Patient Derived Cancer Model (PDCM) Finder

项目摘要-患者衍生癌症模型(PDCM)查找器 癌症研究中一个显著增长的领域是低传代人类癌细胞的多样性和体积。 细胞系、三维器官培养和患者来源的肿瘤异种移植(PDX)称为患者来源 肿瘤模型(PDCM)。因此，该项目将汇总、协调和整合各种PDCM数据， 通过包含新模型来扩展我们以前的资源PDX Finder，使这些模型公平(可查找， 可访问性、互操作性、可重用性)合规性和云可访问性，例如在NCI Research 公地。PCDM Finder将解决在多个存储库中搜索不兼容的模型的挑战 标准使模型的分析和重复使用变得困难，分子数据集注释不足 妨碍基于云的分析的信息，以及在提供公平的 合规的数据，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找到并访问模型 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 研究共享空间，以及3)在项目的所有阶段进行有针对性的社区推广，以确定 确定需求的优先顺序，指导开发并推广PDCM Finder资源。预期中的 结果是用户将能够基于社区定义的各种类型的PDCM模型进行查找、分组和定位 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；在云上聚合和分析协调的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 与患者和/或研究问题最匹配的数据，并探索新的治疗途径 病人。

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.