Translational and Clinical Trial Correlates Core

转化和临床试验关联核心

基本信息

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
项目类别：
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

项目摘要

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.

项目概要转化和临床相关核心 (TCCC) 的目标是提供所需的专业知识和资源对作为我们的一部分提出的研究项目和临床研究进行质量相关分析为了实现这一目标，我们组建了一支具有组织专业知识的多学科团队。采购和生物样本库、免疫测定、免疫基因组学、蛋白质组学、放射组学和最先进的技术在目标 1 中，TCCC 将提供高度标准化和生物统计学方法。采购、处理和生物样本库样本的验证程序这将确保分类良好的可用性。在目标 2 中，TCCC 将促进获得最佳细胞活力的临床注释样本。用于对收集的样本进行全面的分子、病理和免疫学分析的最先进的平台这将为响应所发生的变化提供广泛的分子评估。在目标 3 中，TCCC 将提供获得尖端技术的机会。用于处理、分析和解释高通量数据的计算资源。生物信息学将由免疫治疗和精准免疫肿瘤学中心提供计算免疫学平台和定量健康科学系（QHS）将协助促进每个参与机构的数据管理和分析的协调。将有一个指定的数据资源管理器（CC 的 Kattan/Emory 的 Switchenko）。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。