Evidence map›Paper›PMID 24651077›Full record

ArticlePloS one2014

Tissue specific DNA methylation in normal human breast epithelium and in breast cancer.

Ayelet Avraham, Sean Soonweng Cho, Ronit Uhlmann, Mia Leonov Polak, Judith Sandbank, Tami Karni, Itzhak Pappo, Ruvit Halperin, Zvi Vaknin, Avishay Sella and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Disease prediction by cell-free DNA methylation.Briefings in bioinformatics · 2019
    Review
  15. Article
  16. Silencing of ATP4B of ATPase HOncology research · 2017
    Article
  17. Article
  18. Article
  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

12 authors at 4 institutions in 2 countries.

Ayelet AvrahamDepartment of Oncology, Assaf Harofeh Medical Center, Affiliated with Tel Aviv University, Zerifin, Israel.
Sean Soonweng ChoDepartment of Oncology, Johns Hopkins University, School of Medicine, Baltimore, Maryland, United States of America.
Ronit UhlmannDepartment of Oncology, Assaf Harofeh Medical Center, Affiliated with Tel Aviv University, Zerifin, Israel.
Mia Leonov PolakDepartment of Pathology, Assaf Harofeh Medical Center, Affiliated with Tel Aviv University, Zerifin, Israel.
Judith SandbankDepartment of Pathology, Assaf Harofeh Medical Center, Affiliated with Tel Aviv University, Zerifin, Israel.
Tami KarniDepartment of Surgery, Assaf Harofeh Medical Center, Affiliated with Tel Aviv University, Zerifin, Israel.
Itzhak PappoDepartment of Surgery, Assaf Harofeh Medical Center, Affiliated with Tel Aviv University, Zerifin, Israel.
Ruvit HalperinDepartment of Genecology, Assaf Harofeh Medical Center, Affiliated with Tel Aviv University, Zerifin, Israel.
Zvi VakninDepartment of Genecology, Assaf Harofeh Medical Center, Affiliated with Tel Aviv University, Zerifin, Israel.
Avishay SellaDepartment of Oncology, Assaf Harofeh Medical Center, Affiliated with Tel Aviv University, Zerifin, Israel.
Saraswati SukumarDepartment of Oncology, Johns Hopkins University, School of Medicine, Baltimore, Maryland, United States of America.
Ella EvronDepartment of Oncology, Assaf Harofeh Medical Center, Affiliated with Tel Aviv University, Zerifin, Israel.
Tel Aviv University · ILAssaf Harofeh Medical Center · ILJohns Hopkins Medicine · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a heterogeneous and tissue-specific disease. Thus, the tissue of origin reflects on the natural history of the disease and dictates the therapeutic approach. It is suggested that tissue differentiation, mediated mostly by epigenetic modifications, could guide tissue-specific susceptibility and protective mechanisms against cancer. Here we studied breast specific methylation in purified normal epithelium and its reflection in breast cancers. We established genome wide methylation profiles of various normal epithelial tissues and identified 110 genes that were differentially methylated in normal breast epithelium. A number of these genes also showed methylation alterations in breast cancers. We elaborated on one of them, TRIM29 (ATDC), and showed that its promoter was hypo-methylated in normal breast epithelium and heavily methylated in other normal epithelial tissues. Moreover, in breast carcinomas methylation increased and expression decreased whereas the reverse was noted for multiple other carcinomas. Interestingly, TRIM29 regulation in breast tumors clustered according to the PAM50 classification. Thus, it was repressed in the estrogen receptor positive tumors, particularly in the more proliferative luminal B subtype. This goes in line with previous reports indicating tumor suppressive activity of TRIM29 in estrogen receptor positive luminal breast cells in contrast to oncogenic function in pancreatic and lung cancers. Overall, these findings emphasize the linkage between breast specific epigenetic regulation and tissue specificity of cancer.

Indexed as

BreastBreast NeoplasmsDNA-Binding ProteinsDNA MethylationEpigenesis, GeneticEpitheliumFemaleGene Expression Regulation, NeoplasticGenome, HumanHumansOrgan SpecificityPromoter Regions, GeneticTranscription FactorsDNA-Binding ProteinsTranscription FactorsTRIM29 protein, human

Identifiers

PMID24651077
PMCPMC3961270
OpenAlexW2003289983

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.