Developing tools to better predict colorectal cancer risk and progression
Official title: Building Data Science Tools for Genetic Models of Colorectal Cancer Progression and Risk
Funded at Durham VA Medical Center · NIH-10950354 · Data updated 2026-11-12
This study is looking at how your genes can help predict your risk of colorectal cancer, so that doctors can give you personalized screening recommendations based on your unique genetic makeup, making it easier to catch any issues early.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Durham VA Medical Center NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project start | October 1, 2022 |
| Project end | September 30, 2026 |
| Funding year | 2025 |
| NIH project number | 5I01BX005718-03 |
| Project ID | NIH-10950354 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with a family history of colorectal cancer or those identified as high-risk based on genetic factors.
✕Less likely to help
Patients with no genetic predisposition to colorectal cancer or those who are not at risk may not benefit from this research.
What this research studies
This research focuses on improving the prediction of colorectal cancer (CRC) risk by utilizing genetic and genomic data. It aims to create integrated data resources that account for individual variability in CRC risk factors, which can help tailor screening recommendations based on a person's specific genetic profile. By analyzing longitudinal data on CRC precursors and their progression, the research seeks to develop personalized risk models that can enhance the effectiveness of CRC screening and surveillance. This approach could lead to more timely and appropriate interventions for those at higher risk.
Why it matters
Potential benefit: If successful, this research could lead to more accurate CRC risk assessments and improved screening strategies, ultimately reducing CRC incidence and mortality.
How similar studies have gone: Previous research has shown promise in using genetic data to improve cancer risk prediction, indicating that this approach has potential for success.
Where this research is happening
-
Durham VA Medical Center
Durham, United States Active
Researchers
- Principal investigator: Hauser, Elizabeth R — Durham VA Medical Center
- Study coordinator: Hauser, Elizabeth R
Related research
Other NIH-funded projects on the same topics.
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Improving colorectal cancer screening and follow-up care.
This study is working to help more people get screened for colorectal cancer and receive the follow-up care they need, especially those who haven't been screened much before, so that everyone can have better access to important health checks and improve their overall health.
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A large, multi-center study follows people newly diagnosed with colorectal cancer to find biomarkers and patterns that predict outcomes and guide future care.
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Automated point-of-care DNA methylation test for colorectal cancer in LMICs
A fast, affordable blood test using DNA markers to help identify people at higher risk of colorectal cancer in low- and middle-income countries.
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Rewiring Colorectal Cancer to Harness Therapeutic Hyperactivation
A Yale team is exploring brain-storming new ways to treat colorectal cancer by safely boosting certain cancer signaling pathways to kill cancer cells and by reshaping cancer cell states to improve responses to existing therapies.
-
Comparative modeling to guide colorectal cancer screening and care
A researcher team will use computer models to study how access to care, risk, and new screening options affect colorectal cancer outcomes and costs for adults in the US.
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.