Evidence map›Paper›PMID 18772892›Full record

ReviewNature reviews. Cancer2008

Can genes for mammographic density inform cancer aetiology?

Linda E Kelemen, Thomas A Sellers, Celine M Vachon

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Cancer, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01160510 (Genetics of Mammographic Appearances and Patterns), which is not on this map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
12.4field-weighted citation impact, top 1% 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.

NCT01160510 completednot on this mapstarted 2010, after this paper: background citation

Genetics of Mammographic Appearances and Patterns (The GenMap Study)

TypeobservationalSponsorNational Cancer Institute (NCI)Ran2010 to 2020Enrolled106ConditionsBenign Breast Disease
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. New genetic variants improve personalized breast cancer diagnosis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014
    Article
  10. Emerging Concepts in Breast Cancer Risk Prediction.Current obstetrics and gynecology reports · 2013
    Article
  11. Genetic variants improve breast cancer risk prediction on mammograms.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013
    Article
  12. Article
  13. Article
  14. Estrogen metabolism and mammographic density in postmenopausal women: a cross-sectional study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2012
    Article
  15. Article
  16. Article
  17. Clinical and epidemiological issues in mammographic density.Nature reviews. Clinical oncology · 2011
    Review
  18. Article
  19. Article
  20. Breast tissue composition and susceptibility to breast cancer.Journal of the National Cancer Institute · 2010
    Review
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

3 authors at 2 institutions in 1 country.

Linda E KelemenDepartment of Population Health Research, Alberta Cancer Board, 1,331 29th Street North West, Calgary, Alberta T2N 4N2, Canada.
Thomas A Sellers
Celine M Vachon
Mayo Clinic · USMoffitt Cancer Center · US

Funding

The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9M
A Mayo Cohort Study of Mammographic Breast DensityR01CA097396 · NCI · MAYO CLINIC ROCHESTER · PI VACHON, CELINE M · 2003 to 2007
$3.1M
Identifying Genes for Mammographic Breast DensityR01CA128931 · NCI · MAYO CLINIC ROCHESTER · PI VACHON, CELINE M · 2008 to 2012
$2.7M
NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA097396NCI NIH HHS R01 CA128931NCI NIH HHS R01 CA97396
6 · The paper itself

Abstract

Mammographic density (MD) reflects variations in fat, stromal and epithelial tissues that are thought to be regulated by several genes. High MD is an established risk factor for breast cancer; therefore, genes that regulate MD may indirectly influence breast cancer. These genes might also be fewer in number and easier to identify than those for breast cancer risk outside of inherited predisposition syndromes. In this Perspective, we review the limited genetic studies of MD and propose future directions.

Indexed as

Polymorphism, GeneticBiomarkers, TumorBreast NeoplasmsCatechol O-MethyltransferaseEstrogen Receptor alphaFemaleGenetic Predisposition to DiseaseHumansInsulin-Like Growth Factor IMammographyBiomarkers, TumorCatechol O-MethyltransferaseESR1 protein, humanEstrogen Receptor alphaInsulin-Like Growth Factor I

Identifiers

PMID18772892
PMCPMC2818036
OpenAlexW2058959360

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.