Evaluating cancer models to improve precision medicine
Official title: Single-cell congruence evaluation and selection of cancer models towards precision medicine
Funded at University of Pittsburgh at Pittsburgh · NIH-11046862 · Data updated 2026-11-12
This study is looking at how closely different cancer models, like lab-grown cells and tiny organ-like structures from patients, match real breast tumors to help find the best ways to create treatments that work better for you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project start | February 3, 2025 |
| Project end | January 31, 2030 |
| Funding year | 2025 |
| Award (this year) | $585,931 |
| NIH project number | 1R01CA285337-01A1 |
| Project ID | NIH-11046862 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with breast cancer who may benefit from tailored treatment approaches.
✕Less likely to help
Patients with cancers other than breast cancer may not receive direct benefits from this research.
What this research studies
This research investigates how well different cancer models, such as cell lines and patient-derived organoids, mimic actual tumors in patients. By analyzing molecular profiles and using advanced techniques like single-cell RNA sequencing, the study aims to identify the most representative cancer models for breast cancer. The goal is to enhance the selection process of these models to ensure they accurately reflect the complexity of human tumors, which could lead to better treatment strategies. Patients may benefit from improved therapies that are tailored to their specific cancer characteristics.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized cancer treatments for patients.
How similar studies have gone: Other research has shown promise in using advanced molecular profiling and machine learning to improve cancer model selection, indicating a potential for success in this approach.
Where this research is happening
-
University of Pittsburgh at Pittsburgh
Pittsburgh, United States Active
Researchers
- Principal investigator: Tseng, George C. — University of Pittsburgh at Pittsburgh
- Study coordinator: Tseng, George C.
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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.