Evidence map›Paper›PMID 42559402›Full record

ArticleTheranostics2026

A mechanobiology-driven cell-derived ECM bioink for engineering 3D glioblastoma tumor microenvironment models.

Seohyeon An, Seoyul Jo, GeunHyung Kim

Abstract read
In one paragraph

Article in Theranostics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Seohyeon AnDepartment of Precision Medicine, Sungkyunkwan University School of Medicine (SKKU-SOM), Suwon 16419, Republic of Korea.
Seoyul JoDepartment of Precision Medicine, Sungkyunkwan University School of Medicine (SKKU-SOM), Suwon 16419, Republic of Korea.
GeunHyung KimDepartment of Precision Medicine, Sungkyunkwan University School of Medicine (SKKU-SOM), Suwon 16419, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is highly aggressive and difficult to treat, partly due to the lack of Methods: Here, we describe a GBM-derived dECM bioink formulated through mechanically stimulated 3D GBM culture within GelMA/HAMA hydrogels. By controlling the matrix stiffness to match GBM tissue and applying various compressive stresses that mimic intracranial solid stress, we identified a mechanobiological activation range that maximized secretion of GBM-associated factors, including GDF15, MMP2, and MMP9. Results: The resulting bioink exhibited upregulated tumor-specific biochemical signals compared to hydrogel-only controls. Micromesh-bioprinted GBM constructs fabricated from this bioink demonstrated enhanced proliferation, invasion-related gene expression, and ECM remodeling. Co-culture with endothelial cells or fibroblasts further reconstructed stromal activation, paracrine signaling, and matrix dynamics associated with GBM progression and therapeutic resistance. Conclusion: This strategy establishes a reproducible, bioactive GBM-specific bioink platform for physiologically relevant 3D GBM modeling and GBM-on-chip applications.

Indexed as

Brain NeoplasmsExtracellular MatrixGlioblastomaTissue EngineeringTumor MicroenvironmentAnimalsBioprintingCell Line, TumorCell ProliferationCoculture TechniquesHumansHydrogelsPrinting, Three-DimensionalHydrogels3D bioprintingdECM bioinkglioblastomamechanobiologytumor microenvironment

Identifiers

PMID42559402
PMCPMC13440567

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.