Tumor-specific metabolic alterations have been increasingly recognized as a driving force of tumor growth. Glutamine (Gln) is the most abundant amino acid in the blood. Glucose and Gln are two major nutrients utilized by cancers to meet the demand for energy production and biosynthesis. Gln is metabolized through the glutaminolysis pathway, which is highly active in many aggressive forms of human cancers, including triple-negative breast cancer (TNBC), pancreatic and lung cancer, lymphoma and glioblastoma. The first and rate-limiting step of glutaminolysis is catalyzed by mitochondrial glutaminase (GLS) that converts glutamine to glutamate. Drugs targeting key steps of glutaminolysis pathway are being developed, and promising inhibitors of GLS have advanced to early phase clinical trials. However, there are no current clinically feasible methods to estimate the level of cancer glutamine metabolism, nor is there a non-invasive marker that can report the pharmacodynamic (PD) effect of GLS inhibitors. These unmet needs provide strong motivation to develop imaging-based methods to measure cellular glutaminolysis in order to direct GLS-targeted therapy, the focus of this proposal. To interrogate in vivo glutamine metabolism in cancer, our Center has designed and developed two positron emission tomography (PET) imaging probes: L-[5-11C]Glutamine ([11C]Gln) and (2S,4R)-4[18F]Glutamine ([18F]Fluoroglutamine or [18F]4F-Gln ). This project aims to develop and validate quantitative analysis tools for [11C]Gln and [18F]4F-Gln PET using human breast cancer xenografts. Based on our preliminary studies, we have designed studies to test the central hypothesis that the distribution volume of [18F]4F-Gln is a marker of tumor glutamine pool that is an indirect measure of glutamine metabolism, while flux through GLS measured by [11C]Gln PET is an authentic marker of tumor GLS activity. The utility of these markers to report the pharmacodynamic effect of novel glutaminase inhibitor will be developed and validated using breast cancer xenograft models based on cell lines of different breast cancer subtype with varied degrees of dependence on glutamine. The outcome of the proposed project will fulfill the unmet clinical needs for quantitative, non-invasive tools capable of predicting and measuring response to glutamine-targeted therapies. These tools will be ready for clinical trials upon completion of this project to play a critical role in development and deployment of such therapies in patients.

Public Health Relevance

Recent discoveries in cancer metabolism have revealed that many aggressive cancers consume glutamine, an abundant amino acid, for supplying energy and building blocks for making new cells. We have designed and developed two positron emission tomography (PET) imaging probes, glutamine and a glutamine analog labeled with radioisotopes for PET imaging, to measure the level of glutamine metabolism non-invasively before and during cancer treatment. We aim to test and validate the utility of the imaging probes and methods for image analysis in animal models of breast cancer as predictive and/or pharmacodynamic (PD) markers for glutamine-directed treatment for breast cancer. These non- invasive PET markers will accelerate the development of glutamine-targeted therapies in the clinic to provide effective treatment options for breast cancer, including triple negative cancers, which currently have limited therapeutic options.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA211337-05
Application #
10056201
Study Section
Clinical Molecular Imaging and Probe Development (CMIP)
Program Officer
Zhang, Yantian
Project Start
2016-12-08
Project End
2021-11-30
Budget Start
2020-12-01
Budget End
2021-11-30
Support Year
5
Fiscal Year
2021
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Cao, Jianbo; Pickup, Stephen; Clendenin, Cynthia et al. (2018) Dynamic contrast-enhanced MRI detects responses to stroma-directed therapy in mouse models of pancreatic ductal adenocarcinoma. Clin Cancer Res :
Pantel, Austin R; Ackerman, Daniel; Lee, Seung-Cheol et al. (2018) Imaging Cancer Metabolism: Underlying Biology and Emerging Strategies. J Nucl Med 59:1340-1349
Zhou, Rong; Bagga, Puneet; Nath, Kavindra et al. (2018) Glutamate-Weighted Chemical Exchange Saturation Transfer Magnetic Resonance Imaging Detects Glutaminase Inhibition in a Mouse Model of Triple-Negative Breast Cancer. Cancer Res 78:5521-5526
Pantel, Austin R; Mankoff, David A (2017) Molecular imaging to guide systemic cancer therapy: Illustrative examples of PET imaging cancer biomarkers. Cancer Lett 387:25-31
Zhu, Lin; Ploessl, Karl; Zhou, Rong et al. (2017) Metabolic Imaging of Glutamine in Cancer. J Nucl Med 58:533-537
Zhou, Rong; Pantel, Austin R; Li, Shihong et al. (2017) [18F](2S,4R)4-Fluoroglutamine PET Detects Glutamine Pool Size Changes in Triple-Negative Breast Cancer in Response to Glutaminase Inhibition. Cancer Res 77:1476-1484