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最近の記事

2025/11/17
Narrative Review of Patient Cancer Tissue-Derived Zebrafish Xenograft Models for Evaluating Drug Sensitivity as an Avatar Model for Clinical Application
2025/10/31
Zebrafish Xenograft Model for Predicting Cisplatin Efficacy in Muscle-Invasive Bladder Cancer
2025/10/16
AI-Driven Image Analysis for Precision Screening Transposon-Mediated Transgenesis of NFκB eGFP Reporter System in Zebrafish
2025/08/06
Variation and classification of chemically-induced zebrafish malformations for the ICH S5 (R3) guideline: an atlas for zebrafish teratogenesis
2024/08/06
Validation of a new protocol for a zebrafish MEFL (malformation or embryo-fetal lethality) test method that conforms to the ICH S5 (R3) guideline
2024/05/21
In vivo assessment of individual and total proteinuria in zebrafish larvae using the solvatochromic compound ZMB741
2021/10/31
Generation of a Transgenic Zebrafish Line for In Vivo Assessment of Hepatic Apoptosis
2021/08/19
Patient-Derived Cancer Xenograft Zebrafish Model (PDXZ) for Drug Discovery Screening and Personalized Medicine
2021/07/09
Establishment of a Quality Control Protocol for Zebrafish Developmental Toxicity Studies
2020/10/13
Gap junction protein beta 4 plays an important role in cardiac function in humans, rodents, and zebrafish

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2025/11/17
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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

Cancer Med. 2025 Jul;14(13):e70942. doi: 10.1002/cam4.70942.

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.

関連リンク

  • PubMed
  • Cancer Medicine