Patient Derived Cancer Model (PDCM) Finder

患者衍生癌症模型 (PDCM) 查找器

• 批准号: 10672210
• 负责人: Helen Elizabeth Parkinson
• 金额: $ 45.96万
• 依托单位: EUROPEAN MOLECULAR BIOLOGY LABORATORY
• 依托单位国家: 美国
• 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/10672210
• 关键词: 3-Dimensional; Acceleration; Address; Adoption; American Association of Cancer Research; Architecture; Area; Awareness; Cancer Center; Cancer Model; Cancer Patient; Cancer cell line; Catalogs; Cell Line; Collaborations; 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; Visualization software; Work; Xenograft Model; anticancer research; 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

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不兼容模型的挑战 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在提供公平性方面需要更多的社区意识 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。