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From patient to tumor organoid: Culture protocol choice controls glioblastoma tumor architecture and identity.

Overview

Authors: Jana Slovackova1,2, Ondrej Bernatik1, Katarina Cimborova1, Martin Barak3, Michal Hendrych4, Karolina Kocourkova1,2, Marie Sulcova1, Jaroslav Olha1, Katerina Amruz Cerna1, Zdenek Hodny5, Radim Jancalek3, Dasa Bohaciakova1,2
  1. Department of Histology and Embryology, Faculty of Medicine Masaryk University Brno Czech Republic
  2. International Clinical Research Center St. Anne's University Hospital Brno Brno Czech Republic
  3. Department of Neurosurgery, Faculty of Medicine Masaryk University and St. Anne's University Hospital Brno Brno Czech Republic
  4. First Department of Pathology, Faculty of Medicine Masaryk University and St. Anne's University Hospital Brno Brno Czech Republic
  5. Laboratory of Genome Integrity Institute of Molecular Genetics of the Czech Academy of Sciences Prague 4 Czech Republic
Journal: Brain pathology (Zurich, Switzerland), article e70125
Dates: received 5 May 2026; accepted 7 July 2026; published online 26 July 2026; in print July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1111/bpa.70125 · PMID 42503464 · PMCID PMC13402234 · OpenAlex W7171285280
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), human (organism), other condition (population), clinical / translational (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Evoked potentials, Connectivity
Keywords: extracellular matrix, glioblastoma, proteomics, tumor microenvironment, tumor organoids
Topic: Cancer Cells and Metastasis (Oncology, Medicine), according to OpenAlex
Citations: cited by 1 paper (Europe PMC); 55 references in the paper

Abstract

Patient‐derived tumor organoids are widely used in cancer research, yet the biological impact of tissue processing during model generation remains unclear. Fragment‐based and dissociation‐based (DIS) approaches are commonly assumed to trade fidelity for uniformity, but their molecular consequences remain incompletely defined. To address this gap, we performed a proteome‐wide comparison of fragment‐based (cut‐and‐culture [CUT]) and DIS glioblastoma organoid protocols using quantitative mass spectrometry. Organoids from multiple patient tumors were cultured under growth factor‐free or growth factor‐supplemented conditions and compared with matched primary tissue. Results show that both protocols produced technically robust glioblastoma organoids when maintained in their native media. However, CUT organoids matched the reproducibility of DIS cultures while preserving a broader extracellular matrix (ECM) repertoire and networks linked to collagen assembly, vascular support, and cell–matrix signaling. DIS cultures were biased toward exogenous basement membrane components and proliferative, growth factor‐responsive states. Across tumors, CUT organoids consistently showed greater proteomic similarity to matched primary tissue, retaining neural, glial, stromal, and extracellular features largely absent from DIS models. Taken together, fragment‐based glioblastoma organoids can be both reproducible and biologically faithful. Tissue dissociation acts as a major perturbation that reshapes ECM organization, cellular states, and tumor identity, making protocol choice a critical determinant of model fidelity and translational relevance.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

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Data

Datasets cited

Data availability statement

The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE [55] partner repository with the dataset identifier PXD078816. All other data supporting the findings of this study are available from the corresponding author upon reasonable request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, pages, dates, 12 authors, 5 keywords, 4 funders, 51 references.

Cite

This paper

Slovackova, J., Bernatik, O., Cimborova, K., Barak, M., Hendrych, M., Kocourkova, K., Sulcova, M., Olha, J., Cerna, K. A., Hodny, Z., Jancalek, R., & Bohaciakova, D. (2026). From patient to tumor organoid: Culture protocol choice controls glioblastoma tumor architecture and identity. Brain pathology (Zurich, Switzerland), e70125. https://doi.org/10.1111/bpa.70125

BibTeX

@article{slovackova2026patient,
author = {Slovackova, Jana and Bernatik, Ondrej and Cimborova, Katarina and Barak, Martin and Hendrych, Michal and Kocourkova, Karolina and Sulcova, Marie and Olha, Jaroslav and Cerna, Katerina Amruz and Hodny, Zdenek and Jancalek, Radim and Bohaciakova, Dasa},
title = {{From patient to tumor organoid: Culture protocol choice controls glioblastoma tumor architecture and identity}},
journal = {Brain pathology (Zurich, Switzerland)},
year = {2026},
month = jul,
pages = {e70125},
publisher = {Wiley},
issn = {1015-6305},
doi = {10.1111/bpa.70125},
url = {https://doi.org/10.1111/bpa.70125},
pmid = {42503464},
pmcid = {PMC13402234}
}

RIS

TY - JOUR
AU - Slovackova, Jana
AU - Bernatik, Ondrej
AU - Cimborova, Katarina
AU - Barak, Martin
AU - Hendrych, Michal
AU - Kocourkova, Karolina
AU - Sulcova, Marie
AU - Olha, Jaroslav
AU - Cerna, Katerina Amruz
AU - Hodny, Zdenek
AU - Jancalek, Radim
AU - Bohaciakova, Dasa
TI - From patient to tumor organoid: Culture protocol choice controls glioblastoma tumor architecture and identity
T2 - Brain pathology (Zurich, Switzerland)
J2 - Brain Pathol
PY - 2026
DA - 2026/07/26
SP - e70125
SN - 1015-6305
PB - Wiley
DO - 10.1111/bpa.70125
UR - https://doi.org/10.1111/bpa.70125
LA - en
ER -

CSL-JSON

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