WRN inhibition leads to its chromatin-associated degradation via the PIAS4-RNF4-p97/VCP axis

Fernando Rodríguez Pérez1, Dean Natwick2, Lauren Schiff2

  • 1Eikon Therapeutics, Hayward, CA, 94545, USA. perezf@eikontx.com.

Nature Communications
|July 18, 2024
PubMed

Insights

Synthetic lethality targets cancer cells dependent on Werner (WRN) helicase. Inhibiting WRN and SUMOylation shows additive toxicity in microsatellite instability-high (MSI-H) cancers, revealing new therapeutic strategies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biochemistry

Background:

  • Synthetic lethality is a promising cancer therapy strategy.
  • Microsatellite instability-high (MSI-H) cancers rely on Werner (WRN) helicase for survival.
  • Mechanisms regulating WRN spatiotemporal dynamics are not well understood.

Purpose of the Study:

  • To investigate WRN dynamics in living cancer cells using single-molecule tracking (SMT).
  • To identify regulatory pathways of WRN degradation.
  • To explore therapeutic strategies targeting WRN in MSI-H cancers.

Main Methods:

  • Single-molecule tracking (SMT) in living cancer cells.
  • Utilized a WRN inhibitor and phenotypic screening.
  • Investigated WRN degradation pathways, including p97/VCP and the PIAS4-RNF4 axis.
  • Co-inhibition of WRN and SUMOylation.
  • In vivo studies using an MSI-H mouse xenograft model.

Main Results:

  • WRN inhibition traps WRN on chromatin, necessitating p97/VCP for extraction and proteasomal degradation in an MSI-H dependent manner.
  • The PIAS4-RNF4 axis was identified as the pathway responsible for WRN degradation.
  • Co-inhibition of WRN and SUMOylation demonstrated an additive toxic effect in MSI-H cells.
  • Confirmed in vivo efficacy of WRN inhibition in an MSI-H mouse xenograft model.

Conclusions:

  • Elucidated a regulatory mechanism for WRN spatiotemporal dynamics.
  • Identified the PIAS4-RNF4 axis as crucial for WRN degradation.
  • Demonstrated the therapeutic potential of combined WRN and SUMOylation inhibition in MSI-H cancers.
  • Highlighted SMT as a valuable tool for drug discovery and mechanism-of-action studies.

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