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: 10872397
• 负责人: Alan David Hutson
• 金额: $ 43.38万
• 依托单位: ROSWELL PARK CANCER INSTITUTE CORP
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10872397
• 关键词: Address; Adult; Bioconductor; Bioinformatics; Biometry; Cancer Center Support Grant; Clinical; Collaborations; Combined Modality Therapy; Communities; Creativeness; Data Collection; Data Coordinating Center; Fostering; Funding; Immune; Immune Targeting; Immunooncology; Immunotherapy; Infrastructure; Institution; Malignant Neoplasms; Methods; Oncology; Preventive; Productivity; Research; Research Personnel; Resource Sharing; Resources; Site; biobank; biomedical data science; community engagement; cost effective; data centers; data integration; data management; data repository; data sharing networks; design; experience; flexibility; high standard; improved; innovation; multidisciplinary; novel; predictive marker; prevent; programs; resistance mechanism; translational oncology; translational study

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 虽然一些创新和创造性的免疫肿瘤学（IO）策略已经显示出有希望的结果， 其临床应用的显著扩展将需要协作努力来阐明耐药机制， 发现新的免疫靶点，鉴定预测性生物标志物，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，以发现新的免疫目标和评估新的免疫- 基础疗法和联合疗法，消除成人中已确诊的癌症或预防 在癌症发生之前。我们的DMRC战略是在每一步都充当管理和分析中心 IOTN的翻译研究，重点是减少获得分析专业知识的障碍，提高 IOTN调查人员的生产力，保持高标准的数据收集和管理，设计和 执行严格的分析策略，并促进合作和支持的研究社区。 一个经验丰富的多学科团队已经组建，以实现四个具体目标：首先，我们将提供 一个集中管理基础设施，以协调IOTN活动，建立在NRG肿瘤学基础上 统计和数据协调中心协调450多项转化癌症研究的经验 在数百个参与的网站上。第二，我们将提供多学科分析专业知识， 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，数据库和生物库，免疫分析。我们的分析支持将 配备专业的IT人员，并由经验丰富的IO研究团队提供信息。第三，我们将发展 创新的数据集成方法，利用备受尊敬的技术，增强IOTN研究能力 生物导体项目和RPCI生物统计学系的独立研究项目， 生物信息学。第四，积极推进物联网，开展跨联盟互动， 我们将利用Bioconductor在社区参与方面长达十年的经验和NRG数据中心的 丰富的项目协调经验。利用我们积极的NCI资助的RPCI承诺的资源， 所建议的多机构跨学科信息作战研究不仅具有成本效益，而且在 研究相关的可扩展性。总之，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转化研究，以解决重大的未满足的 与IO相关的临床需求。