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PLoS One ; 8(6): e67514, 2013.
Article in English | MEDLINE | ID: mdl-23826311

ABSTRACT

BACKGROUND: Extensive prostate specific antigen screening for prostate cancer generates a high number of unnecessary biopsies and over-treatment due to insufficient differentiation between indolent and aggressive tumours. We hypothesized that seminal plasma is a robust source of novel prostate cancer (PCa) biomarkers with the potential to improve primary diagnosis of and to distinguish advanced from indolent disease. METHODOLOGY/PRINCIPAL FINDINGS: In an open-label case/control study 125 patients (70 PCa, 21 benign prostate hyperplasia, 25 chronic prostatitis, 9 healthy controls) were enrolled in 3 centres. Biomarker panels a) for PCa diagnosis (comparison of PCa patients versus benign controls) and b) for advanced disease (comparison of patients with post surgery Gleason score <7 versus Gleason score >7) were sought. Independent cohorts were used for proteomic biomarker discovery and testing the performance of the identified biomarker profiles. Seminal plasma was profiled using capillary electrophoresis mass spectrometry. Pre-analytical stability and analytical precision of the proteome analysis were determined. Support vector machine learning was used for classification. Stepwise application of two biomarker signatures with 21 and 5 biomarkers provided 83% sensitivity and 67% specificity for PCa detection in a test set of samples. A panel of 11 biomarkers for advanced disease discriminated between patients with Gleason score 7 and organ-confined (

Subject(s)
Biomarkers, Tumor/metabolism , Peptides/metabolism , Prostatic Neoplasms/metabolism , Prostatic Neoplasms/pathology , Semen/metabolism , Adult , Amino Acid Sequence , Biomarkers, Tumor/chemistry , Humans , Male , Middle Aged , Molecular Sequence Data , Neoplasm Staging , Peptides/chemistry , Proteome/metabolism , Proteomics , Reproducibility of Results , Treatment Outcome
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