SELDI-TOF-based serum proteomic pattern diagnostics for early detection of cancer

Emanuel F. Petricoin*, Lance A. Liotta

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

304 Scopus citations


Proteomics is more than just generating lists of proteins that increase or decrease in expression as a cause or consequence of pathology. The goal should be to characterize the information flow through the intercellular protein circuitry that communicates with the extracellular microenvironment and then ultimately to the serum/plasma macroenvironment. The nature of this information can be a cause, or a consequence, of disease and toxicity-based processes. Serum proteomic pattern diagnostics is a new type of proteomic platform in which patterns of proteomic signatures from high dimensional mass spectrometry data are used as a diagnostic classifier. This approach has recently shown tremendous promise in the detection of early-stage cancers. The biomarkers found by SELDI-TOF-based pattern recognition analysis are mostly low molecular weight fragments produced at the specific tumor microenvironment.

Original languageEnglish
Pages (from-to)24-30
Number of pages7
JournalCurrent Opinion in Biotechnology
Issue number1
StatePublished - Feb 2004
Externally publishedYes


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