Bioinformatic strategies for unambiguous identification of prostate specific antigen in clinical samples

Summary, in English

Prostate specific antigen (PSA), as a widely used clinical biomarker in prostate cancer

diagnostics, exists in multiple molecular forms. However, all of these forms might not be recognized in

a given sample by the standard immunoassays. Therefore, we have investigated PSA isoforms

separated by size using mass spectrometric analyses. The objective of these developments was to

identify and specify the various forms of PSA. To optimize successful identification of different PSA

forms, we have developed a bioinformatic strategy, consisting of high resolution MALDI-MS PMF and

sequencing MS/MS data searches. To improve sequence-based identification, the recently introduced

Proteios software environment was employed, allowing the combination of multiple database search

engines in an automated manner.

We could unambiguously identify PSA in clinical samples by all detectable tryptic peptides, which were

found to be common in several isoforms.

• Author: Ákos Végvári; Melinda Rezeli; Jari Häkkinen; Carina Sihlbom; Elisabet Carlsohn; Johan Malm; Hans Lilja; Thomas Laurell; György Marko-Varga
• Department/s: Department of Biomedical Engineering; Breastcancer-genetics; Clinical Chemistry, Malmö; EpiHealth: Epidemiology for Health; MultiPark: Multidisciplinary research focused on Parkinson´s disease
• Publishing year: 2011
• Language: English
• Pages: 202-210
• Publication/Series: Journal of Proteomics
• Volume: 75
• Issue: 1
• Full text: - 1 MB; Download statistics
• Links: http://dx.doi.org/10.1016/j.jprot.2011.06.008
• Document type: Journal article
• Publisher: Elsevier
• Topic: Cancer and Oncology; Medicinal Chemistry
• Keywords: prostate specific antigen; isoforms; MALDI LTQ Orbitrap XL; ESI-LTQ FT-ICR; Proteios software environment; kallikrein-2
• Status: Published
• Research group: Clinical Chemistry, Malmö
• ISBN/ISSN/Other: ISSN: 1874-3919