|Application:||miRNA array analysis|
|Number of samples:||20|
|Release date:||Apr 8 2016|
|Last update date:||Dec 13 2017|
|Diseases:||Breast Neoplasms, Neoplasms|
|Dataset link||The microRNAs with potential in predicting lung metastasis of triple negative breast cancer|
Four TNBC patients with lung metastasis underwent pulmonary lobectomy, and their matched surgical specimens of lung metastases (LM-Met), primary tumors (LM-Tumor) and normal breast tissues (LM-Normal) were obtained. Furthermore, to preclude the unspecific miRNAs in TNBC, primary tumors (RF-Tumor) and corresponding normal breast tissues (RF-Normal) from another four patients with 10-year recurrence-free survival were also collected. The initial 20 samples from the eight patients were prepared for miRNA profiling. Paired-Sample T Test and Significant Analysis of Microarray (SAM) were used to identify miRNAs with significantly altered expression (fold change > 1.5, p < 0.05). In comparison with Normal, the miRNAs significantly altered in both LM-Met and LM-Tumor, but not in RF-Tumor, was considered as predictive markers for lung metastasis of TNBC.