Synthetic gene circuits that selectively target RAS-driven cancers

Gabriel Valentin Senn1, Leon Nissen1, Yaakov Benenson1

  • 1Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.

Elife
|February 24, 2026
PubMed

Insights

Synthetic gene circuits precisely target mutated rat sarcoma (RAS) oncogenes in cancer cells. This novel approach enhances selectivity and therapeutic protein expression for improved cancer treatment.

Area of Science:

  • Oncology
  • Synthetic Biology
  • Molecular Biology

Background:

  • Mutated rat sarcoma (RAS) is a prevalent oncogene in human cancers, driving tumor growth.
  • Current RAS inhibitors have limitations, including specificity for KRASG12C mutations and acquired resistance.
  • Synthetic gene circuits offer a potential strategy for targeted cancer therapy by sensing and responding to cancer-specific signals.

Purpose of the Study:

  • To develop highly selective synthetic gene circuits for targeting mutated RAS oncogenes.
  • To engineer gene circuits that can integrate multiple RAS mutation signals for enhanced specificity.
  • To demonstrate the therapeutic potential of these circuits in RAS-driven cancers.

Main Methods:

  • Designed and implemented modular synthetic gene circuits incorporating multiple RAS sensors.
  • Utilized computational modeling to optimize circuit component interactions and output expression.
  • Adapted circuits for cell-line-specific performance to maximize selectivity and fine-tune expression.
  • Linked circuits to the expression of a therapeutic protein for cancer cell killing.

Main Results:

  • Achieved unprecedented selectivity in expressing output proteins in cells with mutated RAS.
  • Demonstrated successful targeting of various RAS-driven cancer cell lines.
  • Validated the therapeutic potential by inducing robust killing of cancer cells with mutated RAS.
  • Showcased cell-line-specific adaptation for optimized circuit performance.

Conclusions:

  • Synthetic gene circuits represent a promising novel therapeutic strategy for RAS-driven cancers.
  • Combining multiple RAS sensors significantly enhances cancer cell selectivity.
  • This approach advances the application of synthetic biology in oncology for targeted cancer therapies.

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