Evidence map›Paper›PMID 26629527›Full record

ArticleEBioMedicine2015

A Mouse Model That Reproduces the Developmental Pathways and Site Specificity of the Cancers Associated With the Human BRCA1 Mutation Carrier State.

Ying Liu, Hai-Yun Yen, Theresa Austria, Jonas Pettersson, Janos Peti-Peterdi, Robert Maxson, Martin Widschwendter, Louis Dubeau

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Targeting progesterone signaling prevents metastatic ovarian cancer.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  4. Article
  5. Review
  6. Responsiveness ofCancer prevention research (Philadelphia, Pa.) · 2017
    Article
  7. Pathogenesis and heterogeneity of ovarian cancer.Current opinion in obstetrics & gynecology · 2017
    Review
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Ying LiuDepartment of Pathology, Keck School of Medicine of University of Southern California, Los Angeles, CA 90089, United States.
Hai-Yun YenDepartment of Biochemistry and Molecular Biology, Keck School of Medicine of University of Southern California, Los Angeles, CA 90089, United States.
Theresa AustriaDepartment of Pathology, Keck School of Medicine of University of Southern California, Los Angeles, CA 90089, United States.
Jonas PetterssonDepartment of Pathology, Keck School of Medicine of University of Southern California, Los Angeles, CA 90089, United States.
Janos Peti-PeterdiDepartment of Physiology and Biophysics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90089, United States.
Robert MaxsonDepartment of Biochemistry and Molecular Biology, Keck School of Medicine of University of Southern California, Los Angeles, CA 90089, United States.
Martin WidschwendterDepartment of Women's Cancer, University College London, London, UK.
Louis DubeauDepartment of Pathology, Keck School of Medicine of University of Southern California, Los Angeles, CA 90089, United States.
University of Southern California · USUniversity College London · GB

Funding

Role of the Mullerian Tract in Ovarian Cancer DevelopmentR01CA133117 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DUBEAU, LOUIS · 2009 to 2013
$1.7M
CELL NON-AUTONOMOUS MODE OF TUMOR SUPPRESSION BY BRCA1R01CA119078 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DUBEAU, LOUIS · 2006 to 2009
$906k
NCI NIH HHS R01 CA119078NCI NIH HHS R01 CA133117
6 · The paper itself

Abstract

Predisposition to breast and extrauterine Müllerian carcinomas in BRCA1 mutation carriers is due to a combination of cell-autonomous consequences of BRCA1 inactivation on cell cycle homeostasis superimposed on cell-nonautonomous hormonal factors magnified by the effects of BRCA1 mutations on hormonal changes associated with the menstrual cycle. We used the Müllerian inhibiting substance type 2 receptor (Mis2r) promoter and a truncated form of the Follicle stimulating hormone receptor (Fshr) promoter to introduce conditional knockouts of Brca1 and p53 not only in mouse mammary and Müllerian epithelia, but also in organs that control the estrous cycle. Sixty percent of the double mutant mice developed invasive Müllerian and mammary carcinomas. Mice carrying heterozygous mutations in Brca1 and p53 also developed invasive tumors, albeit at a lesser (30%) rate, in which the wild type alleles were no longer present due to loss of heterozygosity. While mice carrying heterozygous mutations in both genes developed mammary tumors, none of the mice carrying only a heterozygous p53 mutation developed such tumors (P < 0.0001), attesting to a role for Brca1 mutations in tumor development. This mouse model is attractive to investigate cell-nonautonomous mechanisms associated with cancer predisposition in BRCA1 mutation carriers and to investigate the merit of chemo-preventive drugs targeting such mechanisms.

Indexed as

Genes, BRCA1HeterozygoteMutationSignal TransductionAllelesAnimalsCell Transformation, NeoplasticDisease Models, AnimalErb-b2 Receptor Tyrosine KinasesFemaleGene ExpressionGene Knockout TechniquesGenotypeGerm-Line MutationHumansLoss of Heterozygosityanti-Mullerian hormone receptorErb-b2 Receptor Tyrosine KinasesReceptors, FSHReceptors, PeptideReceptors, Transforming Growth Factor betaTumor Suppressor Protein p53Brca1Cell non-autonomous mechanism of cancer predispositionFamilial cancer predispositionMouse model of breast and ovarian cancerMüllerian inhibiting substance

Identifiers

PMID26629527
PMCPMC4634618
OpenAlexW2165163024

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.