Personalized pathway profiles to find cancer subtypes and predict outcomes
Personalization of graphical models using multi-omics data for subtype discovery and prognosis
['FUNDING_U01'] · AUBURN UNIVERSITY AT AUBURN · NIH-11192802
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
| Phase | ['FUNDING_U01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | AUBURN UNIVERSITY AT AUBURN (nih funded) |
| Locations | 1 site (Auburn, UNITED STATES) |
| Trial ID | NIH-11192802 on ClinicalTrials.gov |
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.
Who could benefit from this research
Good fit: 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.
Not a fit: 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.
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 performed: 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, UNITED STATES
- AUBURN UNIVERSITY AT AUBURN — Auburn, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: NGUYEN, TIN C — AUBURN UNIVERSITY AT AUBURN
- Study coordinator: NGUYEN, TIN C
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 below.
Conditions: Breast Cancer Patient, Cancer Center, Cancer Genes, Cancer Treatment, Cancer-Promoting Gene