Autoantibody profiling to identify biomarkers of key pathogenic pathways in mucinous ovarian cancer

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Title Autoantibody profiling to identify biomarkers of key pathogenic pathways in mucinous ovarian cancer
Author Tang, Liangdan; Yang, Junzheng; Ng, Shu Kay Angus; Rodriguez, Noah; Choi, Pui-Wah; Vitonis, Allison; Wang, Kui; McLachlan, Geoffrey J.; Robert J. Caiazzo Jr.; Liu, Brian C.-S.; Welch, William R.; Cramer, Daniel W.; Berkowitz, Ross S.; Ng, Shu-Wing
Journal Name European Journal of Cancer
Year Published 2010
Place of publication United Kingdom
Publisher Elsevier
Abstract Mucinous epithelial ovarian cancers are clinically and morphologically distinct from the other histopathologic subtypes of ovarian cancer. Unlike other ovarian subtypes, epidemiologic studies have indicated that tobacco exposure is a significant risk factor for developing mucinous ovarian cancer. Detection of autoantibody reactivity is useful in biomarker discovery and for explaining the role of important pathophysiologic pathways in disease. In order to study if there are specific antibody biomarkers in the plasma samples of mucinous ovarian cancer patients, we have initiated a screen by employing a ‘reverse capture antibody microarray’ platform that uses native host antigens derived from mucinous ovarian tissues as ‘baits’ for the capture of differentially labelled patient and control autoantibodies. Thirty-five autoantibodies that were significantly elevated in the cancer plasma samples compared with healthy controls, and six autoantibodies that segregated smoking and non-smoking patients were identified. Functional annotation of the antibody targets has identified nine target antigens involved in integrin and Wnt signalling pathways. Immunohistochemistry of archived ovarian specimens showed significant overexpression of eight of the nine target antigens in mucinous ovarian tumour tissues, suggesting that plasma autoantibodies from mucinous ovarian cancer patients might have heightened reactivities with epitopes presented by these overexpressed antigens. Autoantibody profiling may have an unexpected utility in uncovering key signalling pathways that are dysregulated in the system of interest.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1016/j.ejca.2009.10.003
Copyright Statement Copyright 2010 Wiley-Blackwell Publishing. This is the author-manuscript version of the paper. Reproduced in accordance with the copyright policy of the publisher.The definitive version is available at www.interscience.wiley.com
Volume 46
Issue Number 1
Page from 170
Page to 179
ISSN 0959-8049
Date Accessioned 2010-06-21
Date Available 2013-09-01T23:13:58Z
Language en_US
Research Centre Griffith Health Institute; Population and Social Health Research Program
Faculty Griffith Health Faculty
Subject PRE2009-Applied Statistics; PRE2009-Gene Expression
URI http://hdl.handle.net/10072/33154
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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