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Intra-gene DNA methylation variability is a clinically independent prognostic marker in women's cancers

Bartlett, TE; Jones, A; Goode, EL; Fridley, BL; Cunningham, JM; Berns, EM; Wik, E; ... Widschwendter, M; + view all (2015) Intra-gene DNA methylation variability is a clinically independent prognostic marker in women's cancers. PLoS One , 10 (12) , Article e0143178. 10.1371/journal.pone.0143178. Green open access

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Abstract

We introduce a novel per-gene measure of intra-gene DNA methylation variability (IGV) based on the Illumina Infinium HumanMethylation450 platform, which is prognostic independently of well-known predictors of clinical outcome. Using IGV, we derive a robust gene-panel prognostic signature for ovarian cancer (OC, n = 221), which validates in two independent data sets from Mayo Clinic (n = 198) and TCGA (n = 358), with significance of p = 0.004 in both sets. The OC prognostic signature gene-panel is comprised of four gene groups, which represent distinct biological processes. We show the IGV measurements of these gene groups are most likely a reflection of a mixture of intra-tumour heterogeneity and transcription factor (TF) binding/activity. IGV can be used to predict clinical outcome in patients individually, providing a surrogate read-out of hard-to-measure disease processes.

Type: Article
Title: Intra-gene DNA methylation variability is a clinically independent prognostic marker in women's cancers
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0143178
Publisher version: http://dx.doi.org/10.1371/journal.pone.0143178
Additional information: © 2015 Bartlett 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
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 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
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/1474742
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