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Serum protein expression profiling for cancer detection: Validation of a SELDI-based approach for prostate cancer

  • William E. Grizzle(corresponding author)
    ,
  • ,
  • William L. Bigbee
    ,
  • Thomas P. Conrads
    ,
  • Christopher Carroll
    ,
  • Ziding Feng
*Corresponding author for this work
  • University of Alabama at Birmingham
    ,
  • Eastern Virginia Medical School
    ,
  • University of Pittsburgh
    ,
  • SAIC
    ,
  • University of Texas Health Science Center at San Antonio
    ,
  • Fred Hutchinson Cancer Research Center
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

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

Abstract

Multiple studies have reported that analysis of serum and other bodily fluids using surface enhanced laser desorption/ionization time of flight mass spectroscopy (SELDI-TOF-MS) can identify a "fingerprint" or "signature" of spectral peaks that can separate patients with a specific disease from normal control patients. Ultimately, classification by SELDI-TOF-MS relies on spectral differences in position and amplitude of resolved peaks. Since the reproducibility of quantitation, resolution and mass accuracy of the SELDI-TOF-MS, or any high throughput mass spectrometric technique, has never been determined this method has come under some skepticism as to its clinical usefulness. This manuscript describes a detailed design of a three-phase study to validate the clinical usefulness of SELDI-TOF-MS in the identification of patients with prostatic adenocarcinoma (PCA). At the end of this validation study, the usefulness of the general SELDI-TOF-MS approach to identifying patients with PCA will be demonstrated and how it compares with PCA diagnosis by measuring prostate specific antigen.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 185-195 (11 pages)

Journal (Volume, Issue Number)

Disease Markers (Volume 19, Issue 4-5)

Publication milestones

  • Published - 2003

Publication status

Published - 2003

ISSN

0278-0240

Publication IDs

  • Scopus: 3042715631
  • PubMed: 15258333

Publication metrics

Metrics

SciVal
FWCI
2.96
SciVal
Author count
20
SciVal
Paper percentile
87
SciVal
citations
57
Scopus
citations
Fractional count
1
Fractional count
0.05
Fractional count
19
Fractional count
0.95
Fractional count
1
Fractional count
1

PlumX, opens in new tab

Citation count
57
Captures
26

Funding Details

FunderFunding number
NCI
P30CA054174