Integrative spatial analysis reveals a multi-layered organization of glioblastoma

Greenwald AC, Darnell NG, Hoefflin R, Simkin D, Mount CW, Gonzalez Castro LN, Harnik Y, Dumont S, Hirsch D, Nomura M, Talpir T, Kedmi M, Goliand I, Medici G, Laffy J, Li B, Mangena V, Keren-Shaul H, Weller M, Addadi Y, Neidert MC, Suvà ML, Tirosh I

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Abstract

Glioma contains malignant cells in diverse states. Here, we combine spatial transcriptomics, spatial proteomics, and computational approaches to define glioma cellular states and uncover their organization. We find three prominent modes of organization. First, gliomas are composed of small local environments, each typically enriched with one major cellular state. Second, specific pairs of states preferentially reside in proximity across multiple scales. This pairing of states is consistent across tumors. Third, these pairwise interactions collectively define a global architecture composed of five layers. Hypoxia appears to drive the layers, as it is associated with a long-range organization that includes all cancer cell states. Accordingly, tumor regions distant from any hypoxic/necrotic foci and tumors that lack hypoxia such as low-grade IDH-mutant glioma are less organized. In summary, we provide a conceptual framework for the organization of cellular states in glioma, highlighting hypoxia as a long-range tissue organizer.

Abstract of "Integrative spatial analysis reveals a multi-layered organization of glioblastoma" by Greenwald AC, Darnell NG, Hoefflin R et al., https://doi.org/10.1016/j.cell.2024.03.029, used under its Creative Commons Attribution license (CC-BY); markup removed, otherwise unmodified.

Record

Archive ID
doi:10.1016/j.cell.2024.03.029
Published
Apr 22, 2024
Venue
Cell
DOI
10.1016/j.cell.2024.03.029
PubMed
38653236
PMC
PMC11088502
License
CC-BY
Provenance
europepmc

Topics

Cited in dossiers