# WASp signaling in T-cell lymphomas

> **NIH NIH R01** · UNIVERSITY OF ILLINOIS AT CHICAGO · 2024 · $487,014

## Abstract

ABSTRACT
Title: WASp signaling in T-cell lymphomas
Peripheral T-cell lymphomas (PTCL) are aggressive disorders, with less than 50% overall survival after 2-3
years of diagnosis. These dismal outcomes are in no small part secondary to the limited number of available
biomarkers of disease progression and the limited knowledge of T-cell lymphoma biology. Emergent evidence
indicates that the actin cytoskeleton plays a pivotal role during T-cell lymphomas' development and growth;
however, actin-related proteins' role as actionable targets in T-cell lymphomas still needs to be defined. Our
preliminary findings demonstrate that the actin regulatory protein Wiskott-Aldrich syndrome protein (WASp) is
associated with decreased event-free survival and promotes T-cell lymphoma growth and survival. In this
proposal, we will leverage a genetically engineered murine (GEM) model that develops spontaneous peripheral
T-cell lymphomas (SNF5FL/CD4cre), and we will capitalize on an international consortium of more than 100 T-cell
lymphoma cases collected with accompanying annotated clinical outcomes, to test the role of WASp during the
assembly of actin-dependent signaling complexes upstream of oncogenic transcriptional signaling, and define
the role of the tumor microenvironment driving WASp-dependent oncogenic signaling.

## Key facts

- **NIH application ID:** 10945084
- **Project number:** 1R01CA293380-01
- **Recipient organization:** UNIVERSITY OF ILLINOIS AT CHICAGO
- **Principal Investigator:** Carlos A. Murga-Zamalloa
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $487,014
- **Award type:** 1
- **Project period:** 2024-07-15 → 2029-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10945084

## Citation

> US National Institutes of Health, RePORTER application 10945084, WASp signaling in T-cell lymphomas (1R01CA293380-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10945084. Licensed CC0.

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