Monitoring and guiding the growth of cancer cell subtypes
Official title: Engineering model-based systems to monitor and steer subclonal dynamics
Funded at H. Lee Moffitt Cancer Ctr & Res Inst · NIH-10833036 · Data updated 2026-11-12
This study is creating a new software tool to help scientists watch how different types of cancer cells grow and change over time, which could lead to better treatments for patients like you.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | H. Lee Moffitt Cancer Ctr & Res Inst NIH-funded |
| Lab location | 1 site (Tampa, United States) |
| Project start | May 1, 2023 |
| Project end | April 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $187,087 |
| NIH project number | 5R21CA269415-02 |
| Project ID | NIH-10833036 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with various types of cancer who may benefit from advanced monitoring of their tumor's genetic and phenotypic characteristics.
✕Less likely to help
Patients with stable, non-evolving tumors or those not undergoing treatment may not receive direct benefits from this research.
What this research studies
This research focuses on understanding the complex behavior of cancer cell subtypes by developing a software tool called CLONEID. It aims to monitor how these subtypes evolve over time in laboratory settings, using advanced computer vision techniques to track their growth and changes. By linking genetic profiles with observable traits, the research seeks to provide insights into the dynamics of cancer cell populations, which could lead to improved treatment strategies. Patients may benefit from this work as it could enhance the understanding of cancer behavior and inform more effective therapies.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective cancer treatments by providing deeper insights into tumor dynamics.
How similar studies have gone: Other research has shown promise in using computer vision and multi-omic approaches to study cancer dynamics, indicating that this methodology could be effective.
Where this research is happening
-
H. Lee Moffitt Cancer Ctr & Res Inst
Tampa, United States Active
Researchers
- Principal investigator: Andor, Noemi — H. Lee Moffitt Cancer Ctr & Res Inst
- Study coordinator: Andor, Noemi
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.