A 3D microvascular network model to study the impact of hypoxia on the extravasation potential of breast cell lines
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s41598-018-36381-5.pdf
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Author(s)
Song, Jiho
Miermont, Agnès
Lim, Chwee-Teck
Kamm, Roger Dale
Date Issued
2018
Journal
Scientific Reports
Publisher
Springer Nature
Citation
Song, Jiho, Agnès Miermont, Chwee Teck Lim, and Roger D. Kamm. “A 3D Microvascular Network Model to Study the Impact of Hypoxia on the Extravasation Potential of Breast Cell Lines.” Scientific Reports 8, no. 1 (December 2018). doi:10.1038/s41598-018-36381-5.
Version
Final published version
Abstract
© 2018, The Author(s). Hypoxia is a common feature of the tumor microenvironment. Accumulating evidence has demonstrated hypoxia to be an important trigger of tumor cell invasion or metastasizes via hypoxia-signaling cascades, including hypoxia-inducible factors (HIFs). Microfluidic model can be a reliable in vitro tool for systematically interrogating individual factors and their accompanying downstream effects, which may otherwise be difficult to study in complex tumor tissues. Here, we used an in vitro model of microvascular networks in a microfluidic chip to measure the extravasation potential of breast cell lines subjected to different oxygen conditions. Through the use of HIF-1α knock-down cell lines, we also validated the importance of HIF-1α in the transmigration ability of human breast cell lines. Three human breast cell lines derived from human breast tissues (MCF10A, MCF-7 and MDA-MB-231) were used in this study to evaluate the role of hypoxia in promoting metastasis at different stages of cancer progression. Under hypoxic conditions, HIF-1α protein level was increased, and coincided with changes in cell morphology, viability and an elevated metastatic potential. These changes were accompanied by an increase in the rate of extravasation compared to normoxia (21% O2). siRNA knockdown of HIF-1α in hypoxic tumors significantly decreased the extravasation rates of all the cell lines tested and may have an effect on the function of metastatic and apoptotic-related cellular processes.
MIT Department
Singapore-MIT Alliance in Research and Technology (SMART)
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/s41598-018-36381-5
