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Reprogramming the neuroblastoma tumor immune microenvironment to enhance GPC2 CAR T cells

GSE295013 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2025/09/17 Platform GPL34290
Summary
Poor tumor trafficking and the immunosuppressive tumor microenvironment (TME) limit chimeric antigen receptor (CAR) T cell efficacy in solid tumors, such as neuroblastoma. We previously optimized GPC2 CARs in human neuroblastoma xenografts leading to clinical translation, however, there have not been preclinical studies using immunocompetent models. Thus, here we generated murine GPC2 CAR T cells using the D3-GPC2-targeting single-chain variable fragment being utilized clinically (NCT05650749) and tested them in neuroblastoma syngeneic allografts. Immune profiling of GPC2 CAR T cell-treated tumors revealed significant reprogramming of the TME, most notably poor intra-tumor CAR T cell persistence being associated with increased recruitment of myeloid-derived suppressor cells (MDSCs), along with MDSC-recruiting CXCL1/2 chemokines. These tumor-infiltrating MDSCs directly inhibited GPC2 CAR T cell activation and proliferation ex vivo. To both capitalize on this chemokine gradient and mitigate MDSC-tumor trafficking, we engineered GPC2 CAR T cells to express the CXCL1/2 receptor, CXCR2. CXCR2-armored GPC2 CAR T cells migrated towards CXCL1/2 gradients, enhanced anti-neuroblastoma efficacy, and reduced the level of MDSCs in the TME. Together, these findings suggest CAR T cell studies in immunocompetent models are imperative to define mechanisms of solid tumor immune escape and rationally design armoring strategies that will lead to durable clinical efficacy.
Published in
Reprogramming the neuroblastoma tumor immune microenvironment to enhance GPC2 CAR T cells
Giudice AM, Roth SL, Matlaga S et al. · Molecular therapy : the journal of the American Society of Gene Therapy 2025 · PMID 40437756 · doi:10.1016/j.ymthe.2025.05.025
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Also filed as BioProject PRJNA1252456 and SRA study SRP579633. Searching any of these in the dataset finder brings you back here.

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