EXTH-52. Spatially Resolved Antigenic Landscapes In Low-grade Glioma Reveal Targets For Personalized Immunotherapy

Darwin Kwok(City College of San Francisco), Michael Zhang(City College of San Francisco), Cliff Wang(Sunesis (United States)), Maggie Colton Cove(City College of San Francisco), Chibo Hong(City College of San Francisco), Nicholas Stevers(City College of San Francisco), Benjamin Lerman(City College of San Francisco), Senthilnath Lakshmanachetty(City College of San Francisco), Tyler Borrman(Sunesis (United States)), Zheng Pan(Sunesis (United States)), Benjamin Yuen(Sunesis (United States)), Songming Peng(Sunesis (United States)), Diana Nguyen(Sunesis (United States)), Michael V. Martin(City College of San Francisco), Stephanie Hilz(City College of San Francisco), Joanna Phillips(City College of San Francisco), Anny Shai(City College of San Francisco), Nancy Ann Oberheim Bush(City College of San Francisco), Shawn L. Hervey‐Jumper(City College of San Francisco), Michael McDermott(City College of San Francisco), Stefanie Mandl(Sunesis (United States)), Hideho Okada(City College of San Francisco), J Costello(City College of San Francisco)
Neuro-Oncology
November 1, 2025
Cited by 0Open Access
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Abstract

Abstract BACKGROUND Low-grade gliomas (LGGs) exhibit low overall mutational burden and an immunosuppressive microenvironment, contributing to immunotherapy resistance. Intratumoral heterogeneity (ITH) further complicates the targeting of tumor-specific antigens (TSAs), yet its influence on the antigenic and immune landscapes in LGG remains understudied, particularly due to reliance on single-biopsy analyses. METHODS We performed exome and transcriptome sequencing on 70 spatially mapped biopsies from seven IDH-mutant Grade II astrocytoma patients. Tumor purity, immune deconvolution, and neoantigen prediction were conducted to assess regional immune variation and antigenic burden. In one patient (P375), neoantigen-specific CD8+ T cells were isolated using barcoded peptide-HLA multimers. Reactive T-cell receptor (TCR) clonotypes were identified via single-cell TCR sequencing and functionally validated in Jurkat76 and CD8+ T cells. RESULTS Spatial profiling of whole tumors revealed most mutations were biopsy-specific, with a steep drop in mutations shared across multiple regions. RNA-seq–based unsupervised clustering with xCell and DESeq2 revealed two distinct immune microenvironments: immune-hot regions with elevated immune infiltration, and immune-cold regions with minimal immune presence. Notably, mutation-derived n-mer peptides from immune-hot regions showed enhanced predicted immunogenicity relative to those from immune-cold areas. In one patient (P375), neoantigen-specific CD8⁺ TCR clonotypes were identified targeting PRMT5 mutations found in immune-hot regions. A mutant PRMT5-specific TCR demonstrated robust, antigen-dependent activation and dose-dependent cytotoxicity in vitro. This TCR showed high specificity toward the mutant peptide with minimal cross-reactivity to the wild-type sequence. Furthermore, engineered CD8⁺ T cells effectively killed glioma cells endogenously expressing the full-length mutant PRMT5, supporting its candidacy as a viable immunotherapeutic target. CONCLUSIONS Our findings reveal significant 3D spatial and immunologic heterogeneity in low-grade gliomas and demonstrate that neoantigens such as mutant PRMT5 can be selectively targeted by highly specific, cytotoxic TCR-engineered CD8⁺ T cells. These results support the potential of personalized TCR-based immunotherapy for low-grade glioma.


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