Evidence map›Paper›PMID 27537370›Full record

ArticlePLoS genetics2016

The Non-coding Mammary Carcinoma Susceptibility Locus, Mcs5c, Regulates Pappa Expression via Age-Specific Chromatin Folding and Allele-Dependent DNA Methylation.

Amanda N Henning, Jill D Haag, Bart M G Smits, Michael N Gould

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Pan-Cancer Analysis ofBiology · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Mapping Mammary Tumor Traits in the Rat.Methods in molecular biology (Clifton, N.J.) · 2019
    Review
  9. 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

4 authors at 2 institutions in 1 country.

Amanda N HenningDepartment of Oncology, McArdle Laboratory for Cancer Research, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, United States of America.
Jill D HaagDepartment of Oncology, McArdle Laboratory for Cancer Research, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, United States of America.
Bart M G SmitsDepartment of Pathology and Laboratory Medicine, Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, United States of America.
Michael N GouldDepartment of Oncology, McArdle Laboratory for Cancer Research, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, United States of America.
University of Wisconsin–Madison · USMUSC Hollings Cancer Center · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007133 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI PERNA, NICOLE T · 1985 to 2023
$16.5M
WKY RAT GENETIC MODEL FOR BREAST CANCER SUSCEPTIBILITYR01CA077494 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI GOULD, MICHAEL N · 1998 to 2012
$3.7M
Genetics of Breast Cancer Risk at Windows of ExposureU01ES019466 · NIEHS · UNIVERSITY OF WISCONSIN-MADISON · PI GOULD, MICHAEL N · 2010 to 2014
$2.2M
NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA077494NIEHS NIH HHS U01 ES019466NIGMS NIH HHS T32 GM007133
6 · The paper itself

Abstract

In understanding the etiology of breast cancer, the contributions of both genetic and environmental risk factors are further complicated by the impact of breast developmental stage. Specifically, the time period ranging from childhood to young adulthood represents a critical developmental window in a woman's life when she is more susceptible to environmental hazards that may affect future breast cancer risk. Although the effects of environmental exposures during particular developmental Windows of Susceptibility (WOS) are well documented, the genetic mechanisms governing these interactions are largely unknown. Functional characterization of the Mammary Carcinoma Susceptibility 5c, Mcs5c, congenic rat model of breast cancer at various stages of mammary gland development was conducted to gain insight into the interplay between genetic risk factors and WOS. Using quantitative real-time PCR, chromosome conformation capture, and bisulfite pyrosequencing we have found that Mcs5c acts within the mammary gland to regulate expression of the neighboring gene Pappa during a critical mammary developmental time period in the rat, corresponding to the human young adult WOS. Pappa has been shown to positively regulate the IGF signaling pathway, which is required for proper mammary gland/breast development and is of increasing interest in breast cancer pathogenesis. Mcs5c-mediated regulation of Pappa appears to occur through age-dependent and mammary gland-specific chromatin looping, as well as genotype-dependent CpG island shore methylation. This represents, to our knowledge, the first insight into cellular mechanisms underlying the WOS phenomenon and demonstrates the influence developmental stage can have on risk locus functionality. Additionally, this work represents a novel model for further investigation into how environmental factors, together with genetic factors, modulate breast cancer risk in the context of breast developmental stage.

Indexed as

Genetic Predisposition to DiseaseAnimalsBreast NeoplasmsChromatinCpG IslandsDisease Models, AnimalDNA MethylationFemaleGene Expression Regulation, NeoplasticHumansMammary Glands, HumanMammary Neoplasms, ExperimentalQuantitative Trait LociRatsSignal TransductionSomatomedinsChromatinSomatomedins

Identifiers

PMID27537370
PMCPMC4990333
OpenAlexW2513267791

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.