Understanding how cancer evolves resistance to treatment using mathematical models

Extending experimental evolutionary game theory in cancer in vivo to enable clinical translation: integrating spatio-temporal dynamics using mathematical modeling

NIH-funded research Cleveland Clinic Lerner Com-Cwru · NIH-10889962

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 typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionCleveland Clinic Lerner Com-Cwru NIH-funded
Lab location1 site (Cleveland, United States)
Project IDNIH-10889962 on NIH RePORTER

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.

Who could benefit from this research

Good fit: 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.

Not a fit: Patients with cancers that do not involve tyrosine kinase pathways or those who are not receiving targeted therapies may not benefit from this research.

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 performed: 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, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Cancer ModelCancer Treatment
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.