Patient Derived Cancer Model (PDCM) Finder

患者衍生癌症模型 (PDCM) 查找器

基本信息

批准号：
10456865
负责人：
Helen Elizabeth Parkinson
金额：
$ 46.88万
依托单位：
EUROPEAN MOLECULAR BIOLOGY LABORATORY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-10 至 2025-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10456865
关键词：
3-Dimensional Address Adoption American Association of Cancer Research Architecture Area Awareness Cancer Center Cancer Model Cancer Patient Cancer cell line Catalogs Cell Line Collection Communities Community Outreach Data Data Discovery Data Set Development Diagnosis Disease Progression Drug Evaluation Drug resistance Educational workshop Ensure Evolution FAIR principles Feedback Future Growth Human Immune system Investments Malignant Neoplasms Modeling Molecular Mus Mutation NCI Thesaurus Nomenclature Oncogenic Ontology Organoids Outcome Patients Pharmaceutical Preparations Pharmacogenomics Publications Research Research Personnel Resistance development Resource Development Resources Scientist Semantics Services Surveys Testing The Jackson Laboratory Training Transplantation Tumor Biology Tumor-Derived Visualization software Work Xenograft Model anticancer research base clinical decision-making cloud based data acquisition data ecosystem data harmonization data modeling data submission drug candidate ethnic minority experience improved interoperability knowledgebase meetings minority children molecular modeling mouse model next generation novel novel therapeutics outreach patient derived xenograft model patient population prevent repository response screening social media tool tumor tumor xenograft

项目摘要

Project Summary - Patient Derived Cancer Model (PDCM) Finder An area of significant growth in cancer research is the diversity and volume of low passage human cancer cell lines, three-dimensional organoid cultures and patient-derived tumor xenografts (PDX) known as Patient Derived Cancer Models (PDCM). This project will therefore aggregate, harmonize and integrate diverse PDCM data, extending our previous resource PDX Finder by inclusion of novel models, making these FAIR (Findable, Accessible, Interoperable, Reusable) compliant and cloud accessible, for example in the NCI Research Commons. PCDM Finder will address challenges with searching over many repositories for models, incompatible standards that make analysis and reuse of models difficult, molecular datasets annotated with insufficient information that prevent cloud-based analyses and the need for more community awareness in providing FAIR- compliant data to maximize the impact of their work. To address these challenges, PDCM Finder has 3 tasks: 1) Enable cancer researchers to Find and Access models by enhancing our current resource to deliver the PDCM Finder, 2) Aggregate and Integrate PDCM datasets to ensure Interoperability and Reusability for the NCI Cancer Research Commons, and 3) Perform targeted community outreach during all stages of the project to determine and prioritize requirements, guide development and promote the PDCM Finder resource. The expected outcomes are users will be able to find, group and locate PDCM models of all types based on community defined attributes (e.g. diagnosis, oncogenic mutation); explore and download molecular data summaries and drug response data from the PDCM portal; aggregate and analyze harmonized PDCM molecular datasets on cloud based analysis platforms. This will accelerate cancer research by allowing doctors and researchers to find PDCM data that best matches their patients and/or research questions and explore new therapeutic avenues for patients.

项目摘要 - 患者衍生癌症模型 (PDCM) 查找器癌症研究显着增长的一个领域是低传代人类癌细胞的多样性和体积细胞系、三维类器官培养物和患者来源的肿瘤异种移植物 (PDX)（称为“患者衍生”）癌症模型（PDCM）。因此，该项目将汇总、协调和整合不同的 PDCM 数据，通过包含新颖的模型来扩展我们之前的资源 PDX Finder，使这些模型变得公平（可查找，可访问、可互操作、可重复使用）兼容且可通过云访问，例如在 NCI 研究中公共资源。 PCDM Finder 将解决在多个存储库中搜索模型、不兼容的挑战标准使模型的分析和重用变得困难，分子数据集注释不足阻止基于云的分析的信息以及需要更多社区意识来提供公平- 合规数据以最大限度地发挥其工作的影响。为了应对这些挑战，PDCM Finder 有 3 项任务：1) 通过增强我们现有的资源来提供 PDCM，使癌症研究人员能够查找和访问模型 Finder，2) 聚合和集成 PDCM 数据集以确保 NCI 癌症的互操作性和可重用性研究共享，以及 3) 在项目的所有阶段进行有针对性的社区外展，以确定并对需求进行优先排序、指导开发并推广 PDCM Finder 资源。预期的结果是用户将能够根据社区定义查找、分组和定位所有类型的 PDCM 模型属性（例如诊断、致癌突变）；探索和下载分子数据摘要和药物来自 PDCM 门户的响应数据；在云上聚合和分析统一的 PDCM 分子数据集基于分析平台。这将使医生和研究人员能够找到 PDCM，从而加速癌症研究最适合患者和/或研究问题的数据，并探索新的治疗途径患者。