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Identification of oncogenes collaborating with p27Kip1 loss by insertional mutagenesis and high-throughput insertion

Harry C Hwang1, Carla P Martins, Yvon Bronkhorst

  • 1Division of Clinical Research and Human Biology, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA.

Insights

Loss of the p27(Kip1) protein accelerates lymphoma development. High-throughput sequencing identified novel oncogenes, including Jundp2 and Xpcl1, that collaborate with p27 loss in cancer.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • p27(Kip1) is a cyclin-dependent kinase inhibitor crucial for blocking cell division.
  • Reduced p27 expression is common in human cancers, and it acts as a tumor suppressor.
  • The precise mechanism of p27's tumor suppression function remains largely unknown.

Purpose of the Study:

  • To investigate the role of p27 loss in lymphomagenesis.
  • To identify oncogenes that cooperate with p27 loss in cancer development.
  • To understand the molecular mechanisms underlying p27-mediated tumor suppression.

Main Methods:

  • Lymphomas were induced in p27+/+ and p27-/- mice using Moloney murine leukemia virus.
  • High-throughput sequencing was employed to analyze 277 viral insertion sites in p27-/- lymphomas.
  • Viral insertion sites were mapped to the mouse genome using Celera and Ensembl databases.

Main Results:

  • Lymphomagenesis was significantly accelerated in p27-/- mice compared to p27+/+ controls.
  • Analysis revealed numerous putative protooncogenes, including novel and overrepresented loci in p27-/- tumors.
  • Frequent Myc activations were observed in p27-/- lymphomas. Insertions in Jun dimerization protein 2 (Jundp2) and Xpcl1 were identified as novel candidate oncogenes.

Conclusions:

  • The loss of p27(Kip1) collaborates with oncogene activation to promote lymphomagenesis.
  • Jundp2 and Xpcl1 represent novel candidate oncogenes that cooperate with p27 loss.
  • High-throughput insertion site analysis is a powerful tool for discovering cancer-associated genes.

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