Transposon Insertion Mutagenesis in Mice for Modeling Human Cancers: Critical Insights Gained and New Opportunities

Pauline J Beckmann1, David A Largaespada1,2,3,4

  • 1Department of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA.

Insights

Transposon mutagenesis in mice, using Sleeping Beauty and piggyBac systems, models human cancers. This approach reveals cancer genes, tumorigenesis mechanisms, metastasis, and therapy resistance, aiding personalized cancer treatments.

Area of Science:

  • * Oncology and genetics
  • * Cancer research and mouse models

Background:

  • * Transposon mutagenesis is a powerful tool for modeling human cancers in mice.
  • * Sleeping Beauty and piggyBac transposon systems have been widely used for this purpose.

Purpose of the Study:

  • * To review human cancers modeled in mice using Sleeping Beauty and piggyBac transposon insertion mutagenesis.
  • * To examine biological insights gained, focusing on metastasis, therapy resistance, and tumor cell of origin.
  • * To propose future research directions for transposon-based models.

Main Methods:

  • * Systematic review of studies utilizing Sleeping Beauty and piggyBac transposon mutagenesis in mouse cancer models.
  • * Analysis of identified cancer genes and tumorigenesis mechanisms.
  • * Focus on specific biological processes: metastasis, therapy resistance, and tumor origin.

Main Results:

  • * Over twenty types of human cancer have been successfully modeled in mice using these transposon systems.
  • * Significant biological insights into cancer progression, including metastasis and therapy resistance, have been obtained.
  • * Identification of novel cancer genes and understanding of tumorigenesis mechanisms.

Conclusions:

  • * Transposon-based mouse models are invaluable for cancer research, providing insights into complex biological processes.
  • * Future research should leverage these models to identify rare driver mutations, elucidate drug resistance mechanisms, and develop personalized therapies, particularly for patients with comorbidities like obesity.