PET Imaging of Glutamine Metabolism and Glutamate Transport to Guide Metabolically Targeted Therapy in Triple-Negative Breast Cancer

谷氨酰胺代谢和谷氨酸转运的 PET 成像指导三阴性乳腺癌的代谢靶向治疗

• 批准号: 10624784
• 负责人: DAVID A. MANKOFF
• 金额: $ 51.71万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-19 至 2027-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10624784
• 关键词: Amino Acids; Anabolism; Animal Model; Biological Markers; Breast; Breast Cancer Cell; Breast Cancer Model; Catabolism; Cell membrane; Cells; Cisplatin; Citric Acid Cycle; Clinic; Clinical Markers; Clinical Trials; Consumption; Data; Dependence; Enzymes; Exposure to; Extracellular Fluid; FDA approved; Glutamate Transporter; Glutamates; Glutamic Acid; Glutaminase; Glutamine; Glutathione; Growth; Homeostasis; Human; Imaging Device; Immunotherapy; Intervention; Kinetics; Malignant Neoplasms; Measures; Mediating; Metabolic; Metabolic Pathway; Metabolism; Methodology; Methods; Mitochondria; Oxidation-Reduction; Oxidative Stress; Oxidative Stress Induction; Paclitaxel; Pathway interactions; Patient Selection; Patient imaging; Patient-derived xenograft models of breast cancer; Patients; Pattern; Pharmaceutical Preparations; Pharmacodynamics; Play; Positron-Emission Tomography; Pre-Clinical Model; Production; Reactive Oxygen Species; Reporting; Resistance; Role; Testing; Therapeutic; Toxic effect; Tracer; Translating; Work; Xenograft Model; alpha ketoglutarate; analog; anticancer research; antiporter; biomarker performance; biomarker validation; cancer cell; cancer clinical trial; cell growth; chemotherapy; genetic signature; imaging agent; imaging biomarker; imaging modality; inhibitor; malignant breast neoplasm; patient derived xenograft model; personalized medicine; pharmacodynamic biomarker; pre-clinical; predicting response; predictive marker; preservation; quantitative imaging; rapid growth; refractory cancer; response; targeted treatment; therapy design; treatment response; treatment strategy; triple-negative invasive breast carcinoma; tumor; tumor growth

Glutaminolysis, the cellular catabolism of glutamine, is an important metabolic pathway for aggressive and treatment-resistant cancers, including many triple-negative breast cancers (TNBCs). It is well accepted that glutamate produced from glutamine by mitochondrial glutaminase (GLS) fuels the TAC cycle, which provides energy and precursors for biosynthesis. Emerging data have revealed a less recognized but important contribution of glutaminolysis in mediating oxidative stress introduced internally by active growth of aggressive cancer cells and externally by treatments including chemotherapy and immunotherapy. Targeting inhibitors of GLS to block glutaminolysis is a therapeutic strategy that has been tested in clinical trials of breast and other cancers with acceptable toxicity, but limited efficacy, owing in good part to a lack of clinical markers to guide patient selection and assess target impact. Preliminary data from our lab have shown that dual targeting of GLS and the plasma membrane glutamate transporter, xCT (SLC7A11), resulted in dramatic sensitization of resistant TNBC to chemotherapy. We propose three aims based upon an overall theme to develop a kinetic framework for non-metabolized amino acid analog PET tracers to measure cellular pool sizes as an indicator of catabolism and cellular transport. Specifically, we will (1) validate quantitative markers for cellular glutamine pool size from dynamic [18F]fluciclovine PET; (2) develop and validate markers for cytosolic glutamate pool size and transport using 4-(3-[18F]fluoropropyl)-L- glutamic acid ([18F]FSPG) PET, and (3) determine the utility of combined [18F]fluciclovine and [18F]FSPG PET for predicting and measuring response to dual-targeted treatment designed to sensitize TNBC to chemotherapy. As part of this work, we will address mechanistic questions regarding cytosolic glutamate transport from mitochondrial pools and to/from extracellular fluid to guide the interpretation of PET tracer kinetics. We will also test approaches to target TNBC metabolic vulnerabilities, specifically the dependence glutamine metabolism and glutamate transport, guided by the PET methods we develop and validate in our pre-clinical TNBC models. The proposed work will lead to a deeper understanding of the mutual engagement between glutaminolysis and redox homeostasis of cancer cells and will yield quantitative imaging methodologies ready to translate to the clinic.

谷氨酰胺溶解是谷氨酰胺的细胞分解代谢，是重要的代谢途径 用于侵略性和防治癌症，包括许多三阴性乳房 癌症（TNBC）。很公认的是，谷氨酸是由谷氨酰胺生产的 线粒体谷氨酰胺酶（GLS）为TAC周期提供了能量和能量的循环 生物合成的前体。新兴数据显示出一个不太认可但很重要的 谷氨酰胺溶解在介导的氧化应激中的贡献 侵略性癌细胞的生长和外部通过包括化学疗法在内的治疗 和免疫疗法。靶向GLS抑制剂以阻断谷氨酰胺溶解是一种治疗性 在乳腺癌和其他可接受的乳腺癌和其他癌症中已经测试过的策略 毒性，但功效有限，这在很大程度上是由于缺乏引导患者的临床标记 选择和评估目标影响。我们实验室的初步数据表明双重 靶向GL和质膜谷氨酸转运蛋白XCT（SLC7A11）， 导致抗性TNBC对化学疗法的敏感性急剧化。我们提出了三个 目的是基于一个总体主题来开发非代谢的动力学框架 氨基酸模拟宠物示踪剂以测量细胞池大小作为指标 分解代谢和细胞运输。具体而言，我们将（1）验证定量标记 来自动态[18F]氟维氏宠物的细胞谷氨酰胺池大小； （2）发展和验证 使用4-（3- [18F]氟丙基）-L-的胞质谷氨酸池大小和运输的标记物 谷氨酸（[18F] FSPG）PET，（3）确定[18F]氟西洛文的效用 和[18F] FSPG PET用于预测和测量对双目标治疗的反应 旨在使TNBC对化学疗法敏感。作为这项工作的一部分，我们将解决 关于从线粒体池转运谷氨酸转运的机械问题 并从细胞外液体进行/从指导宠物示踪剂动力学的解释。我们将 还测试靶向TNBC代谢漏洞的方法，特别是 依赖性谷氨酰胺代谢和谷氨酸转运，在PET方法的指导下 我们在临床前TNBC模型中开发和验证。拟议的工作将领导 更深入地了解谷氨酰胺溶解与氧化还原之间的相互参与 癌细胞的稳态，并将产生定量成像方法论 转化为诊所。