Evidence map›Paper›PMID 22791128›Full record

Trial reportInternational journal of colorectal disease2013

Quantitative profiling of CpG island methylation in human stool for colorectal cancer detection.

Giles O Elliott, Ian T Johnson, Jane Scarll, Jack Dainty, Elizabeth A Williams, D Garg, Amanda Coupe, David M Bradburn, John C Mathers, Nigel J Belshaw

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in International journal of colorectal disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Epigenetic differences in the tumor suppressor genesInnovative surgical sciences · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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

10 authors at 5 institutions in 1 country.

Giles O ElliottInstitute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK. giles.elliott@ifr.ac.uk
Ian T Johnson
Jane Scarll
Jack Dainty
Elizabeth A Williams
D Garg
Amanda Coupe
David M Bradburn
John C Mathers
Nigel J Belshaw
Newcastle University · GBNorwich Research Park · GBQuadram Institute · GBRoyal Hallamshire Hospital · GBWansbeck General Hospital · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/F/00042212Medical Research Council G0900686
6 · The paper itself

Abstract

purposeThe aims of this study were to investigate the use of quantitative CGI methylation data from stool DNA to classify colon cancer patients and to relate stool CGI methylation levels to those found in corresponding tissue samples.

methodsWe applied a quantitative methylation-specific PCR assay to determine CGI methylation levels of six genes, previously shown to be aberrantly methylated during colorectal carcinogenesis. Assays were performed on DNA from biopsies of "normal" mucosa and stool samples from 57 patients classified as disease-free, adenoma, or cancer by endoscopy, and in tumour tissue from cancer patients. Additionally, CGI methylation was analysed in stool DNA from an asymptomatic population of individuals covering a broad age range (mean = 47 ± 24 years)

resultsCGI methylation levels in stool DNA were significantly higher than in DNA from macroscopically normal mucosa, and a significant correlation between stool and mucosa was observed for ESR1 only. Multivariate statistical analyses using the methylation levels of each CGI in stool DNA as a continuous variable revealed a highly significant (p = 0.003) classification of cancer vs. non-cancer (adenoma + disease-free) patients (sensitivity = 65 %, specificity = 81 %).

conclusionCGI methylation profiling of stool DNA successfully identified patients with cancer despite the methylation status of CGIs in stool DNA not generally reflecting those in DNA from the colonic mucosa.

Indexed as

DNA MethylationFecesAdaptor Proteins, Signal TransducingAdenomatous PolypsAdultAgedAged, 80 and overBiomarkers, TumorCase-Control StudiesColorectal NeoplasmsCpG IslandsDiscriminant AnalysisEpigenesis, GeneticEstrogen Receptor alphaFemaleGenes, APCAdaptor Proteins, Signal TransducingBiomarkers, TumorESR1 protein, humanEstrogen Receptor alphaGenetic MarkersMembrane ProteinsMLH1 protein, humanMutL Protein Homolog 1Neoplasm ProteinsNuclear ProteinsTMEFF2 protein, human

Identifiers

PMID22791128
OpenAlexW2076399300

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.