Chapter title |
Organ-Specific Cancer Metabolism and Its Potential for Therapy
|
---|---|
Chapter number | 10 |
Book title |
Metabolic Control
|
Published in |
Handbook of experimental pharmacology, April 2015
|
DOI | 10.1007/164_2015_10 |
Pubmed ID | |
Book ISBNs |
978-3-31-929804-7, 978-3-31-929806-1
|
Authors |
Ilaria Elia, Roberta Schmieder, Stefan Christen, Sarah-Maria Fendt, Elia, Ilaria, Schmieder, Roberta, Christen, Stefan, Fendt, Sarah-Maria |
Abstract |
Targeting the metabolism of cancer cells has the potential to lead to major advances in tumor therapy. Numerous promising metabolic drug targets have been identified. Yet, it has emerged that there is no singular metabolism that defines the oncogenic state of the cell. Rather, the metabolism of cancer cells is a function of the requirements of a tumor. Hence, the tissue of origin, the (epi)genetic drivers, the aberrant signaling, and the microenvironment all together define these metabolic requirements. In this chapter we discuss in light of (epi)genetic, signaling, and environmental factors the diversity in cancer metabolism based on triple-negative and estrogen receptor-positive breast cancer, early- and late-stage prostate cancer, and liver cancer. These types of cancer all display distinct and partially opposing metabolic behaviors (e.g., Warburg versus reverse Warburg metabolism). Yet, for each of the cancers, their distinct metabolism supports the oncogenic phenotype. Finally, we will assess the therapeutic potential of metabolism based on the concepts of metabolic normalization and metabolic depletion. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Spain | 2 | <1% |
Italy | 1 | <1% |
Uruguay | 1 | <1% |
Sweden | 1 | <1% |
Portugal | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Netherlands | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 1 | <1% |
Unknown | 550 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 110 | 20% |
Researcher | 94 | 17% |
Student > Master | 88 | 16% |
Student > Bachelor | 77 | 14% |
Other | 37 | 7% |
Other | 87 | 15% |
Unknown | 69 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 125 | 22% |
Biochemistry, Genetics and Molecular Biology | 104 | 19% |
Medicine and Dentistry | 83 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 48 | 9% |
Chemistry | 24 | 4% |
Other | 98 | 17% |
Unknown | 80 | 14% |