Evidence map›Paper›PMID 18638373›Full record

ArticleBreast cancer research : BCR2008

Epigenetic mapping and functional analysis in a breast cancer metastasis model using whole-genome promoter tiling microarrays.

David I Rodenhiser, Joseph Andrews, Wendy Kennette, Bekim Sadikovic, Ariel Mendlowitz, Alan B Tuck, Ann F Chambers

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
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

40 citing papers in PubMed.

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  12. Methylation analysis of plasma cell-free DNA for breast cancer early detection using bisulfite next-generation sequencing.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  13. Cancer Cell Fusion: Mechanisms Slowly Unravel.International journal of molecular sciences · 2016
    Review
  14. Review
  15. Article
  16. Article
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  18. Epithelial to mesenchymal transition inducing transcription factors and metastatic cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Review
  19. Article
  20. 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

7 authors.

David I RodenhiserLondon Regional Cancer Program, Victoria Research Laboratories, London Health Sciences Centre, 790 Commissioners Road East, London, Ontario, N6A 4L6, Canada. drodenhi@uwo.ca
Joseph Andrews
Wendy Kennette
Bekim Sadikovic
Ariel Mendlowitz
Alan B Tuck
Ann F Chambers

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreast cancer metastasis is a complex, multi-step biological process. Genetic mutations along with epigenetic alterations in the form of DNA methylation patterns and histone modifications contribute to metastasis-related gene expression changes and genomic instability. So far, these epigenetic contributions to breast cancer metastasis have not been well characterized, and there is only a limited understanding of the functional mechanisms affected by such epigenetic alterations. Furthermore, no genome-wide assessments have been undertaken to identify altered DNA methylation patterns in the context of metastasis and their effects on specific functional pathways or gene networks.

methodsWe have used a human gene promoter tiling microarray platform to analyze a cell line model of metastasis to lymph nodes composed of a poorly metastatic MDA-MB-468GFP human breast adenocarcinoma cell line and its highly metastatic variant (468LN). Gene networks and pathways associated with metastasis were identified, and target genes associated with epithelial-mesenchymal transition were validated with respect to DNA methylation effects on gene expression.

resultsWe integrated data from the tiling microarrays with targets identified by Ingenuity Pathways Analysis software and observed epigenetic variations in genes implicated in epithelial-mesenchymal transition and with tumor cell migration. We identified widespread genomic hypermethylation and hypomethylation events in these cells and we confirmed functional associations between methylation status and expression of the CDH1, CST6, EGFR, SNAI2 and ZEB2 genes by quantitative real-time PCR. Our data also suggest that the complex genomic reorganization present in cancer cells may be superimposed over promoter-specific methylation events that are responsible for gene-specific expression changes.

conclusionThis is the first whole-genome approach to identify genome-wide and gene-specific epigenetic alterations, and the functional consequences of these changes, in the context of breast cancer metastasis to lymph nodes. This approach allows the development of epigenetic signatures of metastasis to be used concurrently with genomic signatures to improve mapping of the evolving molecular landscape of metastasis and to permit translational approaches to target epigenetically regulated molecular pathways related to metastatic progression.

Indexed as

Epigenesis, GeneticGene Expression Regulation, NeoplasticGenomeBreast NeoplasmsCell Line, TumorDNA MethylationHistonesHumansLymph NodesModels, GeneticNeoplasm MetastasisOligonucleotide Array Sequence AnalysisPrognosisPromoter Regions, GeneticReverse Transcriptase Polymerase Chain ReactionHistones

Identifiers

PMID18638373
PMCPMC2575535

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Registered trials

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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.