Recapitulating spatiotemporal tumor heterogeneity in vitro through engineered breast cancer microtissues

[Display omitted] Tumor and microenvironmental heterogeneity hinders the study of breast cancer biology and the assessment of therapeutic strategies, being associated with high variability and drug resistance. In this context, it is mandatory to develop three-dimensional breast tumor models able to reproduce this heterogeneity and the dynamic interaction occurring between tumor cells and microenvironment. Here we show a new breast cancer microtissue model (T-µTP) uniquely able to present intra-tumor morphological heterogeneity in a dynamic and responsive endogenous matrix. T-µTP consists of adenocarcinoma cells, endothelial cells and stromal fibroblasts. These three kinds of cells are totally embedded into an endogenous matrix which is rich in collagen and hyaluronic acid and it is directly produced by human fibroblasts. In this highly physiologically relevant environment, tumor cells evolve in different cluster morphologies recapitulating tumor spatiotemporal heterogeneity. Moreover they activate the desmoplastic and vascular reaction with affected collagen content, assembly and organization and the presence of aberrant capillary-like structures (CLS). Thus, T-µTP allows to outline main crucial events involved in breast cancer progression into a single model overcoming the limit of artificial extra cellular matrix surrogates. We strongly believe that T-µTP is a suitable model for the study of breast cancer and for drug screening assays following key parameters of clinical interest. Tumor and microenvironmental heterogeneity makes very hurdle to find a way to study and treat breast cancer. Here we develop an innovative 3D tumor microtissue model recapitulating in vitro tumor heterogeneity. Tumor microtissues are characterized by the activation of the stromal and vascular reaction too. We underline the importance to mimic different microenvironmental tumor features in the same time and in a single tissue in order to obtain a model of spatiotemporal tumor genesis and progression, suitable for the study of tumor treatment and resistance.