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Journal of Biomedical Optics • Open Access

Preferential accumulation of 5-aminolevulinic acid-induced protoporphyrin IX in breast cancer: a comprehensive study on six breast cell lines with varying phenotypes
Author(s): Stacy R. Millon; Julie H. Ostrander; Siavash Yazdanfar; J. Quincy Brown; Janelle Elise Bender; Anita Rajeha; Nirmala Ramanujam

Paper Abstract

We describe the potential of 5-aminolevulinic acid (ALA)-induced protoporphyrin IX (PpIX) fluorescence as a source of contrast for margin detection in commonly diagnosed breast cancer subtypes. Fluorescence intensity of PpIX in untreated and ALA-treated normal mammary epithelial and breast cancer cell lines of varying estrogen receptor expression were quantitatively imaged with confocal microscopy. Percentage change in fluorescence intensity integrated over 610-700 nm (attributed to PpIX) of posttreated compared to pretreated cells showed statistically significant differences between four breast cancer and two normal mammary epithelial cell lines. However, a direct comparison of post-treatment PpIX fluorescence intensities showed no differences between breast cancer and normal mammary epithelial cell lines due to confounding effects by endogenous fluorescence from flavin adenine dinucleotide (FAD). Clinically, it is impractical to obtain pre- and post-treatment images. Thus, spectral imaging was demonstrated as a means to remove the effects of endogenous FAD fluorescence allowing for discrimination between post-treatment PpIX fluorescence of four breast cancer and two normal mammary epithelial cell lines. Fluorescence spectral imaging of ALA-treated breast cancer cells showed preferential PpIX accumulation regardless of malignant phenotype and suggests a useful contrast mechanism for discrimination of residual cancer at the surface of breast tumor margins.

Paper Details

Date Published: 1 January 2010
PDF: 8 pages
J. Biomed. Opt. 15(1) 018002 doi: 10.1117/1.3302811
Published in: Journal of Biomedical Optics Volume 15, Issue 1
Show Author Affiliations
Stacy R. Millon, Duke Univ. (United States)
Julie H. Ostrander, Duke Univ. (United States)
Siavash Yazdanfar, GE Global Research (United States)
J. Quincy Brown, Duke Univ. (United States)
Janelle Elise Bender, Duke Univ. (United States)
Anita Rajeha, Duke Univ. (United States)
Nirmala Ramanujam, Duke Univ. (United States)


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