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Updated: Jun 22, 2025

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Decoding heterogeneous and coordinated tissue architecture in glioblastoma using spatial transcriptomics.

Xuejiao Lv1,2, Bo Wang3, Kunlun Liu4

  • 1State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Department of Cell Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.

Iscience
|July 1, 2024
PubMed
Summary
This summary is machine-generated.

This study maps gene expression in glioblastoma (GBM) tumors, revealing spatial patterns of tissue stem cell and mesenchymal signatures near necrotic areas. These findings offer insights into GBM progression and spatial heterogeneity.

Keywords:
CancerExpression studyMolecular physiologyTranscriptomics

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Area of Science:

  • Neuro-oncology
  • Cancer Biology
  • Genomics

Background:

  • Glioblastoma multiforme (GBM) exhibits significant intra-tumor heterogeneity, but its spatial complexity is not well understood.
  • Previous single-cell studies highlighted cellular diversity, yet lacked spatial context.

Purpose of the Study:

  • To investigate spatial gene expression heterogeneity in clinical glioblastoma specimens.
  • To explore the spatial distribution of molecular signatures and their correlation with tumor pathology and subtypes.

Main Methods:

  • Utilized spatial transcriptomics technology on clinical GBM samples.
  • Analyzed gene expression patterns in relation to tumor microenvironment features like necrosis and vascularization.

Main Results:

  • Identified enrichment of tissue stem cell and mesenchymal signatures in regions adjacent to necrosis and the peritumoral area.
  • Found upregulation of extracellular matrix (ECM)-receptor interactions, proteoglycans, VEGF, and ANGPT signaling in these regions.
  • Observed creatine metabolism signature exclusivity to vascular-enriched areas, while glycogen metabolism and oxidative phosphorylation showed no spatial relevance.

Conclusions:

  • Spatial transcriptomics reveals distinct molecular zoning within GBM tumors.
  • These spatial profiles provide a foundation for understanding GBM progression and developing targeted therapies.