Context-Dependent miRNA Regulatory Landscapes in Breast Cancer Uncovered by Network Community Structure

Dysregulated microRNA (miRNA) expression is strongly linked to breast cancer, but their full impact on the transcriptome remains unexplored. To address this knowledge gap, we constructed a bipartite regulatory network of miRNAs and their mRNA targets using paired expression data from The Cancer Genome Atlas (TCGA). This network enables a comprehensive investigation of each miRNA’s systems level properties in breast cancer. Community analyses revealed 17 distinct regulatory communities, which define the coordinated functions of miRNA. These community-level insights uncovered novel collective miRNA functional associations. For example, the analysis reveals a link between the miR-29 family and the epithelial-to-mesenchymal transition (EMT) that is shared across breast cancer molecular subtypes. This suggests that the miR-29 family can uniquely be used as a key regulator of EMT across breast cancers. This network-centric approach highlights coordinated miRNA expression in breast cancer, integrating network medicine principles with miRNA biology to identify novel therapeutic targets.