Spatial analysis reveals the evolving organization of IDH-mutant glioma
Adult diffuse gliomas comprise malignant cell states interwoven with the non-malignant brain microenvironment. Here, we combine spatial transcriptomics and spatial proteomics of IDH-mutant gliomas to define organizational principles across histological grades. In low-grade tumors, spatial organization is shaped by underlying brain anatomy. We identify a functional white–grey matter junction that restricts cortical invasion and is associated with marked changes in tumor composition and cellular phenotypes. This boundary is preferentially traversed by oligodendrocyte progenitor (OPC)-like malignant cells, suggesting a role in tumor expansion. In contrast, intermediate-grade tumors are largely disorganized, with few recurring interactions between cancer cell states and microenvironmental cell types. In high-grade tumors, hypoxia-associated structure emerges, resembling IDH-wildtype glioblastoma. Together, these findings reveal two independent axes of spatial organization—from anatomy-driven structure in low-grade tumors to hypoxia-driven organization in high-grade tumors—and establish a framework linking tumor grade to recurrent spatial interactions.
from sddb import Catalog
cohort = Catalog().collection("geo-gse341225")
cohort.members # the 12 datasets as a table
print(cohort.licenses()) # check the terms before you download
sdatas = cohort.to_dict() # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/") Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
coll = db.Collection.get(key="geo-gse341225")
coll.ordered_artifacts.to_dataframe() # the 12 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()] # sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse341225 --dest data/ Licenses: 12 NCBI GEO policy
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