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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 6 — Feb. 20, 2013
  • pp: 1293–1301

Native fluorescence spectra of human cancerous and normal breast tissues analyzed with non-negative constraint methods

Yang Pu, Wubao Wang, Yuanlong Yang, and Robert R. Alfano  »View Author Affiliations

Applied Optics, Vol. 52, Issue 6, pp. 1293-1301 (2013)

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The native fluorescence spectra of human cancerous and normal breast tissues were investigated using the selected excitation wavelength of 340 nm to excite key building block molecules, such as reduced nicotinamide adenine dinucleotide (NADH), collagen, and flavin. The measured emission spectra were analyzed using a non-negative constraint method, namely multivariate curve resolution with alternating least-squares (MCR-ALS). The results indicate that the biochemical changes of tissue can be exposed by native fluorescence spectra analysis. The MCR-ALS-extracted components corresponding to the key fluorophores in breast tissue, such as collagen, NADH, and flavin, show differences of relative contents of fluorophores in cancerous and normal breast tissues. This research demonstrates that the native fluorescence spectroscopy measurements are effective for detecting changes of fluorophores composition in tissues due to the development of cancer. Native fluorescence spectroscopy analyzed by MCR-ALS may have the potential to be a new armamentarium.

© 2013 Optical Society of America

OCIS Codes
(170.0170) Medical optics and biotechnology : Medical optics and biotechnology
(170.6510) Medical optics and biotechnology : Spectroscopy, tissue diagnostics
(300.0300) Spectroscopy : Spectroscopy
(300.6170) Spectroscopy : Spectra

ToC Category:

Original Manuscript: October 22, 2012
Revised Manuscript: November 28, 2012
Manuscript Accepted: December 21, 2012
Published: February 18, 2013

Virtual Issues
Vol. 8, Iss. 3 Virtual Journal for Biomedical Optics

Yang Pu, Wubao Wang, Yuanlong Yang, and Robert R. Alfano, "Native fluorescence spectra of human cancerous and normal breast tissues analyzed with non-negative constraint methods," Appl. Opt. 52, 1293-1301 (2013)

