Evidence map›Paper›PMID 17690210›Full record

ArticleThe Journal of molecular diagnostics : JMD2007

Rapid identification of promoter hypermethylation in hepatocellular carcinoma by pyrosequencing of etiologically homogeneous sample pools.

Emelyne Dejeux, Virginie Audard, Catherine Cavard, Ivo Glynne Gut, Benoit Terris, Jörg Tost

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Trial
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  4. Identification and validation ofOncology letters · 2024
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  11. Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Article
  12. Feasibility of quantifyingClinical epigenetics · 2017
    Article
  13. Review
  14. Article
  15. 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

6 authors at 3 institutions in 1 country.

Emelyne DejeuxLaboratory for Epigenetics, Centre National de Génotypage, Bâtiment G2, 2 rue Gaston Crémieux, CP 5721, 91057 Evry Cedex, France.
Virginie Audard
Catherine Cavard
Ivo Glynne Gut
Benoit Terris
Jörg Tost
Genoscope · FRInstitut Cochin · FRAssistance Publique – Hôpitaux de Paris · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant DNA methylation patterns have been identified in a variety of human diseases, particularly cancer. Pyrosequencing has evolved in recent years as a sensitive and accurate method for the analysis and quantification of the degree of DNA methylation in specific target regions. However, the number of candidate genes that can be analyzed in clinical specimens is often restricted by the limited amount of sample available. Here, we present a novel screening approach that enables the rapid identification of differentially methylated regions such as promoters by pyrosequencing of etiologically homogeneous sample pools after bisulfite treatment. We exemplify its use by the analysis of five genes (CDKN2A, GSTP1, MLH1, IGF2, and CTNNB1) involved in the pathogenesis of human hepatocellular carcinoma using pools stratified for different parameters of clinical importance. Results were confirmed by the individual analysis of the samples. The screening identified all genes displaying differential methylation successfully, and no false positives occurred. Quantitative comparison of the pools and the samples in the pool analyzed individually showed a deviation of approximately 1.5%, making the method ideally suited for the identification of diagnostic markers based on DNA methylation while saving precious DNA material.

Indexed as

DNA MethylationCarcinoma, HepatocellularCpG IslandsDNA, NeoplasmHumansPromoter Regions, GeneticSample SizeSequence Analysis, DNADNA, Neoplasm

Identifiers

PMID17690210
PMCPMC1975099
OpenAlexW1974208315

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.