Evidence map›Paper›PMID 24490656›Full record

ArticleBreast cancer research : BCR2014

Identification and characterization of locus-specific methylation patterns within novel loci undergoing hypermethylation during breast cancer pathogenesis.

Tomasz K Wojdacz, Johanne A Windeløv, Britta B Thestrup, Tine E Damsgaard, Jens Overgaard, Lise Hansen

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Article in Breast cancer research : BCR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Aberrant methylation ofJournal of Cancer · 2018
    Article
  8. Article
  9. Impact ofOncology letters · 2017
    Article
  10. Methylation in promoter regions of PITX2 and RASSF1A genes in association with clinicopathological features in breast cancer patients.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  11. Epigenetic roles in the malignant transformation of gastric mucosal cells.Cellular and molecular life sciences : CMLS · 2016
    Review
  12. Article
  13. Review
  14. Article
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.

Tomasz K Wojdacz
Johanne A Windeløv
Britta B Thestrup
Tine E Damsgaard
Jens Overgaard
Lise Hansen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite similar clinical and pathological features, large numbers of breast cancer patients experience different outcomes of the disease. This, together with the fact that the incidence of breast cancer is growing worldwide, emphasizes an urgent need for identification of new biomarkers for early cancer detection and stratification of patients.

methodsWe used ultrahigh-resolution microarrays to compare genomewide methylation patterns of breast carcinomas (n = 20) and nonmalignant breast tissue (n = 5). Biomarker properties of a subset of discovered differentially methylated regions (DMRs) were validated using methylation-sensitive high-resolution melting (MS-HRM) in a case-control study on a panel of breast carcinomas (n = 275) and non-malignant controls (n = 74).

resultsOn the basis of microarray results, we selected 19 DMRs for large-scale screening of cases and controls. Analysis of the screening results showed that all DMRs tested displayed significant gains of methylation in the cancer tissue compared to the levels in control tissue. Interestingly, we observed two types of locus-specific methylation, with loci undergoing either predominantly full or heterogeneous methylation during carcinogenesis. Almost all tested DMRs (17 of 19) displayed low-level methylation in nonmalignant breast tissue, independently of locus-specific methylation patterns in cases.

conclusionsSpecific loci can undergo either heterogeneous or full methylation during carcinogenesis, and loci hypermethylated in cancer frequently show low-level methylation in nonmalignant tissue.

Indexed as

Base SequenceBiomarkers, TumorBreast NeoplasmsCase-Control StudiesCpG IslandsDNA MethylationEpigenesis, GeneticFemaleHumansSequence Analysis, DNATissue Array AnalysisBiomarkers, Tumor

Identifiers

PMID24490656
PMCPMC3978461

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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.