Nature Communications · 2025 · 10 citations · 75 references
MedicineImmunologyOncologyCancer ImmunologyTumor ImmunologyTumor MicroenvironmentAntitumor T Cell ResponsesCancer ImmunotherapyChimeric Antigen Receptor T-cell TherapyImmunotherapy For Solid TumorsT Cell Responses To TumorsTumor Microenvironment ModulationCrispr-cas9 Genome EditingEffector T Cell DifferentiationImmunosuppressive FunctionImmunosuppressive MicroenvironmentSolid Tumor Car T-cell TherapyT Cell Effector FunctionsTargeted Knock-inTumor Microenvironment Effects
Abstract The efficacy of Chimeric Antigen Receptor T cells against solid tumors is limited by immunosuppressive factors in the tumor microenvironment including adenosine, which suppresses Chimeric Antigen Receptor T cells through activation of the A 2A receptor. To overcome this, Chimeric Antigen Receptor T cells are engineered to express A 1 receptor, a receptor that signals inversely to A 2A receptor. Using murine and human Chimeric Antigen Receptor T cells, constitutive A 1 receptor overexpression significantly enhances Chimeric Antigen Receptor T cell effector function albeit at the expense of Chimeric Antigen Receptor T cell persistence. Through a CRISPR/Cas9 homology directed repair “knock-in” approach we demonstrate that Chimeric Antigen Receptor T cells engineered to express A 1 receptor in a tumor-localized manner, enhances anti-tumor therapeutic efficacy. This is dependent on the transcription factor IRF8 and is transcriptionally unique when compared to A 2A receptor deletion. This data provides a novel approach for enhancing Chimeric Antigen Receptor T cell efficacy in solid tumors and provides proof of principle for site-directed expression of factors that promote effector T cell differentiation.
75
WGCNA: an R package for weighted correlation network analysis
Peter Langfelder, Steve Horvath · BMC Bioinformatics · 2008 · 29.1K citations · Full text
Fast gene set enrichment analysis
Gennady Korotkevich, Vladimir Sukhov, Nikolay Budin et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2016 · 3.6K citations · Full text
Daniel R. Zerbino, Premanand Achuthan, Wasiu Akanni et al. · Nucleic Acids Research · 2017 · 2.8K citations · Full text