Synthetic gene circuits that selectively target RAS-driven cancers
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Abstract
Therapies targeting mutated rat sarcoma (RAS), the most frequently mutated oncogene in human cancers, could benefit millions of patients. Recently approved RAS inhibitors represent a breakthrough but are limited to a specific KRAS G12C mutation and prone to resistance. Synthetic gene circuits offer a promising alternative by sensing and integrating cancer-specific biomolecular inputs, including mutated RAS, to selectively express therapeutic proteins in cancer cells. A key challenge for these circuits is achieving high cancer selectivity to prevent toxicity in healthy cells. To address this challenge, we present a novel approach combining multiple RAS sensors into RAS-targeting gene circuits, which allowed us to express an output protein in cells with mutated RAS with unprecedented selectivity. We implemented a modular design strategy and modeled the impact of individual circuit components on output expression. This enabled cell-line-specific adaptation of the circuits to optimize selectivity and fine-tune expression. We further demonstrate the targeting capabilities of the circuits by employing them in different RAS-driven cancer cells and provide evidence for their therapeutic potential by linking them to the expression of a clinically relevant output protein, which induced robust killing of cancer cells with mutated RAS. This work highlights the potential of synthetic gene circuits as a novel therapeutic strategy for RAS-driven cancers, advancing the application of synthetic biology in oncology.
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Cites
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“Off-target effects could be minimized by including NOT-gates with inputs associated with healthy cells, such as existing p53 sensors ( Shapira et al., 2021 ; Zhan et al., 2018 ) or new sensors specific for healthy cells with high RAS activation ( von Lintig et al., 2000 ; Guha et al., 1997 ).”
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- Authors
- Senn, G. V., Nissen, L., & Benenson, Y.
- Affiliations
- ETH Zurich (CH)
- Corresponding author
- Benenson, Yaakov
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2026-02-24
- Volume
- 14
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC12931925
- OpenAlex
- W4407410347
- Cited by
- 2
- References
- 6
- Citations by year
- 2026: 2
- Type
- posted content
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Center of Competence in Research - Molecular Systems Engineering
- ETH Zurich (Core Funding)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biotechnology › Cancer Research and Treatments
- Keywords
- synthetic gene circuits, RAS mutations, RAS-driven cancers, circuit design, circuit modeling, cancer therapy
- MeSH terms
- Animals, Genes, Synthetic, Humans, Mutation, Neoplasms, ras Proteins, Cell Line, Tumor, Rats, Gene Regulatory Networks, Synthetic Biology
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