Immuno-Oncology Translation Network: Data Management and Resource-Sharing Center at RPCI

免疫肿瘤学翻译网络：RPCI 的数据管理和资源共享中心

• 批准号: 10045426
• 负责人: Alan David Hutson
• 金额: $ 4.03万
• 依托单位: ROSWELL PARK CANCER INSTITUTE CORP
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-11-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10045426
• 关键词: Address; Adult; Algorithms; Bioconductor; Bioinformatics; Biological Assay; Biological Markers; Biometry; Biostatistics Shared Resource; Buffaloes; Cancer Center Support Grant; Clinical; Clinical Data; Clinical Trials; Collaborations; Combined Modality Therapy; Communities; Comprehension; Computer software; Data; Data Analytics; Data Collection; Data Coordinating Center; Data Management Resources; Databases; Development; Educational workshop; Ensure; Fostering; Funding; Goals; Grant; Hand; Immune; Immune Targeting; Immunologic Monitoring; Immunooncology; Immunotherapy; Informatics; Information Technology; Infrastructure; International; Logistics; Malignant Neoplasms; Manuscripts; Methodology; Methods; National Clinical Trials Network; Oncology; Performance; Positioning Attribute; Preparation; Preventive; Principal Investigator; Procedures; Productivity; Protocols documentation; PubMed; Quality Control; Records; Reproducibility; Reproducibility of Results; Research; Research Design; Research Personnel; Research Project Grants; Resource Sharing; Resources; Roswell Park Cancer Institute; Site; Specimen; Standardization; Statistical Methods; Supercomputing; System; Text; Translational Research; Translations; United States National Institutes of Health; Universities; biobank; bioinformatics resource; bioinformatics tool; biomedical data science; computerized data processing; computerized tools; cost effective; data centers; data integration; data management; data portal; data warehouse; design; experience; flexibility; high standard; improved; informatics tool; innovation; lectures; member; multidisciplinary; novel; open source; operation; predictive marker; prevent; programs; protocol development; quality assurance; repository; research study; resistance mechanism; statistics; support network; symposium; translational study; user-friendly; web site

Project Summary While several innovative and creative immuno-oncology (IO) strategies have shown promising results, a significant expansion of their clinical use will require collaborative efforts to elucidate the resistance mechanism, discover new immune targets, identify predictive biomarkers, evaluate combination therapies, and develop preventive approaches. Utilizing a multi-disciplinary team approach, we will support Immuno-Oncology Translation Network (IOTN)-funded components to discover new immune targets and evaluate novel immune- based therapies and combination approaches that eliminate established cancers in adults or to prevent cancers before they occur. Our DMRC strategy is to serve as an administrative and analytic hub at every step of the IOTN's translational studies, focusing to reduce the barrier for access to analytic expertise, improve the productivity of IOTN investigators, maintain a high standard for data collection and management, design and perform rigorous analytical strategies, and foster a collaborative and supportive research community. An experienced, multidisciplinary team has been assembled to pursue four specific aims: First, we will provide a centralized administration infrastructure to coordinate IOTN activities, building upon the NRG Oncology Statistical and Data Coordinating Center's experience of coordinating over 450 translational cancer studies across hundreds of participating sites. Second, we will provide multidisciplinary analytic expertise to support IOTN collaborative research, leveraging five of RPCI CCSG's shared resources: Biostatistics, Bioinformatics, Biomedical Data Science, Data Bank and BioRepository, and Immune Analysis. Our analytic support will be armed with professional IT staff and informed by an experienced IO researcher team. Third, we will develop innovative data integration methods to enhance IOTN research capacity, capitalizing on the well-respected Bioconductor project and the independent research programs of the RPCI department of Biostatistics and Bioinformatics. Fourth, we will actively promote the IOTN and engage in trans-consortium interactions, where we will leverage Bioconductor's decade-long experience in community engagement and the NRG data center's rich expertise in project coordination. Leveraging our active NCI-funded RPCI-committed resource to support the proposed multi-institutional trans-disciplinary IO research is not only cost-effective, but also flexible in its study-dependent scalability. Taken together, we envision that our DMRC, in close collaboration with the IOTN, will allow us to conduct highly effective and innovative translational studies to address the significantly unmet clinical needs related to IO.

项目摘要 虽然几种创新和创造性的免疫肿瘤（IO）策略显示出令人鼓舞的结果，但 其临床使用的大量扩展将需要协作努力来阐明阻力机制， 发现新的免疫靶标，识别预测性生物标志物，评估组合疗法并发展 预防方法。利用多学科团队的方法，我们将支持免疫肿瘤学 翻译网络（IOTN）资助的组件，以发现新的免疫靶标并评估新型免疫力 基于基于既定的成人癌症或防止的疗法和组合方法 癌症发生之前。我们的DMRC策略是在每个步骤中都是行政和分析中心 IOTN的翻译研究，重点是减少获得分析专业知识的障碍，改善 IOTN研究人员的生产力，保持数据收集和管理，设计和设计高标准 执行严格的分析策略，并培养一个协作和支持性的研究社区。 一支经验丰富的多学科团队已经组装了四个具体目标：首先，我们将提供 基于NRG肿瘤学的集中管理基础设施，以协调IOTN活动 统计和数据协调中心协调450多个转化癌症研究的经验 在数百个参与网站上。其次，我们将提供多学科分析专业知识来支持 IOTN合作研究，利用RPCI CCSG共享资源的五项：生物统计学，生物信息学， 生物医学数据科学，数据库和生物验证以及免疫分析。我们的分析支持将是 由专业的IT人员配备，并由经验丰富的IO研究人员团队告知。第三，我们将发展 创新的数据集成方法，以增强IOTN研究能力，利用备受尊敬的 RPCI生物统计学系和RPCI的独立研究计划和 生物信息学。第四，我们将积极促进IOTN并参与跨托管互动，在这里 我们将利用生物导体在社区参与方面的十年经验和NRG数据中心的 项目协调方面的丰富专业知识。利用我们活跃的NCI资助的RPCI资源来支持 拟议的多机构跨学科IO研究不仅具有成本效益，而且在其上也很灵活 研究依赖性可伸缩性。综上所述，我们设想我们的DMRC与Iotn密切合作， 将使我们能够进行高效和创新的翻译研究，以解决明显未经元素的问题 临床需求与IO有关。