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Proceedings Paper

Prostate cancer epithelial mesenchymal transition by TGF-β1 exposure monitored with a photonic crystal biosensor
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Paper Abstract

During prostate cancer progression, cancerous epithelial cells can undergo epithelial-mesenchymal transition (EMT). EMT is a crucial mechanism for the invasion and metastasis of epithelial tumors characterized by the loss of cell-cell adhesion and increased cell mobility. It is associated with biochemical changes such as epithelial cell markers Ecadherin and occludins being down-regulated, and mesenchymal markers vimentin and N-cadherin being upregulated. These changes in protein expression, specifically in the cell membrane, may be monitored via biophysical principles, such as changes in the refractive index (RI) of the cell membrane. In our previous research, we demonstrated the feasibility of using cellular RI as a unique contrast parameter to accomplish label-free detection of prostate cancer cells. In this paper, we report the use of our Photonic-Crystal biosensor in a Total-Internal-Reflection (PC-TIR) configuration to construct a label-free biosensing system, which allows for ultra-sensitive quantification of the changes in cellular RI due to EMT. We induced prostate cancer cells to undergo EMT by exposing these cells to soluble Transforming Growth Factor Beta 1 (TGF-β1). The biophysical characteristics of the cellular RI were quantified extensively in comparison to non-induced cancer cells. Our study shows promising clinical potential in utilizing the PC-TIR biosensing system not only to detect prostate cancer cells, but also to evaluate changes in prostate cancer cells due to EMT.

Paper Details

Date Published: 20 February 2020
PDF: 8 pages
Proc. SPIE 11251, Label-free Biomedical Imaging and Sensing (LBIS) 2020, 1125126 (20 February 2020); doi: 10.1117/12.2544113
Show Author Affiliations
Melissa Cadena, The Univ. of Texas at San Antonio (United States)
Frank DeLuna, The Univ. of Texas at San Antonio (United States)
Kwaku Baryeh, The Univ. of Texas at San Antonio (United States)
Lu-Zhe Sun, The Univ. of Texas Health Science Ctr. at San Antonio (United States)
Jing Yong Ye, The Univ. of Texas at San Antonio (United States)

Published in SPIE Proceedings Vol. 11251:
Label-free Biomedical Imaging and Sensing (LBIS) 2020
Natan T. Shaked; Oliver Hayden, Editor(s)

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