Evidence map›Paper›PMID 22945651›Full record

ArticleOncogene2013

Epigenetic screen identifies genotype-specific promoter DNA methylation and oncogenic potential of CHRNB4.

D B Scherf, N Sarkisyan, H Jacobsson, R Claus, J L Bermejo, B Peil, L Gu, T Muley, M Meister, H Dienemann and 2 more

Abstract read
In one paragraph

Article in Oncogene, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Identification ofInternational journal of molecular sciences · 2022
    Article
  6. Observational
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  10. The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    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

12 authors at 4 institutions in 1 country.

D B ScherfDivision of Epigenomics and Cancer Risk Factors (C010), German Cancer Research Center (DKFZ), Heidelberg, Germany.
N Sarkisyan
H Jacobsson
R Claus
J L Bermejo
B Peil
L Gu
T Muley
M Meister
H Dienemann
C Plass
A Risch
Heidelberg University · DEGerman Cancer Research Center · DEEpigenomics (Germany) · DEUniversity Hospital Heidelberg · DE

Funding

Transdisciplinary Research in Cancer of the Lung (TRICL)U19CA148127 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., LE MARCHAND, LOIC · 2010 to 2014
$10.9M
NCI NIH HHS CA148127NCI NIH HHS U19 CA148127
6 · The paper itself

Abstract

Genome-wide association studies have highlighted three major lung cancer susceptibility regions at 15q25.1, 5p15.33 and 6p21.33. To gain insight into the possible mechanistic relevance of the genes in these regions, we investigated the regulation of candidate susceptibility gene expression by epigenetic alterations in healthy and lung tumor tissues. For genes up or downregulated in lung tumors, the influence of genetic variants on DNA methylation was investigated and in vitro studies were performed. We analyzed 394 CpG units within 19 CpG islands in the susceptibility regions in a screening set of 34 patients. Significant findings were validated in an independent patient set (n=50) with available DNA and RNA. The most consistent overall DNA methylation difference between tumor and adjacent normal tissue on 15q25 was tumor hypomethylation in the promoter region of CHRNB4 with a median difference of 8% (P<0.001), which resulted in overexpression of the transcript in tumors (P<0.001). Confirming previous studies, we also found hypermethylation in CHRNA3 and telomerase reverse transcriptase (TERT) with significant expression changes. Decitabine treatment of H1299 cells resulted in reduced methylation levels in gene promoters, elevated transcript levels of CHRNB4 and CHRNA3, and a slight downregulation of TERT demonstrating epigenetic regulation of lung cancer cells. Single-nucleotide polymorphisms rs421629 on 5p15.33 and rs1948, rs660652, rs8040868 and rs2036527 on 15q25.1, previously identified as lung cancer risk or nicotine-addiction modifiers, were associated with tumor DNA methylation levels in the promoters of TERT and CHRNB4 (P<0.001), respectively, in two independent sample sets (n=82; n=150). In addition, CHRNB4 knockdown in two different cell lines (A549 and H1299) resulted in reduced proliferation (PA549<0.05;PH1299<0.001) and propensity to form colonies in H1299 cells. These results suggest epigenetic deregulation of nicotinic acetylcholine receptor subunit (nAChR) genes which in the case of CHRNB4 is strongly associated with genetic lung cancer susceptibility variants and a functional impact on tumorigenic potential.

Indexed as

GenotypeAzacitidineCarcinoma, Non-Small-Cell LungCell Line, TumorCell ProliferationDecitabineDNA MethylationEpigenesis, GeneticGene Expression Regulation, NeoplasticGene Knockdown TechniquesGenetic Predisposition to DiseaseHumansLung NeoplasmsNerve Tissue ProteinsPolymorphism, Single NucleotidePromoter Regions, GeneticAzacitidineCHRNB4 protein, humanDecitabineNerve Tissue ProteinsReceptors, Nicotinic

Identifiers

PMID22945651
PMCPMC3710305
OpenAlexW2014437007

What OpenQuestion holds

Textmetadata
LicenceTDM
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.