Evidence map›Paper›PMID 23571109›Full record

ArticleHuman molecular genetics2013

Epigenome-wide ovarian cancer analysis identifies a methylation profile differentiating clear-cell histology with epigenetic silencing of the HERG K+ channel.

Mine S Cicek, Devin C Koestler, Brooke L Fridley, Kimberly R Kalli, Sebastian M Armasu, Melissa C Larson, Chen Wang, Stacey J Winham, Robert A Vierkant, David N Rider and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

43 citing papers in PubMed, 79 citations in OpenAlex.

  1. Cellular origins of mucinous ovarian carcinoma.The Journal of pathology · 2025
    Review
  2. Review
  3. Review
  4. Ion Channels and Personalized Medicine in Gynecological Cancers.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  5. Article
  6. Article
  7. Review
  8. DNA Methylation Profiles of Ovarian Clear Cell Carcinoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  9. Potassium and Chloride Ion Channels in Cancer: A Novel Paradigm for Cancer Therapeutics.Reviews of physiology, biochemistry and pharmacology · 2022
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. 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
  17. Review
  18. Article
  19. Review
  20. Review
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

24 authors at 6 institutions in 2 countries.

Mine S CicekDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA.
Devin C Koestler
Brooke L Fridley
Kimberly R Kalli
Sebastian M Armasu
Melissa C Larson
Chen Wang
Stacey J Winham
Robert A Vierkant
David N Rider
Matthew S Block
Brandy Klotzle
Gottfried Konecny
Boris J Winterhoff
Habib Hamidi
Viji Shridhar
Jian-Bing Fan
Daniel W Visscher
Janet E Olson
Lynn C Hartmann
Marina Bibikova
Jeremy Chien
Julie M Cunningham
Ellen L Goode
Mayo Clinic · USIllumina (United States) · USUniversity of California, Los Angeles · USUniversity of Kansas · USDartmouth College · USMayo Clinic in Florida · US

Funding

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
NCI NIH HHS P50 CA136393NCI NIH HHS P50-CA136393NCI NIH HHS R01 CA122443
6 · The paper itself

Abstract

Ovarian cancer remains the leading cause of death in women with gynecologic malignancies, despite surgical advances and the development of more effective chemotherapeutics. As increasing evidence indicates that clear-cell ovarian cancer may have unique pathogenesis, further understanding of molecular features may enable us to begin to understand the underlying biology and histology-specific information for improved outcomes. To study epigenetics in clear-cell ovarian cancer, fresh frozen tumor DNA (n = 485) was assayed on Illumina Infinium HumanMethylation450 BeadChips. We identified a clear-cell ovarian cancer tumor methylation profile (n = 163) which we validated in two independent replication sets (set 1, n = 163; set 2, n = 159), highlighting 22 CpG loci associated with nine genes (VWA1, FOXP1, FGFRL1, LINC00340, KCNH2, ANK1, ATXN2, NDRG21 and SLC16A11). Nearly all of the differentially methylated CpGs showed a propensity toward hypermethylation among clear-cell cases. Several loci methylation inversely correlated with tumor gene expression, most notably KCNH2 (HERG, a potassium channel) (P = 9.5 × 10(-7)), indicating epigenetic silencing. In addition, a predicted methylation class mainly represented by the clear-cell cases (20 clear cell out of 23 cases) had improved survival time. Although these analyses included only 30 clear-cell carcinomas, results suggest that loss of expression of KCNH2 (HERG) by methylation could be a good prognostic marker, given that overexpression of the potassium (K(+)) channel Eag family members promotes increased proliferation and results in poor prognosis. Validation in a bigger cohort of clear-cell tumors of the ovary is warranted.

Indexed as

DNA MethylationGene Expression ProfilingGene Expression Regulation, NeoplasticGene SilencingAdultAgedAged, 80 and overCluster AnalysisCpG IslandsEpigenesis, GeneticEpigenomicsERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsFemaleHumansMiddle AgedERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsKCNH2 protein, human

Identifiers

PMID23571109
PMCPMC3699065
OpenAlexW2135905270

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.