Combined Imaging and RNA Markers to Predict Head and Neck Cancer Recurrence

Who could benefit from this research

What this research studies

This project will develop multimodal models that integrate PET, CT, and MR imaging data with RNA biomarkers and clinical information to forecast early recurrence in HPV-negative head and neck squamous cell carcinoma. By combining radiologic, genomic, and histologic features, researchers hope to create a more accurate, non-invasive tool to guide therapy decisions and follow-up planning. The work builds on prior findings that RNA markers and imaging signals can reflect tumor biology and treatment response. The study involves analyzing patient data to identify patterns associated with recurrence and to validate predictive models in a clinical setting. If successful, the approach could enable earlier intervention and more personalized care for patients with this aggressive cancer.

Why it matters

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

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About this research

1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.