Novel genetically engineered mouse models for clear cell renal cell carcinoma

Johannes C van der Mijn1,2, Kristian B Laursen1,3,4, Leiping Fu1

  • 1Department of Pharmacology, New York Presbyterian Hospital, Weill Cornell Medicine, 1300 York Ave, New York, NY, 10065, USA.

Scientific Reports
|May 22, 2023
PubMed

Insights

Researchers developed two genetically engineered mouse models (GEMMs) to study chromosome 3p deletions in kidney cancer. The models use CRISPR-Cas9 to target key genes, providing a new tool for cancer research and therapy development.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Clear cell renal cell carcinoma (ccRCC) frequently exhibits chromosome 3p deletions.
  • Genetically engineered mouse models (GEMMs) are crucial for studying cancer gene function and developing therapies.
  • Existing models do not fully recapitulate the extensive 3p deletions seen in human ccRCC.

Purpose of the Study:

  • To develop novel GEMMs that model the frequent chromosome 3p deletion in ccRCC.
  • To investigate the efficacy of inducible CRISPR-Cas9 systems for gene editing in kidney cancer models.
  • To establish spatiotemporally controlled mouse models for studying tumor suppressor gene inactivation in ccRCC.

Main Methods:

  • Development of two inducible CRISPR-Cas9 based GEMMs (BPS-TA and BPS-Cre).
  • Targeting of Bap1, Pbrm1, and Setd2 tumor suppressor genes using paired or single guide RNAs.
  • Utilized tetracycline-responsive elements (TRE3G) and Cre-lox systems for inducible gene editing in specific kidney cell populations.

Main Results:

  • The BPS-TA model showed low frequencies of somatic mutations in Bap1 and Pbrm1, with no detectable tissue transformation.
  • RNAseq analysis of BPS-TA kidneys revealed activation of DNA damage and immune response pathways.
  • The BPS-Cre model demonstrated increased gene-editing frequencies for Pbrm1 and extensive editing of Setd2, unlike the BPS-TA model.

Conclusions:

  • This study reports the first GEMMs modeling extensive chromosome 3p deletions relevant to kidney cancer.
  • The developed models offer spatiotemporal control over gene editing for studying ccRCC pathogenesis.
  • Further studies are needed to model more comprehensive 3p deletions and enhance cellular resolution for precise gene inactivation effects.