Abstract
Significance: Radioresistance remains a significant problem for head and neck squamous cell carcinoma (HNSCC) patients. To mitigate this, the cellular and molecular pathways used by radioresistant HNSCC that drive recurrence must be studied. Aim: We aim to demonstrate optical imaging strategies to provide flow cytometry–like single-cell level analysis of hypoxia-inducible factor 1-alpha (HIF-1α)-mediated metabolic changes in the radioresistant and radiosensitive HNSCC cells but in a more efficient, cost-effective, and non-destructive manner. Through both optical imaging and flow cytometry studies, we will reveal the role of radiation-induced HIF-1α overexpression and the following metabolic changes in the radioresistance development for HNSCC. Approach: We optimized the use of two metabolic probes: 2-[N-(7-nitrobenz-2-oxa-1, 3-diazol-4-yl) amino]-2-deoxy-D-glucose (2-NBDG) (to report glucose uptake) and Tetramethylrhodamine ethyl ester (TMRE) (to report mitochondrial membrane potential) with both a standard fluorescence microscope and a flow cytometry device, to report the changes in metabolism between radioresistant (rSCC-61) and radiosensitive (SCC-61) HNSCC cell lines under radiation stresses with or without HIF-1α inhibition. Results: We found that the matched HNSCC cell lines had different baseline metabolic phenotypes, and their metabolism responded differently to radiation stress along with significantly enhanced HIF-1α expressions in the rSCC-61 cells. HIF-1α inhibition during the radiation treatment modulates the metabolic changes and radio-sensitizes the rSCC-61 cells. Through these studies, we demonstrated that a standard fluorescence microscope along with proper image processing methods can provide flow cytometry–like single-cell level analysis of HIF-1α-mediated metabolic changes in the radioresistant and radiosensitive HNSCC cells. Conclusions: Our reported optical imaging strategies may enable one to study the role of metabolism reprogramming in cancer therapeutic resistance development at the single-cell level in a more efficient, cost-effective, and non-destructive manner. Our understanding of radiation resistance mechanisms using our imaging methods will offer opportunities to design targeted radiotherapy for improved treatment outcomes for HNSCC patients.
| Original language | English |
|---|---|
| Article number | 012702 |
| Journal | Biophotonics Discovery |
| Volume | 2 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2025 |
Bibliographical note
Publisher Copyright:© The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Funding
This work was supported by generous funding from the National Institute of Dental and Craniofacial Research (NIDCR) and the National Institute of General Medical Sciences (NIGMS), branches of the U.S. National Institutes of Health (Grant No. R01DE031998). The authors thank the University of Kentucky Flow Cytometry and Immune Monitoring Shared Resource Facility (Grant No. P30CA177558), for the use of its facilities and services. The funders had no role in study design, data collection or analysis, decision to publish, or preparation of the paper.
| Funders | Funder number |
|---|---|
| National Institute of General Medical Sciences DP2GM119177 Sophie Dumont National Institute of General Medical Sciences | |
| National Institute of Dental and Craniofacial Research | |
| National Institutes of Health (NIH) | R01DE031998 |
| University of Kentucky | P30CA177558 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- fluorescence microscopy
- head and neck squamous cell carcinoma
- optical metabolic imaging
- radiation therapy
- tumor metabolism
ASJC Scopus subject areas
- General Biochemistry, Genetics and Molecular Biology
- Medicine (miscellaneous)
- Radiology Nuclear Medicine and imaging
- Biomedical Engineering
- Artificial Intelligence
Fingerprint
Dive into the research topics of 'Optical imaging provides flow-cytometry–like single-cell level analysis of HIF-1α-mediated metabolic changes in radioresistant head and neck squamous carcinoma cells'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver