title: Serum proteomics in cancer diagnosis and management.
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.
authors.affiliation: Laboratory of Pathology, National Cancer Institute, Center for Cancer Research, Bethesda, Maryland 20892, USA. rosenblk@nihexchange2.nih.gov
authors.forename: Kevin P
authors.initials: KP
authors.lastname: Rosenblatt
authors.forename: Peter
authors.initials: P
authors.lastname: Bryant-Greenwood
authors.forename: J Keith
authors.initials: JK
authors.lastname: Killian
authors.forename: Arpita
authors.initials: A
authors.lastname: Mehta
authors.forename: David
authors.initials: D
authors.lastname: Geho
authors.forename: Virginia
authors.initials: V
authors.lastname: Espina
authors.forename: Emanuel F
authors.initials: EF
authors.lastname: Petricoin
authors.forename: Lance A
authors.initials: LA
authors.lastname: Liotta
mesh_terms: D001798:Blood Proteins / Q000032:analysis / Q000235:genetics*; D019295:Computational Biology; D006801:Humans; D013058:Mass Spectrometry; D009369:Neoplasms / Q000175:diagnosis* / Q000235:genetics / Q000628:therapy*; D040901:Proteomics
chemical_list: D001798:Blood Proteins