Skip to search boxSkip to navigationSkip to main content

Proteomic approaches to biomarker discovery in prostate and bladder cancers

  • ,
  • Antonia Vlahou
    ,
  • Oliver John Semmes
    ,
  • George L. Wright
  • Eastern Virginia Medical School
Scholary Output:
Contribution to journal
Review article
Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Proteomic technologies, including high resolution two-dimensional electrophoresis (2-DE), antibody/protein arrays, and advances in mass spectrometry (MS), are providing the tools needed to discover and identify disease associated biomarkers. Although application of these technologies to search for potential diagnostic/prognostic biomarkers asscociated with prostate and bladder cancer have been somewhat limited to date, proteins either overexpressed or underexpressed have been detected in both these urological cancers. Recent advances in mass spectrometry, especially platforms that permit rapid "fingerprint" profiling of multiple biomarkers, and tandem mass spectrometers for protein identification, will most assuredly enhance the discovery, identification, and characterization of potential cancer associated biomarkers. 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 the elucidation of the differential expression profiles between disease, benign and normal prostate and bladder cell populations. Finally, development and application of learning algorithms and bioinformatics to the data generated by these proteomic technologies will be essential in determining the clinical potential of a protein biomarker. The purpose of this review is to provide the reader with an overview of the application of these technologies in the search and identification of potential diagnostic/prognostic biomarkers for prostate and bladder cancers.

Publication Information

Output type

Scholary Output:
Contribution to journal
Review article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 1264-1270 (7 pages)

Journal (Volume, Issue Number)

Proteomics (Volume 1, Issue 10)

Publication milestones

  • Published - 09/2001

Publication status

Published - 09/2001

ISSN

1615-9853

Publication IDs

  • Scopus: 0035491167
  • PubMed: 11721637

Publication metrics

Metrics

SciVal
FWCI
2.09
SciVal
Author count
4
SciVal
Paper percentile
96
SciVal
Top percentile
5
SciVal
citations
150
Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1
Scopus
citations

PlumX, opens in new tab

Captures
35
Citation count
162