Influence of Fibroblasts on Metastatic Cancer Cell Drug Resistance in a 3D Microfluidic Cell Array

<p>Modeling an accurate depiction of the tumor microenvironment, (TME), is essential to observe the effect external factors might have on the tumor <em>in vivo.</em> In cancer therapy specifically, the outcomes of clinical treatments are heavily dependent on drug testing methods despite the cytotoxic effects these methods might have on the patient. Our lab has previously developed a three layered microfluidic cell array (3D μFCA) to reconstruct the relevantly spatial configuration of tumor and microvasculature found <em>in vivo</em> in order to develop a more efficient tool of high throughput drug discovery and screening. In this study, we optimized this device to include a vital component found in tumor stroma, fibroblasts, and conducted proliferation, metabolic and drug response studies to investigate the effects of fibroblast on drug responses. We found that healthy fibroblasts reduces triple negative breast cancer cell proliferation in the 2D coculture, but the cancer cell growth rate increases in the 3D static and device coculture. Additionally, preliminary quantitative image analysis showed that the coculture condition had lower apoptosis indicated by caspase-3 activity after Doxorubicin introduction compared to the control condition. With these findings, we can gain a better understanding into the effects of drugs on tumors <em>in vivo</em> through <em>in vitro </em>methods to provide a platform of accurate drug screening.</p>

Name thesis:degree_name

Master of Science (M.S.)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Biomedical Engineering

Year dc:date.available

2017

Author dc:creator

• Benoy, Elizabeth C

Contributors dc:contributor

• Sihong Wang

• fibroblasts
• microfluidic cell array
• cancer
• 3D
• Matrigel
• Biomedical Engineering and Bioengineering

Repository record dc:identifier

https://academicworks.cuny.edu/cc_etds_theses/670

OAI identifier oai:identifier

oai:academicworks.cuny.edu:cc_etds_theses-1671