Single-cell multidimensional profiling of tumor cell heterogeneity in supratentorial ependymomas
Jeong, D.; Danielli, S. G.; Maass, K. K.; Ghasemi, D. R.; Tetzlaff, S. K.; Reyhan, E.; Oliveira de Biagi-Junior, C. A.; Neyazi, S.; Nascimento, A.; Haase, R.; Lo Cascio, C.; Englinger, B.; Jiang, L.; Nguyen, C. M.; Baumgartner, A. C.; Castellani, S.; Rozowsky, J. S.; Hack, O. A.; Shaw, M. L.; Lotsch-Gojo, D.; Bruckner, K.; Pfister, S. M.; Kool, M.; Nowakowski, T. J.; Gojo, J.; Baird, L.; Alexandrescu, S.; Pajtler, K. W.; Venkataramani, V.; Filbin, M. G.
Show 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.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- An immunomechanical checkpoint PYK2 governs monocyte-to-macrophage differentiation in pancreatic cancer 96%
- Multimodal Spatial Profiling Reveals Immune Suppression and Microenvironment Remodeling in Fallopian Tube Precursors to High-Grade Serous Ovarian Carcinoma 96%
- Single cell view of tumor microenvironment gradients in pleural mesothelioma 96%
Similar papers in this journal
- Single-nucleus and spatial landscape of the sub-ventricular zone in human glioblastoma 97%
- RNA Splicing Junction Landscape Reveals Abundant Tumor-Specific Transcripts in Human Cancer 96%
- Defining the cellular origin of seminoma by transcriptional and epigenetic mapping to the normal human germline 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.