Open Access
29 November 2016 Optical redox imaging indices discriminate human breast cancer from normal tissues
He N. Xu, Julia Tchou, Min Feng, Huaqing Zhao, Lin Z. Li
Author Affiliations +
Abstract
Our long-term goal was to investigate the potential of incorporating redox imaging technique as a breast cancer (BC) diagnosis component to increase the positive predictive value of suspicious imaging finding and to reduce unnecessary biopsies and overdiagnosis. We previously found that precancer and cancer tissues in animal models displayed abnormal mitochondrial redox state. We also revealed abnormal mitochondrial redox state in cancerous specimens from three BC patients. Here, we extend our study to include biopsies of 16 patients. Tissue aliquots were collected from both apparently normal and cancerous tissues from the affected cancer-bearing breasts shortly after surgical resection. All specimens were snap-frozen and scanned with the Chance redox scanner, i.e., the three-dimensional cryogenic NADH/Fp (reduced nicotinamide adenine dinucleotide/oxidized flavoproteins) fluorescence imager. We found both Fp and NADH in the cancerous tissues roughly tripled that in the normal tissues (p<0.05). The redox ratio Fp/(NADH + Fp) was 27% higher in the cancerous tissues (p<0.05). Additionally, Fp, or NADH, or the redox ratio alone could predict cancer with reasonable sensitivity and specificity. Our findings suggest that the optical redox imaging technique can provide parameters independent of clinical factors for discriminating cancer from noncancer breast tissues in human patients.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2016/$25.00 © 2016 SPIE
He N. Xu, Julia Tchou, Min Feng, Huaqing Zhao, and Lin Z. Li "Optical redox imaging indices discriminate human breast cancer from normal tissues," Journal of Biomedical Optics 21(11), 114003 (29 November 2016). https://doi.org/10.1117/1.JBO.21.11.114003
Published: 29 November 2016
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Cited by 22 scholarly publications.
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KEYWORDS
Tissues

Tumors

Biopsy

Cancer

Breast

Tissue optics

Breast cancer

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