# Admin-Core-001

> **NIH NIH U54** · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · 2022 · $172,073

## Abstract

Enhancing antigen and cytokine expression to break immune tolerance and improve antitumor response Gliomas, like other solid tumors, restrict immune recognition of aberrant cancer cells. Further complicating this, pediatric cancers also have lower mutation rates than adult tumors making them more difficult to generate an immunotherapeutic response. This proposal addresses three mechanisms contributing to immune resistance in pediatric tumors: 1) low mutational loads, 2) myeloid immunosuppressive environment, and 3) MHC downregulation (immuno-editing). We have developed a multimodal virus based vaccine platform that uses the virus’s natural ability to recruit immune cells and break immune tolerance to improve immune activity against the tumor. By encoding tumor associated self-antigens within the viral genome so that they are expressed during infection our results show that we can convert the antiviral response into an anti-tumor response. The studies described in our proposal seek to improve our virus-based multi-modal vaccine approach to overcome immune restriction in one of the most difficult to treat solid tumors, malignant glioma. We propose testing our hypothesis that: Engineered viral modifications that enhance native and adoptive immune cell activity will improve durable anti-tumor activity in treatment resistant pediatric gliomas by the following aims.

## Key facts

- **NIH application ID:** 10707767
- **Project number:** 3U54CA232561-01A1S5
- **Recipient organization:** RESEARCH INST NATIONWIDE CHILDREN'S HOSP
- **Principal Investigator:** TIMOTHY P CRIPE
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $172,073
- **Award type:** 3
- **Project period:** 2022-05-01 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10707767

## Citation

> US National Institutes of Health, RePORTER application 10707767, Admin-Core-001 (3U54CA232561-01A1S5). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10707767. Licensed CC0.

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