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Cancer Research
比較薬評価の宿主としてゼブラフィッシュ幼虫を用いた膵臓癌の患者由来異種異種移植片モデル
比較薬評価の宿主としてゼブラフィッシュ幼虫を用いた膵臓癌の患者由来異種異種移植片モデル
JoVE Journal
Cancer Research
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JoVE Journal Cancer Research
Patient-derived Heterogeneous Xenograft Model of Pancreatic Cancer Using Zebrafish Larvae as Hosts for Comparative Drug Assessment

比較薬評価の宿主としてゼブラフィッシュ幼虫を用いた膵臓癌の患者由来異種異種移植片モデル

Full Text
9,675 Views
09:56 min
April 30, 2019

DOI: 10.3791/59507-v

Lei Wang*1, Huan Chen*2,3, Fei Fei*1, Xianfeng He2,3, Shaoyang Sun1, Kunpeng Lv1, Bo Yu2,3, Jiang Long2,4,5,6, Xu Wang1

1Department of Biochemistry and Molecular Biology, Key Laboratory of Metabolism and Molecular Medicine, Ministry of Education, School of Basic Medical Sciences,Fudan University, 2National Human Genetic Resources Sharing Service Platform (2005DKA21300), 3Fudan University Shanghai Cancer Center, 4Department of Pancreatic Surgery,Fudan University Shanghai Cancer Center, 5Department of Oncology, Shanghai Medical College,Fudan University, 6Pancreatic Cancer Institute,Fudan University

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Overview

This protocol describes a virus-based dual fluorescence-labeled tumor xenograft model using larval zebrafish as hosts. This model mimics the pancreatic cancer microenvironment in vivo, providing a precise tool for assessing drug responses in personalized zPDX models.

Key Study Components

Area of Science

  • Neuroscience
  • Oncology
  • Pharmacology

Background

  • Larval zebrafish can mimic human tissue composition.
  • The model enhances consistency in drug response analysis.
  • Fluorescent labeling allows real-time tracking of cellular compositions.
  • Improved survival of human cells in zebrafish extends observation time.

Purpose of Study

  • To develop a more accurate model for drug testing in pancreatic cancer.
  • To facilitate personalized medicine approaches.
  • To assess pre-clinical tumor drug responses effectively.

Methods Used

  • Use of larval zebrafish as hosts for tumor xenografts.
  • Application of dual fluorescence labeling techniques.
  • Real-time tracing of cellular compositions during drug testing.
  • Genetic modification of zebrafish to enhance human cell survival.

Main Results

  • The model successfully mimics the pancreatic cancer microenvironment.
  • Fluorescent labeling improved tracking of drug responses.
  • Increased survival time of human cells was observed.
  • The approach shows promise for personalized medicine applications.

Conclusions

  • The zebrafish model is a valuable tool for cancer research.
  • It enhances the assessment of drug efficacy in personalized treatments.
  • Future studies can build on this model for further advancements.

Frequently Asked Questions

What is a zebrafish PDX model?
A zebrafish PDX model uses larval zebrafish to host human tumors, allowing for real-time drug response analysis.
How does fluorescence labeling work in this model?
Fluorescence labeling involves using chemical dyes to mark different cell types, enabling tracking during experiments.
What are the advantages of using zebrafish for drug testing?
Zebrafish models provide a more accurate mimic of human tissue and improve the survival of human cells for extended observation.
Can this model be used for other types of cancer?
While this study focuses on pancreatic cancer, the model may be adapted for other cancers in future research.
What is the significance of personalized medicine in cancer treatment?
Personalized medicine tailors treatment to individual patient profiles, potentially improving outcomes and reducing side effects.
How can researchers access the full study?
Researchers can view the full study and access additional resources through the JoVE platform.

このプロトコルは、幼虫ゼブラフィッシュを宿主として用いたウイルスベースの二重蛍光標識腫瘍異種移植片モデルにおける最適化手順について説明する。この異種異種異種移植片モデルは、生体内の膵臓癌微小環境の組織組成を模倣し、パーソナライズされたzPDX(ゼブラフィッシュ患者由来異種移植片)モデルにおける薬物応答を評価するためのより正確なツールとして機能する。

今日は幼虫ゼブラフィッシュPDXモデルを紹介します。このモデルは、薬物応答を評価するための異種移植片の同様の細胞組成をよりよく模倣し、比較分析による結果の一貫性をさらに向上させることができるため、重要です。この手法には、主に 2 つの利点があります。

まず、さまざまな標準的な化学染料を使用して細胞を異なる蛍光に標識し、細胞組成のリアルタイムトレースとアナグラフ段階の能力を可能にします。第二に、それはまた、ゼブラフィッシュのヒト細胞の一般的な生存時間を改善し、その遺伝子改変は、薬物検査のためのより長い観察ウィンドウを提供する。この技術は、膵臓癌患者のためのパーソナライズされた医療のための潜在的なモデルを提供し、また、前臨床腫瘍薬の事前評価のために。

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