Related Experiment Video
Updated: Jul 16, 2025

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
Published on: September 13, 2022
Dissecting the tumor microenvironment of epigenetically driven gliomas: Opportunities for single-cell and spatial
Jonathan H Sussman1,2, Jason Xu1,2, Nduka Amankulor3
1Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Abstract:
Malignant gliomas are incurable brain neoplasms with dismal prognoses and near-universal fatality, with minimal therapeutic progress despite billions of dollars invested in research and clinical trials over the last 2 decades. Many glioma studies have utilized disparate histologic and genomic platforms to characterize the stunning genomic, transcriptomic, and immunologic heterogeneity found in gliomas. Single-cell and spatial omics technologies enable unprecedented characterization of heterogeneity in solid malignancies and provide a granular annotation of transcriptional, epigenetic, and microenvironmental states with limited resected tissue. Heterogeneity in gliomas may be defined, at the broadest levels, by tumors ostensibly driven by epigenetic alterations (IDH- and histone-mutant) versus non-epigenetic tumors (IDH-wild type). Epigenetically driven tumors are defined by remarkable transcriptional programs, immunologically distinct microenvironments, and incompletely understood topography (unique cellular neighborhoods and cell-cell interactions). Thus, these tumors are the ideal substrate for single-cell multiomic technologies to disentangle the complex intra-tumoral features, including differentiation trajectories, tumor-immune cell interactions, and chromatin dysregulation. The current review summarizes the applications of single-cell multiomics to existing datasets of epigenetically driven glioma. More importantly, we discuss future capabilities and applications of novel multiomic strategies to answer outstanding questions, enable the development of potent therapeutic strategies, and improve personalized diagnostics and treatment via digital pathology.
Insights
Single-cell multiomics reveals complex intra-tumor heterogeneity in epigenetically driven gliomas, offering new avenues for personalized diagnostics and potent therapeutic strategies against these incurable brain neoplasms.
Area of Science:
- Neuro-oncology
- Genomics
- Immunology
Background:
- Malignant gliomas are aggressive brain tumors with poor outcomes and limited treatment progress.
- Glioma research has faced challenges due to significant genomic, transcriptomic, and immunologic heterogeneity.
- Single-cell and spatial omics technologies offer detailed characterization of tumor heterogeneity.
Purpose of the Study:
- To review the application of single-cell multiomics in epigenetically driven gliomas.
- To discuss future multiomic strategies for understanding glioma biology.
- To explore advancements in personalized diagnostics and therapeutics for gliomas.
Main Methods:
- Review of existing single-cell multiomic datasets for epigenetically driven gliomas.
- Discussion of novel multiomic strategies and their potential applications.
- Integration of multiomic data with digital pathology for enhanced diagnostics.
Main Results:
- Single-cell multiomics enables granular annotation of transcriptional, epigenetic, and microenvironmental states in gliomas.
- Epigenetically driven gliomas exhibit distinct transcriptional programs and immune microenvironments.
- These technologies are crucial for disentangling intra-tumor features like differentiation and cell-cell interactions.
Conclusions:
- Single-cell multiomics is a powerful tool for dissecting glioma complexity, particularly in epigenetically driven subtypes.
- Future multiomic approaches hold promise for developing effective therapies and improving patient outcomes.
- Enhanced diagnostics through digital pathology can leverage multiomic insights for personalized glioma treatment.

