Citation
Lu, Andrew C. (2025) Engineered Protein Circuits for Cancer Therapy. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/kxvr-r291. https://resolver.caltech.edu/CaltechTHESIS:06092025-211524859
Abstract
Engineered protein circuits seek to treat cancer by directly rewiring oncogenic signaling to cell death. However, it has remained unclear what circuit designs could operate effectively, and what advantages protein circuits could provide compared to existing small molecule inhibitors. Here, we introduce Ras-targeting circuits that accurately discriminate and kill Ras-mutant cells, circumventing drug resistance mechanisms and suppressing cancer in vivo. These circuits combine three modules: a protease-based sensor that responds to a broad spectrum of clinically relevant Ras mutations, an optional protease amplifier, and protease-triggered cell death effectors of the apoptosis and pyroptosis cell death pathways. When delivered as mRNA in lipid nanoparticles (LNPs), the circuits were effective against Ras-mutant human cancer cell lines with minimal off-target killing of wild-type Ras cells. In immunocompetent mice bearing aggressive, multifocal Ras-driven liver tumors, systemically delivered mRNA-LNP circuits strongly reduced tumor burden. Further, therapeutic circuits provided more complete killing of Ras-mutant cancer cells than the Ras inhibitors Sotorasib and RMC-7977 and did not require oncogene addiction. They also exhibited increased potency against Sotorasib-resistant cells. These results establish a programmable mechanism for treating cancer and other human diseases.
Item Type: | Thesis (Dissertation (Ph.D.)) | ||||||
---|---|---|---|---|---|---|---|
Subject Keywords: | Synthetic Biology, Cancer Biology | ||||||
Degree Grantor: | California Institute of Technology | ||||||
Division: | Biology and Biological Engineering | ||||||
Major Option: | Systems Biology | ||||||
Minor Option: | Biological Engineering | ||||||
Awards: | Caltech Y Gunilla Hastrup Adventure Award, 2023. | ||||||
Thesis Availability: | Public (worldwide access) | ||||||
Research Advisor(s): |
| ||||||
Thesis Committee: |
| ||||||
Defense Date: | 6 June 2025 | ||||||
Non-Caltech Author Email: | andrew.lu.chun (AT) gmail.com | ||||||
Funders: |
| ||||||
Record Number: | CaltechTHESIS:06092025-211524859 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechTHESIS:06092025-211524859 | ||||||
DOI: | 10.7907/kxvr-r291 | ||||||
Related URLs: |
| ||||||
ORCID: |
| ||||||
Default Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 17435 | ||||||
Collection: | CaltechTHESIS | ||||||
Deposited By: | Andrew Lu | ||||||
Deposited On: | 10 Jun 2025 17:36 | ||||||
Last Modified: | 17 Jun 2025 18:20 |
Thesis Files
![]() |
PDF
- Final Version
See Usage Policy. 9MB |
Repository Staff Only: item control page