# Biology and therapy of C11orf95-RELA fusion-driven ependymoma

> **NIH NIH U54** · FRED HUTCHINSON CANCER RESEARCH CENTER · 2021 · $41,230

## Abstract

ABSTRACT/SUMMARY – OVERALL (HOLLAND)
Due to a chromothripsis event on chromosome 11, the majority of supratentorial ependymomas generate and
express the gene fusion C11orf95-RELA fusion (RELAFus). The goal of the U54 titled “Biology and therapy of
C11orf95-RELA fusion-driven ependymoma is to understand the biology of this fusion protein and the two
components that make up the fusion and determine the requirements for continued expression of this fusion
protein and what pathways downstream are critical for oncogenesis. We will use a combination of novel mouse
models and human neuro stem cell systems with readouts of single cell analysis, immunology, tumor
microenvironment, systems biology, and data visualization. In addition to the administrative core, the grant has
three main Projects, a data visualization and sharing core. The research projects include, Project 1) Mechanisms
and models of C11or95 and C11or95-RELA fusions (RELAFus), Project 2) Genetic interrogation of therapeutic
vulnerabilities for C11orf95-RELA fusion, and Project 3) Identifying small molecules with therapeutic effects in
RELAFus -driven EPN and testing them in preclinical genetically engineered models of EPN.

## Key facts

- **NIH application ID:** 10394666
- **Project number:** 3U54CA243125-01S1
- **Recipient organization:** FRED HUTCHINSON CANCER RESEARCH CENTER
- **Principal Investigator:** Eric C. Holland
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $41,230
- **Award type:** 3
- **Project period:** 2021-09-01 → 2022-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10394666

## Citation

> US National Institutes of Health, RePORTER application 10394666, Biology and therapy of C11orf95-RELA fusion-driven ependymoma (3U54CA243125-01S1). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10394666. Licensed CC0.

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