Personalized pathway profiles to find cancer subtypes and predict outcomes
Official title: Personalization of graphical models using multi-omics data for subtype discovery and prognosis
Funded at Auburn University at Auburn · NIH-11192802 · Data updated 2026-11-12
This project is building personalized pathway-based profiles from multiple types of tumor data to find subtypes and improve prognosis for people with breast and other cancers.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Auburn University at Auburn NIH-funded |
| Lab location | 1 site (Auburn, UNITED STATES) |
| Project start | September 15, 2023 |
| Project end | August 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $379,929 |
| NIH project number | 5U01CA274573-03 |
| Project ID | NIH-11192802 on NIH RePORTER |
Who could benefit from this research
✓Could help
People with breast cancer or other solid tumors who have tumor molecular testing results or who are willing to provide tumor samples or clinical data for multi-omics analysis are the best fit.
✕Less likely to help
Patients without available tumor molecular data, those whose cancers are not represented in the project's datasets, or those needing immediate treatment decisions may not directly benefit from this work.
What this research studies
The team will combine different kinds of tumor molecular data (for example gene activity and epigenetic marks) from people with breast and related cancers to create patient-specific pictures of pathway activity. Rather than looking at single genes, they will use graphical models to capture pathway wiring and cross-talk that may drive disease behavior. These personalized pathway profiles will be derived from multi-cohort data and analyzed to discover hidden patient subtypes and links to outcomes. The goal is to connect pathway patterns to prognosis so future care can better match an individual tumor's biology.
Why it matters
Potential benefit: If successful, this approach could help clinicians pick treatments that target the biological mechanisms active in a patient's tumor, potentially reducing ineffective therapies and resistance.
How similar studies have gone: Prior research using multi-omics and pathway analysis has shown promise, but creating personalized pathway profiles for individual patients is a newer approach that still requires validation.
Where this research is happening
-
Auburn University at Auburn
Auburn, United States Active
Researchers
- Principal investigator: Nguyen, Tin C — Auburn University at Auburn
- Study coordinator: Nguyen, Tin 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.