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：
10058856
负责人：
Helen Elizabeth Parkinson
金额：
$ 53.52万
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/10058856
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 Childhood 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 Xenograft procedure anticancer research base clinical decision-making cloud based data acquisition data ecosystem data harmonization data modeling data submission drug candidate ethnic minority population experience improved interoperability knowledge base meetings molecular modeling mouse model next generation novel novel therapeutics outreach 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 - 患者衍生的癌症模型（PDCM）查找器癌症研究中显着增长的区域是低通道人类癌细胞的多样性和体积线，三维器官培养物和患者衍生的肿瘤异种移植物（PDX）被称为患者癌症模型（PDCM）。因此，该项目将汇总，协调和整合各种PDCM数据，通过包含新型模型来扩展我们以前的资源PDX查找器，使这些公平（可发现，可访问，可互操作，可重复使用的）符合性和云可访问，例如在NCI研究中下议院。 PCDM Finder将通过搜索许多存储库来应对挑战，并不兼容使模型的分析和重复使用的标准很难，分子数据集注释不足可以防止基于云的分析的信息以及对提供公平的社区意识的需求合规数据以最大化其工作的影响。为了应对这些挑战，PDCM查找器有3个任务：1）通过增强我们当前的资源来提供PDCM，使癌症研究人员能够找到和访问模型 Finder，2）汇总和整合PDCM数据集，以确保NCI癌的互操作性和可重复性研究共享和3）在项目的各个阶段执行有针对性的社区外展并优先考虑要求，指导开发并促进PDCM查找器资源。预期结果是用户将能够根据社区定义找到，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；在云上汇总和分析统一的PDCM分子数据集基于分析平台。这将通过允许医生和研究人员找到PDCM来加速癌症研究最适合患者和/或研究问题并探索新的治疗途径的数据患者。