# Optimization of Cancer Therapy guided by oxygen, pH, thiol and other parametric images

> **NIH NIH R50** · UNIVERSITY OF CHICAGO · 2020 · $127,441

## Abstract

Electron Paramagnetic Resonance (EPR) Oxygen Images (EPROI) have been shown to provide quantitative
localized pO2 images of animal tumors including several in syngeneic mice, and in rats, and rabbits. The
parent grant has demonstrated statistically significant sharpening of the 50% tumor control dose with the
addition of the information provided by the fraction of EPROI voxels less than 10 torr (HF10). Specific aims
for the current grant cycle: 1) Determining the relation between the localized oxygen information from the
EPROI and pimonidazole retention, induction of hypoxia proteins and single biopsy hypoxic fraction. 2)
Treatment of murine tumors to TCD50 after oxygen images and determining the predictive effectiveness of
the HF10 and other EPROI tumor statistics and 3) Using the HF10 from EPROI to dose paint regions of
hypoxia with IMRT to determine the impact of the EPROI on cure of mouse tumors. This work will validate
quantitative oxygen imaging in optimizing radiation delivery and stimulate the development of oxygen
imaging for treatment of human tumors. The funding of the Research Specialist position will enhance the
technology required for the success of the parent grant through introduction of conformal beam radiation
protocol and develop technology for pH and redox status guided intensity modulated radiation therapy in
mouse tumors. Such support will provide sufficient time to secure funding between grant cycles.

## Key facts

- **NIH application ID:** 9999312
- **Project number:** 5R50CA211408-05
- **Recipient organization:** UNIVERSITY OF CHICAGO
- **Principal Investigator:** Boris Epel
- **Activity code:** R50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $127,441
- **Award type:** 5
- **Project period:** 2016-09-19 → 2021-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9999312

## Citation

> US National Institutes of Health, RePORTER application 9999312, Optimization of Cancer Therapy guided by oxygen, pH, thiol and other parametric images (5R50CA211408-05). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/9999312. Licensed CC0.

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