Quantitative Fluorescence Imaging Analysis for Cancer Biomarker Discovery: Application to β-Catenin in Archived Prostate Specimens
The surprising disparity between the number of protein-encoding genes (∼30,000) in the human genome and the number of proteins (∼300,000) in the human proteome has inspired the development of translational proteomics aimed at protein expression profiling of disease states. Translational proteomics,...
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Published in | Cancer epidemiology, biomarkers & prevention Vol. 16; no. 7; pp. 1371 - 1381 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Philadelphia, PA
American Association for Cancer Research
01.07.2007
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Subjects | |
Online Access | Get full text |
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Summary: | The surprising disparity between the number of protein-encoding genes (∼30,000) in the human genome and the number of proteins
(∼300,000) in the human proteome has inspired the development of translational proteomics aimed at protein expression profiling
of disease states. Translational proteomics, which offers the promise of early disease detection and individualized therapy,
requires new methods for the analysis of clinical specimens. We have developed quantitative flourescence imaging analysis
(QFIA) for accurate, reproducible quantification of proteins in slide-mounted tissues. The method has been validated for the
analysis of β-catenin in archived prostate specimens fixed in formalin. QFIA takes advantage of the linearity of fluorescence
antibody signaling for tissue epitope content, a feature validated for β-catenin in methacarn-fixed prostate specimens analyzed
by reverse-phase protein array analysis and QFIA ( r = 0.97). QFIA of β-catenin in formaldehyde-fixed tissues correlated directly with β-catenin content ( r = 0.86). Application of QFIA in a cross-sectional study of biopsies from 42 prostate cancer (PC) cases and 42 matched controls
identified β-catenin as a potential field marker for PC. Receiver operating characteristic plots revealed that β-catenin expression
in the normal-appearing acini of cancerous glands identified 42% (95% confidence intervals, 26-57%) of cancer cases, with
88% (95% confidence intervals, 80-96%) specificity. The marker may contribute to a PC biomarker panel. In conclusion, we report
the development and validation of a new method for fluorescence quantification of proteins in archived tissues and its application
to archived specimens for an evaluation of β-catenin expression as a biomarker for PC. (Cancer Epidemiol Biomarkers Prev 2007;16(7):1371–81) |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1055-9965 1538-7755 |
DOI: | 10.1158/1055-9965.EPI-06-0718 |