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Michigan Publishing

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 (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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6 news outlets
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25 X users
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1 patent

Citations

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285 Dimensions

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219 Mendeley
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

Ming Luo, Li Shang, Michael D. Brooks, Evelyn Jiagge, Yongyou Zhu, Johanna M. Buschhaus, Sarah Conley, Melissa A. Fath, April Davis, Elizabeth Gheordunescu, Yongfang Wang, Ramdane Harouaka, Ann Lozier, Daniel Triner, Sean McDermott, Sofia D. Merajver, Gary D. Luker, Douglas R. Spitz, Max S. Wicha

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 219 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 21%
Researcher 35 16%
Student > Bachelor 22 10%
Student > Master 22 10%
Student > Doctoral Student 17 8%
Other 25 11%
Unknown 53 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 76 35%
Agricultural and Biological Sciences 23 11%
Medicine and Dentistry 15 7%
Engineering 6 3%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Other 26 12%
Unknown 68 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 17 February 2022.
All research outputs
#820,616
of 25,508,813 outputs
Outputs from Cell Metabolism (Science Direct)
#837
of 3,183 outputs
Outputs of similar age
#17,631
of 341,856 outputs
Outputs of similar age from Cell Metabolism (Science Direct)
#32
of 63 outputs
Altmetric has tracked 25,508,813 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 3,183 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 74.0. This one has gotten more attention than average, scoring higher than 73% 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 341,856 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 94% of its contemporaries.
We're also able to compare this research output to 63 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 50% of its contemporaries.