Evidence map›Paper›PMID 29487996›Full record

ReviewMammalian genome : official journal of the International Mammalian Genome Society2018

Genetic variation in sensitivity to estrogens and breast cancer risk.

D Joseph Jerry, James D Shull, Darryl L Hadsell, Monique Rijnkels, Karen A Dunphy, Sallie S Schneider, Laura N Vandenberg, Prabin Dhangada Majhi, Celia Byrne, Amy Trentham-Dietz

Abstract readReview
In one paragraph

Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Inter-Individual Variation in Response to Estrogen in Human Breast Explants.Journal of mammary gland biology and neoplasia · 2020
    Article
  10. Introduction to mammalian genome special issue: the combined role of genetics and environment relevant to human disease outcomes.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Article
  11. 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

10 authors at 6 institutions in 1 country.

D Joseph JerryDepartment of Veterinary & Animal Sciences, 661 North Pleasant Street, Integrated Life Sciences Building, Amherst, MA, 01003, USA. jjerrry@vasci.umass.edu.ORCID http://orcid.org/0000-0003-2443-0235
James D ShullDepartment of Oncology, McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, WI, 53705, USA.
Darryl L HadsellDepartment of Pediatrics, USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, 77030, USA.
Monique RijnkelsDepartment of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, 77843, USA.
Karen A DunphyDepartment of Veterinary & Animal Sciences, 661 North Pleasant Street, Integrated Life Sciences Building, Amherst, MA, 01003, USA.
Sallie S SchneiderPioneer Valley Life Sciences Institute, Baystate Medical Center, 3601 Main Street, Springfield, MA, 01199, USA.
Laura N VandenbergDepartment of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, 01003, USA.
Prabin Dhangada MajhiDepartment of Veterinary & Animal Sciences, 661 North Pleasant Street, Integrated Life Sciences Building, Amherst, MA, 01003, USA.
Celia ByrneDepartment of Preventive Medicine, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA.
Amy Trentham-DietzDepartment of Population Health Sciences and the Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Baystate Medical Center · USUniversity of Wisconsin–Madison · USBaylor College of Medicine · USTexas A&M University · USUniformed Services University of the Health Sciences · USUniversity of Massachusetts Amherst · US

Funding

Coordinating Center for the Breast Cancer and the Environment Research ProgramU01ES026127 · NIEHS · UNIVERSITY OF WISCONSIN-MADISON · PI TRENTHAM-DIETZ, AMY · 2015 to 2019
$4.7M
Impact of environmental metal/metalloid exposures on mammographic breast density, a marker of breast cancerU01ES026132 · NIEHS · GEORGETOWN UNIVERSITY · PI BYRNE, CELIA, MARTIN, MARYBETH · 2015 to 2019
$4.5M
GENETIC SUSCEPTIBILITY TO ESTROGEN INDUCED MAMMARY CAR01CA077876 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI SHULL, JAMES D · 1998 to 2012
$4.4M
Metabolomics Administrative Supplement: Disruption of parity-induced tumor suppressor pathways by xenoestrogen exposures during pregnancyU01ES026140 · NIEHS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI JERRY, D. JOSEPH, SCHNEIDER, SALLIE SMITH · 2015 to 2019
$3.7M
Characterization of Emca4, the Rat Ortholog of the 8q24 Breast Cancer Risk LocusR01CA204320 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI SHULL, JAMES D · 2017 to 2021
$2.1M
Agricultural Research Service 6250-51000-052Division of Cancer Epidemiology and Genetics, National Cancer Institute R01-CA77876NCI NIH HHS R01 CA077876NCI NIH HHS R01 CA204320NCI NIH HHS R01-CA204320NIEHS NIH HHS U01 ES026127NIEHS NIH HHS U01ES026127NIEHS NIH HHS U01 ES026132NIEHS NIH HHS U01ES026132NIEHS NIH HHS U01 ES026140NIEHS NIH HHS U01ES026140U.S. Department of Defense W81XWH-15-1-0217
6 · The paper itself

Abstract

Breast cancer risk is intimately intertwined with exposure to estrogens. While more than 160 breast cancer risk loci have been identified in humans, genetic interactions with estrogen exposure remain to be established. Strains of rodents exhibit striking differences in their responses to endogenous ovarian estrogens (primarily 17β-estradiol). Similar genetic variation has been observed for synthetic estrogen agonists (ethinyl estradiol) and environmental chemicals that mimic the actions of estrogens (xenoestrogens). This review of literature highlights the extent of variation in responses to estrogens among strains of rodents and compiles the genetic loci underlying pathogenic effects of excessive estrogen signaling. Genetic linkage studies have identified a total of the 35 quantitative trait loci (QTL) affecting responses to 17β-estradiol or diethylstilbestrol in five different tissues. However, the QTL appear to act in a tissue-specific manner with 9 QTL affecting the incidence or latency of mammary tumors induced by 17β-estradiol or diethylstilbestrol. Mammary gland development during puberty is also exquisitely sensitive to the actions of endogenous estrogens. Analysis of mammary ductal growth and branching in 43 strains of inbred mice identified 20 QTL. Regions in the human genome orthologous to the mammary development QTL harbor loci associated with breast cancer risk or mammographic density. The data demonstrate extensive genetic variation in regulation of estrogen signaling in rodent mammary tissues that alters susceptibility to tumors. Genetic variants in these pathways may identify a subset of women who are especially sensitive to either endogenous estrogens or environmental xenoestrogens and render them at increased risk of breast cancer.

Indexed as

AnimalsBreast NeoplasmsEstradiolEstrogensFemaleGenetic Predisposition to DiseaseGenetic VariationHumansMammary Glands, HumanMammary Neoplasms, AnimalMiceQuantitative Trait LociRisk FactorsEstradiolEstrogens

Identifiers

PMID29487996
PMCPMC5936622
OpenAlexW2790989595

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.