Clinical translation of a NexGen platform for quantifying protein networks in human biospecimens

用于量化人类生物样本中蛋白质网络的 NexGen 平台的临床转化

• 批准号: 10190852
• 负责人: AMANDA G PAULOVICH
• 金额: --
• 依托单位: FRED HUTCHINSON CANCER RESEARCH CENTER
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2022-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10190852
• 关键词: Analytical Chemistry; Antibodies; Antibody Specificity; Biological Assay; Biomedical Engineering; Blood Cells; Clinical; Clinical Chemistry; Clinical Trials; Collaborations; Communities; Complement; Conduct Clinical Trials; DNA Damage; Data; Development; Dose; Ensure; Environment; Enzyme-Linked Immunosorbent Assay; Formalin; Freezing; Genomics; Goals; Guidelines; Human; Immunoassay; Immunohistochemistry; Industrialization; Industry; Laboratories; Leadership; Malignant Neoplasms; Maps; Mass Spectrum Analysis; Measurement; Methods; Modernization; National Cancer Institute; Pathologist; Pathology; Pathway interactions; Patients; Performance; Peripheral Blood Mononuclear Cell; Pharmaceutical Preparations; Pharmacodynamics; Pharmacotherapy; Phase; Phosphotransferases; Process; Protein Biochemistry; Proteins; Proteome; Proteomics; Protocols documentation; Research Personnel; Sampling; Schedule; Shipping; Signal Transduction; Site; Specimen; Standardization; Technology; Testing; Tissues; Translating; Translations; Tumor Suppressor Proteins; Validation; Variant; Western Blotting; Work; base; cancer therapy; clinical translation; driver mutation; drug candidate; drug development; drug discovery; early phase clinical trial; early phase trial; experience; improved; innovation; multidisciplinary; multiple reaction monitoring; multiplex assay; next generation; novel; novel anticancer drug; novel therapeutics; open source; pre-clinical; precision oncology; reagent standard; response; small molecule; statistics; targeted cancer therapy; targeted treatment; treatment response; tumor

Project Summary/Abstract Due to technological limitations, there are no validated assays for quantifying the majority of human proteins in clinical biospecimens, and thus most of the human proteome is clinically inaccessible. Because most modern cancer therapies act on proteins, our inability to quantify proteins is an impediment to the translation of targeted therapies. Furthermore, proteins act as interconnected “networks,” and thus we must be able to quantify panels of proteins in cancers to assess the activity of pathways and networks that determine treatment responses. Our project aims to translate (for use in clinical trial settings) a multiplex protein assay for quantifying tumor suppressor proteins and cell signaling networks that response to DNA damage- a critical network targeted by current drug discovery efforts. The assay is based on a NextGen platform for quantifying protein panels uses targeted, multiple reaction monitoring mass spectrometry (MRM-MS), which complements existing protein assay technologies and overcomes many of the technological limitations, including enabling multiplexing of assays for many proteins in a single network. MRM has been extensively validated in the preclinical space but has not yet been adapted for clinical trials. Our multidisciplinary team brings together academic partners with diverse expertise (MRM-MS, analytical chemistry, clinical chemistry, pathology, statistics, bioengineering, protein biochemistry) with an industrial partner (AstraZeneca) that has extensive experience in drug development and clinical trials. Successful adaptation of this MRM-based assay panel to the clinical trial setting will provide a road map and standard operating protocols (SOPs) for translation of additional MRM-based assay panels (>1,500 assays are already publicly available at https://assays.cancer.gov/).

项目摘要/摘要 由于技术局限 因为最现代的 蛋白质癌症疗法法，我们无法量化蛋白质是一种障碍的疾病。 疗法。 癌症中的蛋白质评估确定治疗反应的途径和网络的活性 项目旨在翻译（用于临床试验设置）一种多重蛋白质测定，以量化肿瘤 抑制蛋白质和细胞信号网络对DNA损害的响应 - 针对的关键网络。 当前的药物发现工作是基于量化蛋白质面板的下一步 有针对性的，多个反应监测质谱法（MRM-MS），它补充了现有的蛋白质测定法 技术和克服了许多技术局限 单个网络中的许多蛋白质已在雷克林斯进行了扩展 适用于临床试验。 专业知识（MRM-MS，分析化学，临床化学，病理学，统计，生物工程，蛋白质 生物化学）与工业合作伙伴（阿斯利康），在药物开发和 临床试验。 用于翻译基于MRM的测定面板的地图和标准操作协议（SOP）（> 1,500 测定已在https://assays.cancer.gov/上公开获得。