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Enhancing circadian clock function in cancer cells inhibits tumor growth

Overview of attention for article published in BMC Biology, February 2017
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Title
Enhancing circadian clock function in cancer cells inhibits tumor growth
Published in
BMC Biology, February 2017
DOI 10.1186/s12915-017-0349-7
Pubmed ID
Authors

Silke Kiessling, Lou Beaulieu-Laroche, Ian D. Blum, Dominic Landgraf, David K. Welsh, Kai-Florian Storch, Nathalie Labrecque, Nicolas Cermakian

Abstract

Circadian clocks control cell cycle factors, and circadian disruption promotes cancer. To address whether enhancing circadian rhythmicity in tumor cells affects cell cycle progression and reduces proliferation, we compared growth and cell cycle events of B16 melanoma cells and tumors with either a functional or dysfunctional clock. We found that clock genes were suppressed in B16 cells and tumors, but treatments inducing circadian rhythmicity, such as dexamethasone, forskolin and heat shock, triggered rhythmic clock and cell cycle gene expression, which resulted in fewer cells in S phase and more in G1 phase. Accordingly, B16 proliferation in vitro and tumor growth in vivo was slowed down. Similar effects were observed in human colon carcinoma HCT-116 cells. Notably, the effects of dexamethasone were not due to an increase in apoptosis nor to an enhancement of immune cell recruitment to the tumor. Knocking down the essential clock gene Bmal1 in B16 tumors prevented the effects of dexamethasone on tumor growth and cell cycle events. Here we demonstrated that the effects of dexamethasone on cell cycle and tumor growth are mediated by the tumor-intrinsic circadian clock. Thus, our work reveals that enhancing circadian clock function might represent a novel strategy to control cancer progression.

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X Demographics

The data shown below were collected from the profiles of 71 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 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 <1%
Belgium 1 <1%
Unknown 214 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 46 21%
Student > Ph. D. Student 35 16%
Researcher 29 13%
Student > Master 28 13%
Student > Postgraduate 10 5%
Other 28 13%
Unknown 40 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 75 35%
Agricultural and Biological Sciences 33 15%
Medicine and Dentistry 18 8%
Neuroscience 9 4%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Other 23 11%
Unknown 53 25%