CRISPR/Cas9 model of prostate cancer identifies Kmt2c deficiency as a metastatic driver by Odam/Cabs1 gene cluster

Huiqiang Cai1, Bin Zhang2,3, Johanne Ahrenfeldt4,5

  • 1Department of Biomedicine, Aarhus University, Aarhus, Denmark.

Nature Communications
|March 7, 2024
PubMed

Insights

Targeting tumor suppressor genes and epigenetic factors in mice revealed key interactions driving metastatic prostate cancer (PCa) progression. Gene expression signatures from this study predict patient survival and distinguish primary from metastatic PCa.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Metastatic prostate cancer (PCa) presents a major therapeutic challenge due to high mortality rates.
  • Understanding the genetic and epigenetic drivers of PCa metastasis is crucial for developing effective treatments.

Purpose of the Study:

  • To investigate the role of specific tumor suppressor genes and epigenetic factors in prostate cancer metastasis using a mouse model.
  • To identify genetic interactions that influence metastatic progression and to explore their potential as therapeutic targets.

Main Methods:

  • CRISPR-Cas9 gene editing was employed in vivo to target tumor suppressor genes (Pten, Trp53, Rb1, Stk11, RnaseL) and epigenetic factors (Kmt2c, Kmt2d, Zbtb16) in mouse prostate.
  • Whole genome sequencing and RNA sequencing were performed to analyze mutational landscapes and gene expression changes.
  • Depletion of specific genes in a conserved genomic region (chr5qE1) was assessed for its effect on metastasis.

Main Results:

  • Depletion of tumor suppressor genes alone did not result in metastasis within eight weeks.
  • Simultaneous depletion of epigenetic factors led to the presence of lung metastases in all mice.
  • RNA sequencing revealed significant gene dysregulation, particularly in the chr5qE1 region regulated by KMT2C, where Odam and Cabs1 depletion prevented metastasis.
  • Gene expression signatures correlated with progression-free and overall survival and differentiated primary from metastatic human prostate cancer.

Conclusions:

  • Classical tumor suppressor genes and epigenetic modulators exhibit positive genetic interactions that promote metastatic prostate cancer progression.
  • The identified gene expression signatures can serve as prognostic biomarkers for PCa.
  • Targeting specific genes within the chr5qE1 region presents a potential therapeutic strategy for inhibiting PCa metastasis.