Literature DB >> 21963848

Myc, Aurora Kinase A, and mutant p53(R172H) co-operate in a mouse model of metastatic skin carcinoma.

E C Torchia1, C Caulin, S Acin, T Terzian, B J Kubick, N F Box, D R Roop.   

Abstract

Clinical observations, as well as data obtained from the analysis of genetically engineered mouse models, firmly established the gain-of-function (GOF) properties of certain p53 mutations. However, little is known about the underlying mechanisms. We have used two independent microarray platforms to perform a comprehensive and global analysis of tumors arising in a model of metastatic skin cancer progression, which compares the consequences of a GOF p53(R172H) mutant vs p53 deficiency. DNA profiling revealed a higher level of genomic instability in GOF vs loss-of-function (LOF) p53 squamous cell carcinomas (SCCs). Moreover, GOF p53 SCCs showed preferential amplification of Myc with a corresponding increase in its expression and deregulation of Aurora Kinase A. Fluorescent in situ hybridization confirmed amplification of Myc in primary GOF p53 SCCs and its retention in metastatic tumors. We also identified by RNA profiling distinct gene expression profiles in GOF p53 tumors, which included enriched integrin and Rho signaling, independent of tumor stage. Thus, the progression of GOF p53 papillomas to carcinoma was marked by the acquisition of epithelial-to-mesenchymal transition and metastatic signatures. In contrast, LOF p53 tumors showed enrichment of genes associated with cancer proliferation and chromosomal instability. Collectively, these observations suggest that genomic instability has a prominent role in the early stages of GOF p53 tumor progression (that is, papillomas), whereas it is implicated at a later stage in LOF p53 tumors (that is, SCCs). This model will allow us to identify specific targets in mutant p53 SCCs, which may lead to the development of new therapeutic agents for the treatment of metastatic SCCs.

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Year:  2011        PMID: 21963848      PMCID: PMC4576849          DOI: 10.1038/onc.2011.441

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  71 in total

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  12 in total

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Journal:  Oncogene       Date:  2014-01-27       Impact factor: 9.867

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