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Proceedings Paper

Redox subpopulations and the risk of cancer progression: a new method for characterizing redox heterogeneity
Author(s): He N. Xu; Lin Z. Li
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Paper Abstract

It has been shown that a malignant tumor is akin to a complex organ comprising of various cell populations including tumor cells that are genetically, metabolically and functionally different. Our redox imaging data have demonstrated intra-tumor redox heterogeneity in all mouse xenografts derived from human melanomas, breast, prostate, and colon cancers. Based on the signals of NADH and oxidized flavoproteins (Fp, including flavin adenine dinucleotide (FAD)) and their ratio, i.e., the redox ratio, which is an indicator of mitochondrial metabolic status, we have discovered several distinct redox subpopulations in xenografts of breast tumors potentially recapitulating functional/metabolic heterogeneity within the tumor. Furthermore, xenografts of breast tumors with higher metastatic potential tend to have a redox subpopulation whose redox ratio is significantly different from that of tumors with lower metastatic potential and usually have a bi-modal distribution of the redox ratio. The redox subpopulations from human breast cancer samples can also be very complex with multiple subpopulations as determined by fitting the redox ratio histograms with multi- Gaussian functions. In this report, we present a new method for identifying the redox subpopulations within individual breast tumor xenografts and human breast tissues, which may be used to differentiate between breast cancer and normal tissue and among breast cancer with different risks of progression.

Paper Details

Date Published: 29 February 2016
PDF: 7 pages
Proc. SPIE 9689, Photonic Therapeutics and Diagnostics XII, 96893Z (29 February 2016); doi: 10.1117/12.2208267
Show Author Affiliations
He N. Xu, The Univ. of Pennsylvania Health System (United States)
Lin Z. Li, The Univ. of Pennsylvania Health System (United States)


Published in SPIE Proceedings Vol. 9689:
Photonic Therapeutics and Diagnostics XII
Hyun Wook Kang; Guillermo J. Tearney; Melissa C. Skala; Bernard Choi; Andreas Mandelis; Brian J. F. Wong; Justus F. Ilgner; Nikiforos Kollias; Paul J. Campagnola; Kenton W. Gregory; Laura Marcu; Haishan Zeng, Editor(s)

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