Abstract | BACKGROUND: Serum prostate-specific antigen (PSA) is a standard method and a widely used marker for prostate cancer, but it has a poor specificity for early detection. Herein we demonstrate that intracellular macrophage PSA (imPSA) enables screening and differentiation between benign and malignant prostate disease. MATERIALS AND METHODS: The efficacy of intracellular macrophage PSA in circulating and tissue macrophages was therefore investigated in a double-centre study of 38 prostate cancer patients and 36 healthy controls by fluorescent-activated cell sorting analysis and immunohistology. RESULTS: Both methods uncovered the existence of PSA-positive macrophages specific for patients with prostate cancer. In addition, we demonstrate the superiority of our new test over standard serum total PSA in a blinded double-centre trial. ImPSA had a marked higher sensitivity and specificity than serum total PSA (imPSA: sensitivity 92%, specificity 92%, positive predictive value 92%; serum total PSA: sensitivity 79.5%, specificity 87.5%, positive predictive value 26.8%). CONCLUSION: In this study, we demonstrate that imPSA is a new prostate cancer screening method that is highly sensitive and more specific than standard PSA testing.
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Authors | R Herwig, D Mitteregger, B Djavan, G Kramer, M Margreiter, M P Leers, B Glodny, D G Haider, W H Hörl, M Marberger |
Journal | European journal of clinical investigation
(Eur J Clin Invest)
Vol. 38
Issue 6
Pg. 430-7
(Jun 2008)
ISSN: 1365-2362 [Electronic] England |
PMID | 18489403
(Publication Type: Comparative Study, Journal Article, Multicenter Study)
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Chemical References |
- Biomarkers, Tumor
- Prostate-Specific Antigen
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Topics |
- Adult
- Area Under Curve
- Biomarkers, Tumor
(analysis)
- Case-Control Studies
- Cytoplasmic Vesicles
(chemistry)
- Flow Cytometry
- Humans
- Immunohistochemistry
- Macrophages
(chemistry)
- Male
- Mass Screening
(methods)
- Middle Aged
- Prostate-Specific Antigen
(analysis)
- Prostatic Hyperplasia
(metabolism)
- Prostatic Neoplasms
(chemistry)
- Sensitivity and Specificity
- Statistics, Nonparametric
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