Evidence map›Paper›PMID 26987530›Full record

ReviewAdvances in experimental medicine and biology2016

Epigenetic Biomarkers of Breast Cancer Risk: Across the Breast Cancer Prevention Continuum.

Mary Beth Terry, Jasmine A McDonald, Hui Chen Wu, Sybil Eng, Regina M Santella

Abstract readReview
In one paragraph

Review in Advances in experimental medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. PALTEM: What Parameters Should Be Collected in Disaster Settings to Assess the Long-Term Outcomes of Famine?International journal of environmental research and public health · 2018
    Review
  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

5 authors.

Mary Beth TerryDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA. mt146@columbia.edu.
Jasmine A McDonaldDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Hui Chen WuDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Sybil EngDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Regina M SantellaHerbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
NIEHS NIH HHS P30 ES009089
6 · The paper itself

Abstract

Epigenetic biomarkers, such as DNA methylation, can increase cancer risk through altering gene expression. The Cancer Genome Atlas (TCGA) Network has demonstrated breast cancer-specific DNA methylation signatures. DNA methylation signatures measured at the time of diagnosis may prove important for treatment options and in predicting disease-free and overall survival (tertiary prevention). DNA methylation measurement in cell free DNA may also be useful in improving early detection by measuring tumor DNA released into the blood (secondary prevention). Most evidence evaluating the use of DNA methylation markers in tertiary and secondary prevention efforts for breast cancer comes from studies that are cross-sectional or retrospective with limited corresponding epidemiologic data, raising concerns about temporality. Few prospective studies exist that are large enough to address whether DNA methylation markers add to the prediction of tertiary and secondary outcomes over and beyond standard clinical measures. Determining the role of epigenetic biomarkers in primary prevention can help in identifying modifiable pathways for targeting interventions and reducing disease incidence. The potential is great for DNA methylation markers to improve cancer outcomes across the prevention continuum. Large, prospective epidemiological studies will provide essential evidence of the overall utility of adding these markers to primary prevention efforts, screening, and clinical care.

Indexed as

DNA MethylationEpigenesis, GeneticAnimalsBiomarkers, TumorBreast NeoplasmsDisease-Free SurvivalDisease ProgressionEarly Detection of CancerFemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenetic TestingHumansNeoplasm Recurrence, LocalPhenotypePredictive Value of TestsBiomarkers, TumorBiomarkerBreast cancerBreast tissuesDNA methylationPlasmaPreventionPrognosisRecurrenceSerumSurvival

Identifiers

PMID26987530
PMCPMC5305320

What OpenQuestion holds

Textmetadata
LicenceTDM
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.