In vitro vascularized tumor platform for modeling tumor‐vasculature interactions of inflammatory breast cancer
Year: 2020
Type: article
Abstract: Inflammatory breast cancer (IBC), a rare form of breast cancer associated with increased angiogenesis and metastasis, is largely driven by tumor-stromal interactions with the vasculature and the extracellular matrix (ECM). However, there is currently a lack of understanding of the role these interactions play in initiation and progression of the disease. In this study, we developed the first three-dimensional, in vitro, vascularized, microfluidic IBC platform to quantify the spatial and temporal dynamics of tumor-vasculature and tumor-ECM interactions specific to IBC. Platforms consisting of collagen type 1 ECM with an endothelialized blood vessel were cultured with IBC cells, MDA-IBC3 (HER2+) or SUM149 (triple negative), and for comparison to non-IBC cells, MDA-MB-231 (triple negative). Acellular collagen platforms with endothelialized blood vessels served as controls. SUM149 and MDA-MB-231 platforms exhibited a significantly (p < .05) higher vessel permeability and decreased endothelial coverage of the vessel lumen compared to the control. Both IBC platforms, MDA-IBC3 and SUM149, expressed higher levels of vascular endothelial growth factor (p < .05) and increased collagen ECM porosity compared to non-IBCMDA-MB-231 (p < .05) and control (p < .01) platforms. Additionally, unique to the MDA-IBC3 platform, we observed progressive sprouting of the endothelium over time resulting in viable vessels with lumen. The newly sprouted vessels encircled clusters of MDA-IBC3 cells replicating a key feature of in vivo IBC. The IBC in vitro vascularized platforms introduced in this study model well-described in vivo and clinical IBC phenotypes and provide an adaptable, high throughput tool for systematically and quantitatively investigating tumor-stromal mechanisms and dynamics of tumor progression.
Source: Biotechnology and Bioengineering
DOI: 10.1002/bit.27487
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: G2768013481, Quantitative Multiscale Imaging to Optimize Cancer Treatment Strategies, Comprehensive Training program in Imaging Science and Informatics, Nanoparticle Transport as a function of Physiologic and Hyperthermic Conditions in a 3D Vascularized Microfluidic Tumor Platform, Novel Tumor Vascular Model for Investigating Tumor Angiogenesis and Cancer Therap, G5779098181, G5909327616, Recruitment of Established Investigators, Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast Cancer
OpenAlex ID: W2890917880
