A Spatial Multi-Omic Framework Identifies Gliomas Permissive to TIL Expansion
允许的
计算生物学
计算机科学
生物
病毒学
作者
Mustafa Khasraw,Kelly Hotchkiss,Kenan Zhang,Alison Corcoran,Elizabeth B. Owens,Pamela Noldner,Chelsea Railton,Kyra Van Batavia,Ying Zhou,Jodie Jepson,Kirit Singh,Roger E. McLendon,Kristen A. Batich,Anoop P. Patel,Katayoun Ayasoufi,Michael C. Brown,Evan Calabrese,Jichun Xie,José R. Conejo-García,Beth H. Shaz
Tumor-infiltrating lymphocyte (TIL) therapy, recently approved by the FDA for melanoma, is an emerging modality for cell-based immunotherapy. However, its application in immunologically "cold" tumors such as glioblastoma remains limited due to sparse T cell infiltration, antigenic heterogeneity, and a suppressive tumor microenvironment. To identify genomic and spatial determinants of TIL expandability, we performed integrated, multimodal profiling of high-grade gliomas using spectral flow cytometry, TCR sequencing, single-cell RNA-seq, Xenium in situ transcriptomics, and CODEX spatial proteomics. Comparative analysis of TIL-generating (TIL⁺) versus non-generating (TIL⁻) tumors revealed that IL7R expression, structured perivascular immune clustering, and tumor-intrinsic metabolic programs such as ACSS3 were associated with successful TIL expansion. In contrast, TIL⁻tumors were enriched for neuronal lineage signatures, immunosuppressive transcripts including TOX and FERMT1 , and tumor-connected macrophages. This study defines spatial and molecular correlates of TIL manufacturing success and establishes a genomics-enabled selection platform for adoptive T cell therapy. The profiling approach is now being prospectively implemented in the GIANT clinical trial (NCT06816927), supporting its translational relevance and scalability across glioblastoma and other immune-excluded cancers.