Using gene signatures to better match cancer treatments to patients
Official title: An innovative integrated computational framework using gene signatures for patient stratification
Funded at Baylor College of Medicine · NIH-10993114 · Data updated 2026-11-12
This study is working on a new way to use genetic information to create personalized treatment plans for cancer patients, like those with leukemia or breast cancer, so they can receive therapies that are better suited to their individual needs.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Baylor College of Medicine NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project start | December 8, 2022 |
| Project end | November 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $450,696 |
| NIH project number | 5R01CA269764-03 |
| Project ID | NIH-10993114 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include patients diagnosed with acute myeloid leukemia or other cancers characterized by specific genomic alterations.
✕Less likely to help
Patients with cancers that do not have actionable genomic mutations or those who are not eligible for targeted therapies may not benefit from this research.
What this research studies
This research aims to improve cancer treatment by developing a new statistical framework that combines genomic and gene expression data to create gene signatures. These signatures will help identify specific genomic changes in patients with various types of cancer, including acute myeloid leukemia and breast cancer. By analyzing existing cancer data, the project seeks to enhance personalized treatment strategies, ensuring that patients receive therapies tailored to their unique genetic profiles. This approach could lead to more effective treatment options and improved patient outcomes.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective cancer treatments for patients based on their unique genetic makeup.
How similar studies have gone: Other research has shown promise in using genomic and transcriptomic data to improve cancer treatment, indicating that this approach could be a significant advancement in the field.
Where this research is happening
-
Baylor College of Medicine
Houston, United States Active
Researchers
- Principal investigator: Cheng, Chao — Baylor College of Medicine
- Study coordinator: Cheng, Chao
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.