Synergistic tumor suppressor activity of BRCA2 and p53 in a conditional mouse model for breast cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2001-12

AUTHORS

Jos Jonkers, Ralph Meuwissen, Hanneke van der Gulden, Hans Peterse, Martin van der Valk, Anton Berns

ABSTRACT

Inheritance of one defective BRCA2 allele predisposes humans to breast cancer. To establish a mouse model for BRCA2-associated breast cancer, we generated mouse conditional mutants with BRCA2 and/or p53 inactivated in various epithelial tissues, including mammary-gland epithelium. Although no tumors arose in mice carrying conditional Brca2 alleles, mammary and skin tumors developed frequently in females carrying conditional Brca2 and Trp53 alleles. The presence of one wildtype Brca2 allele resulted in a markedly delayed tumor formation; loss of the wildtype Brca2 allele occurred in a subset of these tumors. Our results show that inactivation of BRCA2 and of p53 combine to mediate mammary tumorigenesis, and indicate that disruption of the p53 pathway is pivotal in BRCA2-associated breast cancer. More... »

PAGES

418-425

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ng747

DOI

http://dx.doi.org/10.1038/ng747

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1041030245

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/11694875


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/ng747'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/ng747'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ng747'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ng747'


 

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