ENHANCING CHIMERIC ANTIGEN RECEPTOR T CELL THERAPY BY MODULATING THE P53 SIGNALING NETWORK WITH Δ133p53α

Loading...
Thumbnail Image
Degree type
Doctor of Philosophy (PhD)
Graduate group
Pharmacology
Discipline
Immunology and Infectious Disease
Subject
Cancer
CAR T cell Therapy
Immunology
p53
Funder
Grant number
License
Copyright date
01/01/2024
Distributor
Related resources
Author
Roselle, Christopher, Peter
Contributor
Abstract

Chimeric antigen receptor (CAR) T cell dysfunction is a major barrier to achieving lasting remission in hematologic cancers, especially in chronic lymphocytic leukemia (CLL). We have shown previously that Δ133p53α, an endogenous isoform of the human TP53 gene, decreases in expression with age in human T cells, and that reconstitution of Δ133p53α in poorly functional T cells can rescue proliferation. Although Δ133p53α lacks a transactivation domain, it can form heterooligomers with full length p53 and modulate the p53-mediated stress response. Here, we show that constitutive expression of Δ133p53α, potentiates the anti-tumor activity of CD19-directed CAR T cells, and limits dysfunction under conditions of high tumor burden and metabolic stress. We demonstrate that Δ133p53α-expressing CAR T cells exhibit a robust metabolic phenotype, maintaining the ability to execute effector functions and continue proliferating under nutrient limiting conditions, in part due to upregulation of critical biosynthetic processes and improved mitochondrial function. Importantly, we show that our strategy to constitutively express Δ133p53α improves the anti-tumor efficacy of CAR T cells generated from CLL patients that previously failed CAR T cell therapy. More broadly, our results point to the potential role of the p53-mediated stress response in limiting the prolonged antitumor functions required for complete tumor clearance in patients with high disease burden, suggesting that modulation of the p53 signaling network with Δ133p53α may represent a translationally viable strategy for improving CAR T cell therapy.

Advisor
June, Carl, H
Date of degree
2024
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation