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  3. Development and clinical testing of individual immunoassays for the quantification of serum glycoproteins to diagnose prostate cancer.
 

Development and clinical testing of individual immunoassays for the quantification of serum glycoproteins to diagnose prostate cancer.

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BORIS DOI
10.7892/boris.111230
Date of Publication
2017
Publication Type
Article
Division/Institute

Universitätsklinik fü...

Author
Endt, Kathrin
Goepfert, Jens
Omlin, Aurelius Gabriel
Universitätsklinik für Medizinische Onkologie
Athanasiou, Alcibiade
Tennstedt, Pierre
Guenther, Anna
Rainisio, Maurizio
Engeler, Daniel S
Steuber, Thomas
Gillessen, Silke
Joos, Thomas
Schiess, Ralph
Subject(s)

600 - Technology::610...

Series
PLoS ONE
ISSN or ISBN (if monograph)
1932-6203
Publisher
Public Library of Science
Language
English
Publisher DOI
10.1371/journal.pone.0181557
PubMed ID
28767721
Description
Prostate Cancer (PCa) diagnosis is currently hampered by the high false-positive rate of PSA evaluations, which consequently may lead to overtreatment. Non-invasive methods with increased specificity and sensitivity are needed to improve diagnosis of significant PCa. We developed and technically validated four individual immunoassays for cathepsin D (CTSD), intercellular adhesion molecule 1 (ICAM1), olfactomedin 4 (OLFM4), and thrombospondin 1 (THBS1). These glycoproteins, previously identified by mass spectrometry using a Pten mouse model, were measured in clinical serum samples for testing the capability of discriminating PCa positive and negative samples. The development yielded 4 individual immunoassays with inter and intra-variability (CV) <15% and linearity on dilution of the analytes. In serum, ex vivo protein stability (<15% loss of analyte) was achieved for a duration of at least 24 hours at room temperature and 2 days at 4°C. The measurement of 359 serum samples from PCa positive (n = 167) and negative (n = 192) patients with elevated PSA (2-10 ng/ml) revealed a significantly improved accuracy (P <0.001) when two of the glycoproteins (CTSD and THBS1) were combined with %fPSA and age (AUC = 0.8109; P <0.0001; 95% CI = 0.7673-0.8545). Conclusively, the use of CTSD and THBS1 together with commonly used parameters for PCa diagnosis such as %fPSA and age has the potential to improve the diagnosis of PCa.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/158334
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