TY - JOUR
T1 - Serum proteomics in cancer diagnosis and management
AU - Rosenblatt, Kevin P.
AU - Bryant-Greenwood, Peter
AU - Killian, J. Keith
AU - Mehta, Arpita
AU - Geho, David
AU - Espina, Virginia
AU - Petricoin, Emanuel F.
AU - Liotta, Lance A.
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
KW - Mass spectrometry
KW - Protein profiling
KW - Proteomics
KW - SELDI
UR - http://www.scopus.com/inward/record.url?scp=1542329047&partnerID=8YFLogxK
U2 - 10.1146/annurev.med.55.091902.105237
DO - 10.1146/annurev.med.55.091902.105237
M3 - Review article
C2 - 14746511
AN - SCOPUS:1542329047
SN - 0066-4219
VL - 55
SP - 97
EP - 112
JO - Annual Review of Medicine
JF - Annual Review of Medicine
ER -