<p>Glioblastoma is an aggressive brain cancer with limited treatment options and poor patient survival, driven in part by cellular diversity within tumors. While individual cell types have been catalogued, how malignant, vascular, and immune cells are spatially organized inside human tumors remains incompletely understood. Here we show a spatially resolved, multi-modal atlas of human glioblastoma that integrates gene expression profiling across tissue sections with matched single-cell and protein measurements at subcellular resolution. Using a targeted 348 gene panel enriched for vascular and stromal markers, we identify less well-characterized endothelial, perivascular, and fibroblast-like cell states and define their spatial associations with malignant and immune compartments. We further identify a distinct oligodendrocyte population restricted to tumor core and perivascular regions that exhibits gene expression patterns associated with tumor recurrence and poor clinical outcome. This publicly accessible atlas provides a high-resolution framework for studying the spatial organization of glioblastoma and highlights region-specific cellular interactions that may represent therapeutically actionable vulnerabilities.</p>

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A spatially resolved human glioblastoma atlas reveals distinct cellular and molecular patterns of anatomical niches

  • Pranali Sonpatki,
  • Hyun Jung Park,
  • Yao Lulu Xing,
  • Kyung Yeon Han,
  • Brett A. Schroeder,
  • Hyeon Jong Yu,
  • Hye Jin Kim,
  • Tamrin Chowdhury,
  • Jong Ha Hwang,
  • Sun Mo Nam,
  • Yoon Hwan Byun,
  • Ho Kang,
  • Joo Ho Lee,
  • Soon-Tae Lee,
  • Jae-Kyung Won,
  • Tae Min Kim,
  • Seung Hong Choi,
  • Ja-Lok Ku,
  • Sungyoung Lee,
  • Hongseok Yun,
  • Sung-Hye Park,
  • Claudia K. Petritsch,
  • Chul-Kee Park,
  • Woong-Yang Park,
  • Nameeta Shah

摘要

Glioblastoma is an aggressive brain cancer with limited treatment options and poor patient survival, driven in part by cellular diversity within tumors. While individual cell types have been catalogued, how malignant, vascular, and immune cells are spatially organized inside human tumors remains incompletely understood. Here we show a spatially resolved, multi-modal atlas of human glioblastoma that integrates gene expression profiling across tissue sections with matched single-cell and protein measurements at subcellular resolution. Using a targeted 348 gene panel enriched for vascular and stromal markers, we identify less well-characterized endothelial, perivascular, and fibroblast-like cell states and define their spatial associations with malignant and immune compartments. We further identify a distinct oligodendrocyte population restricted to tumor core and perivascular regions that exhibits gene expression patterns associated with tumor recurrence and poor clinical outcome. This publicly accessible atlas provides a high-resolution framework for studying the spatial organization of glioblastoma and highlights region-specific cellular interactions that may represent therapeutically actionable vulnerabilities.