Evidence map›Paper›PMID 26629914›Full record

ArticlePloS one2015

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

Thomas E Bartlett, Allison Jones, Ellen L Goode, Brooke L Fridley, Julie M Cunningham, Els M J J Berns, Elisabeth Wik, Helga B Salvesen, Ben Davidson, Claes G Trope and 3 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Methylation Signature Implicated in Immuno-Suppressive Activities in Tubo-Ovarian High-Grade Serous Carcinoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Methylomic Analysis of Ovarian Cancers Identifies Tumor-Specific Alterations Readily Detectable in Early Precursor Lesions.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Article
  11. Review
  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Thomas E BartlettDepartment of Women's Cancer, Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, United Kingdom.
Allison JonesDepartment of Women's Cancer, Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, United Kingdom.
Ellen L GoodeDepartment of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, United States of America.
Brooke L FridleyDepartment of Biostatistics, University of Kansas Medical Center, Kansas City, KS, United States of America.
Julie M CunninghamDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States of America.
Els M J J BernsDepartment of Medical Oncology, Erasmus MC-Cancer Center, Rotterdam, The Netherlands.
Elisabeth WikDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
Helga B SalvesenDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
Ben DavidsonDepartment of Pathology, Oslo University Hospital, Norwegian Radium Hospital, University of Oslo, Faculty of Medicine, Institute of Clinical Medicine, Oslo, Norway.
Claes G TropeDepartment of Gynaecological Oncology, Oslo University Hospital, Norwegian Radium Hospital, Oslo, Norway.
Sandrina LambrechtsDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology and Leuven Cancer Institute, University Hospitals Leuven, Katholieke Universiteit Leuven, Leuven, Belgium.
Ignace VergoteDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology and Leuven Cancer Institute, University Hospitals Leuven, Katholieke Universiteit Leuven, Leuven, Belgium.
Martin WidschwendterDepartment of Women's Cancer, Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, United Kingdom.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI Zhenkun Lou · 2009 to 2026
$37.0M
Genetic Variation in the NF-kappaB Pathway and Ovarian Cancer EtiologyR01CA122443 · NCI · MAYO CLINIC ROCHESTER · PI GOODE, ELLEN L. · 2007 to 2012
$2.7M
Medical Research CouncilNCI NIH HHS P30 CA015083NCI NIH HHS P30-CA15083NCI NIH HHS P50 CA136393NCI NIH HHS P50-CA136393NCI NIH HHS R01 CA122443NCI NIH HHS R01-CA122443
6 · The paper itself

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.

Indexed as

DNA MethylationCpG IslandsEnhancer Elements, GeneticFemaleHumansOvarian NeoplasmsPrognosisTranscription FactorsTranscription Factors

Identifiers

PMID26629914
PMCPMC4667934

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.