Predicting how cervical cancer patients will respond to radiation treatment
Official title: Integrating multi-omics, imaging, and longitudinal data to predict radiation response in cervical cancer
Funded at Washington University · NIH-10923978 · Data updated 2026-11-12
This study is looking to help doctors better predict how well cervical cancer patients will respond to their chemotherapy and radiation treatments by using different types of information, like genetic tests and scans, to find out who might need extra support early on.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project start | September 7, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $481,595 |
| NIH project number | 5R01CA276955-02 |
| Project ID | NIH-10923978 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are women diagnosed with locally advanced cervical cancer who are about to undergo chemoradiation therapy.
✕Less likely to help
Patients with early-stage cervical cancer or those who are not receiving chemoradiation therapy may not benefit from this research.
What this research studies
This research aims to improve the prediction of treatment responses in cervical cancer patients undergoing chemoradiation therapy. By integrating various types of data, including genomic, imaging, and clinical information, the study seeks to identify patients at risk of treatment failure early on. The approach involves analyzing pre-treatment tumor biopsies and imaging data to develop biomarkers that can guide personalized treatment strategies. This could lead to more effective interventions tailored to individual patient needs.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatment plans for cervical cancer patients, potentially improving survival rates.
How similar studies have gone: Previous research has shown promise in using integrated data approaches to improve cancer treatment outcomes, indicating that this method could be effective.
Where this research is happening
-
Washington University
Saint Louis, United States Active
Researchers
- Principal investigator: Zhang, Jin — Washington University
- Study coordinator: Zhang, Jin
Related research
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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.