Metabolic imaging comparisons of patient-derived models of renal cell carcinoma

肾细胞癌患者来源模型的代谢成像比较

基本信息

批准号：
10227078
负责人：
John Kurhanewicz
金额：
$ 63.36万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2022-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10227078
关键词：
3-Dimensional American Apoptosis Biological Biological Assay Biological Markers Biological Models Bioreactors Cancer Model Cell Culture Techniques Cells Cessation of life Clear cell renal cell carcinoma Clinical Clinical Trials Complex DNA sequencing Data Detection Development Diagnosis Disease Enzymes Evaluation Excretory function Exhibits Fibrous capsule of kidney Frequencies Functional disorder Funding Opportunities Genes Genetic Genotype Glutaminase Glycolysis Gold Growth Image Imaging Techniques Implant Individual Label MET gene Magnetic Resonance Magnetic Resonance Imaging Malignant Neoplasms Metabolic Metabolic Pathway Metabolism Mission Modeling Monitor Mus Mutation Nuclear Nucleic Acids Organism Oxygen Pathologic Pathway interactions Patients Phenotype Physiological Processes Play Pre-Clinical Model Primary Cell Cultures Process Production Prognosis Proteins Public Health Renal Cell Carcinoma Renal carcinoma Research Research Personnel Resistance Role Short Tandem Repeat Slice Specimen Techniques Testing Therapeutic Thinness Time Tissues United States National Institutes of Health Urogenital Cancer VHL gene Warburg Effect Xenograft procedure clinically relevant detection of nutrient enzyme activity established cell line exhibitions experience first-in-human genetic analysis human model imaging approach implantation improved in vitro Model inhibitor/antagonist lipid metabolism metabolic abnormality assessment metabolic imaging metabolic phenotype metabolomics molecular imaging mortality non-invasive imaging novel patient derived xenograft model patient response response tissue culture transcriptome sequencing transcriptomics tumor metabolism tumor xenograft

项目摘要

This year, ~62,000 Americans will be diagnosed with kidney cancer and more than 14,000 individuals will die from this disease. Nine of ten kidney cancers are renal cell carcinoma (RCC). To reduce mortality from RCC, improvements are needed at all stages, from diagnosis to prognosis to therapy. In response to the funding opportunity “Biological Comparisons in Patient-derived Models of Cancer (U01)”, we will compare four types of patient-derived models of RCC to investigate the relative authenticity of each as a preclinical model. The first will be patient-derived xenografts (PDXs), widely perceived as the most representative models of human pathophysiology. These have been previously established from a range of pathologic and clinical stages of RCC. The PDXs will serve as the “gold standard” to which to compare three PDX-derived models, including tissue slice cultures (TSCs), primary cell cultures, and xenografts generated from cell cultures. The biological comparison on which we focus is metabolism. Dysregulated metabolism, one of the hallmarks of cancer, is strongly implicated in the development and progression of RCC. Pleiotropic changes include dysregulation of oxygen sensing, energy sensing and nutrient sensing. In particular, high frequency mutations in VHL and FBP1 genes contribute to exhibition of the “Warburg effect” (an elevation of glycolysis in the presence of oxygen) in clear cell RCC, the major subtype of RCC, leading to increased production and excretion of lactate. Comparing metabolism among the four patient-derived models of RCC will capture the functional consequences of genetic, transcriptomic, environmental and other influences to provide a comprehensive picture of the phenotype of each model system. We will use hyperpolarized (HP) 13C magnetic resonance (MR), a remarkably sensitive molecular imaging technique, to surveil dynamic pathway-specific metabolic and physiologic processes in the patient-derived RCC models, yielding biologically and clinically relevant data. Aim 1 will identify the metabolic signature of each of 8 RCC PDXs by HP MR imaging and steady state metabolomic profiling. The metabolic data will be associated with genotypic, transcriptomic and immunotypic features to establish the phenotype of each PDX. In Aim 2, thin precision-cut tissue slices will be prepared from each of the 8 PDXs and placed in a NMR-compatible, 3D tissue culture bioreactor. The metabolic phenotype of the TSCs will be determined by HP MR and steady state studies and compared to that of the original PDXs, along with genetic, transcriptomic and immunohistologic features. Similar studies will be performed in Aim 3 with primary cell cultures derived from PDXs, and in Aim 4 with xenografts generated by the implantation in mice of PDX-derived cell cultures. In Aim 5, the final test of the four types of models will be a comparison of metabolic responses to the clinically relevant glutaminase inhibitor CB-839, which is currently entering clinical trials in RCC.

今年，约有62,000名美国人将被诊断出患有肾癌，14,000多人将死于这种疾病。十个肾脏癌中有9例是肾细胞癌（RCC）。降低死亡率从诊断到及时治疗，在各个阶段需要改进的RCC，需要改进。回应资金机会“在癌症的患者衍生模型（U01）中的生物学比较”，我们将比较四个 RCC的患者衍生模型的类型研究每种临床前模型的相对真实性。第一个将是患者衍生的Xenographictic（PDXS），被广泛认为是最具代表性的模型人类病理生理学。这些以前是从一系列病理和临床上建立的 RCC的阶段。 PDX将作为比较三种PDX衍生模型的“黄金标准” 包括组织切片培养物（TSC），原代细胞培养物和由细胞培养产生的异种移植物。我们关注的生物学比较是代谢。代谢失调，其中之一癌症的标志与RCC的发展和发展密切相关。多效变化包括氧气传感，能量传感和营养感测的失调。特别是高频 VHL和FBP1基因中的突变有助于展示“ Warburg效应”（糖酵解的升高 RCC的主要亚型Clear Cell RCC中的氧气存在，导致产量增加和鞋底的排泄。比较四种由患者衍生的RCC模型中的代谢将捕获遗传，转录组，环境和其他影响的功能后果，以提供每个模型系统表型的全面图片。我们将使用超极化（HP）13C磁共振（MR）是一种非常敏感的分子成像技术，可调查动态途径特异性患者衍生的RCC模型中的代谢和生理过程，在生物学上和临床上产生相关数据。 AIM 1将通过HP MR成像和稳态来识别8个RCC PDX中每种的代谢特征代谢组分析。代谢数据将与基因型，转录组和免疫型有关建立每个PDX的表型的功能。在AIM 2中，将准备薄的精确切割组织切片从8个PDX中的每一个中，放置在NMR兼容的3D组织培养物生物反应器中。代谢 TSC的表型将由HP MR和稳态研究确定，并将其与原始PDX以及遗传，转录组和免疫组织学特征。类似的研究将是在AIM 3中与源自PDXS的原代细胞培养物进行，并在AIM 4中使用异种移植物产生的异种移植物。 PDX衍生细胞培养物的小鼠植入。在AIM 5中，对四种模型的最终测试将是对临床相关的谷氨酰胺酶抑制剂CB-839的代谢反应的比较，目前是进入RCC的临床试验。