TMIC-20. A SPATIALLY RESOLVED HUMAN GLIOBLASTOMA ATLAS REVEALS DISTINCT CELLULAR AND MOLECULAR PATTERNS OF ANATOMICAL NICHES

• Published in: Neuro-oncology (Charlottesville, Va.) Vol. 25; no. Supplement_5; p. v282
• Main Authors: Shah, Nameeta, Park, Hyun Jung, Sonpatki, Pranali, Han, Kyung Yeon, Yu, Hyeon Jong, Kim, Shin Wook, Chowdhury, Tamrin, Byun, Yoon Hwan, Kang, Ho, Lee, Joo Ho, Lee, Soon-Tae, Won, Jae-Kyung, Kim, Tae Min, Choi, Seung Hong, Shin, Young-Kyoung, Ku, Ja-Lok, Lee, Sungyoung, Yun, Hongseok, Park, Sung Hye, Park, Chul-Kee, Park, Woong-Yang
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 10.11.2023
• Subjects: Tumor Microenvironment
• ISSN: 1522-8517; 1523-5866
• DOI: 10.1093/neuonc/noad179.1086

Abstract Glioblastoma (GBM) is a highly plastic ecosystem where the complex interplay between different cellular components contributes to disease progression. Although single-cell RNA (scRNA)-seq has revealed remarkable cellular heterogeneity of GBM, our knowledge regarding the spatial organization of its cellular components is currently lacking. Here we created a comprehensive dataset of 115,914 spatial transcriptomes across 32 tissue sections with matched multi-omics profiling on a set of genotyped glioma samples. We present spatial maps of 56 fine-grained cellular components, including previously unrecognized subtypes of oligodendrocytes and stromal cells, and their spatial interaction networks in each GBM- associated anatomical niche. Furthermore, the deconvolution of bulk RNA-seq data using the integrated spatial and single-cell atlas revealed clinically relevant GBM ecotypes. Our data provides comprehensive insights into the cellular architecture of GBM at high spatial resolution. It will be a valuable resource to develop effective combinatorial therapies to target all tumor-fostering niches simultaneously.