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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4667934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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