Cancer diagnosis using proteomic patterns

Thomas P. Conrads, Ming Zhou, Emmanuel F. Petricoin, Lance Liotta, Timothy D. Veenstra*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

137 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 upon 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 cancer. Proteomic pattern analysis relies on the pattern of proteins observed and does not rely on the identification of a traceable biomarker. Hundreds of clinical samples per day can be analyzed utilizing this technology, which has the potential to be a novel, highly sensitive diagnostic tool for the early detection of cancer.

Original languageEnglish
Pages (from-to)411-420
Number of pages10
JournalExpert Review of Molecular Diagnostics
Volume3
Issue number4
DOIs
StatePublished - Jul 2003
Externally publishedYes

Keywords

  • Bioinformatics
  • Biomarkers
  • Cancer
  • Early diagnosis
  • Mass spectromytry
  • Proteomic patterns

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