Generation of heterotypic primary human spheroids from glioblastoma resections and (pre-)clinical applications

dc.contributor.authorWiener, Sophia Elisa
dc.contributor.authorConrad, Jens
dc.contributor.authorJavid, Saman
dc.contributor.authorGieß, Sophie
dc.contributor.authorJägersberg, Max
dc.contributor.authorKrenzlin, Harald
dc.contributor.authorKeric, Naureen
dc.contributor.authorRégnier-Vigouroux, Anne
dc.contributor.authorGeiß, Carsten
dc.date.accessioned2026-07-28T10:03:50Z
dc.date.issued2026
dc.description.abstractThe rapid expansion of individualized treatment strategies necessitates advanced patient-specific screening platforms recapitulating tumor complexity. Here, we present such a platform preserving heterotypic cellular interactions and three-dimensional architecture which are both critical for predicting therapeutic responses. This cost-effective and versatile platform allows the rapid generation and functional testing of spheroids derived from primary human glioblastoma specimens. To maximize accessibility and ease of integration, we took advantage of commercially available kits to optimize the protocol of spheroid generation we had previously established. This enabled the robust, adaptable, and reproducible formation of homogeneous, multicellular spheroids within a few days. Spheroids generated from one patient specimen were structurally stable and showed a high degree of homogeneity over time. Immunohistochemical and flow cytometric analyses further revealed patient-specific cellular heterogeneity, underscoring the platform’s ability to preserve clinically relevant tumor features. Functionally, we demonstrate the applicability of this system for drug response profiling by assessing invasion dynamics following treatment with clinically relevant compounds. Collectively, our results establish a scalable and adaptable 3D screening platform that enables rapid, patient-specific phenotypic and functional analyses. This approach provides a powerful tool to complement existing clinical workflows and holds promise for improving the prediction of therapeutic responses in glioblastoma.en
dc.identifier.doihttps://doi.org/10.25358/openscience-15969
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/15990
dc.language.isoeng
dc.rightsCC-BY-4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc570 Biowissenschaftende
dc.subject.ddc570 Life sciencesen
dc.subject.ddc610 Medizinde
dc.subject.ddc610 Medical sciencesen
dc.titleGeneration of heterotypic primary human spheroids from glioblastoma resections and (pre-)clinical applicationsen
dc.typeZeitschriftenaufsatz
elements.depositor.primary-group-descriptorFachbereich Biologie
elements.object.id300429
elements.object.labels31 Biological sciences
elements.object.labels32 Biomedical and clinical sciences
elements.object.typejournal-article
jgu.apc.membershipMDPI (MDPI)
jgu.apc.netprice2075,71
jgu.apc.price2470,09
jgu.apc.taxrate19
jgu.dfg.year2026
jgu.identifier.uuidbfcb1505-68d1-418e-abc0-81ef6986685c
jgu.journal.issue11
jgu.journal.titleCells
jgu.journal.volume15
jgu.nationalcurrency.eur2075,71
jgu.organisation.departmentFB 10 Biologie
jgu.organisation.departmentFB 04 Medizin
jgu.organisation.nameJohannes Gutenberg-Universität Mainz
jgu.organisation.number7970
jgu.organisation.number2700
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.pages.alternative1021
jgu.publisher.doi10.3390/cells15111021
jgu.publisher.eissn2073-4409
jgu.publisher.nameMDPI
jgu.publisher.placeBasel
jgu.publisher.year2026
jgu.rights.accessrightsopenAccess
jgu.subject.ddccode570
jgu.subject.ddccode610
jgu.subject.dfgLebenswissenschaften
jgu.type.dinitypeArticleen_GB
jgu.type.resourceText
jgu.type.versionPublished version

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