P02.08.A A SPATIALLY RESOLVED HUMAN GLIOBLASTOMA ATLAS REVEALS DISTINCT CELLULAR AND MOLECULAR PATTERNS OF ANATOMICAL NICHES

Abstract BACKGROUND Glioblastoma (GBM) is the most lethal brain tumor in adults with remarkable cellular plasticity and complex anatomical features. While single-cell RNA sequencing (scRNA-seq) has revealed its cellular heterogeneity, the spatial cellular organization within the anatomical features remains elusive. MATERIAL AND METHODS Here, we provide a comprehensive spatial transcriptomic dataset comprising 115,914 transcriptomes from 32 genotyped tissue sections. RESULTS Leveraging Xenium in situ technology, we generated spatial transcriptomic data with subcellular-resolution, significantly improving the granularity of our understanding of GBM cellular architecture. In addition, our analyses identified oligodendrocyte subtypes specifically localized to tumor cores and perivascular regions with molecular profiles associated with poor prognosis. CONCLUSION This publicly accessible GBM atlas provides a valuable resource for understanding the complex cellular architecture of GBM and facilitating the development of novel therapeutic strategies.

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Publication Details

Journal
Neuro-Oncology
Published
2025-10-01
DOI
https://doi.org/10.1093/neuonc/noaf193.135
Primary Topic
Cell Image Analysis Techniques
Type
article
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article

P02.08.A A SPATIALLY RESOLVED HUMAN GLIOBLASTOMA ATLAS REVEALS DISTINCT CELLULAR AND MOLECULAR PATTERNS OF ANATOMICAL NICHES

Woong‐Yang Park, Pranali Sonpatki, Nameeta Shah, Chan Park et al.
Neuro-Oncology
Cell Image Analysis Techniques
article

P02.08.A A SPATIALLY RESOLVED HUMAN GLIOBLASTOMA ATLAS REVEALS DISTINCT CELLULAR AND MOLECULAR PATTERNS OF ANATOMICAL NICHES

Woong‐Yang Park, Pranali Sonpatki, Nameeta Shah, Chan Park, Hyo Jin Park
article en

Abstract

Abstract BACKGROUND Glioblastoma (GBM) is the most lethal brain tumor in adults with remarkable cellular plasticity and complex anatomical features. While single-cell RNA sequencing (scRNA-seq) has revealed its cellular heterogeneity, the spatial cellular organization within the anatomical features remains elusive. MATERIAL AND METHODS Here, we provide a comprehensive spatial transcriptomic dataset comprising 115,914 transcriptomes from 32 genotyped tissue sections. RESULTS Leveraging Xenium in situ technology, we generated spatial transcriptomic data with subcellular-resolution, significantly improving the granularity of our understanding of GBM cellular architecture. In addition, our analyses identified oligodendrocyte subtypes specifically localized to tumor cores and perivascular regions with molecular profiles associated with poor prognosis. CONCLUSION This publicly accessible GBM atlas provides a valuable resource for understanding the complex cellular architecture of GBM and facilitating the development of novel therapeutic strategies.

Neuro-OncologyVol. 27(Supplement_3)
Rajarajeswari Medical College and Hospital (IN), Seoul National University (KR), Samsung (South Korea) (KR), Samsung Medical Center (KR)
Openalex Percentile: Top 80%
Cell Image Analysis Techniques
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