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Updated: May 8, 2026
Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
[Proteome-based diagnostic and prognostic biomarkers of prostate cancer]
J Neuhaus1, E Schiffer, J Siwy
1Department für Operative Medizin, Klinik und Poliklinik für Urologie, Universitätsklinikum Leipzig AöR, Liebigstraße 20, 04103, Leipzig, Deutschland, jochen.neuhaus@medizin.uni-leipzig.de.
Background:
Due to comprehensive PSA screening, the incidence for prostate cancer (PCa) is rising. Therefore, there is an urgent need for improved PCa diagnostics and prognostic tools to differentiate between insignificant and aggressive, fast growing tumors.
Methods:
With the proteome-based method presented here, we were able to distinguish PCa from BPH, chronic prostatitis and healthy controls with 83 % sensitivity and 67 % specificity. Furthermore, the methods discerned advanced PCa from local, organ-confined PCa in a group of patients with gleason score 7 (80 % sensitivity, 82 % specificity).
Results:
Our proteomic approach is based on the analysis of low molecular weight polypeptides, identified as the endpoint of the naturally occuring liquefaction cascade in seminal plasma. For the first time using seminal plasma as a source, we analysed a complex network of interacting proteases and specific inhibitors, reflecting tumor biology specificity. Our diagnostic and prognostic tool is robust and easy to handle, and therefore it is well suitable for the laboratory and medical practice.
