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A spatiotemporal cancer cell trajectory underlies glioblastoma heterogeneity.
Nature · · Journal Article · Open access
de Jong, Memi + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Spatially patterned transitions in human glioblastoma drive heterogeneity, moving cancer cells from developmental-like states toward glial injury response and hypoxia across 12 tumours.
- Why it matters: Glioblastoma shows plastic, heterogeneous malignant states, but it is unclear whether they follow defined cellular trajectories across tumours and regions.
- What they did: The team built a deep single-cell and spatial multi-omic atlas profiling transcriptomic, epigenomic, and genomic features from 12 tumours, then used deep learning to map cancer cell states jointly with clones in situ.
- The result: The trajectory regionalizes tumours into distinct microenvironments in a molecularly conserved way, with genetically distinct subclones finely intermixed and linked to myeloid heterogeneity across regionalized myeloid signalling environments.
The findingWhy it mattersWhat they didThe result
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- Open access
- 8 cites