Early detection of ovarian cancer using group biomarkers

Molecular Cancer Therapeutics
Alain B TchagangAmy Pn Skubitz

Abstract

One reason that ovarian cancer is such a deadly disease is because it is not usually diagnosed until it has reached an advanced stage. In this study, we developed a novel algorithm for group biomarkers identification using gene expression data. Group biomarkers consist of coregulated genes across normal and different stage diseased tissues. Unlike prior sets of biomarkers identified by statistical methods, genes in group biomarkers are potentially involved in pathways related to different types of cancer development. They may serve as an alternative to the traditional single biomarkers or combination of biomarkers used for the diagnosis of early-stage and/or recurrent ovarian cancer. We extracted group biomarkers by applying biclustering algorithms that we recently developed on the gene expression data of over 400 normal, cancerous, and diseased tissues. We identified several groups of coregulated genes that encode for secreted proteins and exhibit expression levels in ovarian cancer that are at least 2-fold (in log2 scale) higher than in normal ovary and nonovarian tissues. In particular, three candidate group biomarkers exhibited a conserved biological pattern that may be used for early detection or recurrence of ovarian canc...Continue Reading

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Citations

Nov 19, 2011·Journal of Molecular Medicine : Official Organ of the Gesellschaft Deutscher Naturforscher Und Ärzte·Yu-Hsiang LeeDavid T Wong
Sep 13, 2011·Cancer Microenvironment : Official Journal of the International Cancer Microenvironment Society·Noor A LokmanCarmela Ricciardelli
May 27, 2011·Cell Death & Disease·A Sermeus, C Michiels
Feb 26, 2010·BMC Cancer·Narasimhan KothandaramanMahesh Choolani
Sep 17, 2010·Expert Review of Molecular Diagnostics·Juan RenShi-Wen Jiang
Feb 15, 2011·Hepatology : Official Journal of the American Association for the Study of Liver Diseases·Christine GauglhoferBettina Grasl-Kraupp
Aug 8, 2015·Journal of Computer Assisted Tomography·Michael J ReiterMichael B Osswald
Jun 14, 2013·BioMed Research International·Loukia N LiliJohn F McDonald
Apr 16, 2011·Neural Networks : the Official Journal of the International Neural Network Society·Rui Xu, Donald C Wunsch Ii
May 29, 2018·Scientific Reports·Hila Ventura-BixenshpanerMichal Hershfinkel

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