Spatial patterns of glioblastoma

Toshiro Hara; Cong Ma

doi:10.1016/j.ccell.2025.10.013

Spatial patterns of glioblastoma

Cancer Cell. 2025 Dec 8;43(12):2189-2190. doi: 10.1016/j.ccell.2025.10.013. Epub 2025 Nov 20.

Authors

Toshiro Hara¹, Cong Ma²

Affiliations

¹ Department of Neurosurgery, Rogel Cancer Center, and Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Biointerfaces Institute and Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: hara@umich.edu.
² Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA. Electronic address: congma@umich.edu.

PMID: 41270754
DOI: 10.1016/j.ccell.2025.10.013

Abstract

Glioblastoma features extensive gene expression heterogeneity and high lethality, yet the mechanisms underlying this heterogeneity and its link to clinical outcomes remain elusive. In this issue of Cancer Cell, Migliozzi et al. spatially profile glioblastoma specimens to uncover cellular mechanisms that govern the extent of the heterogeneity in malignant cells.

MeSH terms

Brain Neoplasms* / genetics
Brain Neoplasms* / pathology
Gene Expression Regulation, Neoplastic
Glioblastoma* / genetics
Glioblastoma* / metabolism
Glioblastoma* / pathology
Humans