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Targeting Breast Cancer Stem Cell State Equilibrium through Modulation of Redox Signaling

Overview of attention for article published in Cell Metabolism (Science Direct), July 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

news
6 news outlets
twitter
22 X users

Readers on

mendeley
256 Mendeley
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Article details
Title
Targeting Breast Cancer Stem Cell State Equilibrium through Modulation of Redox Signaling
Published in
Cell Metabolism (Science Direct), July 2018
DOI 10.1016/j.cmet.2018.06.006
Pubmed ID
Authors
Abstract

Although breast cancer stem cells (BCSCs) display plasticity transitioning between quiescent mesenchymal-like (M) and proliferative epithelial-like (E) states, how this plasticity is regulated by metabolic or oxidative stress remains poorly understood. Here, we show that M- and E-BCSCs rely on distinct metabolic pathways and display markedly different sensitivities to inhibitors of glycolysis and redox metabolism. Metabolic or oxidative stress generated by 2DG, H2O2, or hypoxia promotes the transition of ROSlo M-BCSCs to a ROShi E-state. This transition is reversed by N-acetylcysteine and mediated by activation of the AMPK-HIF1α axis. Moreover, E-BCSCs exhibit robust NRF2-mediated antioxidant responses, rendering them vulnerable to ROS-induced differentiation and cytotoxicity following suppression of NRF2 or downstream thioredoxin (TXN) and glutathione (GSH) antioxidant pathways. Co-inhibition of glycolysis and TXN and GSH pathways suppresses tumor growth, tumor-initiating potential, and metastasis by eliminating both M- and E-BCSCs. Exploiting metabolic vulnerabilities of distinct BCSC states provides a novel therapeutic approach targeting this critical tumor cell population.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 256 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 49 19%
Researcher 36 14%
Student > Bachelor 24 9%
Student > Master 23 9%
Student > Doctoral Student 17 7%
Other 25 10%
Unknown 82 32%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 82 32%
Agricultural and Biological Sciences 23 9%
Medicine and Dentistry 16 6%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Engineering 5 2%
Other 29 11%
Unknown 96 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 July 2020.
All research outputs
#1,092,325
of 34,376,207 outputs
Outputs from Cell Metabolism (Science Direct)
#1,041
of 3,801 outputs
Outputs of similar age
#17,697
of 372,930 outputs
Outputs of similar age from Cell Metabolism (Science Direct)
#31
of 64 outputs
Altmetric has tracked 34,376,207 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,801 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 76.0. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 372,930 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.