Proteomic patterns for early cancer detection

Timothy D. Veenstra*, Da Rue A. Prieto, Thomas P. Conrads

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

56 Scopus citations

Abstract

The advent of proteomics has brought with it the hope of discovering novel biomarkers that can be used to diagnose diseases, predict susceptibility, and monitor progression. Much of this effort has focused on the mass spectral identification of the thousands of proteins that populate complex biosystems such as serum and tissues. A revolutionary approach in proteomic pattern analysis has emerged as an effective method for the early diagnosis of diseases such as ovarian, breast, and prostate cancer. This technology is capable of analyzing hundreds of clinical samples per day and has the potential to be a novel, highly sensitive diagnostic tool for the early detection of diseases, or as a predictor of response to therapy.

Original languageEnglish
Pages (from-to)889-897
Number of pages9
JournalDrug Discovery Today
Volume9
Issue number20
DOIs
StatePublished - 15 Oct 2004
Externally publishedYes

Keywords

  • Drug Discovery
  • OvaCheck
  • SELDI-TOF/MS
  • biomarkers
  • diagnostic medicine
  • proteomic patterns

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