Using multi-omics data to improve cancer subtype discovery and prognosis
Official title: Personalization of graphical models using multi-omics data for subtype discovery and prognosis
Funded at Auburn University at Auburn · NIH-10930083 · Data updated 2026-11-12
This study is looking at how genes work together in cancer to create personalized profiles for patients, which could help doctors find the best treatments for each individual.
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 | 2024 |
| Award (this year) | $367,210 |
| NIH project number | 5U01CA274573-02 |
| Project ID | NIH-10930083 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are breast cancer patients who may not respond to current targeted therapies or have developed resistance to them.
✕Less likely to help
Patients with cancers that are not related to the pathways being studied may not receive any benefit from this research.
What this research studies
This research aims to enhance the understanding of cancer by focusing on how different genes interact within biological pathways rather than just examining individual genes. By analyzing multi-omics data, which includes various molecular levels like the transcriptome and epigenome, the project seeks to create personalized pathway profiles for patients. This innovative approach could lead to more accurate cancer subtyping and better-targeted therapies, ultimately improving treatment outcomes for patients. The research will integrate data from multiple cohorts to ensure a comprehensive analysis.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized cancer treatments by accurately identifying patient-specific cancer subtypes.
How similar studies have gone: Other research has shown promise in using pathway-level analysis for cancer treatment, suggesting that this approach could yield significant advancements.
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.