Clinical proteomics: Applications for prostate cancer biomarker discovery and detection

• Published in: Urologic oncology 2004-07, Vol.22 (4), p.322-328
• Main Authors: Petricoin, Emanuel F, Ornstein, David K, Liotta, Lance A
• Format: Article
• Language: English
• Subjects: Biomarkers; Biomarkers, Tumor - analysis; Diagnosis, Differential; Diagnostics; Gene Expression Profiling; Humans; Male; Mass Spectrometry; Pattern recognition; Prostatic Neoplasms - diagnosis; Prostatic Neoplasms - physiopathology; Protein Array Analysis; Protein microarray; Proteomics; Proteomics - trends
• ISSN: 1078-1439; 1873-2496
• DOI: 10.1016/j.urolonc.2004.04.011

The science of proteomics comprises much more than simply generating lists of proteins that change in expression as a cause of or consequence of pathophysiology. The goal of proteomics 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. Serum proteomic pattern diagnostics is a new type of proteomic concept in which patterns of ion signatures generated from high dimensional mass spectrometry data are used as diagnostic classifiers. This recent approach has exciting potential for clinical utility of diagnostic patterns because low molecular weight metabolites, peptides, and protein fragments may have higher accuracy than traditional biomarkers of cancer detection. Intriguingly, we now have discovered that this diagnostic information exists in a bound state, complexed with circulating highly abundant carrier proteins. These diagnostic fragments may one day be harvested by circulating nanoparticles, designed to absorb, enrich, and amplify the repertoire of diagnostic biomarkers generated—even at the critical, initial stages of carcinogenesis.