Open AccessUse of high density antibody arrays to validate and discover cancer serum biomarkers
Author(s) -
Loch Christian M.,
Ramirez Arturo B.,
Liu Yan,
Sather Cassandra L.,
Delrow Jeffrey J.,
Scholler Nathalie,
Garvik Barbara M.,
Urban Nicole D.,
McIntosh Martin W.,
Lampe Paul D.
Publication year - 2007
Publication title -
molecular oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.332
H-Index - 88
eISSN - 1878-0261
pISSN - 1574-7891
DOI - 10.1016/j.molonc.2007.08.004
Subject(s) - biomarker discovery , biomarker , cancer , computational biology , cancer biomarkers , ovarian cancer , antibody , antibody microarray , bioinformatics , biology , proteomics , immunology , gene , genetics
Perhaps the greatest barrier to translation of serum biomarker discoveries is the inability to evaluate putative biomarkers in high throughput validation studies. Here we report on the development, production, and implementation of a high‐density antibody microarray used to evaluate large numbers of candidate ovarian cancer serum biomarkers. The platform was shown to be useful for evaluation of individual antibodies for comparative analysis, such as with disease classification, and biomarker validation and discovery. We demonstrate its performance by showing that known tumor markers behave as expected. We also identify several promising biomarkers from a candidate list and generate hypotheses to support new discovery studies.