Evidence map›Paper›PMID 20206335›Full record

ArticleAmerican journal of human genetics2010

DNA methylome of familial breast cancer identifies distinct profiles defined by mutation status.

James M Flanagan, Sibylle Cocciardi, Nic Waddell, Cameron N Johnstone, Anna Marsh, Stephen Henderson, Peter Simpson, Leonard da Silva, kConFab Investigators, Kumkum Khanna and 3 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in American journal of human genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 83 citations in OpenAlex.

  1. International journal of molecular sciences · 2026
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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

13 authors at 4 institutions in 2 countries.

James M FlanaganCRUK Viral Oncology Group, UCL Cancer Institute, London WC1E 6BT, UK. j.flanagan@imperial.ac.uk
Sibylle Cocciardi
Nic Waddell
Cameron N Johnstone
Anna Marsh
Stephen Henderson
Peter Simpson
Leonard da Silva
kConFab Investigators
Kumkum Khanna
Sunil Lakhani
Chris Boshoff
Georgia Chenevix-Trench
QIMR Berghofer Medical Research Institute · AUUniversity of Queensland · AUUniversity College London · GBImperial College London · GB

Funding

Cancer Research UK C536/A6689
6 · The paper itself

Abstract

It is now understood that epigenetic alterations occur frequently in sporadic breast carcinogenesis, but little is known about the epigenetic alterations associated with familial breast tumors. We performed genome-wide DNA-methylation profiling on familial breast cancers (n = 33) to identify patterns of methylation specific to the different mutation groups (BRCA1, BRCA2, and BRCAx) or intrinsic subtypes of breast cancer (basal, luminal A, luminal B, HER2-amplified, and normal-like). We used methylated DNA immunoprecipitation (MeDIP) on Affymetrix promoter chips to interrogate methylation profiles across 25,500 distinct transcripts. Using a support vector machine classification algorithm, we demonstrated that genome-wide methylation profiles predicted tumor mutation status with estimated error rates of 19% (BRCA1), 31% (BRCA2), and 36% (BRCAx) but did not accurately predict the intrinsic subtypes defined by gene expression. Furthermore, using unsupervised hierarchical clustering, we identified a distinct subgroup of BRCAx tumors defined by methylation profiles. We validated these findings in the 33 tumors in the test set, as well as in an independent validation set of 47 formalin-fixed, paraffin-embedded familial breast tumors, by pyrosequencing and Epityper. Finally, gene-expression profiling and SNP CGH array previously performed on the same samples allowed full integration of methylation, gene-expression, and copy-number data sets, revealing frequent hypermethylation of genes that also displayed loss of heterozygosity, as well as of genes that show copy-number gains, providing a potential mechanism for expression dosage compensation. Together, these data show that methylation profiles for familial breast cancers are defined by the mutation status and are distinct from the intrinsic subtypes.

Indexed as

MutationBreast NeoplasmsCpG IslandsDNA MethylationDNA, NeoplasmFemaleGene Expression ProfilingGenes, BRCA1Genes, BRCA2HumansOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionPromoter Regions, GeneticDNA, Neoplasm

Identifiers

PMID20206335
PMCPMC2833389
OpenAlexW2043053726

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.