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Updated: May 19, 2026
06:51
Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer
Published on: July 21, 2018
Tools and Technologies for Studying Cancer Metabolism.
Ayush Madan1, Subhajit Mandal2, Soukat Chandra3
1Department of Biotechnology, School of Research and Technology, People's University, Bhopal, Madhya Pradesh, India.
Cancer Treatment and Research
|May 17, 2026
Summary
Researchers explored various tools for cancer metabolism studies, including mass spectrometry, NMR spectroscopy, metabolic imaging, and flux analysis. These techniques advance understanding of metabolic reprogramming and cellular phenotypes in cancer.
Area of Science:
- Oncology
- Biochemistry
- Metabolomics
Background:
- Cancer metabolism is a hallmark of cancer, involving significant alterations in cellular metabolic pathways.
- Understanding these metabolic changes is crucial for developing targeted cancer therapies.
Purpose of the Study:
- To review and discuss the diverse analytical techniques used in cancer metabolism research.
- To highlight how these tools contribute to understanding metabolic reprogramming and biological phenotypes in cancer.
Main Methods:
- Mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy for metabolomics.
- Metabolic imaging (PET, MRI, MRS) for in vivo analysis.
- Metabolic flux analysis (MFA) using stable isotope tracers.
- Microfluidic systems and fluorescence-activated cell sorting (FACS) for specialized analyses.
Main Results:
- These techniques enable the detection and quantification of metabolites in cells and organisms.
- They provide insights into metabolic pathway dynamics and cellular metabolism.
- The application of these tools has significantly advanced the understanding of cancer's metabolic landscape.
Conclusions:
- A wide array of analytical platforms are essential for comprehensive cancer metabolism studies.
- Technological advancements in metabolomics and imaging are driving progress in cancer research.
- These tools are pivotal for unraveling metabolic reprogramming and its link to cancer phenotypes.
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