Development of Advanced Preclinical Models for Pediatric Solid Tumors

儿科实体瘤先进临床前模型的开发

基本信息

项目摘要

PROJECT SUMMARY Pediatric solid tumors are a rare and highly heterogeneous collection of cancers. For many subtypes, progress in defining novel therapies has stalled over the last 10-20 years. Indeed, for most of these tumors chemotherapy continues to be the primary form of treatment and targeted therapies are not available. This lack of progress is likely due at least in part to the difficulty in developing clinical trials for individual histologic subtypes given their rarity. An alternative is to develop a robust preclinical testing program. Currently, such programs are limited by the lack of well-credentialed models that incorporate the most advanced technologies for genomic and functional characterization and do to the lack of good models for therapy-resistant and metastatic disease. Here we bring together two PIs with complimentary expertise to develop new approaches for validation and preclinical use of pediatric solid tumor animal models. Our focus is on the use of patient- derived xenografts for three most common histotypes: osteosarcoma, ewing sarcoma and rhabdomyosarcoma. PDX models are particularly well suited for studying highly heterogeneous tumors such as pediatric solid tumors. In Aim 1, we will develop novel advance PDX models that incorporate two key innovations: i) utilization of CRISPR/CAS9 technology for genetic interrogation and ii) autologous and allogeneic approaches for development of PDX models with a human immune system (hu-PDX). In Aim 2, we will develop novel computational tools to assess the similarity of PDX models to their tumor of origin and to evaluate human- mouse and mouse-mouse evolution which may impact clinical relevance. We will work closely with members of the Oncology Models Forum to develop scoring systems to assess this similarity and make these tools widely available to the modeling community. In Aim 3, we will evaluate intratumor heterogeneity during human-mouse and mouse-mouse evolution of PDX models using single cell RNAseq. We expect that the tools and models developed here will be widely applicable to other PDX models and that the specific models we develop will help facilitate preclinical research. We will make all tools and models widely accessible to the research community.
项目摘要 小儿实体瘤是一种罕见且高度异质的癌症。对于许多亚型,进度 在定义新的疗法中,过去10 - 20年一直停滞不前。确实,对于大多数这些肿瘤 化学疗法仍然是治疗的主要形式,并且没有靶向疗法。这 缺乏进步可能至少部分是由于难以开发单个组织学的临床试验 亚型鉴于它们的稀有性。另一种选择是制定强大的临床前测试程序。目前,这样 程序受到缺乏合并最先进技术的良好模型的限制 用于基因组和功能表征,并为缺乏抗治疗的良好模型和 转移性疾病。在这里,我们将两个PI和免费专业知识汇集在一起​​,以开发新方法 用于验证和临床前使用小儿实体瘤动物模型。我们的重点是使用患者 针对三种最常见的组织型的衍生异种移植物:骨肉瘤,尤因肉瘤和横纹肌肉瘤。 PDX模型特别适合研究高度异质肿瘤,例如小儿固体 肿瘤。在AIM 1中,我们将开发新颖的Advance PDX模型,结合了两个关键创新:i)利用率 CRISPR/CAS9技术用于遗传审查和ii)自体和同种异体方法 具有人类免疫系统(HU-PDX)的PDX模型的开发。在AIM 2中,我们将开发小说 计算工具评估PDX模型与其原籍肿瘤的相似性并评估人类 小鼠和小鼠小鼠的进化可能会影响临床相关性。我们将与 肿瘤学模型论坛开发评分系统以评估这种相似性并广泛使这些工具广泛 可用于建模社区。在AIM 3中,我们将评估人鼠期间的肿瘤内异质性 使用单细胞RNASEQ的PDX模型的小鼠小鼠演变。我们希望工具和模型 这里开发的将广泛适用于其他PDX模型,我们开发的特定模型将 有助于促进临床前研究。我们将使所有工具和模型都可以广泛访问 社区。

项目成果

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DAVID H HAUSSLER其他文献

DAVID H HAUSSLER的其他文献

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{{ truncateString('DAVID H HAUSSLER', 18)}}的其他基金

Data Resource and Administrative Coordination Center for the Scalable and Systematic Neurobiology of Psychiatric and Neurodevelopmental Disorder Risk Genes Consortium
精神科和神经发育障碍风险基因联盟的可扩展和系统神经生物学数据资源和行政协调中心
  • 批准号:
    10642251
  • 财政年份:
    2023
  • 资助金额:
    $ 58.95万
  • 项目类别:
Enhance UCSC Xena: extend interactive visualization to ultra-large-scale multi-omics data and integrate with analysis resources
增强 UCSC Xena:将交互式可视化扩展到超大规模多组学数据并与分析资源集成
  • 批准号:
    10687189
  • 财政年份:
    2021
  • 资助金额:
    $ 58.95万
  • 项目类别:
Center for Live Cell Genomics
活细胞基因组学中心
  • 批准号:
    10307037
  • 财政年份:
    2021
  • 资助金额:
    $ 58.95万
  • 项目类别:
Enhance UCSC Xena: extend interactive visualization to ultra-large-scale multi-omics data and integrate with analysis resources
增强 UCSC Xena:将交互式可视化扩展到超大规模多组学数据并与分析资源集成
  • 批准号:
    10187394
  • 财政年份:
    2021
  • 资助金额:
    $ 58.95万
  • 项目类别:
Enhance UCSC Xena: extend interactive visualization to ultra-large-scale multi-omics data and integrate with analysis resources
增强 UCSC Xena:将交互式可视化扩展到超大规模多组学数据并与分析资源集成
  • 批准号:
    10430132
  • 财政年份:
    2021
  • 资助金额:
    $ 58.95万
  • 项目类别:
Center for Live Cell Genomics
活细胞基因组学中心
  • 批准号:
    10676332
  • 财政年份:
    2021
  • 资助金额:
    $ 58.95万
  • 项目类别:
Nanoparticle Tracking Analyzer (NTA) for the Center for Live Cell Genomics
用于活细胞基因组学中心的纳米颗粒跟踪分析仪 (NTA)
  • 批准号:
    10817569
  • 财政年份:
    2021
  • 资助金额:
    $ 58.95万
  • 项目类别:
Enabling Comparative Pangenomics
实现比较泛基因组学
  • 批准号:
    10555318
  • 财政年份:
    2020
  • 资助金额:
    $ 58.95万
  • 项目类别:
Development of Advanced Preclinical Models for Pediatric Solid Tumors
儿科实体瘤先进临床前模型的开发
  • 批准号:
    10356873
  • 财政年份:
    2020
  • 资助金额:
    $ 58.95万
  • 项目类别:
Center for Big Data in Translational Genomics
转化基因组学大数据中心
  • 批准号:
    9277519
  • 财政年份:
    2014
  • 资助金额:
    $ 58.95万
  • 项目类别:

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减少编程错误:基于认证内核的全新的快捷依赖类型PiSigma高级编程语言开发
  • 批准号:
    61070023
  • 批准年份:
    2010
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The role of plasmacytoid dendritic cells in corneal immunity
浆细胞样树突状细胞在角膜免疫中的作用
  • 批准号:
    10640026
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用于细胞治疗和转化自身免疫性疾病建模的非病毒基因编辑平台
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  • 财政年份:
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Cell Competition in Myeloproliferative Neoplasms
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