NatureCancer BiologyPeer-reviewed journal article
Single-cell multidimensional profiling of tumor cell heterogeneity in supratentorial ependymomas
Daeun JeongiD, Sara G. DanielliiD, Kendra K. MaaßiD, David R. GhasemiiD, Svenja Kristin TetzlaffiD, Ekin ReyhaniD, Li Jiang, Shashank KatiyariD, Julia K. SundheimeriD, Costanza Lo CascioiD, Sina NeyaziiD, Carlos Alberto Oliveira de BiagiiD, Elsa CouvilloniD, Sophia Castellani, Maria F. Pazyra‐MurphyiD, Matthew Mullally, Marc Philipp DehleriD, Bernhard EnglingeriD, Andrezza NascimentoiD, Gustavo Alencastro Veiga CruzeiroiD, Joana G. MarquesiD, Rebecca D Haase, Cuong M. Nguyen, Alicia-Christina Baumgartner, Jacob S RozowskyiD, , Mariella G. FilbiniD
Abstract
Supratentorial ependymomas are aggressive childhood brain cancers that retain features of neurodevelopmental cell types and segregate into molecularly and clinically distinct subgroups, suggesting different developmental roots. The developmental signatures as well as microenvironmental factors underlying aberrant cellular transformation and behavior across each supratentorial ependymoma subgroup are unknown. Here we integrated single cell- and spatial transcriptomics, as well as in vitro and in vivo live-cell imaging to define supratentorial ependymoma cell states, spatial organization, and dynamic behavior within the neural microenvironment. We find that individual tumor subgroups harbor two distinct progenitor-like cell states reminiscent of early human brain development and diverge in the extent of neuronal or ependymal differentiation. We further uncover several modes of spatial organization of these tumors, including a high order architecture influenced by mesenchymal and hypoxia signatures. Finally, we identify an unappreciated role for brain-resident cells in shifting supratentorial ependymoma cellular heterogeneity towards neuronal-like cells that co-opt immature neuronal morphology and invasion mechanisms. Collectively, these findings provide a multidimensional framework to integrate transcriptional and phenotypic characterization of tumor heterogeneity in supratentorial ependymoma and its potential clinical implications.
- organism: human
- assay: scRNA-seq
- assay: spatial transcriptomics
- assay: imaging
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: clustering
- approach: deep learning
- approach: statistical model
- Citations
- 5
- FWCI
- 13.71
- Field percentile
- top 1%
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