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

  • William E. Grizzle*
  • , Bao Ling Adam
  • , William L. Bigbee
  • , Thomas P. Conrads
  • , Christopher Carroll
  • , Ziding Feng
  • , Elzbieta Izbicka
  • , Moncef Jendoubi
  • , Donald Johnsey
  • , Jacob Kagan
  • , Robin J. Leach
  • , Diane B. McCarthy
  • , O. John Semmes
  • , Shiv Srivastava
  • , Sudhir Srivastava
  • , Ian M. Thompson
  • , Mark D. Thornquist
  • , Mukesh Verma
  • , Zhen Zhang
  • , Zhiqiang Zou
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

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.

Original languageEnglish
Pages (from-to)185-195
Number of pages11
JournalDisease Markers
Volume19
Issue number4-5
DOIs
StatePublished - 2003
Externally publishedYes

Keywords

  • Prostate adenocarcinoma
  • SELDI-TOF-MS
  • Validation

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