Paper
29 February 2016 Redox subpopulations and the risk of cancer progression: a new method for characterizing redox heterogeneity
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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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
He N. Xu and Lin Z. Li "Redox subpopulations and the risk of cancer progression: a new method for characterizing redox heterogeneity", Proc. SPIE 9689, Photonic Therapeutics and Diagnostics XII, 96893Z (29 February 2016); https://doi.org/10.1117/12.2208267
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Cited by 1 scholarly publication.
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KEYWORDS
Tumors

Tissues

Breast

Cancer

Breast cancer

Field emission displays

Biopsy

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