Pharmaceutical Sciences Faculty Publications
Cancer Diagnosis Using proteomic Patterns
Document Type
Article
Publication Date
7-1-2003
Journal Title
Expert Review of Molecular Diagnostics
ISSN
1473-7159
Volume
3
Issue
4
First Page
411
Last Page
420
DOI
10.1586/14737159.3.4.411
PubMed ID
12877381
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.
Keywords
Biomarkers, tumor, gene expression profiling, humans, mass spectrometry, molecular diagnostic techniques, neoplasms, protein array analysis, proteome, proteomics
Recommended Citation
Conrads, Thomas P.; Zhou, Ming; Petricoin, Emmanuel F.; Liotta, Lance; and Veenstra, Timothy D., "Cancer Diagnosis Using proteomic Patterns" (2003). Pharmaceutical Sciences Faculty Publications. 487.
https://digitalcommons.cedarville.edu/pharmaceutical_sciences_publications/487