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Updated: Jul 9, 2026
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Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
Published on: September 13, 2022
GliomaDeconv maps glioma-specific cellular programs from bulk transcriptomic profiles and reveals spatiotemporal
Maoyuan Sun1, Shan Jiang1, Yulai Zeng1
1Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Neurosurgical Institute, Fudan University, Shanghai, China.
Cancer Letters
|July 7, 2026
Summary
Glioma heterogeneity poses treatment challenges. GliomaDeconv, a new tool, maps tumor cell composition and organization using bulk RNA sequencing, revealing insights into glioma progression and therapy resistance.
Area of Science:
- Neuro-oncology
- Computational Biology
- Cancer Genomics
Background:
- Glioma recurrence and therapy resistance are significant challenges in neuro-oncology.
- Tumor microenvironment heterogeneity complicates understanding of disease progression.
- Standard bulk RNA sequencing lacks the resolution to identify cell-type composition.
Purpose of the Study:
- To develop GliomaDeconv, a glioma-specific framework for bulk RNA-seq deconvolution.
- To systematically map cellular composition and spatial organization across glioma subtypes and stages.
- To provide a tool for dissecting glioma microenvironmental composition.
Main Methods:
- Established GliomaDeconv using multi-subtype single-cell RNA sequencing (scRNA-seq) datasets.
- Applied a probabilistic deconvolution architecture for data analysis.
- Utilized spatially annotated IVY GAP datasets and large bulk RNA-seq cohorts.
Main Results:
- Identified distinct malignant cell states, including a neural progenitor-like (NPC-like) population with tumor-propagating capacity.
- Discovered functionally specialized tumor-associated macrophage subsets enriched in specific glioma grades and subtypes.
- Demonstrated biological concordance between GliomaDeconv estimates and single-cell data, linking tumor regions to distinct cell-state enrichments.
Conclusions:
- GliomaDeconv effectively bridges single-cell resolution and large-cohort transcriptomics for precise glioma microenvironment dissection.
- The tool facilitates the understanding of cellular composition and dynamic evolution across glioma subtypes and disease stages.
- Identified NPC-like glioma cells as having enhanced tumor-propagating capacity, linking this state to glioma progression.
