Skip to main navigation Skip to search Skip to main content

Serum proteomics in cancer diagnosis and management

  • Kevin P. Rosenblatt*
  • , Peter Bryant-Greenwood
  • , J. Keith Killian
  • , Arpita Mehta
  • , David Geho
  • , Virginia Espina
  • , Emanuel F. Petricoin
  • , Lance A. Liotta
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

140 Scopus citations

Abstract

Mass spectrometry-based diagnostics has the potential to revolutionize molecular medicine. Using modern mass-spectrometer technologies, clinical tests can be developed that are practical, robust, accurate, and inexpensive. Serum proteomic pattern profiling couples mass spectrometry with adaptive artificial-intelligence-based bioinformatics, which can now be employed to detect pathological states reflected in the serum proteome. With this approach, rapid and cost-effective tests with exquisite clinical sensitivity and specificity are emerging. These tools may dramatically change how disease is detected, monitored, and managed.

Original languageEnglish
Pages (from-to)97-112
Number of pages16
JournalAnnual Review of Medicine
Volume55
DOIs
StatePublished - 2004
Externally publishedYes

Keywords

  • Mass spectrometry
  • Protein profiling
  • Proteomics
  • SELDI

Fingerprint

Dive into the research topics of 'Serum proteomics in cancer diagnosis and management'. Together they form a unique fingerprint.

Cite this