Abstract PO2-15-11: Kinetic Analysis of [5-11C] glutamine PET tracer data in breast cancer: Preclinical studies in mouse models
Abstract Background: Glutamine is an important metabolic substrate in many aggressive tumors, with comparable importance to glucose metabolism. Utilizing human breast cancer mouse xenograft models, we studied the kinetics of the PET imaging agent, [5-11C] glutamine, a biochemical authentic substrate...
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Published in | Cancer research (Chicago, Ill.) Vol. 84; no. 9_Supplement; p. PO2-15-11 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
02.05.2024
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Online Access | Get full text |
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Summary: | Abstract
Background: Glutamine is an important metabolic substrate in many aggressive tumors, with comparable importance to glucose metabolism. Utilizing human breast cancer mouse xenograft models, we studied the kinetics of the PET imaging agent, [5-11C] glutamine, a biochemical authentic substrate for glutamine metabolism, to further characterize the metabolism of glutamine and downstream labeled metabolites. Studies were performed with and without inhibition of the enzyme, glutaminase (GLS), the first step in glutamine catabolism that generates glutamate, and key target for therapy directed to glutamine-metabolizing cancers.
Methods: The study used xenograft mouse models for two breast cancer cell lines, HCC1806, a highly glutaminolytic triple-negative cell line, and MCF-7, a hormone receptor positive line with only low levels of glutaminolysis. Mice were injected with 5-[11C]L-glutamine, and the contributions of individual metabolites to the total [11C] signal in blood and tumor tissue were estimated at 10, 20, and 30 minutes after injection by assaying the fractional contributions of [5-11C] glutamine and labeled metabolites, specifically [5-11C] glutamate, [11C] CO2 and all other metabolites with [11C], in both blood and tumor tissue. This generated estimated time activity curves for [5-11C] glutamine and downstream metabolites in both HCC1806 and MCF-7 mouse models with and without CB-839 treatment, an inhibitor of GLS. We also investigated a compartment model that describes these data, including model simulations that fit the model to match the measured curves.
Results: We found that, out to 30 minutes post-injection, the vast majority of tumor radioactivity was in the form of either 5-11C] glutamine or [5-11C] glutamate, with smaller amounts of radioactivity in the form of more downstream metabolites, including [11C]CO2. Systemic administration of the glutaminase inhibitor alters the arterial input curve by reducing the systemic rate of conversion of [5-11C] glutamine to [5-11C] glutamate. However, in GLS active tumors, [5-11C] glutamate retained in the large cellular glutamate pool represents a greater fraction of total radioactivity than in the blood and leads to a total tumor time-activity curve that is only marginally different than the total tumor time-activity curve after GLS inhibition. Data from blood and tissue analysis were used to test a hypothetical kinetic model for [5-11C] glutamine, which provided estimates of glutamate and glutamate tumor tissue concentrations and tumor GLS activity that agree with direct measurements in the animal models.
Conclusion: The study of [ 5-11C] glutamine in breast cancer models leads to kinetic insight that are in line with biochemical studies and direct measurement taken for tumor tissue obtained from the animal models. Retention of metabolized [5-11C] glutamine as [5-11C] glutamate in a large tissue pool in tumors with high GLS activity makes non-invasive inference of GLS activity challenging without additional ex vivo analysis, supporting the use of non-metabolized glutamine analogs such as such as [18F](2S,4R)4-fluoroglutamine ([18F]4F-Gln) to infer in vivo glutamine metabolism.
Citation Format: Christopher Hensley, Prashanth Padakanti, Hoon Choi, Christina Dulal, Hsiaojiu Lee, Austin Pantel, Rong Zhou, David Mankoff. Kinetic Analysis of [5-11C] glutamine PET tracer data in breast cancer: Preclinical studies in mouse models [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-15-11. |
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ISSN: | 1538-7445 1538-7445 |
DOI: | 10.1158/1538-7445.SABCS23-PO2-15-11 |