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Large-scale mutagenesis in p19(ARF)- and p53-deficient mice identifies cancer genes and their collaborative networks

Anthony G Uren1, Jaap Kool, Konstantin Matentzoglu

  • 1Division of Molecular Genetics and Cancer Genomics Centre, Netherlands Cancer Institute, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands.

Cell
|May 20, 2008
PubMed

Insights

This study identifies over 300 cancer-associated genes by screening for mutations collaborating with p53 or p19ARF tumor suppressors. The findings reveal complex genetic interactions and potential oncogenes/tumor suppressors across species.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • p53 and p19ARF are critical tumor suppressors frequently altered in human cancers.
  • Understanding collaborative genetic events is crucial for cancer research.

Purpose of the Study:

  • To identify genes and genetic interactions involved in tumorigenesis through a high-throughput screen.
  • To uncover novel cancer genes and pathways by analyzing mutations collaborating with p53 or p19ARF deficiency.

Main Methods:

  • A high-throughput retroviral insertion screen in mice was performed to identify collaborating mutations.
  • Analysis of 10,806 retroviral insertion sites implicated over 300 genetic loci in tumorigenesis.
  • Cross-species comparative analysis with human cancer cell line data was conducted.

Main Results:

  • Identified 20 genes specifically mutated in p53- or p19ARF-deficient or wild-type mice, including Flt3, mmu-mir-106a-363, Smg6, and Ccnd3.
  • Revealed networks of collaborative and mutually exclusive interactions between cancer genes.
  • Discovered candidate tumor suppressor genes and identified distinct insertion clusters in Flt3 and Notch1, leading to varied genetic interactions.
  • Cross-species analysis identified known and candidate human oncogenes (Mmp13, Slamf6, Rreb1) and tumor suppressors (Wwox, Arfrp2).

Conclusions:

  • The identified dataset provides a rich resource for studying genetic interactions in tumorigenesis.
  • This study highlights the complex interplay of genetic mutations in cancer development.
  • Findings offer insights into potential therapeutic targets and biomarkers for cancer treatment.

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