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PDXNet Data Commons and Coordinating Center

PDXNet 数据共享和协调中心

基本信息

批准号：
10732421
负责人：
Jeffrey Hsu-Min Chuang
金额：
$ 93.04万
依托单位：
JACKSON LABORATORY
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-25 至 2028-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10732421
关键词：
Acceleration Address Antineoplastic Agents Bioinformatics Biological Biological Models Cancer Biology Cancer Model Cancer Patient Cancer Therapy Evaluation Program Clinical Clinical Trials Cloud Computing Collaborations Collection Communication Communities Complement Coordination and Collaboration Data Data Analyses Data Collection Data Commons Data Set Data Storage and Retrieval Databases Development Drug resistance Engineering Environment Feedback Generations Genetic Genomics Goals Grant Human Resources Image Incentives Information Resources Institution Journals Leadership Letters Malignant Neoplasms Metadata Methods Modeling Molecular National Cancer Institute Nature Outcome Patients Performance Pharmaceutical Preparations Phase Precision therapeutics Process Publications Publishing Recording of previous events Research Resources Review Committee Science Scientist Services Software Engineering Specimen Speed Standardization The Jackson Laboratory Therapeutic Translations United States National Institutes of Health Validation Vision Work Xenograft procedure anticancer research cancer clinical trial cancer genomics cancer therapy cancer type candidate identification candidate marker clinical predictors cloud based computer infrastructure data modeling data resource data sharing data standards data submission database of Genotypes and Phenotypes diverse data efficacy evaluation experience flexibility fundamental research genomics cloud improved innovation insight large datasets multiple omics network models patient derived xenograft model pre-clinical precision oncology preclinical study repository research clinical testing response success tool treatment comparison treatment response

项目摘要

PROJECT SUMMARY Patient-derived xenografts (PDXs) are a powerful model system to assess efficacy of anti-cancer agents and understand molecular mechanisms of drug resistance. By applying agent combinations against patient-derived models, it is possible to obtain evidence to determine the most promising combinations for advancement to clinical testing in defined sub-populations of cancer patients. However, integration of PDX drug response with molecular characterization data across diverse PDX collections is needed to enable this vision. A key aspect is the need for well-managed resources for community sharing and large-scale analysis of standardized datasets from PDXs and other patient-derived models. The Jackson Laboratory-Seven Bridges (JAX-SB) PDX Data Commons and Coordination Center (PDCCC) has addressed this challenge for the last 5 years, uniting the efforts of the data-generating (PDX Development and Trial Centers/PDTCs) and PDX model sharing (NCI’s Patient-Derived Model Repository/PDMR) components of the PDX Development and Trials Centers Research Network (PDXNet) into a cohesive, trans-Network whole. Using innovative cloud computing and bioinformatic approaches, our PDCCC provides administrative and computational infrastructure for PDXNet to enable PDX method standardization, model sharing, data sharing, and massive-scale data analysis. To date, we have built the PDXNet Portal, which currently contains PDXNet model information and data resources from 334 new models across 33 cancer types. Our PDCCC team has both facilitated and actively guided consortium collaborative projects, leading to several major publications and 10 Cancer Therapy Evaluation Program Letters of Intent. Here, we propose to enhance the PDXNet Portal and refine our organizational activities to address needs clarified by the NCI and PDX communities, including: faster translation of PDX studies to clinical trials; precise organization and sharing of multi-omic and treatment response data; and development of predictors of clinical treatment response. Our Specific Aims are: 1) To provide robust PDCCC support for PDXNet stakeholders through regular committees, personnel expertise, and project tools; 2) To enhance PDXNet Portal content, functionality, and data sharing; and 3) To develop and implement strategies that accelerate PDX translation to clinical trials. Through these Aims, we will coordinate the activities of the PDXNet to increase the value of patient-derived cancer model treatment studies and speed the generation of clinical trials.

项目摘要患者来源的异种移植物（PDX）是评估抗癌剂的功效的强大模型系统，了解耐药性的分子机制。通过对患者来源的模型，有可能获得证据，以确定最有前途的组合，在癌症患者的特定亚群中进行临床测试。然而，PDX药物反应与需要跨不同PDX集合的分子表征数据来实现这一愿景。一个关键方面是社区共享和大规模分析标准化数据集需要管理良好的资源 PDX和其他患者衍生模型。杰克逊实验室-七桥（JAX-SB）PDX数据公共资源和协调中心（PDCCC）在过去的5年里一直致力于解决这一挑战，数据生成（PDX开发和试验中心/PDTC）和PDX模型共享（NCI的 PDX开发和试验中心研究的患者衍生模型库/PDMR）组件网络（PDXNet）整合成一个有凝聚力的跨网络整体。利用创新的云计算和生物信息学我们的PDCCC为PDXNet提供管理和计算基础设施，以实现PDX 方法标准化、模型共享、数据共享和大规模数据分析。到目前为止，我们已经建立了 PDXNet门户网站，目前包含来自334个新的PDXNet模型信息和数据资源， 33种癌症类型。我们的PDCCC团队促进并积极引导联盟合作项目，导致几个主要出版物和10个癌症治疗评估计划信件的意图。在这里，我们建议加强PDXNet门户网站，并完善我们的组织活动，以解决 NCI和PDX社区明确的需求，包括：更快地将PDX研究转化为临床试验; 精确组织和共享多组学和治疗反应数据; 临床治疗反应。我们的具体目标是：1）为PDXNet提供强大的PDCCC支持利益相关者通过定期委员会，人员专业知识和项目工具; 2）加强PDXNet门户网站内容、功能和数据共享;以及3）开发和实施加速PDX的策略转化为临床试验。通过这些目标，我们将协调PDXNet的活动，以增加患者来源的癌症模型治疗研究的价值，并加快临床试验的产生。