Evidence map›Paper›PMID 30764732›Full record

ArticleEpigenetics2019

Epigenetic activation of POTE genes in ovarian cancer.

Ashok Sharma, Mustafa Albahrani, Wa Zhang, Christina N Kufel, Smitha R James, Kunle Odunsi, David Klinkebiel, Adam R Karpf

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Nucleic acid vaccination strategies for ovarian cancer.Frontiers in bioengineering and biotechnology · 2022
    Review
  8. Article
  9. Review
  10. Journal of integrative bioinformatics · 2021
    Article
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  12. Article
  13. Review
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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

8 authors at 2 institutions in 1 country.

Ashok Sharmaa Eppley Institute , University of Nebraska Medical Center , Omaha , NE , USA.
Mustafa Albahrania Eppley Institute , University of Nebraska Medical Center , Omaha , NE , USA.
Wa Zhanga Eppley Institute , University of Nebraska Medical Center , Omaha , NE , USA.
Christina N Kufelc Department of Pharmacology and Therapeutics , Roswell Park Comprehensive Cancer Center , Buffalo , NY , USA.
Smitha R Jamesc Department of Pharmacology and Therapeutics , Roswell Park Comprehensive Cancer Center , Buffalo , NY , USA.
Kunle Odunsid Department of Immunology , Roswell Park Comprehensive Cancer Center , Buffalo , NY , USA.
David Klinkebielb Fred & Pamela Buffett Cancer Center , University of Nebraska Medical Center , Omaha , NE , USA.
Adam R Karpfa Eppley Institute , University of Nebraska Medical Center , Omaha , NE , USA.
University of Nebraska Medical Center · USRoswell Park Comprehensive Cancer Center · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
UNMC/EPPLEY CANCER CENTER SUPPORT GRANTP30CA036727 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Apar Kishor Ganti · 1985 to 2026
$55.0M
Epigenetic regulation of cancer/germ-line antigen gene expressionR01CA116674 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI KARPF, ADAM R. · 2006 to 2010
$1.4M
NCI NIH HHS P30 CA016056NCI NIH HHS P30 CA036727NCI NIH HHS R01 CA116674
6 · The paper itself

Abstract

The POTE gene family consists of 14 homologous genes localized to autosomal pericentromeres, and a sub-set of POTEs are cancer-testis antigen (CTA) genes. POTEs are over-expressed in epithelial ovarian cancer (EOC), including the high-grade serous subtype (HGSC), and expression of individual POTEs correlates with chemoresistance and reduced survival in HGSC. The mechanisms driving POTE overexpression in EOC and other cancers is unknown. Here, we investigated the role of epigenetics in regulating POTE expression, with a focus on DNA hypomethylation. Consistent with their pericentromeric localization, Pan-POTE expression in EOC correlated with expression of the pericentromeric repeat NBL2, which was not the case for non-pericentromeric CTAs. POTE genomic regions contain LINE-1 (L1) sequences, and Pan-POTE expression correlated with both global and POTE-specific L1 hypomethylation in EOC. Analysis of individual POTEs using RNA-seq and DNA methylome data from fallopian tube epithelia (FTE) and HGSC revealed that POTEs C, E, and F have increased expression in HGSC in conjunction with DNA hypomethylation at 5' promoter or enhancer regions. Moreover, POTEs C/E/F showed additional increased expression in recurrent HGSC in conjunction with 5' hypomethylation, using patient-matched samples. Experiments using decitabine treatment and DNMT knockout cell lines verified a functional contribution of DNA methylation to POTE repression, and epigenetic drug combinations targeting histone deacetylases (HDACs) and histone methyltransferases (HMTs) in combination with decitabine further increased POTE expression. In summary, several alterations of the cancer epigenome, including pericentromeric activation, global and locus-specific L1 hypomethylation, and locus-specific 5' CpG hypomethylation, converge to promote POTE expression in ovarian cancer.

Indexed as

DNA MethylationUp-RegulationCarcinoma, Ovarian EpithelialCell Line, TumorEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticHumansLong Interspersed Nucleotide ElementsOvarian NeoplasmsPromoter Regions, GeneticProteinsProteinsDNA hypomethylationhigh-grade serous ovarian cancerLINE1Ovarian cancerpericentromeresPOTE

Identifiers

PMID30764732
PMCPMC6557602
OpenAlexW2915057732

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.