Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Spatial analysis of recurrent glioblastoma reveals perivascular niche organization
Ugoma Onubogu, Chandler D. Gatenbee, Sandhya Prabhakaran, Kelsey L. Wolfe, Benjamin Oakes, Roberto Salatino, Rachael Vaubel, Oszkar Szentirmai, Alexander R.A. Anderson, Michalina Janiszewska
Ugoma Onubogu, Chandler D. Gatenbee, Sandhya Prabhakaran, Kelsey L. Wolfe, Benjamin Oakes, Roberto Salatino, Rachael Vaubel, Oszkar Szentirmai, Alexander R.A. Anderson, Michalina Janiszewska
View: Text | PDF
Research Article Oncology

Spatial analysis of recurrent glioblastoma reveals perivascular niche organization

  • Text
  • PDF
Abstract

Tumor evolution is driven by genetic variation; however, it is the tumor microenvironment (TME) that provides the selective pressure contributing to evolution in cancer. Despite high histopathological heterogeneity within glioblastoma (GBM), the most aggressive brain tumor, the interactions between the genetically distinct GBM cells and the surrounding TME are not fully understood. To address this, we analyzed matched primary and recurrent GBM archival tumor tissues with imaging-based techniques aimed to simultaneously evaluate tumor tissues for the presence of hypoxic, angiogenic, and inflammatory niches, extracellular matrix (ECM) organization, TERT promoter mutational status, and several oncogenic amplifications on the same slide and location. We found that the relationships between genetic and TME diversity are different in primary and matched recurrent tumors. Interestingly, the texture of the ECM, identified by label-free reflectance imaging, was predictive of single-cell genetic traits present in the tissue. Moreover, reflectance of ECM revealed structured organization of the perivascular niche in recurrent GBM, enriched in immunosuppressive macrophages. Single-cell spatial transcriptomics further confirmed the presence of the niche-specific macrophage populations and identified interactions between endothelial cells, perivascular fibroblasts, and immunosuppressive macrophages. Our results underscore the importance of GBM tissue organization in tumor evolution and highlight genetic and spatial dependencies.

Authors

Ugoma Onubogu, Chandler D. Gatenbee, Sandhya Prabhakaran, Kelsey L. Wolfe, Benjamin Oakes, Roberto Salatino, Rachael Vaubel, Oszkar Szentirmai, Alexander R.A. Anderson, Michalina Janiszewska

×

Figure 3

Genotype- and phenotype-based clustering of tumor microenvironments in primary and recurrent GBM.

Options: View larger image (or click on image) Download as PowerPoint
Genotype- and phenotype-based clustering of tumor microenvironments in p...
(A) Tumor region clustering based on cellular phenotypes, genotypes, and TERT promoter–mutant (TERTp-mutant) cells. Each point represents a tumor region. Numbers represent cluster identifier. (B) Connections between classification based on TERTp mutation, genotype, or phenotype clustering in primary and recurrent GBM. The width of each connection represents the number of tumor regions classified. (C) Contingency between the phenotypes and genotypes. Fisher’s exact test P values are: Cluster 0, P < 0.0001; Cluster 1, P < 0.0001; Cluster 4, P = 0.009. The color scale represents number of tumor regions classified. (D) Frequency of cells with EGFR amplification (left) and CDK4/EGFR co-amplification (right) across phenotype clusters. (E) Frequency of hypoxic (left) and immune cells (right) across phenotype clusters. The box-and-whisker plots in all bar graphs show the mean (midline) and 25th–75th (box) and 5th–95th (whiskers) percentiles. (F) Spatial distribution of cells with different genotypes and phenotypes. Columns in the heatmap represent spatial clusters determined based on XY coordinates of the cells.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts