Functional diversity of Vγ9Vδ2 T cells overcomes glioblastoma state plasticity and antigen heterogeneity
Pierre ParisiD, Marine DevinatiD, Julianne Ceroni, Elodie GuietiD, Jocelyn OllieriD, Mélanie Laurent—BlondiD, Pauline ThomasiD, M. GaudiniD, Noémie JoallandiD, A. PerriniD, Clément Philippe DelannoyiD, Audrey RousseauiD, Philippe MeneïiD, Emmanuel ScotetiD, François ParisiD, Colin NiaudetiD, Sophie Fougeray, Sophie Groux‐DegrooteiD, Catherine GratasiD, Anne ClavreuliD, Béatrice ClemenceauiD, Claire PecqueuriD
Abstract
Glioblastoma (GBM) is characterized by a high degree of cellular plasticity and intra-tumoral heterogeneity, which frequently leads to the failure of standard therapies, including immunotherapies. While chimeric antigen receptor (CAR) T cells offer a potent means of MHC-independent tumor recognition, their efficacy is hampered by the coexistence of distinct molecular states, gathered as proneural (PN) and mesenchymal (MES) phenotypes. Here, we demonstrate that gangliosides GD2 and O-acetylated GD2 (OAcGD2) are preferentially expressed by PN cells whereas MES cells display reduced expression due to upregulated ganglioside catabolism. Conversely, MES cells are known to exhibit high expression of stress-induced ligands recognized by V{gamma}9V{delta}2 T cells. We show that while engineering V{delta}2T cells with GD2- or OAcGD2-specific CAR enables the elimination of PN cells, it also facilitates the immune escape of MES cells in heterogeneous 3D-tumoroid models. Mechanistically, we reveal a hierarchy of receptor engagement, where CAR signaling predominates leading to the structural and functional exclusion of endogenous TCR from the immunological synapse. To address this receptor competition, we propose a strategy that leverages the functional effector diversity by combining untransduced and CAR-engineered V{delta}2T cells. This dual approach provides a dynamic safety net by ensuring the simultaneous elimination of PN and MES cells and preventing the selective outgrowth of resistant cells. Our findings establish a conceptual framework for designing off-the-shelf immunotherapies tailored to the metabolic and phenotypic plasticity of resistant solid tumors.
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