Three-Dimensional Organotypic Cultures Reshape the microRNAs Transcriptional Program in Breast Cancer Cells

Simple Summary Three-dimensional (3D) cell cultures have several advantages over conventional monolayer two-dimensional (2D) cultures as they can better mimic tumor biology. This study delineates the changes in microRNAs (miRNAs) expression patterns of breast cancer cells cultured in 3D and 2D conditions. 3D organotypic cultures showed morphological changes such as cell-cell and cell-extracellular matrix interactions associated with a loss of polarity and reorganization on bulk structures in both basal Hs578T and luminal T47D breast cancer cells. Data indicate that downregulated miRNAs in Hs578T 3D cultures, relative to the 2D condition, contribute to a positive regulation of biological processes such as response to hypoxia and focal adhesion, whereas overexpressed miRNAs were related to negative regulation of the cell cycle. Remarkably, the reprogramming of miRNAs transcriptional profile was accompanied by changes in the expression of key miRNA/mRNA coregulation networks, such as miR-935/HIF-1A, which correlated with the expression found in clinical breast tumors and predicted poor patient outcomes. These data have implications in our understanding of cancer biology and impact the miRNA/mRNA regulatory axes of cells grown in 3D cultures. Our data represent a guide for novel miRNAs candidates for functional analysis, including the response to therapy and biomarkers discovery in breast cancer. The 3D organotypic cultures, which depend on the growth of cells over the extracellular matrix (ECM) used as a scaffold, can better mimic several characteristics of solid cancers that influence tumor biology and the response to drug therapies. Most of our current knowledge on cancer is derived from studies in 2D cultures, which lack the ECM-mediated microenvironment. Moreover, the role of miRNAs that is critical for fine-tuning of gene expression is poorly understood in 3D cultures. The aim of this study was to compare the miRNA expression profiles of breast cancer cells grown in 2D and 3D conditions. On an on-top 3D cell culture model using a basement membrane matrix enriched with laminin, collagen IV, entactin, and heparin-sulfate proteoglycans, the basal B (Hs578T) and luminal (T47D) breast cancer cells formed 3D spheroid-like stellate and rounded mass structures, respectively. Morphological changes in 3D cultures were observed as cell stretching, cell-cell, and cell-ECM interactions associated with a loss of polarity and reorganization on bulk structures. Interestingly, we found prolongations of the cytoplasmic membrane of Hs578T cells similar to tunneled nanotubes contacting between neighboring cells, suggesting the existence of cellular intercommunication processes and the possibility of fusion between spheroids. Expression profiling data revealed that 354 miRNAs were differentially expressed in 3D relative to 2D cultures in Hs578T cells. Downregulated miRNAs may contribute to a positive regulation of genes involved in hypoxia, catabolic processes, and focal adhesion, whereas overexpressed miRNAs modulate genes involved in negative regulation of the cell cycle. Target genes of the top ten modulated miRNAs were selected to construct miRNA/mRNA coregulation networks. Around 502 interactions were identified for downregulated miRNAs, including miR-935/HIF1A and miR-5189-3p/AKT that could contribute to cell migration and the response to hypoxia. Furthermore, the expression levels of miR-935 and its target HIF1A correlated with the expression found in clinical tumors and predicted poor outcomes. On the other hand, 416 interactions were identified for overexpressed miRNAs, including miR-6780b-5p/ANKRD45 and miR-7641/CDK4 that may result in cell proliferation inhibition and cell cycle arrest in quiescent layers of 3D cultures. In conclusion, 3D cultures could represent a suitable model that better resembles the miRNA transcriptional programs operating in tumors, with implications not only in the understanding of basic cancer biology in 3D microenvironments, but also in the identification of novel biomarkers of disease and potential targets for personalized therapies in cancer.