A 3D Human Renal Cell Carcinoma-on-a-Chip for the Study of Tumor Angiogenesis

• Main Authors: Chris P. Miller, Connor Tsuchida, Ying Zheng, Jonathan Himmelfarb, Shreeram Akilesh
• Format: Article
• Language: English
• Published: Elsevier 2018-06-01
• Series: Neoplasia: An International Journal for Oncology Research
• Online Access: http://www.sciencedirect.com/science/article/pii/S1476558617304852

Tractable human tissue-engineered 3D models of cancer that enable fine control of tumor growth, metabolism, and reciprocal interactions between different cell types in the tumor microenvironment promise to accelerate cancer research and pharmacologic testing. Progress to date mostly reflects the use of immortalized cancer cell lines, and progression to primary patient-derived tumor cells is needed to realize the full potential of these platforms. For the first time, we report endothelial sprouting induced by primary patient tumor cells in a 3D microfluidic system. Specifically, we have combined primary human clear cell renal cell carcinoma (ccRCC) cells from six independent donors with human endothelial cells in a vascularized, flow-directed, 3D culture system (“ccRCC-on-a-chip”). The upregulation of key angiogenic factors in primary human ccRCC cells, which exhibited unique patterns of donor variation, was further enhanced when they were cultured in 3D clusters. When embedded in the matrix surrounding engineered human vessels, these ccRCC tumor clusters drove potent endothelial cell sprouting under continuous flow, thus recapitulating the critical angiogenic signaling axis between human ccRCC cells and endothelial cells. Importantly, this phenotype was driven by a primary tumor cell–derived biochemical gradient of angiogenic growth factor accumulation that was subject to pharmacological blockade. Our novel 3D system represents a vascularized tumor model that is easy to image and quantify and is fully tunable in terms of input cells, perfusate, and matrices. We envision that this ccRCC-on-a-chip will be valuable for mechanistic studies, for studying tumor-vascular cell interactions, and for developing novel and personalized antitumor therapies.