Chapter title |
Metabolism in Cancer
|
---|---|
Chapter number | 8 |
Book title |
Metabolism in Cancer
|
Published in |
Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer, August 2016
|
DOI | 10.1007/978-3-319-42118-6_8 |
Pubmed ID | |
Book ISBNs |
978-3-31-942116-2, 978-3-31-942118-6
|
Authors |
Apostolova, Ivayla, Wedel, Florian, Brenner, Winfried, Ivayla Apostolova, Florian Wedel, Winfried Brenner |
Editors |
Thorsten Cramer, Clemens A. Schmitt |
Abstract |
Molecular imaging employing PET/CT enables in vivo visualization, characterization, and measurement of biologic processes in tumors at a molecular and cellular level. Using specific metabolic tracers, information about the integrated function of multiple transporters and enzymes involved in tumor metabolic pathways can be depicted, and the tracers can be directly applied as biomarkers of tumor biology. In this review, we discuss the role of F-18-fluorodeoxyglucose (FDG) as an in vivo glycolytic marker which reflects alterations of glucose metabolism in cancer cells. This functional molecular imaging technique offers a complementary approach to anatomic imaging such as computed tomography (CT) and magnetic resonance imaging (MRI) and has found widespread application as a diagnostic modality in oncology to monitor tumor biology, optimize the therapeutic management, and guide patient care. Moreover, emerging methods for PET imaging of further biologic processes relevant to cancer are reviewed, with a focus on tumor hypoxia and aberrant tumor perfusion. Hypoxic tumors are associated with poor disease control and increased resistance to cytotoxic and radiation treatment. In vivo imaging of hypoxia, perfusion, and mismatch of metabolism and perfusion has the potential to identify specific features of tumor microenvironment associated with poor treatment outcome and, thus, contribute to personalized treatment approaches. |
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Unknown | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 6 | 21% |
Researcher | 4 | 14% |
Student > Doctoral Student | 3 | 11% |
Student > Bachelor | 3 | 11% |
Student > Master | 3 | 11% |
Other | 5 | 18% |
Unknown | 4 | 14% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 8 | 29% |
Biochemistry, Genetics and Molecular Biology | 5 | 18% |
Agricultural and Biological Sciences | 4 | 14% |
Computer Science | 2 | 7% |
Engineering | 2 | 7% |
Other | 1 | 4% |
Unknown | 6 | 21% |