Evidence map›Paper›PMID 39917319›Full record

ArticleBiophotonics discovery2025

Optical imaging provides flow-cytometry-like single-cell level analysis of HIF-1

Jing Yan, Carlos Frederico Lima Goncalves, Pranto Soumik Saha, Cristina M Furdui, Caigang Zhu

Abstract read
In one paragraph

Article in Biophotonics discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jing YanUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.ORCID 0009-0007-3888-1420
Carlos Frederico Lima GoncalvesUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.
Pranto Soumik SahaUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.
Cristina M FurduiWake Forest University, Department of Internal Medicine, Winston-Salem, North Carolina, United States.
Caigang ZhuUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Jennifer F Rogers · 2013 to 2026
$38.3M
Point-of-care optical spectroscopy platform and novel ratio-metric algorithms for rapid and systematic functional characterization of biological models in vivoR01DE031998 · NIDCR · UNIVERSITY OF KENTUCKY · PI Caigang Zhu · 2023 to 2026
$1.6M
NCI NIH HHS P30 CA177558NIDCR NIH HHS R01 DE031998
6 · The paper itself

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-1 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-1 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.

Indexed as

fluorescence microscopyhead and neck squamous cell carcinomaoptical metabolic imagingradiation therapytumor metabolism

Identifiers

PMID39917319
PMCPMC11801402

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.