Evidence map›Paper›PMID 40567026›Full record

ReviewCancer medicine2025

Narrative Review of Patient Cancer Tissue-Derived Zebrafish Xenograft Models for Evaluating Drug Sensitivity as an Avatar Model for Clinical Application.

Yusuke Sugino, Xin Bao, Takumi Kageyama, Sho Sekito, Shiori Miyachi, Takeshi Sasaki, Toshio Tanaka, Takahiro Inoue

Abstract readReview
In one paragraph

Review in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Yusuke SuginoDepartment of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Tsu, Japan.
Xin BaoDepartment of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Tsu, Japan.
Takumi KageyamaDepartment of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Tsu, Japan.ORCID https://orcid.org/0000-0003-3690-2973
Sho SekitoDepartment of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Tsu, Japan.
Shiori MiyachiDepartment of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Tsu, Japan.
Takeshi SasakiDepartment of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Tsu, Japan.
Toshio TanakaCenter for Medical Zebrafish Research, Mie University, Tsu, Japan.
Takahiro InoueDepartment of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Tsu, Japan.ORCID https://orcid.org/0000-0001-8586-784X

Funding

Japan Society for the Promotion of Science 24K02576
6 · The paper itself

Abstract

In the pursuit of optimal medical care, treatment selection based on the molecular analysis of genomes, transcriptomes, and proteomes has been explored; however, this approach relies on data from large patient groups, resulting in limited accuracy in predicting treatment efficacy. Diseases involve complex pathological networks, requiring treatments that target multiple key molecules in these networks. Drug screening using these networks, which cannot be achieved through a gene expression analysis alone, requires animal models. Zebrafish embryos have an immature immune system, allowing for a high engraftment rate of human cancer cells transplanted within 48 h after fertilization. Consequently, the time required for engraftment is also reduced. Less than 500 human cancer cells are required for transplantation, enabling the assessment of drug efficacy from clinical samples within approximately 1 week. The cost of raising zebrafish is low, drug efficacy can be evaluated using small amounts of drugs, and their use aligns closely with animal welfare standards. This review aims to discuss the technical aspects of evaluating drug efficacy using zebrafish patient cancer tissue-derived xenograft (zPDX) models and summarize previous studies using zPDX as an avatar model for personalized medicine.

Indexed as

Antineoplastic AgentsNeoplasmsXenograft Model Antitumor AssaysAnimalsAvatarDisease Models, AnimalDrug Screening Assays, AntitumorHumansPrecision MedicineZebrafishAntineoplastic Agentsavatardrug sensitivityhuman cancer tissuespatient‐derived xenograft modelzebrafish

Identifiers

PMID40567026
PMCPMC12198658

What OpenQuestion holds

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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 OpenQuestion graph.