Pharmaceutical Sciences Faculty Publications
High-resolution serum proteomic features for ovarian cancer detection.
Document Type
Article
Publication Date
6-1-2004
Journal Title
Endocrine-Related Cancer
ISSN
1351-0088
Volume
11
Issue
2
First Page
163
Last Page
178
DOI
10.1677/erc.0.0110163
PubMed ID
15163296
Abstract
Serum proteomic pattern diagnostics is an emerging paradigm employing low-resolution mass spectrometry (MS) to generate a set of biomarker classifiers. In the present study, we utilized a well-controlled ovarian cancer serum study set to compare the sensitivity and specificity of serum proteomic diagnostic patterns acquired using a high-resolution versus a low-resolution MS platform. In blinded testing sets, the high-resolution mass spectral data contained multiple diagnostic signatures that were superior to the low-resolution spectra in terms of sensitivity and specificity (P
Keywords
Biomarkers, tumor, blood proteins, diagnosis, differential, neoplasm proteins, ovarian neoplasms, proteomics, spectrometry, mass
Recommended Citation
Conrads, T. P.; Fusaro, V. A.; Ross, S.; Johann, D.; Rajapakse, V.; Hitt, B. A.; Steinberg, S. M.; Kohn, E. C.; Fishman, D. A.; Veenstra, Timothy D.; and et al, "High-resolution serum proteomic features for ovarian cancer detection." (2004). Pharmaceutical Sciences Faculty Publications. 466.
https://digitalcommons.cedarville.edu/pharmaceutical_sciences_publications/466
