Transcriptomics of 3D pentaculture models of high grade serous ovarian cancer microenvironment

High-grade serous ovarian cancer (HGSOC) is characterized by a complex, immunosuppressive tumor microenvironment (TME) that contributes to poor clinical outcomes and resistance to therapy. To better replicate the human TME in vitro, we developed a 3D pentaculture model incorporating five human cell types: malignant HGSOC cells, primary fibroblasts, mesothelial cells, adipocytes, and monocytes. Bulk RNASequeing was performed to investigate the role of malignant cells in modulating the TME . Overall design: We constructed three omental microenvironments by incorporating primary adipocytes, fibroblasts, and mesothelial cells isolated from three different donors as biological replicates. Monocytes from a single donor were used in all experiments. Additionally 2D monocultures of fibroblasts (n = 3), mesothelial cells (n = 1), monocytes (n = 1), malignant cells (n = 2 per cell line) and non-diseased omentum free of malignant tissue (n = 3) were included in the analysis.