Evidence map›Paper›PMID 22022542›Full record

ArticlePloS one2011

Quantification of epithelial cell differentiation in mammary glands and carcinomas from DMBA- and MNU-exposed rats.

Deepak Sharma, Bart M G Smits, Mark R Eichelberg, Amanda L Meilahn, Matthew J Muelbl, Jill D Haag, Michael N Gould

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Identification and functional analysis of Rattus norvegicus Mammary carcinoma susceptibility 1b (Mcs1b) nominated variants.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Psychosocial Stress Exposure Disrupts Mammary Gland Development.Journal of mammary gland biology and neoplasia · 2018
    Article
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  9. Article
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  11. Article
  12. N-Methyl-N-nitrosourea as a mammary carcinogenic agent.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Review
  13. Article
  14. Article
  15. 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

7 authors at 1 institution in 1 country.

Deepak SharmaMcArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Bart M G Smits
Mark R Eichelberg
Amanda L Meilahn
Matthew J Muelbl
Jill D Haag
Michael N Gould
University of Wisconsin–Madison · US

Funding

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
Characterizing a Breast Cancer Modifier Locus That Associates with Human RiskR01CA123272 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI GOULD, MICHAEL N · 2006 to 2010
$2.1M
NCI NIH HHS CA077494NCI NIH HHS CA123272NCI NIH HHS R01 CA077494NCI NIH HHS R01 CA123272NIEHS NIH HHS ES019466NIEHS NIH HHS U01 ES019466
6 · The paper itself

Abstract

Rat mammary carcinogenesis models have been used extensively to study breast cancer initiation, progression, prevention, and intervention. Nevertheless, quantitative molecular data on epithelial cell differentiation in mammary glands of untreated and carcinogen-exposed rats is limited. Here, we describe the characterization of rat mammary epithelial cells (RMECs) by multicolor flow cytometry using antibodies against cell surface proteins CD24, CD29, CD31, CD45, CD49f, CD61, Peanut Lectin, and Thy-1, intracellular proteins CK14, CK19, and FAK, along with phalloidin and Hoechst staining. We identified the luminal and basal/myoepithelial populations and actively dividing RMECs. In inbred rats susceptible to mammary carcinoma development, we quantified the changes in differentiation of the RMEC populations at 1, 2, and 4 weeks after exposure to mammary carcinogens DMBA and MNU. DMBA exposure did not alter the percentage of basal or luminal cells, but upregulated CD49f (Integrin α6) expression and increased cell cycle activity. MNU exposure resulted in a temporary disruption of the luminal/basal ratio and no CD49f upregulation. When comparing DMBA- or MNU-induced mammary carcinomas, the RMEC differentiation profiles are indistinguishable. The carcinomas compared with mammary glands from untreated rats, showed upregulation of CD29 (Integrin β1) and CD49f expression, increased FAK (focal adhesion kinase) activation especially in the CD29hi population, and decreased CD61 (Integrin β3) expression. This study provides quantitative insight into the protein expression phenotypes underlying RMEC differentiation. The results highlight distinct RMEC differentiation etiologies of DMBA and MNU exposure, while the resulting carcinomas have similar RMEC differentiation profiles. The methodology and data will enhance rat mammary carcinogenesis models in the study of the role of epithelial cell differentiation in breast cancer.

Indexed as

Cell Differentiation9,10-Dimethyl-1,2-benzanthraceneAnimalsAntigens, SurfaceBiomarkersCarcinomaCell DivisionCell MembraneCell ProliferationEpithelial CellsFemaleMammary Glands, AnimalMammary Neoplasms, ExperimentalMethylnitrosoureaModels, BiologicalRats9,10-Dimethyl-1,2-benzanthraceneAntigens, SurfaceBiomarkersMethylnitrosourea

Identifiers

PMID22022542
PMCPMC3192144
OpenAlexW2044576716

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.