Proteomic technologies, including high resolution two-dimensional electroph
oresis (2-DE), antibody/protein arrays, and advances in mass spectrometry (
MS), are providing the tools needed to discover and identify disease associ
ated biomarkers. Although application of these technologies to search for p
otential diagnostic/prognostic biomarkers asscociated with prostate and bla
dder cancer have been somewhat limited to date, proteins either overexpress
ed or underexpressed have been detected in both these urological cancers. R
ecent advances in mass spectrometry, especially platforms that permit rapid
"fingerprint" profiling of multiple biomarkers, and tandem mass spectromet
ers for protein identification, will most assuredly enhance the discovery,
identification, and characterization of potential cancer associated biomark
ers. Furthermore, application of laser capture microdissection microscopes
has provided a rapid and reproducible approach to procure pure populations
of cells. This technology coupled to 2-DE and MS has significantly aided th
e elucidation of the differential expression profiles between disease, beni
gn and normal prostate and bladder cell populations. Finally, development a
nd application of learning algorithms and bioinformatics to the data genera
ted by these proteomic technologies will be essential in determining the cl
inical potential of a protein biomarker. The purpose of this review is to p
rovide the reader with an overview of the application of these technologies
in the search and identification of potential diagnostic/prognostic biomar
kers for prostate and bladder cancers.