UNITS: The UNC / UT National Clinical Trials Network Group Integrated Translational Science Production and Consultation Center

单位：北卡罗来纳大学/德克萨斯大学国家临床试验网络集团综合转化科学生产和咨询中心

• 批准号: 9892991
• 负责人: David N Hayes
• 金额: $ 73万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-03-13 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9892991
• 关键词: Accreditation; Address; Adoption; Base Sequence; Big Data; Biological Assay; Biological Markers; CLIA certified; Cancer Patient; Cells; Center for Translational Science Activities; Clinic; Clinical; Clinical Data; Clinical Trials; Clinical Trials Cooperative Group; Clonality; Complex; Consultations; DNA; DNA Sequence; DNA Sequence Alteration; DNA copy number; DNA sequencing; Data; Data Analyses; Data Mart; Diagnosis; Disease; Equilibrium; Expression Profiling; Formalin; Freezing; Funding; Gene Expression; Gene Expression Profiling; Genomic medicine; Genomics; Genotype; Goals; Grant; Head; Hereditary Malignant Neoplasm; Human; Immune; Immune system; Immunotherapy; Infrastructure; Institution; Laboratories; Laboratory Study; Location; Malignant Neoplasms; Massive Parallel Sequencing; Measures; Methods; Molecular Target; Mutation; National Clinical Trials Network; Neoadjuvant Therapy; Nucleic Acids; Paraffin Embedding; Patients; Pharmaceutical Preparations; Pharmacogenomics; Ploidies; Precision Medicine Initiative; Predisposition; Privacy; Process; Production; RNA; Receptors, Antigen, B-Cell; Reproducibility; Research Personnel; Reverse Transcriptase Polymerase Chain Reaction; Role; Sampling; Science; Selection for Treatments; Sequence Deletion; Specimen; Speed; Staging System; Standardization; Structure; Syndrome; T-Lymphocyte; Technical Expertise; Techniques; Technology; The Cancer Genome Atlas; Time; Translational Research; Tumor-infiltrating immune cells; United States National Institutes of Health; Variant; analysis pipeline; base; biomarker development; cancer clinical trial; cancer genome; clinical decision-making; clinically relevant; cost efficient; data dissemination; data sharing; data submission; database of Genotypes and Phenotypes; exome; experience; genome-wide; genomic data; human subject; improved; mRNA sequencing; malignant breast neoplasm; nano-string; neoantigens; next generation; next generation sequencing; novel; open data; personalized medicine; precision medicine; privacy protection; prognostic; receptor; single-cell RNA sequencing; therapeutic enzyme; transcriptome; transcriptome sequencing; tumor; tumor microenvironment; whole genome

In the current era of Precision Medicine, laboratory studies are an integral component of cancer clinical trials. Amongst the most powerful techniques connecting therapies to specific patients are assays that interrogate nucleic acids (DNAseq and/or RNAseq), which are now most typically done using massively parallel sequencing (MPS). RNAseq now offers an extremely powerful approach for querying the tumor genome, where gene expression profiles have proven value in providing prognostic information, predictive information, and also critical information on the tumor microenvironment including quantitative measures of immune infiltrations. In addition, DNA based approaches can also be clinically informative in detecting somatic sequence alterations (mutations), structural variations (fusions), loss of normal DNA sequences (deletions), or sequence gains (amplifications). Alternatively, sequencing assays can target DNA from noncancerous cells to address additional questions including identification of familial predisposition, and genotyping of drug metabolizing enzymes of therapeutic importance. Through this Project, the UNC / UTHSC UNITS team will provide high volume clinical grade sequencing in a regulatory compliant manner from day one of the grant. As a world leader in the production of human RNA- based cancer data, from both frozen and FFPE, including RNA sequencing and targeted RNA quantification, RNA-based assays are offered within a compliant setting. We are also highly experienced with common, and complex, DNA-based assays and offer these as well. Aims 1 and 2 of this proposal involve providing an FDA- and CAP- compliant mechanism for high sample throughput for RNA- and DNA-sequencing from samples provided from multi-institutional cooperative group trials. RNA sequencing will be offered in 3 formats, RNA- Seq, NanoString, and Q-rt-PCR, to allow both comprehensive coverage and inexpensive targeted RNA profiling. DNA sequencing will be offered for both whole exome and targeted capture by MPS, as well as quantitative DNA measures by NanoString. The third aim is to develop and provide data sharing formats and an infrastructure for the proper dissemination of clinical trial sequence-based patient information, which is needed is this era of Big Data.

在当前的精准医学时代，实验室研究是癌症临床试验的一个组成部分。