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

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...

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Autores principales: Bartlett, Thomas E., Jones, Allison, Goode, Ellen L., Fridley, Brooke L., Cunningham, Julie M., Berns, Els M. J. J., Wik, Elisabeth, Salvesen, Helga B., Davidson, Ben, Trope, Claes G., Lambrechts, Sandrina, Vergote, Ignace, Widschwendter, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667934/
https://www.ncbi.nlm.nih.gov/pubmed/26629914
http://dx.doi.org/10.1371/journal.pone.0143178
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author Bartlett, Thomas E.
Jones, Allison
Goode, Ellen L.
Fridley, Brooke L.
Cunningham, Julie M.
Berns, Els M. J. J.
Wik, Elisabeth
Salvesen, Helga B.
Davidson, Ben
Trope, Claes G.
Lambrechts, Sandrina
Vergote, Ignace
Widschwendter, Martin
author_facet Bartlett, Thomas E.
Jones, Allison
Goode, Ellen L.
Fridley, Brooke L.
Cunningham, Julie M.
Berns, Els M. J. J.
Wik, Elisabeth
Salvesen, Helga B.
Davidson, Ben
Trope, Claes G.
Lambrechts, Sandrina
Vergote, Ignace
Widschwendter, Martin
author_sort Bartlett, Thomas E.
collection PubMed
description 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.
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spelling pubmed-46679342015-12-10 Intra-Gene DNA Methylation Variability Is a Clinically Independent Prognostic Marker in Women’s Cancers Bartlett, Thomas E. Jones, Allison Goode, Ellen L. Fridley, Brooke L. Cunningham, Julie M. Berns, Els M. J. J. Wik, Elisabeth Salvesen, Helga B. Davidson, Ben Trope, Claes G. Lambrechts, Sandrina Vergote, Ignace Widschwendter, Martin PLoS One Research Article 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. Public Library of Science 2015-12-02 /pmc/articles/PMC4667934/ /pubmed/26629914 http://dx.doi.org/10.1371/journal.pone.0143178 Text en © 2015 Bartlett et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Bartlett, Thomas E.
Jones, Allison
Goode, Ellen L.
Fridley, Brooke L.
Cunningham, Julie M.
Berns, Els M. J. J.
Wik, Elisabeth
Salvesen, Helga B.
Davidson, Ben
Trope, Claes G.
Lambrechts, Sandrina
Vergote, Ignace
Widschwendter, Martin
Intra-Gene DNA Methylation Variability Is a Clinically Independent Prognostic Marker in Women’s Cancers
title Intra-Gene DNA Methylation Variability Is a Clinically Independent Prognostic Marker in Women’s Cancers
title_full Intra-Gene DNA Methylation Variability Is a Clinically Independent Prognostic Marker in Women’s Cancers
title_fullStr Intra-Gene DNA Methylation Variability Is a Clinically Independent Prognostic Marker in Women’s Cancers
title_full_unstemmed Intra-Gene DNA Methylation Variability Is a Clinically Independent Prognostic Marker in Women’s Cancers
title_short Intra-Gene DNA Methylation Variability Is a Clinically Independent Prognostic Marker in Women’s Cancers
title_sort intra-gene dna methylation variability is a clinically independent prognostic marker in women’s cancers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667934/
https://www.ncbi.nlm.nih.gov/pubmed/26629914
http://dx.doi.org/10.1371/journal.pone.0143178
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