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Quantitation of serum prostate-specific membrane antigen by a novel protein biochip immunoassay discriminates benign from malignant prostate disease

  • Zhen Xiao
    ,
  • ,
  • Lisa H. Cazares
    ,
  • Mary A. Clements
    ,
  • John W. Davis
    ,
  • Paul F. Schellhammer
  • Eastern Virginia Medical School
    ,
  • Vermillion Inc.
Scholary Output:
Contribution to journal
Article
Peer-review

Sustainable Development Goals

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

Abstract

The lack of a sensitive immunoassay for quantitating serum prostate-specific membrane antigen (PSMA) hinders its clinical utility as a diagnostic/prognostic biomarker. An innovative protein biochip immunoassay was used to quantitate and compare serum PSMA levels in healthy men and patients with either benign or malignant prostate disease. PSMA was captured from serum by anti-PSMA antibody bound to ProteinChip arrays, the captured PSMA detected by surface-enhanced laser desorption/ionization mass spectrometry, and quantitated by comparing the mass signal integrals to a standard curve established using purified recombinant PSMA. The average serum PSMA value for prostate cancer (623.1 ng/ml) was significantly different (P < 0.001) from that for benign prostate hyperplasia (117.1 ng/ml) and the normal groups (age <50, 272.9 ng/ml; age >50, 359.4 ng/ml). These initial results suggest that serum PSMA may be a more effective biomarker than prostate-specific antigen for differentiating benign from malignant prostate disease and warrants additional evaluation of the surface-enhanced laser desorption/ionization PSMA immunoassay to determine its diagnostic utility.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 6029-6033 (5 pages)

Journal (Volume, Issue Number)

Cancer Research (Volume 61, Issue 16)

Publication milestones

  • Published - 08/15/2001

Publication status

Published - 08/15/2001

ISSN

0008-5472

Publication IDs

  • Scopus: 0035881634
  • PubMed: 11507047

Publication metrics

Metrics

SciVal
citations
152
Fractional count
1
Fractional count
0.13
Fractional count
7
Fractional count
0.88
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
FWCI
4.25
SciVal
Author count
8
SciVal
Paper percentile
96
SciVal
Top percentile
5

PlumX

Captures
57
Citation count
164