胶质母细胞瘤
利基
建筑
芯(光纤)
GSM演进的增强数据速率
细胞内
生物
进化生物学
地理
计算机科学
细胞生物学
生态学
癌症研究
人工智能
电信
考古
作者
Saad M. Khan,Anthony Z. Wang,Rupen Desai,Colin McCornack,Rui Sun,Sonika Dahiya,Jennifer A. Foltz,Ngima D. Sherpa,Lydia A. Leavitt,Timothy R. West,Alexander Wang,Aleksandar Krbanjevic,Bryan D. Choi,Eric C. Leuthardt,Bhuvic Patel,Al Charest,Albert H. Kim,Gavin P. Dunn,Allegra A. Petti
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2025-04-04
标识
DOI:10.1101/2025.04.04.647096
摘要
Treatment resistance in glioblastoma (GBM) is largely driven by the extensive multi-level heterogeneity that typifies this disease. Despite significant progress toward elucidating GBM's genomic and transcriptional heterogeneity, a critical knowledge gap remains in defining this heterogeneity at the spatial level. To address this, we employed spatial transcriptomics to map the architecture of the GBM ecosystem. This revealed tumor cell states that are jointly defined by gene expression and spatial localization, and multicellular niches whose composition varies along the tumor core-edge axis. Ligand-receptor interaction analysis uncovered a complex network of intercellular communication, including niche- and region-specific interactions. Finally, we found that CD8 \J GZMK \J T cells colocalize with LYVE1 \J CD163 \J myeloid cells in vascular regions, suggesting a potential mechanism for immune evasion. These findings provide novel insights into the GBM tumor microenvironment, highlighting previously unrecognized patterns of spatial organization and intercellular interactions, and novel therapeutic avenues to disrupt tumor-promoting interactions and overcome immune resistance.
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