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An Epigenetic Signature in Peripheral Blood Predicts Active Ovarian Cancer

Teschendorff, AE; Menon, U; Gentry-Maharaj, A; Ramus, SJ; Gayther, SA; Apostolidou, S; Jones, A; ... Widschwendter, M; + view all (2009) An Epigenetic Signature in Peripheral Blood Predicts Active Ovarian Cancer. PLOS ONE , 4 (12) , Article e8274. 10.1371/journal.pone.0008274. Green open access

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Abstract

Background: Recent studies have shown that DNA methylation (DNAm) markers in peripheral blood may hold promise as diagnostic or early detection/risk markers for epithelial cancers. However, to date no study has evaluated the diagnostic and predictive potential of such markers in a large case control cohort and on a genome-wide basis.Principal Findings: By performing genome-wide DNAm profiling of a large ovarian cancer case control cohort, we here demonstrate that active ovarian cancer has a significant impact on the DNAm pattern in peripheral blood. Specifically, by measuring the methylation levels of over 27,000 CpGs in blood cells from 148 healthy individuals and 113 age-matched pretreatment ovarian cancer cases, we derive a DNAm signature that can predict the presence of active ovarian cancer in blind test sets with an AUC of 0.8 (95% CI (0.74-0.87)). We further validate our findings in another independent set of 122 posttreatment cases (AUC = 0.76 (0.72-0.81)). In addition, we provide evidence for a significant number of candidate risk or early detection markers for ovarian cancer. Furthermore, by comparing the pattern of methylation with gene expression data from major blood cell types, we here demonstrate that age and cancer elicit common changes in the composition of peripheral blood, with a myeloid skewing that increases with age and which is further aggravated in the presence of ovarian cancer. Finally, we show that most cancer and age associated methylation variability is found at CpGs located outside of CpG islands.Significance: Our results underscore the potential of DNAm profiling in peripheral blood as a tool for detection or risk-prediction of epithelial cancers, and warrants further in-depth and higher CpG coverage studies to further elucidate this role.

Type: Article
Title: An Epigenetic Signature in Peripheral Blood Predicts Active Ovarian Cancer
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0008274
Publisher version: http://dx.doi.org/10.1371/journal.pone.0008274
Additional information: © 2009 Teschendorff et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: COLORECTAL-CANCER, GENE-EXPRESSION, HUMAN COLON, DNA, METHYLATION, PROFILES, CELLS, HYPERMETHYLATION, NEUTROPHILS, MARKER
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute > Research Department of Cancer Bio
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Womens Cancer
URI: https://discovery-pp.ucl.ac.uk/id/eprint/174240
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