CELL INTELLIGENCE · 肿瘤细胞治疗研究

Glioblastoma (GBM) and other malignant gliomas are associated with aggressive progression, high recurrence rates, and poor long-term outcomes, while current standard therapies provide limited survival benefit. Neoantigen-based immunotherapy offers tumor specificity but is severely restricted in gliomas by HLA-Ia downregulation, pronounced intratumoral heterogeneity, an immunosuppressive tumor microenvironment, and the blood-brain barrier (BBB).

In this review, we summarize recent advances and propose a multidimensional framework to address these barriers. Specifically, we discuss the potential use of HLA-E as an alternative antigen-presentation platform, γδ T cells as complementary effector populations capable of partially bypassing classical HLA-Ia dependence, artificial intelligence-assisted neoantigen prioritization and optimization, and emerging BBB-penetrating delivery technologies.

Together, these strategies uncouple neoantigen targeting from individual HLA restrictions, establishing a "genotype-agnostic" foundation. Ultimately, this integrated framework aims to develop broadly applicable, off-the-shelf neoantigen immunotherapies, improving translational feasibility and providing new directions for overcoming immune escape in gliomas.