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Fig. 3 | Breast Cancer Research

Fig. 3

From: MicroRNA expression and gene regulation drive breast cancer progression and metastasis in PyMT mice

Fig. 3

MicroRNA (MiRNA) expression analysis and miRNA-messenger RNA (mRNA) interaction validation. a MiRNA expression profiles during breast cancer (BRCA) progression in PyMT mice. The hierarchical clustering of miRNAs was carried out with the Ward method and the Euclidean distances of their expression profiles. The red dots indicate the miRNAs already present in another breast cancer study. b Comparison of PyMT miRNA-mRNA interactions with their human cancer orthologs. From the CancerMiner database for each human orthologous miRNA-mRNA pair, we calculated the average of recurrent scores for all cancer types and obtained the specific score for breast cancer and the minimum score for any cancer type. The more negative the score, the more reliable the validation of the interaction. Therefore, 0 was used as the threshold to differentiate false and true positives. c Score distributions of human orthologs of PyMT miRNA-mRNA interactions in CancerMiner. The negative values indicate the interactions are validated by all three different datasets

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