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When fats commit crimes: fatty acid metabolism, cancer stemness and therapeutic resistance

Overview of attention for article published in Cancer Communications, July 2018
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Title
When fats commit crimes: fatty acid metabolism, cancer stemness and therapeutic resistance
Published in
Cancer Communications, July 2018
DOI 10.1186/s40880-018-0317-9
Pubmed ID
Authors

Ching‐Ying Kuo, David K. Ann

Abstract

The role of fatty acid metabolism, including both anabolic and catabolic reactions in cancer has gained increasing attention in recent years. Many studies have shown that aberrant expression of the genes involved in fatty acid synthesis or fatty acid oxidation correlate with malignant phenotypes including metastasis, therapeutic resistance and relapse. Such phenotypes are also strongly associated with the presence of a small percentage of unique cells among the total tumor cell population. This distinct group of cells may have the ability to self-renew and propagate or may be able to develop resistance to cancer therapies independent of genetic alterations. Therefore, these cells are referred to as cancer stem cells/tumor-initiating cells/drug-tolerant persisters, which are often refractory to cancer treatment and difficult to target. Moreover, interconversion between cancer cells and cancer stem cells/tumor-initiating cells/drug-tolerant persisters may occur and makes treatment even more challenging. This review highlights recent findings on the relationship between fatty acid metabolism, cancer stemness and therapeutic resistance and prompts discussion about the potential mechanisms by which fatty acid metabolism regulates the fate of cancer cells and therapeutic resistance.

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The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 19%
Researcher 27 17%
Student > Master 20 13%
Student > Bachelor 17 11%
Student > Doctoral Student 8 5%
Other 18 11%
Unknown 38 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 30%
Agricultural and Biological Sciences 17 11%
Medicine and Dentistry 12 8%
Immunology and Microbiology 9 6%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Other 21 13%
Unknown 46 29%