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骨肉瘤肺转移患者来源异种移植模型的建立和表征

李炟 易涛 杨玉琴

东华大学学报(英文版)2026,Vol.43Issue(3):92-100,9.
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东华大学学报(英文版)2026,Vol.43Issue(3):92-100,9.DOI:10.19884/j.1672-5220.202503030

骨肉瘤肺转移患者来源异种移植模型的建立和表征

Establishment and Characterization of Patient-Derived Xenograft Models for Osteosarcoma Lung Metastases

李炟 1易涛 1杨玉琴2

作者信息

  • 1. 东华大学 化学与化工学院,上海 201620
  • 2. 上海交通大学 医学院附属上海市第一人民医院 实验动物中心,上海 200080
  • 折叠

摘要

Abstract

This study aims to investigate the feasibility and optimization of patient-derived xenograft(PDX)models for osteosarcoma lung metastases by comparing subrenal capsule and subcutaneous implantation methods.Three osteosarcoma lung metastasis samples meeting the inclusion criteria were implanted into NDG mice using both methods.Tumor growth,histological characteristics,immunohistochemical marker expression,and gene expression profiles were analyzed at eight weeks post-implantation.All three samples successfully established PDX models,with subrenal capsule implantation yielding significantly larger tumor volumes in two cases(p<0.05).Histopathological and immunohistochemical analyses demonstrated high morphological similarity between the two models,with Ki67,CD99,and PD-L1 expression retained.Transcriptomic sequencing revealed a strong correlation in global gene expression between the two models(R>0.8),with osteosarcoma-specific genes displaying similar expression patterns.These findings suggest that subrenal capsule implantation provides a stable and efficient approach for generating PDX models from limited osteosarcoma lung metastasis tissues while maintaining key biological characteristics comparable to those of subcutaneous models.

关键词

骨肉瘤/肺转移/PDX模型/肾包膜移植/皮下移植

Key words

osteosarcoma/lung metastasis/patient-derived xenograft(PDX)model/subrenal capsule implantation/subcutaneous implantation

分类

医药卫生

引用本文复制引用

李炟,易涛,杨玉琴..骨肉瘤肺转移患者来源异种移植模型的建立和表征[J].东华大学学报(英文版),2026,43(3):92-100,9.

基金项目

Science and Technology Innovation Action Plan of Shanghai Science and Technology Commission(No.23141903200) (No.23141903200)

东华大学学报(英文版)

1672-5220

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