ArticleNeuro-oncology2025
Unveiling spatial heterogeneity in medulloblastoma: A multi-omics analysis of cellular state and geographical organization.
Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Leveraging single-cell and spatial omics for brain tumour insights to improve therapeutic strategies.Molecular brain · 2026Review
- The tumor microenvironment of medulloblastoma: from emerging biological insights to novel therapeutic targeting.Frontiers in oncology · 2026Review
- Epigenetic regulation in medulloblastoma: from tumor heterogeneity to diagnostic, prognostic, and translational applications.Frontiers in molecular neuroscience · 2026Review
- CRISPR and Artificial Intelligence in Neuroregeneration: Closed-Loop Strategies for Precision Medicine, Spinal Cord Repair, and Adaptive Neuro-Oncology.International journal of molecular sciences · 2025Review
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Authors and funding
48 authors.
Funding
Abstract
backgroundDespite numerous studies on medulloblastoma (MB) cell heterogeneity, the spatial characteristics of cellular states remain unclear.
methodsWe analyze single-nucleus and spatial transcriptomes and chromatin accessibility from human MB spanning four subgroups, to identify malignant cell populations and describe the spatial evolutionary trajectories. The spatial copy number variations (CNVs) patterns and niches were analyzed to investigate the cellular interactions.
resultsThree main malignant cell populations were identified, including progenitor-like, cycling, and differentiated populations. Gene signatures of cell populations strongly correlate to clinical outcomes. These tumor cell populations are geographically organized as stem-like and mature regions, highlighting their spatially heterogeneous nature. Progenitor-like and cycling cells are mainly concentrated in stem-like regions, whereas various differentiated populations are primarily distributed in mature regions. By analyzing chromosomal alterations, we find that stem-like regions typically harbor a single pattern of CNVs, reflecting high originality and uniformity, which is in stark contrast to mature regions exhibiting multiple patterns with a broader range of biological functions. Projecting cellular state programs onto spatial sections fully illustrates the evolution from stem-like regions to various functional zones in mature regions, which is correlated to microenvironmental components along the paths to maintain stemness or promote differentiation.
conclusionsThis multi-omics database comprehensively facilitates the understanding of MB spatial evolutionary organization.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.