Understanding how cancer evolves resistance to treatment using mathematical models
Official title: Extending experimental evolutionary game theory in cancer in vivo to enable clinical translation: integrating spatio-temporal dynamics using mathematical modeling
Funded at Cleveland Clinic Lerner Com-Cwru · NIH-10889962 · Data updated 2026-11-12
This study is looking at how cancer can become resistant to certain treatments, specifically a type of medicine called tyrosine kinase inhibitors, to help find better ways to make those treatments work for you.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cleveland Clinic Lerner Com-Cwru NIH-funded |
| Lab location | 1 site (Cleveland, United States) |
| Project start | August 1, 2023 |
| Project end | July 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $507,671 |
| NIH project number | 5U01CA280829-02 |
| Project ID | NIH-10889962 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients with cancers that are currently treated with tyrosine kinase inhibitors and who may be experiencing or at risk of developing resistance.
✕Less likely to help
Patients with cancers that do not involve tyrosine kinase pathways or those who are not receiving targeted therapies may not benefit from this research.
What this research studies
This research investigates the evolutionary processes that lead to resistance in cancer treatments, particularly focusing on tyrosine kinase inhibitors. By employing mathematical modeling and experimental assays, the team aims to understand the dynamics of cancer evolution in a clinical context. The goal is to shift the focus from merely identifying mutations that confer resistance to understanding the underlying evolutionary mechanisms. This approach could lead to more effective strategies for overcoming resistance in cancer therapies.
Why it matters
Potential benefit: If successful, this research could lead to new treatment strategies that prevent or overcome resistance in cancer therapies, improving patient outcomes.
How similar studies have gone: While the theoretical modeling of cancer evolution has been explored, this specific approach integrating empirical biology with evolutionary game theory is relatively novel and untested in clinical settings.
Where this research is happening
-
Cleveland Clinic Lerner Com-Cwru
Cleveland, United States Active
Researchers
- Principal investigator: Scott, Jacob Gardinier — Cleveland Clinic Lerner Com-Cwru
- Study coordinator: Scott, Jacob Gardinier
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.