Cellular Origin of Glioma: From Triggers to Treatments

A special issue of Cells (ISSN 2073-4409).

Deadline for manuscript submissions: 15 June 2026 | Viewed by 2003

Special Issue Editor


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Guest Editor
Brain Tumour Research Lab, School of Pharmacy and Life Sciences, University of Wolverhampton, Wolverhampton WV1 1LY, UK
Interests: epigenetics; cancer; brain; drug therapy; genomics; genetics; adenovirus; mouse models; suppressor genes; drug targeting; solid tumours

Special Issue Information

Dear Colleagues,

An aggressive primary brain tumour, glioblastoma (GBM), is the most common cancer of the central nervous system in adults. However, an inability to identify its cell of origin has been a fundamental issue hindering further understanding of the nature and pathogenesis of GBM, as well as the development of novel therapeutic targets. Researchers have hypothesized that GBM arises from the accumulation of somatic mutations in neural stem cells (NSCs) and glial precursor cells that confer selective growth advantages, leading to uncontrolled proliferation. Understanding the cellular origin of gliomas and the lineage hierarchy of GBM is crucial for accurate diagnosis, effective treatment, and patient outcomes. 

Dr. Katherine Karakoula
Guest Editor

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Keywords

  • glioblastoma
  • brain tumour
  • tumour heterogeneity
  • targeted therapy
  • glioma stem cells

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Published Papers (2 papers)

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Review

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23 pages, 981 KB  
Review
The Elusive Origin of Glioblastoma: Where Do We Stand?
by Monica Pernia Marin, Hamed Almabrok, Michael L. Miller and Aya Haggiagi
Cells 2026, 15(7), 590; https://doi.org/10.3390/cells15070590 - 26 Mar 2026
Viewed by 932
Abstract
Glioblastoma (GBM) remains one of the most lethal cancers, and despite advancements in understanding its underlying molecular signature, effective therapeutics are still lacking. The multifaceted challenges of designing treatments for GBM are compounded by the inability to identify a definitive cell of origin, [...] Read more.
Glioblastoma (GBM) remains one of the most lethal cancers, and despite advancements in understanding its underlying molecular signature, effective therapeutics are still lacking. The multifaceted challenges of designing treatments for GBM are compounded by the inability to identify a definitive cell of origin, the understanding of which is crucial for developing impactful therapies and ultimately improving patient outcomes. High-resolution technologies, including single-cell and single-nucleus RNA sequencing, spatial transcriptomics, multi-omics, next generation glioma models, bioinformatics, and artificial intelligence are creating an important opportunity to comprehensively map the cellular origin of GBM and its evolutionary dynamics. Accumulating evidence support neural stem cells (NSCs) and oligodendrocyte precursor cells (OPCs) as primary candidates, providing critical insights into the ontogeny of GBM. This comprehensive review synthesizes current knowledge on the cellular origins of GBM and evaluates advanced methodologies, deepening our understanding of its development. Full article
(This article belongs to the Special Issue Cellular Origin of Glioma: From Triggers to Treatments)
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Other

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10 pages, 743 KB  
Commentary
Glioblastoma Stem Cells as Targets for Emerging Precision Immunotherapies and Molecular Treatments
by Dennis A. Steindler and Katherine Karakoula
Cells 2026, 15(9), 783; https://doi.org/10.3390/cells15090783 - 26 Apr 2026
Viewed by 376
Abstract
Advances in organoid and other three-dimensional culture systems, single-cell and spatial transcriptomics, multi-omics, and high-resolution imaging are reshaping our understanding of the cellular origins and evolutionary trajectories of glioblastoma. When integrated with modern data science approaches, these technologies enable the construction of increasingly [...] Read more.
Advances in organoid and other three-dimensional culture systems, single-cell and spatial transcriptomics, multi-omics, and high-resolution imaging are reshaping our understanding of the cellular origins and evolutionary trajectories of glioblastoma. When integrated with modern data science approaches, these technologies enable the construction of increasingly detailed molecular biographies of normal neural stem and progenitor cells as well as malignant stem-like cellular states. Such molecular biographies illuminate how developmental programs, cellular plasticity, and microenvironmental cues are co-opted during gliomagenesis. At the same time, progress in machine learning, immunotherapy, and precision molecular targeting is beginning to translate these biological insights into therapeutic strategies that specifically disrupt glioblastoma stem-like states. Together, these converging approaches provide a conceptual and technological framework for improved tumor modeling, earlier detection, and increasingly personalized therapies for malignant gliomas. Full article
(This article belongs to the Special Issue Cellular Origin of Glioma: From Triggers to Treatments)
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