Publication:
High-throughput 3D glioblastoma model in glycosaminoglycan hydrogels for personalized therapeutic screening

dc.contributor.coauthorTrautmann R.K.
dc.contributor.coauthorDennison N.
dc.contributor.coauthorMcCortney K.
dc.contributor.coauthorKlier S.
dc.contributor.coauthorCosacak M.I.
dc.contributor.coauthorWerner C.
dc.contributor.coauthorHorbinski C.M.
dc.contributor.coauthorFreudenberg U.
dc.contributor.coauthorKizil C.
dc.contributor.departmentKUH (Koç University Hospital)
dc.contributor.kuauthorAkyoldaş, Göktuğ
dc.contributor.schoolcollegeinstituteKUH (KOÇ UNIVERSITY HOSPITAL)
dc.date.accessioned2026-02-26T07:11:58Z
dc.date.available2026-02-25
dc.date.issued2026
dc.description.abstractGlioblastoma (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.fulltextYes
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessHybrid OA
dc.description.openaccessGold OA
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuEU
dc.description.sponsorshipWe 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.versionN/A
dc.identifier.doi10.1002/mabi.202500394
dc.identifier.eissn1616-5195
dc.identifier.embargoNo
dc.identifier.grantno100545782
dc.identifier.issn1616-5187
dc.identifier.issue1
dc.identifier.pubmed41536151
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-105027478641
dc.identifier.urihttps://doi.org/10.1002/mabi.202500394
dc.identifier.urihttps://hdl.handle.net/20.500.14288/32437
dc.identifier.volume26
dc.identifier.wos001683406400033
dc.keywordsBioengineered tumor microenvironment
dc.keywordsGlioblastoma
dc.keywordsHigh-throughput screening
dc.keywordsPatient-derived cells
dc.keywordsPersonalized medicine
dc.keywordsstarPEG-heparin hydrogel
dc.language.isoeng
dc.publisherWiley
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofMacromolecular Bioscience
dc.relation.openaccessYes
dc.rightsCC BY-NC-ND (Attribution-NonCommercial-NoDerivs)
dc.rights.uriAttribution, Non-commercial, No Derivative Works (CC-BY-NC-ND)
dc.subjectOncology
dc.subjectTissue engineering
dc.titleHigh-throughput 3D glioblastoma model in glycosaminoglycan hydrogels for personalized therapeutic screening
dc.typeJournal Article
dspace.entity.typePublication
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