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Metabolism in Cancer

Overview of attention for book
Attention for Chapter 6: Metabolic Features of Cancer Treatment Resistance.
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Chapter title
Metabolic Features of Cancer Treatment Resistance.
Chapter number 6
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_6
Pubmed ID
Book ISBNs
978-3-31-942116-2, 978-3-31-942118-6

Andrea Viale, Giulio F. Draetta, Viale, Andrea, Draetta, Giulio F.


Thorsten Cramer, Clemens A. Schmitt


A major barrier to achieving durable remission and a definitive cure in oncology patients is the emergence of tumor resistance, a common outcome of different disease types, and independent from the therapeutic approach undertaken. In recent years, subpopulations of slow-cycling cells endowed with enhanced tumorigenic potential and multidrug resistance have been isolated in different tumors, and mounting experimental evidence suggests these resistant cells are responsible for tumor relapse. An in-depth metabolic characterization of resistant tumor stem cells revealed that they rely more on mitochondrial respiration and less on glycolysis than other tumor cells, a finding that challenges the assumption that tumors have a primarily glycolytic metabolism and defective mitochondria. The demonstration of a metabolic program in resistant tumorigenic cells that may be present in the majority of tumors has important therapeutic implications and is a critical consideration as we address the challenge of identifying new vulnerabilities that might be exploited therapeutically.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 56%
Researcher 2 13%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Unknown 3 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 19%
Biochemistry, Genetics and Molecular Biology 2 13%
Medicine and Dentistry 2 13%
Engineering 2 13%
Social Sciences 1 6%
Other 2 13%
Unknown 4 25%