Translational and Clinical Trial Correlates Core

转化和临床试验关联核心

• 批准号: 10704716
• 负责人: Claudia Marcela Diaz-Montero
• 金额: $ 29.82万
• 依托单位: CLEVELAND CLINIC LERNER COM-CWRU
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-14 至 2027-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10704716
• 关键词: Bar Codes; Bioinformatics; Biological Assay; Biological Markers; Biometry; Cell Survival; Cells; Chairperson; Clinical; Clinical Research; Clinical Trials; Collaborations; Combined Modality Therapy; Computational Biology; Data; Data Analyses; Data Collection; Data Management Resources; Dedications; Ensure; Flow Cytometry; Generations; Genes; Genomics; Health Sciences; Immunogenomics; Immunologic Monitoring; Immunologics; Immunology; Immunology procedure; Immunooncology; Immunophenotyping; Immunotherapy; Laboratories; Molecular; Mutation; Pathologic; Pathology; Pathway Analysis; Pathway interactions; Performance; Peripheral Blood Mononuclear Cell; Plasma; Procedures; Process; Proteomics; Quality Control; Radiation; Reporting; Research Design; Research Personnel; Research Project Grants; Resources; Sampling; Sequence Analysis; Specimen; Standardization; Statistical Data Interpretation; T-Lymphocyte; T-cell receptor repertoire; Technology; Tissue Procurements; Translational trial; Treatment Efficacy; Tumor Tissue; Whole Blood; biobank; computing resources; data harmonization; data management; data resource; differential expression; empowerment; human leukocyte antigen testing; interoperability; multidisciplinary; neoantigens; preclinical study; programs; radiation response; radiomics; response; screening; transcriptome; transcriptomics; translational goal; treatment response

PROJECT SUMMARY The goal of the Translational & Clinical Correlates Core (TCCC) is to provide the expertise and resources needed to conduct quality correlative analyses for the research projects and clinical studies proposed as part of our ROBIN Program. To accomplish this, we have assembled a multidisciplinary team with expertise in tissue procurement and biobanking, immune assays, immunogenomics, proteomics, radiomics, and state-of-the-art computational biology and biostatistics approaches. In Aim 1, the TCCC will provide highly standardized and validated procedures to procure, process and biobank specimens. This will ensure availability of well-catalogued and clinically annotated samples with optimal cell viability. In Aim 2, the TCCC will facilitate access to state-of- the-art platforms for the comprehensive molecular, pathologic, and immunologic profiling of collected biospecimens. This will provide a broad molecular assessment of the changes that occur in response to treatment and their contributions to response. In Aim 3, the TCCC will provide access to cutting-edge computational resources for the processing, analysis and interpretation of high-throughput data. Advanced bioinformatics will be provided by the Center for Immunotherapy and Precision Immuno-Oncology’s Computational Immunology Platform, and the Department of Quantitative Health Sciences (QHS) will assist with the statistical analyses. To facilitate harmonization of data management and analysis each participating institute will have a designated Data Resource Manager (Kattan for CC/Switchenko for Emory). This centralized approach will ensure optimal data collection, analysis, and sharing among projects and clinical studies.

项目摘要 转化和临床相关性核心（TCCC）的目标是提供所需的专业知识和资源 为我们的研究项目和临床研究进行质量相关分析作为我们的一部分 罗宾计划。为此，我们组建了一个具有专业知识的多学科团队 采购和生物群，免疫测定，免疫基因组学，蛋白质组学，放射组学和最先进的 计算生物学和生物统计学方法。在AIM 1中，TCCC将提供高度标准化和 经过验证的采购，过程和生物库规格的程序。这将确保可用的良好访问 以及具有最佳细胞活力的临床注释样品。在AIM 2中，TCCC将有助于获得 用于收集的综合分子，病理和免疫学分析的ART平台 生物测量。这将为响应于的变化提供广泛的分子评估 治疗及其对反应的贡献。在AIM 3中，TCCC将提供前沿的访问权限 用于处理，分析和解释高通量数据的计算资源。先进的 生物信息学将由免疫疗法和精确免疫肿瘤中心提供 计算免疫学平台和定量健康科学系（QHS）将有助于协助 统计分析。为了促进数据管理和分析的协调 将有一个指定的数据资源管理器（用于Emory的CC/Switchenko的Kattan）。这个集中 方法将确保项目和临床研究之间的最佳数据收集，分析和共享。