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Intra-Gene DNA Methylation Variability Is a Clinically Independent Prognostic Marker in Women's Cancers

  • TE Bartlett
  • , A (Angela) Jones
  • , EL Goode
  • , BL Fridley
  • , JM Cunningham
  • , Els Berns
  • , E Wik
  • , HB Salvesen
  • , B Davidson
  • , CG Trope
  • , S Lambrechts
  • , I Vergote
  • , M Widschwendter

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)

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.
Original languageUndefined/Unknown
JournalPLoS One (print)
Volume10
Issue number12
DOIs
Publication statusPublished - 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research programs

  • EMC MM-03-86-01

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