Document Type
Article
Publication Date
5-28-2024
Keywords
Multiphoton microscopy, Radiation resistance, Cancer, Histogram analysis, Multivariate, Tumor microenvironment, Tumors, Histograms, Hypoxia, Radiotherapy, Resistance, Autofluorescence, Animals, Cancer, Mode conditioning cables, Oxygen
Abstract
Significance
Radiation resistance is a major contributor to cancer treatment failure and is likely driven by multiple pathways. Multivariate visualization that preserves the spatial co-localization of factors could aid in understanding mechanisms of resistance and identifying biomarkers of response.
Aim
We aim to investigate the spatial and temporal relationship between hypoxia, hypoxia-inducible factor 1 (HIF-1α), and metabolism in response to radiation therapy in two cell lines of known radiation resistance and sensitivity.
Approach
Two-photon excited fluorescence and fluorescence lifetime imaging microscopy were used to quantify the optical redox ratio (ORR) and NAD(P)H fluorescent lifetime and bound fraction in frozen tumor sections and co-registered with immunohistochemical stain-based imaging of hypoxic fraction and HIF-1α.
Results
Histogram analysis of hypoxia, HIF-1α, and ORR revealed an increase in the ORR in regions of low hypoxia and high HIF-1α, indicating that the stabilization of HIF-1α is likely due to an increase in reactive oxygen species following radiation therapy. In addition, the bound NAD(P)H fraction was higher in regions with a low ORR in resistant tumors following radiation, suggesting an increase in fatty acid synthesis.
Conclusions
A multivariate histogram approach can reveal hidden trends not observed in bulk analysis of tumor images and may be useful in understanding biomarkers and mechanisms of radiation resistance.
Citation
Jesse D. Ivers, Nagavenkatasai Puvvada, Charles M. Quick, et al. "Investigating the relationship between hypoxia, hypoxia-inducible factor 1, and the optical redox ratio in response to radiation therapy," Biophotonics Discovery 1(1), 015003 (28 May 2024) https://doi.org/10.1117/1.BIOS.1.1.015003
Histograms
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This work is licensed under a Creative Commons Attribution 4.0 International License.