Predicting the risk of pancreatic cancer using clinical and genetic data
Official title: Pancreatic Cancer Risk Prediction: Integrating Individual-Level Clinical and Genetic Data
Funded at VA Connecticut Healthcare System · NIH-10950328 · Data updated 2026-11-12
This study is looking to improve how we predict the risk of pancreatic cancer, especially for Black individuals who often find out about it later, by using personal health and genetic information to spot those at higher risk so they can get help sooner.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | VA Connecticut Healthcare System NIH-funded |
| Lab location | 1 site (West Haven, United States) |
| Project start | October 1, 2022 |
| Project end | September 30, 2027 |
| Funding year | 2025 |
| NIH project number | 5IK2BX005891-03 |
| Project ID | NIH-10950328 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include asymptomatic adults, particularly those of African descent, who may be at higher risk for pancreatic cancer.
✕Less likely to help
Patients with a known hereditary predisposition to pancreatic cancer may not benefit from this research as they are already under existing screening protocols.
What this research studies
This research aims to enhance the prediction of pancreatic ductal adenocarcinoma (PDAC) risk by integrating individual-level clinical and genetic data. It focuses on identifying high-risk individuals, particularly among Black populations who are diagnosed at later stages of the disease. By utilizing data from various biobanks and datasets, the study seeks to develop a more effective algorithm for risk assessment that goes beyond traditional methods. This approach will help in identifying asymptomatic adults who may be at increased risk for PDAC, allowing for earlier intervention.
Why it matters
Potential benefit: If successful, this research could lead to improved early detection and prevention strategies for pancreatic cancer, potentially saving lives.
How similar studies have gone: Previous research has shown promise in using integrated clinical and genetic data for cancer risk prediction, suggesting that this approach could be effective.
Where this research is happening
-
VA Connecticut Healthcare System
West Haven, United States Active
Researchers
- Principal investigator: Wang, Louise L — VA Connecticut Healthcare System
- Study coordinator: Wang, Louise L
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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.