# A Minimally Invasive Platform to Target, Image, and Treat Head and Neck Cancer

> **NIH VA IK2** · BIRMINGHAM VA MEDICAL CENTER · 2022 · —

## Abstract

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DESCRIPTION (provided by applicant):   
This proposal combines fluorescent imaging, active targeting, and subsequent photothermal treatment of malignant cells as an approach for treating head and neck cancers. The use of a near-infrared (NIR) laser enables us to take advantage of both the plasmon resonance absorption peak of gold nanorods (AuNRs), ~785 nm, as well as the absorption peak of the fluorescent dye, ~774 nm. We propose to label anti-EGFR antibodies, which target the over-expressed EGFR on malignant cells, with a fluorescent dye and conjugate them to AuNRs. This active targeting is expected to prove more efficient than previously reported approaches that relied solely on enhanced permeability and retention effects. Our preliminary results suggest that NIR photothermal treatment heated the AuNRs, excited fluorescence, killed approximately 90% of tumor cells in vitro, and provided a 40% reduction in tumor volume in vivo. To our knowledge, this is the first demonstration of a minimally invasive modality to combine tumor targeting and fluorescent imaging with a method to induce tumor regression in live mice. We aim to demonstrate that this multifunctional platform to target, image, and treat tumors is an improvement over current treatment regimens for Veterans suffering with head and neck cancer.

## Key facts

- **NIH application ID:** 10610322
- **Project number:** 5IK2RX001866-07
- **Recipient organization:** BIRMINGHAM VA MEDICAL CENTER
- **Principal Investigator:** Hadiyah-Nicole Green
- **Activity code:** IK2 (R01, R21, SBIR, etc.)
- **Funding institute:** VA
- **Fiscal year:** 2022
- **Award amount:** —
- **Award type:** 5
- **Project period:** 2016-05-01 → 2022-09-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10610322

## Citation

> US National Institutes of Health, RePORTER application 10610322, A Minimally Invasive Platform to Target, Image, and Treat Head and Neck Cancer (5IK2RX001866-07). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10610322. Licensed CC0.

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