Dynamic role of the codon 72 p53 single-nucleotide polymorphism in mammary tumorigenesis in a humanized mouse model View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01-16

AUTHORS

Ramesh T. Gunaratna, Andres Santos, Linjie Luo, Chandandeep Nagi, Isabel Lambertz, Madison Spier, Claudio J. Conti, Robin S. Fuchs-Young

ABSTRACT

Female breast cancer (BrCa) is the most common noncutaneous cancer among women in the United States. Human epidemiological studies reveal that a p53 single-nucleotide polymorphism (SNP) at codon 72, encoding proline (P72) or arginine (R72), is associated with differential risk of several cancers, including BrCa. However, the molecular mechanisms by which these variants affect mammary tumorigenesis remain unresolved. To investigate the effects of this polymorphism on susceptibility to mammary cancer, we used a humanized p53 mouse model, homozygous for either P72 or R72. Our studies revealed that R72 mice had a significantly higher mammary tumor incidence and reduced latency in both DMBA-induced and MMTV-Erbb2/Neu mouse mammary tumor models compared to P72 mice. Analyses showed that susceptible mammary glands from E-R72 (R72 x MMTV-Erbb2/Neu) mice developed a senescence-associated secretory phenotype (SASP) with influx of proinflammatory macrophages, ultimately resulting in chronic, protumorigenic inflammation. Mammary tumors arising in E-R72 mice also had an increased influx of tumor-associated macrophages, contributing to angiogenesis and elevated tumor growth rates. These results demonstrate that the p53 R72 variant increased susceptibility to mammary tumorigenesis through chronic inflammation. More... »

PAGES

1-16

References to SciGraph publications

  • 2011-09. P53 gene polymorphisms and breast cancer risk in Arab women in MEDICAL ONCOLOGY
  • 2010-04. P53 codon 72 polymorphism contributes to breast cancer risk: a meta-analysis based on 39 case–control studies in BREAST CANCER RESEARCH AND TREATMENT
  • 2012-07. Fiji: an open-source platform for biological-image analysis in NATURE METHODS
  • 2011-01. Cytokines induce small intestine and liver injury after renal ischemia or nephrectomy in LABORATORY INVESTIGATION
  • 2010-12. R72P Polymorphism of TP53 in Ulcerative Colitis Patients is Associated with the Incidence of Colectomy, Use of Steroids and the Presence of a Positive Family History in PATHOLOGY & ONCOLOGY RESEARCH
  • 2003-03. The codon 72 polymorphic variants of p53 have markedly different apoptotic potential in NATURE GENETICS
  • 2002-10. Association of p53 codon 72 polymorphism with advanced lung cancer: the Arg allele is preferentially retained in tumours arising in Arg/Pro germline heterozygotes in BRITISH JOURNAL OF CANCER
  • 2006-06. Trp53-dependent DNA-repair is affected by the codon 72 polymorphism in ONCOGENE
  • 2014-05. Unravelling mechanisms of p53-mediated tumour suppression in NATURE REVIEWS CANCER
  • 2018-07. Tumor-associated macrophages and crown-like structures in adipose tissue in breast cancer in BREAST CANCER RESEARCH AND TREATMENT
  • 2006-08. Plasminogen activator inhibitor-1 is a critical downstream target of p53 in the induction of replicative senescence in NATURE CELL BIOLOGY
  • 2013-08. A complex secretory program orchestrated by the inflammasome controls paracrine senescence in NATURE CELL BIOLOGY
  • 2007-09. Angiogenesis and chronic inflammation: cause or consequence? in ANGIOGENESIS
  • 2012-09-23. Comprehensive molecular portraits of human breast tumours in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41388-018-0630-4

    DOI

    http://dx.doi.org/10.1038/s41388-018-0630-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111431716

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30651598


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