Stochastic Nanoscale Biophysical Cues as a Basis for the Induction of Glioblastoma‐Like Transcriptional Programs in Astrocytes

Although direct biological factors underlying the progression of Glioblastoma (GBM), an aggressive form of brain cancer, have been extensively studied, emerging evidence suggests that indirect biological triggers, such as traumatic brain injury (TBI), may also have a role. Since proteoglycans, secreted by reactive astrocytes and astroglial cells contribute to biophysical characteristics (stochastic topography, stiffness) of the brain, we postulated a role for stochastic nanoroughness in the induction of glioma following brain trauma. Using a model system to emulate such physical cues that manifest following traumatic injury, we demonstrate that human cortical astrocytes undergo spontaneous organization into spheroids in response to nanoroughness and retain the spheroid phenotype even upon withdrawal of the physical cues. Furthermore, spheroids serve as aggregation foci for naïve astrocytes, express activated MMP2, and disseminate upon implantation in the mouse brain. RNA-seq analysis revealed that astrocytes within spheroids differentially express genes, including p53, ADAMTS proteases, and NOTCH3, and adopt a transcriptional program enriched for GBM proneural signatures, with reactome analysis pointing toward astrocytes with GBM-associated transcriptional traits. Moreover, nanoroughness mediates a cross-talk between cancer cells and astrocytes through induced senescence. These findings implicate a role for stochastic biophysical cues in driving a potential malignant transformation of astrocytes.

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Publication Details

Journal
Advanced Science
Published
2026-02-03
DOI
https://doi.org/10.1002/advs.202509362
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Stochastic Nanoscale Biophysical Cues as a Basis for the Induction of Glioblastoma‐Like Transcriptional Programs in Astrocytes

Bernd Heimrich, Tobias Butelmann, Gregor Hütter, Ritwick Sawarkar et al.
Advanced Science
Glioma Diagnosis and Treatment
article

Stochastic Nanoscale Biophysical Cues as a Basis for the Induction of Glioblastoma‐Like Transcriptional Programs in Astrocytes

Bernd Heimrich, Tobias Butelmann, Gregor Hütter, Ritwick Sawarkar, Laurent Starck, Melika Sarem, Marie‐Françoise Ritz, V. Prasad Shastri, Sabrina Hogan
article en

Abstract

Although direct biological factors underlying the progression of Glioblastoma (GBM), an aggressive form of brain cancer, have been extensively studied, emerging evidence suggests that indirect biological triggers, such as traumatic brain injury (TBI), may also have a role. Since proteoglycans, secreted by reactive astrocytes and astroglial cells contribute to biophysical characteristics (stochastic topography, stiffness) of the brain, we postulated a role for stochastic nanoroughness in the induction of glioma following brain trauma. Using a model system to emulate such physical cues that manifest following traumatic injury, we demonstrate that human cortical astrocytes undergo spontaneous organization into spheroids in response to nanoroughness and retain the spheroid phenotype even upon withdrawal of the physical cues. Furthermore, spheroids serve as aggregation foci for naïve astrocytes, express activated MMP2, and disseminate upon implantation in the mouse brain. RNA-seq analysis revealed that astrocytes within spheroids differentially express genes, including p53, ADAMTS proteases, and NOTCH3, and adopt a transcriptional program enriched for GBM proneural signatures, with reactome analysis pointing toward astrocytes with GBM-associated transcriptional traits. Moreover, nanoroughness mediates a cross-talk between cancer cells and astrocytes through induced senescence. These findings implicate a role for stochastic biophysical cues in driving a potential malignant transformation of astrocytes.

Advanced Science
University of Freiburg (DE), University Hospital of Basel (CH), Department of Biomedicine Basel (CH), Medical Research Council (GB)
Universität Basel, Deutsche Forschungsgemeinschaft, Swiss Cancer Research Foundation
Good health and well-being
Openalex Percentile: Top 68%
Glioma Diagnosis and Treatment
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