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Cell Cycle Phase-Specific Drug Resistance as an Escape Mechanism of Melanoma Cells

Overview of attention for article published in Journal of Investigative Dermatology, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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1 news outlet
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6 X users

Citations

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56 Dimensions

Readers on

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64 Mendeley
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Title
Cell Cycle Phase-Specific Drug Resistance as an Escape Mechanism of Melanoma Cells
Published in
Journal of Investigative Dermatology, March 2016
DOI 10.1016/j.jid.2016.02.805
Pubmed ID
Authors

Kimberley A. Beaumont, David S. Hill, Sheena M. Daignault, Goldie Y.L. Lui, Danae M. Sharp, Brian Gabrielli, Wolfgang Weninger, Nikolas K. Haass

Abstract

The tumor microenvironment is characterized by cancer cell subpopulations with heterogeneous cell cycle profiles. For example, hypoxic tumor zones contain clusters of cancer cells that arrest in G1-phase. It is conceivable that neoplastic cells exhibit differential drug sensitivity based on their residence in specific cell cycle phases. Here, we have used two-dimensional and organotypic melanoma culture models in combination with fluorescent cell cycle indicators to investigate the effects of cell cycle phases on clinically used drugs. We demonstrate that G1-arrested melanoma cells, irrespective of the underlying cause mediating G1-arrest, are resistant to apoptosis induced by the proteasome inhibitor bortezomib or the alkylating agent temozolomide. In contrast, G1-arrested cells were more sensitive to MAPK pathway inhibitor-induced cell death. Of clinical relevance, pre-treatment of melanoma cells with a MAPK pathway inhibitor, which induced G1-arrest, resulted in resistance to temozolomide or bortezomib. On the other hand, pre-treatment with temozolomide, which induced G2-arrest, did not result in resistance to MAPK pathway inhibitors. In summary, we have established a model to study the effects of the cell cycle on drug sensitivity. Cell cycle phase-specific drug resistance is an escape mechanism of melanoma cells that has implications on the choice and timing of drug combination therapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Researcher 11 17%
Student > Doctoral Student 6 9%
Student > Master 6 9%
Student > Bachelor 4 6%
Other 6 9%
Unknown 19 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 31%
Agricultural and Biological Sciences 11 17%
Medicine and Dentistry 6 9%
Chemistry 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 4 6%
Unknown 16 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 02 August 2023.
All research outputs
#2,459,583
of 25,374,647 outputs
Outputs from Journal of Investigative Dermatology
#603
of 8,996 outputs
Outputs of similar age
#38,347
of 314,783 outputs
Outputs of similar age from Journal of Investigative Dermatology
#15
of 111 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,996 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 93% 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 314,783 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.