Evidence map›Paper›PMID 20226036›Full record

ArticleBMC cancer2010

Quantitative methylation profiling in tumor and matched morphologically normal tissues from breast cancer patients.

Ilse Van der Auwera, Catherine Bovie, Cecilia Svensson, Xuan B Trinh, Ridha Limame, Peter van Dam, Steven J van Laere, Eric A van Marck, Luc Y Dirix, Peter B Vermeulen

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.2field-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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Methylation Profiles of BRCA1, RASSF1A and GSTP1 in Vietnamese Women with Breast CancerAsian Pacific journal of cancer prevention : APJCP · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. [Promoter methylation and expression of death-associated protein kinase gene in acute leukemia].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Twist: a molecular target in cancer therapeutics.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Review
  19. Article
  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

10 authors at 2 institutions in 1 country.

Ilse Van der AuweraTranslational Cancer Research Group (Laboratory of Pathology, University of Antwerp/University Hospital Antwerp; Oncology Centre, General Hospital St-Augustinus), 2610 Antwerp, Belgium.
Catherine Bovie
Cecilia Svensson
Xuan B Trinh
Ridha Limame
Peter van Dam
Steven J van Laere
Eric A van Marck
Luc Y Dirix
Peter B Vermeulen
University of Antwerp · BEAntwerp University Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the present study, we determined the gene hypermethylation profiles of normal tissues adjacent to invasive breast carcinomas and investigated whether these are associated with the gene hypermethylation profiles of the corresponding primary breast tumors.

methodsA quantitative methylation-specific PCR assay was used to analyze the DNA methylation status of 6 genes (DAPK, TWIST, HIN-1, RASSF1A, RARbeta2 and APC) in 9 normal breast tissue samples from unaffected women and in 56 paired cancerous and normal tissue samples from breast cancer patients.

resultsNormal tissue adjacent to breast cancer displayed statistically significant differences to unrelated normal breast tissues regarding the aberrant methylation of the RASSF1A (P = 0.03), RARbeta2 (P = 0.04) and APC (P = 0.04) genes. Although methylation ratios for all genes in normal tissues from cancer patients were significantly lower than in the cancerous tissue from the same patient (P < or = 0.01), in general, a clear correlation was observed between methylation ratios measured in both tissue types for all genes tested (P < 0.01). When analyzed as a categorical variable, there was a significant concordance between methylation changes in normal tissues and in the corresponding tumor for all genes tested but RASSF1A. Notably, in 73% of patients, at least one gene with an identical methylation change in cancerous and normal breast tissues was observed.

conclusionsHistologically normal breast tissues adjacent to breast tumors frequently exhibit methylation changes in multiple genes. These methylation changes may play a role in the earliest stages of the development of breast neoplasia.

Indexed as

DNA MethylationAdultAgedAged, 80 and overAge FactorsBreastBreast NeoplasmsCase-Control StudiesDNA, NeoplasmFemaleHumansMiddle AgedReverse Transcriptase Polymerase Chain ReactionDNA, Neoplasm

Identifiers

PMID20226036
PMCPMC2845117
OpenAlexW2075803604

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.