Patient Derived Cancer Model (PDCM) Finder

患者衍生癌症模型 (PDCM) 查找器

• 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
• 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

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.

项目总结-患者衍生癌症模型（PDCM）查找器