Evidence map›Paper›PMID 41613252›Full record

ReviewSmall science2026

Bridging the Gap: How Organ-on-a-Chip Technology Facilitates the Battle against Glioma.

Su Liu, Zhenyu Gong, Dairan Zhou, Vanesa Ayala-Nunez, Tao Xu, Peter Wick

Abstract readReview
In one paragraph

Review in Small science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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

6 authors.

Su LiuNanomaterials in Health Laboratory Swiss Federal Laboratories for Materials Science and Technology (Empa) St. Gallen 9014 Switzerland.ORCID https://orcid.org/0000-0002-7398-4966
Zhenyu GongDepartment of Neurosurgery Klinikumrechts der Isar Technical Uinversity of Munich 81675 Munich Germany.
Dairan ZhouDepartment of Neurosurgery Shanghai Changzheng Hospital Naval Medical University Shanghai 200003 P. R. China.
Vanesa Ayala-NunezNanomaterials in Health Laboratory Swiss Federal Laboratories for Materials Science and Technology (Empa) St. Gallen 9014 Switzerland.
Tao XuDepartment of Neurosurgery Shanghai Changzheng Hospital Naval Medical University Shanghai 200003 P. R. China.ORCID https://orcid.org/0000-0003-1984-1689
Peter WickNanomaterials in Health Laboratory Swiss Federal Laboratories for Materials Science and Technology (Empa) St. Gallen 9014 Switzerland.ORCID https://orcid.org/0000-0002-0079-4344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma, a highly aggressive brain tumor, presents significant challenges in understanding its complex pathophysiology and developing effective treatments. This review critically examines the current glioma modeling platforms, including 2D culture, 3D cultures, glioma-on-a-chip (GoC) models, and animal models, with a focus on their applications in recapitulating the tumor microenvironment and evaluating treatment effectiveness. Particular attention is given to microfluidic GoC models, which offer unique capabilities to mimic the pathophysiological complexity of glioblastoma, including its interactions with the blood-brain barrier (BBB) and tumor vascularization. Recent advancements in these models are explored, highlighting their potential for clinical translation through improved understanding of drug permeability on the central nervous system, tumor progress, and therapeutic responses. In the end, the review discusses the clinical perspective of GoC applications and establishes key criteria for designing robust and clinically relevant glioma models. By addressing these challenges and highlighting future opportunities, the critical role of GoC platforms in bridging the gap between preclinical research and clinical outcomes is emphasized, offering a promising approach for more personalized and effective glioma therapies.

Indexed as

clinical impactsgliomaglioma‐on‐a‐chip modelsmicrofluidic devicespreclinical models

Identifiers

PMID41613252
PMCPMC12850162

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.