Illuminating p53 function in cancer with genetically engineered mouse models

Patty B Garcia1, Laura D Attardi2

  • 1Division of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.

Insights

Genetically engineered mouse models reveal the tumor suppressor protein p53

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • The p53 protein is crucial for tumor suppression, as evidenced by its frequent mutation in human cancers.
  • p53-deficient mice exhibit a high predisposition to developing cancer.
  • Genetically engineered mouse models have been instrumental in understanding p53's multifaceted roles.

Purpose of the Study:

  • To elucidate the critical functions of p53 in tumor suppression using advanced mouse models.
  • To investigate the gain-of-function activities of tumor-derived p53 mutants.
  • To explore the regulatory mechanisms and therapeutic potential of p53.

Main Methods:

  • Generation and analysis of p53 knock-in mice expressing tumor-derived mutants.
  • Creation of p53 knock-in mutants with alterations in specific functional domains.
  • Development of mouse models with mutations in p53 post-translational modification sites.
  • Analysis of mouse models with perturbed upstream regulators of p53.
  • Utilizing switchable p53 models for therapeutic evaluation.

Main Results:

  • Tumor-derived p53 mutants exhibit gain-of-function activities promoting carcinogenesis.
  • Specific p53 domains and post-translational modifications are critical for tumor suppression.
  • The p53 pathway can be compromised through mechanisms beyond direct p53 mutation.
  • p53 reactivation in tumors shows potential for cancer treatment.

Conclusions:

  • Mouse models have significantly advanced the understanding of p53's physiological functions.
  • p53's role in tumor suppression is complex and involves various regulatory mechanisms.
  • Future research using mouse models will continue to yield biological and clinical insights into p53 and cancer.