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

137 Scopus citations


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
StatePublished - 2004
Externally publishedYes


  • Mass spectrometry
  • Protein profiling
  • Proteomics


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