Injectable bioresorbable conductive hydrogels for multimodal brain tumor electroimmunotherapy

Current electrode technologies are too rigid for safe and effective delivery of electrotherapy in the brain, and patients with glioblastoma continue to face a devastating prognosis, with median survival stalled at 15 months despite intensive treatment with surgery, radiation, and chemotherapy. But these conventional approaches potentially compromise immune function, underscoring the urgent need for therapies that activate, rather than suppress, the immune system. Therefore, we introduce injectable conductive hydrogels engineered to match the softness of brain tissue while exhibiting electrical conductivities up to three orders of magnitude higher than any previously reported injectable hydrogels. They can be implanted through minimally invasive syringe capillaries as narrow as 30 µm-avoiding brain tissue damage-and via convection-enhanced delivery (CED) or endovascular catheters, the latter potentially eliminating the need for open brain surgery. Additionally, it can drape a resection cavity to eliminate residual tumor cells. In human glioblastoma tumors in the chicken chorioallantoic membrane model, implantation of the electrode using CED, followed by irreversible electroporation, obliterated tumors within three days. Other injection techniques impaired tumor growth, induced immunogenic cell death, and a robust infiltration of helper and cytotoxic T cells, alongside macrophages, highlighting the immune-activating and tumor-targeting capabilities.

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Publication Details

Journal
Nature Communications
Published
2025-11-03
DOI
https://doi.org/10.1038/s41467-025-65785-x
Citations
2
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
1.82

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article

Injectable bioresorbable conductive hydrogels for multimodal brain tumor electroimmunotherapy

Muhammad Anwar Shameem, Peter Ekström, Roger Olsson, Johan Bengzon et al.
2 citations
Nature Communications
Neuroscience and Neural Engineering
1.82
article

Injectable bioresorbable conductive hydrogels for multimodal brain tumor electroimmunotherapy

Muhammad Anwar Shameem, Peter Ekström, Roger Olsson, Johan Bengzon, Umut Aydemir, Cedric Dicko, Fredrik Ek, Abdelrazek H. Mousa, Karin Hellman, Amit Singh Yadav, Jiaxin Li, Martin Hjort
article en
2 citations

Abstract

Current electrode technologies are too rigid for safe and effective delivery of electrotherapy in the brain, and patients with glioblastoma continue to face a devastating prognosis, with median survival stalled at 15 months despite intensive treatment with surgery, radiation, and chemotherapy. But these conventional approaches potentially compromise immune function, underscoring the urgent need for therapies that activate, rather than suppress, the immune system. Therefore, we introduce injectable conductive hydrogels engineered to match the softness of brain tissue while exhibiting electrical conductivities up to three orders of magnitude higher than any previously reported injectable hydrogels. They can be implanted through minimally invasive syringe capillaries as narrow as 30 µm-avoiding brain tissue damage-and via convection-enhanced delivery (CED) or endovascular catheters, the latter potentially eliminating the need for open brain surgery. Additionally, it can drape a resection cavity to eliminate residual tumor cells. In human glioblastoma tumors in the chicken chorioallantoic membrane model, implantation of the electrode using CED, followed by irreversible electroporation, obliterated tumors within three days. Other injection techniques impaired tumor growth, induced immunogenic cell death, and a robust infiltration of helper and cytotoxic T cells, alongside macrophages, highlighting the immune-activating and tumor-targeting capabilities.

Nature CommunicationsVol. 16(1)
King Fahd University of Petroleum and Minerals (SA), Lund University (SE), University of Gothenburg (SE)
Cancerfonden, Lunds Universitet, Vetenskapsrådet, Barncancerfonden
Openalex Percentile: Top 13%
Neuroscience and Neural Engineering
1.82
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