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 genepanel 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.
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CITATION STYLE
Bartlett, T. E., Jones, A., Goode, E. L., Fridley, B. L., Cunningham, J. M., Berns, E. M. J. J., … Widschwendter, M. (2015). Intra-gene DNA methylation variability is a clinically independent prognostic marker in women’s cancers. PLoS ONE, 10(12). https://doi.org/10.1371/journal.pone.0143178
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