of metastatic progression of basal-like tumors, and members of miR-17, miR-200, and miR-96 families play a role in suppressing EMT and metastasis. The metastasis-associated genes identified in this study have potential prognostic values and functional implications, thus, can be exploited as therapeutic targets to prevent metastasis of basal-like breast tumors.