Imaging of Metabolism and Metabolic Pathways in Cancer

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Endocrinology and Clinical Metabolic Research".

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 3588

Special Issue Editors


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Guest Editor
1. Department of Neurosurg, Friedrich-Alexander University of Erlangen Nürnberg, 91054 Erlangen, Germany
2. Institute of Medical Radiology, University Clinic St. Pölten, Karl Landsteiner University of Health Sciences, 3100 St. Pölten, Austria
Interests: metabolic imaging; brain tumors; Warburg effect; reverse Warburg effect; tumor microinvironment; metabolic coupling; energy metabolism; magentic resonance imaging; Förster resonance energy transfer imaging; artificial intelligence; deep learning
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Guest Editor
Department of Neurosurgery, Division of Functional Neurosurgery and Stereotaxy, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, Erlangen, Germany
Interests: neuroscience
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Altered metabolism is recognized as a core hallmark of cancer and regarded as important as other features, such as sustained angiogenesis and avoiding immune destruction. Cancer cells can reprogram their metabolism to promote cellular growth and proliferation, adapt to nutrient- or oxygen-depleted environments, and escape immune surveillance.

Metabolic imaging targets these alterations in metabolic pathways for the evaluation of different clinical conditions. In cancer, imaging and quantifying metabolic changes noninvasively enhances our understanding of carcinogenesis and holds great potential to facilitate diagnosis, prognosis, and treatment effectiveness.

The aim of the present Special Issue is to serve as a forum for the publication of original studies and review articles addressing the non-invasive imaging of metabolism and metabolic pathways in cancer.

Prof. Dr. Andreas Stadlbauer
Prof. Dr. Thomas M. Kinfe
Guest Editor

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Keywords

  • Cancer metabolism
  • Metabolic Imaging
  • Metabolic coupling in cancer
  • Reverse Warburg effect

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Published Papers (1 paper)

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Research

11 pages, 1882 KiB  
Article
Monitoring Early Glycolytic Flux Alterations Following Radiotherapy in Cancer and Immune Cells: Hyperpolarized Carbon-13 Magnetic Resonance Imaging Study
by Ying-Chieh Lai, Ching-Yi Hsieh, Kuan-Ying Lu, Cheng-Hsuan Sung, Hung-Yao Ho, Mei-Ling Cheng, Albert P. Chen, Shu-Hang Ng, Fang-Hsin Chen and Gigin Lin
Metabolites 2021, 11(8), 518; https://doi.org/10.3390/metabo11080518 - 6 Aug 2021
Cited by 9 | Viewed by 2932
Abstract
Alterations in metabolism following radiotherapy affect therapeutic efficacy, although the mechanism underlying such alterations is unclear. A new imaging technique—named dynamic nuclear polarization (DNP) carbon-13 magnetic resonance imaging (MRI)—probes the glycolytic flux in a real-time, dynamic manner. The [1-13C]pyruvate is transported [...] Read more.
Alterations in metabolism following radiotherapy affect therapeutic efficacy, although the mechanism underlying such alterations is unclear. A new imaging technique—named dynamic nuclear polarization (DNP) carbon-13 magnetic resonance imaging (MRI)—probes the glycolytic flux in a real-time, dynamic manner. The [1-13C]pyruvate is transported by the monocarboxylate transporter (MCT) into cells and converted into [1-13C]lactate by lactate dehydrogenase (LDH). To capture the early glycolytic alterations in the irradiated cancer and immune cells, we designed a preliminary DNP 13C-MRI study by using hyperpolarized [1-13C]pyruvate to study human FaDu squamous carcinoma cells, HMC3 microglial cells, and THP-1 monocytes before and after irradiation. The pyruvate-to-lactate conversion rate (kPL [Pyr.]) calculated by kinetic modeling was used to evaluate the metabolic alterations. Western blotting was performed to assess the expressions of LDHA, LDHB, MCT1, and MCT4 proteins. Following irradiation, the pyruvate-to-lactate conversion rates on DNP 13C-MRI were significantly decreased in the FaDu and the HMC3 cells but increased in the THP-1 cells. Western blot analysis confirmed the similar trends in LDHA and LDHB expression levels. In conclusion, DNP 13C-MRI non-invasively captured the different glycolytic alterations among cancer and immune systems in response to irradiation, implying its potential for clinical use in the future. Full article
(This article belongs to the Special Issue Imaging of Metabolism and Metabolic Pathways in Cancer)
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