Powered by OpenAIRE graph

Nf1 deletion and recurrent copy number alterations in mammary tumorigenesis

Nf1 deletion and recurrent copy number alterations in mammary tumorigenesis

Abstract

Breast cancer is the most prevalent cancer in women, and most cases are believed to have a sporadic, rather than heritable basis. Therefore, a major challenge in cancer research is to determine the underlying genomic alterations leading to carcinogenesis and malignancy, and then use this information for personalized therapies. Genomic studies of human cancers that aim to identify causative mutations are complicated by the prevalence of passenger mutations, genetic heterogeneity, and the diversity of breast cancer etiologies and tumor subtypes. Mouse cancer models are powerful for untangling the genomic basis of cancers because genetic and phenotypic variation can be eliminated or controlled. To identify genes contributing to mammary tumorigenesis, we exploited the C3H-Mcm4Chaos3/Chaos3 (“Chaos3”) mouse model that, by virtue of bearing a defective DNA replicative helicase subunit that causes elevated genomic instability (GIN), sustains somatic alterations ultimately causing mammary adenocarcinomas. Genomic analysis of Chaos3 mammary tumors revealed recurrent copy number alterations (CNAs) of specific genomic regions, most notably deletion of the Neurofibromin 1 (Nf1) tumor suppressor gene in all cases. NF1, a negative regulator of RAS, is traditionally recognized for its role in driving the development of neurofibromas in the context of the human disease Neurofibromitosis but not breast cancer. We observed elevated RAS activation and increased sensitivity of both Chaos3 and human Nf1-mutated breast cancer lines to MAPK and/or PI3K/AKT pathway inhibitors. We also found striking overlap between Chaos3 CNAs and human breast cancer CNA data curated in public genomic databases, including Nf1 deletion. Together, our results indicate that spontaneous NF1 loss can drive breast cancer and suggests a potential therapeutic strategy in that subset of patients. reference x sample

Keywords

Transcriptomics

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research