Using imaging and RNA analysis to predict cancer recurrence in the head and neck
Official title: Combined Imaging and RNA Analyses to Predict Head and Neck Cancer Recurrence
Funded at Washington University · NIH-10909477 · Data updated 2026-11-12
This study is looking for ways to predict if head and neck cancers might come back after treatment by using special imaging and tests on your RNA, so we can tailor your care and improve your chances of staying cancer-free.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project start | September 4, 2023 |
| Project end | September 3, 2025 |
| Funding year | 2023 |
| Award (this year) | $673,102 |
| NIH project number | 1R56DE033344-01 |
| Project ID | NIH-10909477 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with head and neck squamous cell carcinomas who are undergoing treatment.
✕Less likely to help
Patients with non-squamous cell carcinomas or those who are not currently receiving treatment for head and neck cancer may not benefit from this research.
What this research studies
This research focuses on head and neck squamous cell carcinomas (HNSCCs), which are aggressive tumors that often recur after treatment. The study aims to develop methods for early prediction of cancer recurrence by combining advanced imaging techniques, such as PET and MRI, with RNA analysis to identify biomarkers associated with tumor behavior. By monitoring these biomarkers, the research seeks to improve personalized treatment strategies and enhance patient care. Patients will be evaluated through non-invasive imaging and RNA assessments to better understand their risk of recurrence.
Why it matters
Potential benefit: If successful, this research could lead to improved prediction of cancer recurrence, allowing for more tailored and effective treatment plans for patients.
How similar studies have gone: Previous research has shown promise in using imaging and RNA biomarkers for cancer prediction, indicating that this approach may lead to significant advancements in patient care.
Where this research is happening
-
Washington University
Saint Louis, United States Active
Researchers
- Principal investigator: Li, Hua — Washington University
- Study coordinator: Li, Hua
Related research
Other NIH-funded projects on the same topics.
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Combined Imaging and RNA Markers to Predict Head and Neck Cancer Recurrence
A research project aims to use imaging and RNA data to better predict if head and neck cancer will come back, helping doctors tailor treatments for patients.
-
Enhanced detection of head and neck cancer recurrence using automated EV isolation and vibrational spectroscopy
A fast-track NIH grant is funding development of an automated test using blood or saliva samples to catch head and neck cancer recurrences early.
-
A saliva test to detect head and neck cancer recurrence
This study is working on a simple saliva test called HNKlear that can help catch the return of head and neck cancer early, making it easier for patients to get the care they need without invasive procedures.
-
Keloid recurrence study using multi-omics in diverse patients
A research effort will look at why keloids come back after surgery, especially in African American patients, using comprehensive molecular data from patient samples.
-
Oral cancer recurrence predictor using tumor microbes and gene activity
This NIH grant explores how bacteria and immune signals inside oral cancer tumors relate to whether the cancer comes back, with the aim of making a practical risk predictor for patients.
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Biomarker to guide treatment in head and neck cancer
A biomarker test using tumor samples is being developed to predict recurrence risk in oral cancers and help tailor treatment.
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.