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  1. American Cancer Society, “Cancer facts & figures 2012,” Atlanta: American Cancer Society (2012).
  2. R. W. Scarff and H. Torloni, “Histological typing of breast tumors,” in International Histological Classification of Tumours (World Health Organization, 1968).
  3. H. J. G. Bloom and W. W. Richardson, “Histological grading and prognosis in breast cancer; a study of 1409 cases of which 359 have been followed for 15 years,” Br. J. Cancer 11, 359–377 (1957). [CrossRef]
  4. C. W. Elston, “The assessment of histological differentiation in breast cancer,” Aust. N. Z. J. Surg. 54, 11–15 (1984). [CrossRef]
  5. C. W. Elston and I. O. Ellis, “Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up,” Histopathology 19, 403–410 (1991). [CrossRef]
  6. I. Balslev, C. K. Axelsson, K. Zedeler, B. B. Rasmussen, B. Carstensen, and H. T. Mouridsen, “The Nottingham Prognostic Index applied to 9,149 patients from the studies of the Danish Breast Cancer Cooperative Group (DBCG),” Breast Cancer Res. Treat. 32, 281–290 (1994). [CrossRef]
  7. J. F. Simpson, R. Gray, L. G. Dressler, C. D. Cobau, C. I. Falkson, K. W. Gilchrist, K. J. Pandya, D. L. Page, and N. J. Robert, “Prognostic value of histologic grade and proliferative activity in axillary node-positive breast cancer: results from the eastern cooperative oncology group companion study, EST 4189,” J. Clin. Oncol. 18, 2059–2069 (2000).
  8. R. R. Alfano, D. Tata, J. Cordero, P. Tomashefsky, F. Longo, and M. Alfano, “Laser induced fluorescence spectroscopy from native cancerous and normal tissue,” IEEE J. Quantum Electron. 20, 1507–1511 (1984). [CrossRef]
  9. R. R. Alfano, G. C. Tang, A. Pradhan, W. Lam, D. S. J. Choy, and E. Opher, “Fluorescence spectra from cancerous and normal human breast and lung tissues,” IEEE J. Quantum Electron. QE-23, 1806 –1811 (1987). [CrossRef]
  10. Y. Pu, W. B. Wang, Y. Yang, and R. R. Alfano, “Stokes shift spectroscopy highlights differences of cancerous and normal human tissues,” Opt. Lett. 37, 3360–3362(2012). [CrossRef]
  11. A. S. Haka, K. E. Shafer-Peltier, M. Fitzmaurice, J. Crowe, R. R. Dasari, and M. S. Feld, “Diagnosing breast cancer by using Raman spectroscopy,” Proc. Natl. Acad. Sci. USA 102, 12371–12376 (2005). [CrossRef]
  12. Y. Pu, W. Wang, G. Tang, and R. R. Alfano, “Changes of collagen and nicotinamide adenine dinucleotide in human cancerous and normal breast tissues studied using fluorescence spectroscopy with selective excitation wavelength,” J. Biomed. Opt. 15, 047008 (2010). [CrossRef]
  13. Y. Pu, W. B. Wang, B. B. Das, and R. R. Alfano, “Time-resolved spectral wing emission kinetics and optical imaging of human cancerous and normal prostate tissues,” Opt. Commun. 282, 4308–4314 (2009). [CrossRef]
  14. R. Tauler, M. Maeder, and A. de Juan, “Multi-set data analysis: extended multivariate curve resolution,” Comprehensive Chemometrics (Elsevier, 2009), pp. 473–506.
  15. A. Besaratinia, S. Kim, and G. P. Pfeifer, “Rapid repair of UVA-induced oxidized purines and persistence of UVB-induced dipyrimidine lesions determine the mutagenicity of sunlight in mouse cells,” FASEB J. 22, 2379–2392 (2008). [CrossRef]
  16. Y. Sun, Y. Pu, Y. Yang, and R. R. Alfano, “Biomarkers spectral subspace for cancer detection,” J. Biomed. Opt. 17, 107005 (2012). [CrossRef]
  17. D. L. Heintzelman, R. Lotan, and R. R. Richards-Kortum, “Characterization of the autofluorescence of polymorphonuclear leukocytes, mononuclear leukocytes and cervical epithelial cancer cells for improved spectroscopic discrimination of inflammation from dysplasia,” Photochem. Photobiol. 71, 327–332 (2000). [CrossRef]
  18. B. Chance, J. R. Williamson, D. Famieson, and B. Schoener, “Properties and kinetics of reduced pyridine nucleotide fluorescence of the isolated and in vivo rat heart,” Biochem. Z. 341, 357–377 (1965).
  19. D. K. Bird, L. Yan, K. M. Vrotsos, K. W. Eliceiri, E. M. Vaughan, P. J. Keely, J. G. White, and N. Ramanujam, “Metabolic mapping of MCF10A human breast cells via multiphoton fluorescence lifetime imaging of the coenzyme NADH,” Cancer Res. 65, 8766–8773 (2005). [CrossRef]
  20. Y. Pu, G. C. Tang, W. B. Wang, H. E. Savage, S. P. Schantz, and R. R. Alfano, “Native fluorescence spectroscopic evaluation of chemotherapeutic effects on malignant cells using nonnegative matrix factorization analysis,” Technol. Cancer Res. Treat. 10, 113–120 (2011).
  21. G. Fenhalls, D. M. Dent, and M. I. Parker, “Breast tumour cell-induced down-regulation of type I collagen mRNA in fibroblasts,” Br. J. Cancer 81, 1142–1149 (1999). [CrossRef]
  22. Y. Pu, W. B. Wang, Y. Yang, and R. R. Alfano, “Stokes shift spectroscopic analysis of multi-fluorophores for human cancer detection in breast and prostate tissues,” J. Biomed. Opt. 18, 017005 (2013). [CrossRef]
  23. F. Urbach, “Potential effects of altered solar ultraviolet radiation on human skin cancer,” Photochem. Photobiol. 50, 507–513 (1989). [CrossRef]

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