Evidence map›Paper›PMID 26363302›Full record

ReviewGenomics2015

DNA methylation changes in epithelial ovarian cancer histotypes.

Madalene A Earp, Julie M Cunningham

Abstract readReview
In one paragraph

Review in Genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Exon 4 and intron 4Biomedical reports · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Molecular Classification of Epithelial Ovarian Cancer Based on Methylation Profiling: Evidence for Survival Heterogeneity.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Cancer cell international · 2019
    Article
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

2 authors.

Madalene A EarpDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.
Julie M CunninghamDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States. Electronic address: cunningham.julie@mayo.edu.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
NCI NIH HHS P30 CA015083
6 · The paper itself

Abstract

Survival after a diagnosis of ovarian cancer has not improved, and despite histological differences, treatment is similar for all cases. Understanding the molecular basis for ovarian cancer risk and prognosis is fundamental, and to this end much has been gleaned about genetic changes contributing to risk, and to a lesser extent, survival. There's considerable evidence for genetic differences between the four pathologically defined histological subtypes; however, the contribution of epigenetics is less well documented. In this report, we review alterations in DNA methylation in ovarian cancer, focusing on histological subtypes, and studies examining the roles of methylation in determining therapy response. As epigenetics is making its way into clinical care, we review the application of cell free DNA methylation to ovarian cancer diagnosis and care. Finally, we comment on recurrent limitations in the DNA methylation literature for ovarian cancer, which can and should be addressed to mature this field.

Indexed as

DNA MethylationAdenocarcinoma, MucinousCarcinoma, Ovarian EpithelialCell Line, TumorCystadenocarcinoma, SerousGene Expression Regulation, NeoplasticGenome-Wide Association StudyHumansNeoplasms, Glandular and EpithelialOvarian NeoplasmsPromoter Regions, GeneticHistotypesMethylationOvarian cancer

Identifiers

PMID26363302
PMCPMC5006940

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.