title: Cancer diagnosis using proteomic patterns.
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.
authors.affiliation: Mass Spectrometry Center, Biomedical Proteomics Program, SAIC-Frederick, Inc, National Cancer Institute at Frederick, MD 21702, USA. conrads@ncifcrf.gov
authors.forename: Thomas P
authors.initials: TP
authors.lastname: Conrads
authors.forename: Ming
authors.initials: M
authors.lastname: Zhou
authors.forename: Emmanuel F
authors.initials: EF
authors.lastname: Petricoin
authors.forename: Lance
authors.initials: L
authors.lastname: Liotta
authors.forename: Timothy D
authors.initials: TD
authors.lastname: Veenstra
mesh_terms: D014408:Biomarkers, Tumor; D020869:Gene Expression Profiling; D006801:Humans; D013058:Mass Spectrometry; D025202:Molecular Diagnostic Techniques; D009369:Neoplasms / Q000175:diagnosis* / Q000378:metabolism*; D040081:Protein Array Analysis; D020543:Proteome; D040901:Proteomics
chemical_list: D014408:Biomarkers, Tumor; D020543:Proteome