bioRxivCancer Biology
Spatial architecture of high-grade glioma reveals tumor heterogeneity within distinct domains
J. J. D. Moffet, O. E. Fatunla, L. Freytag, J. J. Jones, S. J. Roberts-Thomson, A. Pavenko, D. K. Scoville, L. Zhang, Y. Liang, A. P. Morokoff, J. R. Whittle, S. Freytag, S. A. Best
Abstract
High-grade gliomas are aggressive primary brain cancers with poor response to standard regimens, driven by immense heterogeneity. In isocitrate dehydrogenase (IDH) wild-type high-grade glioma (glioblastoma, GBM), increased intra-tumoral heterogeneity is associated with more aggressive disease. Recently, spatial technologies have emerged to dissect this complex heterogeneity within the tumor ecosystem by preserving cellular organization in situ. Here, we construct a high-resolution molecular landscape of GBM and IDH-mutant high-grade glioma patient samples to investigate the cellular subtypes and spatial communities that compose high-grade glioma using digital spatial profiling and spatial molecular imaging. This uncovered striking diversity of the tumor and immune microenvironment, that is embodied by the heterogeneity of the inferred copy-number alterations in the tumor. Reconstructing the tumor architecture revealed two distinct niches, one composed of tumor cell states that most closely resemble normal glial cells, associated with microglia; and the other niche populated by monocytes and mesenchymal tumor cells. We further reveal that communication between tumor and immune cells is underpinned by tumor-specific ligands, such as TGF{beta} signaling in astrocyte-like tumor cells. This primary study reveals high levels of intra-tumoral heterogeneity in high-grade gliomas, associated with a diverse immune landscape within spatially localized regions.
- organism: human
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: cell-cell communication
- approach: deep learning
- approach: statistical model
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