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.

项目概要 虽然一些创新和创造性的免疫肿瘤学 (IO) 策略已显示出有希望的结果，但 其临床应用的显着扩展将需要共同努力来阐明耐药机制， 发现新的免疫靶标、识别预测生物​​标志物、评估联合疗法并开发 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) 资助的组件用于发现新的免疫靶点并评估新的免疫- 基于疗法和组合方法可消除成人中已确定的癌症或预防 癌症发生之前。我们的 DMRC 战略是在每一步中充当管理和分析中心 IOTN 的转化研究，重点是减少获得分析专业知识的障碍，提高 IOTN 研究人员的生产力，保持数据收集和管理、设计和 执行严格的分析策略，并培养协作和支持性的研究社区。 我们组建了一支经验丰富的多学科团队来实现四个具体目标：首先，我们将提供 基于 NRG 肿瘤学的集中管理基础设施，用于协调 IOTN 活动 统计和数据协调中心协调超过 450 项转化癌症研究的经验 跨越数百个参与站点。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 的五个共享资源：生物统计学、生物信息学、 生物医学数据科学、数据库和生物存储库以及免疫分析。我们的分析支持将是 配备专业的 IT 人员，并由经验丰富的 IO 研究团队提供信息。三、我们将发展 创新的数据集成方法，利用备受推崇的技术，增强 IOTN 研究能力 Bioconductor项目和RPCI生物统计学系的独立研究项目 生物信息学。第四，我们将积极推动IOTN，进行跨联盟互动。 我们将利用 Bioconductor 在社区参与方面长达十年的经验以及 NRG 数据中心的 丰富的项目协调专业知识。利用我们积极的 NCI 资助的 RPCI 承诺资源来支持 拟议的多机构跨学科 IO 研究不仅具有成本效益，而且在其方面也很灵活 依赖于研究的可扩展性。总而言之，我们希望我们的 DMRC 与 IOTN 密切合作， 将使我们能够进行高效和创新的转化研究，以解决严重未满足的问题 与 IO 相关的临床需求。