Evidence map›Paper›PMID 40630952›Full record

ReviewFrontiers in immunology2025

Zebrafish models in glioma research: advances in methodologies, mechanistic insights, and therapeutic frontiers.

Runchao Tao, Junying Qu, Jing Zhao, Baihui Wu, Huaibiao Xu, Liangwei Yang, Hongru Qin, Rongbing Chen, Qinsi Yang, Yongwei Cheng and 3 more

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Runchao Tao *Institute of Life Sciences and Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou, China.
Junying Qu *Institute of Life Sciences and Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou, China.
Jing Zhao *Institute of Life Sciences and Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou, China.
Baihui WuInstitute of Life Sciences and Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou, China.
Huaibiao XuInstitute of Life Sciences and Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou, China.
Liangwei YangThe First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China.
Hongru QinThe First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China.
Rongbing ChenDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Qinsi YangWenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, China.
Yongwei ChengNational Engineering Research Center of Cell Growth Factor Drugs and Protein Biologics, Wenzhou Medical University, Wenzhou, China.
Wei WuKey Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing, China.
Da SunInstitute of Life Sciences and Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou, China.
Min CaoThe Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is the most common primary malignant brain tumor, which faces great challenges in clinical treatment due to its high invasiveness and resistance to existing treatments. In recent years, the zebrafish model has gradually become an important tool for glioma research due to its advantages such as easy genetic manipulation, strong optical transparency, and suitability for high-throughput imaging and drug screening. This article systematically reviews the three main strategies for zebrafish glioma modeling - chemical mutagenesis, genetic engineering and xenotransplantation, and describes their research applications in tumorigenesis, invasion process and treatment response. At the same time, this article deeply analyzes the limitations of the zebrafish model in terms of temperature differences, delayed development of the blood-brain barrier and immature immune system, and introduces the cutting-edge progress in recent years in the fields of CRISPR-mediated immune regulation, construction of high-temperature resistant strains and development of humanized models. Through a comprehensive review of current research applications, key challenges and future development directions, this article emphasizes the potential value of the zebrafish model as an important supplement to the mammalian model in exploring the immune mechanism of glioma and developing innovative treatment strategies.

Indexed as

Brain NeoplasmsDisease Models, AnimalGliomaZebrafishAnimalsHumansgene editinggliomatumor microenvironmentxenograftingzebrafish

Identifiers

PMID40630952
PMCPMC12234541

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.