Publication: High-throughput 3D glioblastoma model in glycosaminoglycan hydrogels for personalized therapeutic screening
| dc.contributor.coauthor | Trautmann R.K. | |
| dc.contributor.coauthor | Dennison N. | |
| dc.contributor.coauthor | McCortney K. | |
| dc.contributor.coauthor | Klier S. | |
| dc.contributor.coauthor | Cosacak M.I. | |
| dc.contributor.coauthor | Werner C. | |
| dc.contributor.coauthor | Horbinski C.M. | |
| dc.contributor.coauthor | Freudenberg U. | |
| dc.contributor.coauthor | Kizil C. | |
| dc.contributor.department | KUH (Koç University Hospital) | |
| dc.contributor.kuauthor | Akyoldaş, Göktuğ | |
| dc.contributor.schoolcollegeinstitute | KUH (KOÇ UNIVERSITY HOSPITAL) | |
| dc.date.accessioned | 2026-02-26T07:11:58Z | |
| dc.date.available | 2026-02-25 | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Glioblastoma (GBM) is a devastating brain tumor with limited treatment success, partly because in vitro models poorly mimic in vivo complexity. This study introduces a high-throughput 3D culture platform utilizing modular starPEG–glycosaminoglycan (GAG) hydrogels that enable independent control of extracellular matrix (ECM) cues: stiffness, cytokine affinity, matrix metalloproteinase-responsive remodeling, and cell adhesiveness via integrin-binding RGD peptides. This platform supports encapsulation of patient-derived GBM cells, recreates physiologically relevant tumor microenvironments in 384-well plates, and enables automated drug testing on primary cells. Transcriptomic analyses show that 3D cultures recapitulate primary and recurrent GBM programs- including hypoxia-, immune-, and ECM-regulatory pathways driving growth, invasion, and resistance, without externally imposed hypoxia. The platform's versatility extends to drug screening, where single and combinatorial treatments produce reproducible cytoskeletal and transcriptomic responses. Notably, the system revealed dose-dependent reductions in invasive filaments and spheroid architecture with 5-fluorouracil/uridine and carmustine, demonstrating its potential for optimizing combinatorial therapies. This 3D model surpasses 2D cultures, capturing tumor-specific molecular programs and offering a robust tool for translational research. Despite lacking vascular or immune components, its tunability, scalability, and clinical relevance make it a strong basis for advanced co-cultures. By delivering reliable, individualized therapeutic data within a short timeframe, this model holds transformative potential for personalized GBM treatment. © 2026 The Author(s). Macromolecular Bioscience published by Wiley-VCH GmbH. | |
| dc.description.fulltext | Yes | |
| dc.description.harvestedfrom | Manual | |
| dc.description.indexedby | WOS | |
| dc.description.indexedby | Scopus | |
| dc.description.indexedby | PubMed | |
| dc.description.openaccess | Hybrid OA | |
| dc.description.openaccess | Gold OA | |
| dc.description.publisherscope | International | |
| dc.description.readpublish | N/A | |
| dc.description.sponsoredbyTubitakEu | EU | |
| dc.description.sponsorship | We thank Dr. Stanislava Popova for technical help and to Dr. Ihsan Solaroglu for patient\u2010derived cells. This work was supported primarily by European Union EFRE funding through Sachsische AufbauBank to Neuron D GmbH (F\u00F6rderungsnummer: 100545782). The Northwestern Nervous System Tumor Bank is supported by the P50CA221747 SPORE for Translational Approaches to Brain Cancer. We would like to thank Dresden Bioinnovationszentrum, Leibniz Institute of Polymer Research e.V, German Center for Neurodegenerative Diseases (DZNE), DRESDEN\u2010Concept Genome Center, and CRTD Imaging facility for their infrastructural and procedural help and support. A schematic element of Figure 1 was created using BioRender.com under an academic license. This manuscript underwent semantic refinement, structural clarity, flow analysis, and language precision by using ChatGPT (OpenAI), Jenni AI (Jenni Inc.), and DeepL (DeepL GmbH). The authors take sole responsibility for the scientific content and interpretations presented in this manuscript. | |
| dc.description.version | N/A | |
| dc.identifier.doi | 10.1002/mabi.202500394 | |
| dc.identifier.eissn | 1616-5195 | |
| dc.identifier.embargo | No | |
| dc.identifier.grantno | 100545782 | |
| dc.identifier.issn | 1616-5187 | |
| dc.identifier.issue | 1 | |
| dc.identifier.pubmed | 41536151 | |
| dc.identifier.quartile | Q2 | |
| dc.identifier.scopus | 2-s2.0-105027478641 | |
| dc.identifier.uri | https://doi.org/10.1002/mabi.202500394 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/32437 | |
| dc.identifier.volume | 26 | |
| dc.identifier.wos | 001683406400033 | |
| dc.keywords | Bioengineered tumor microenvironment | |
| dc.keywords | Glioblastoma | |
| dc.keywords | High-throughput screening | |
| dc.keywords | Patient-derived cells | |
| dc.keywords | Personalized medicine | |
| dc.keywords | starPEG-heparin hydrogel | |
| dc.language.iso | eng | |
| dc.publisher | Wiley | |
| dc.relation.affiliation | Koç University | |
| dc.relation.collection | Koç University Institutional Repository | |
| dc.relation.ispartof | Macromolecular Bioscience | |
| dc.relation.openaccess | Yes | |
| dc.rights | CC BY-NC-ND (Attribution-NonCommercial-NoDerivs) | |
| dc.rights.uri | Attribution, Non-commercial, No Derivative Works (CC-BY-NC-ND) | |
| dc.subject | Oncology | |
| dc.subject | Tissue engineering | |
| dc.title | High-throughput 3D glioblastoma model in glycosaminoglycan hydrogels for personalized therapeutic screening | |
| dc.type | Journal Article | |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | f91d21f0-6b13-46ce-939a-db68e4c8d2ab | |
| relation.isOrgUnitOfPublication.latestForDiscovery | f91d21f0-6b13-46ce-939a-db68e4c8d2ab | |
| relation.isParentOrgUnitOfPublication | 055775c9-9efe-43ec-814f-f6d771fa6dee | |
| relation.isParentOrgUnitOfPublication.latestForDiscovery | 055775c9-9efe-43ec-814f-f6d771fa6dee |
