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Endoplasmic reticulum stress-induced autophagy determines the susceptibility of melanoma cells to dabrafenib

Overview of attention for article published in Drug Design, Development and Therapy, August 2016
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Title
Endoplasmic reticulum stress-induced autophagy determines the susceptibility of melanoma cells to dabrafenib
Published in
Drug Design, Development and Therapy, August 2016
DOI 10.2147/dddt.s112740
Pubmed ID
Authors

Chao Ji, Ziping Zhang, Lihong Chen, Kunli Zhou, Dongjun Li, Ping Wang, Shuying Huang, Ting Gong, Bo Cheng

Abstract

Melanoma is one of the deadliest skin cancers and accounts for most skin-related deaths due to strong resistance to chemotherapy drugs. In the present study, we investigated the mechanisms of dabrafenib-induced drug resistance in human melanoma cell lines A375 and MEL624. Our studies support that both endoplasmic reticulum (ER) stress and autophagy were induced in the melanoma cells after the treatment with dabrafenib. In addition, ER stress-induced autophagy protects melanoma cells from the toxicity of dabrafenib. Moreover, inhibition of both ER stress and autophagy promote the sensitivity of melanoma cells to dabrafenib. Taken together, the data suggest that ER stress-induced autophagy determines the sensitivity of melanoma cells to dabrafenib. These results provide us with promising evidence that the inhibition of autophagy and ER stress could serve a therapeutic effect for the conventional dabrafenib chemotherapy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Student > Master 2 17%
Student > Doctoral Student 1 8%
Professor 1 8%
Lecturer 1 8%
Other 3 25%
Unknown 2 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 67%
Agricultural and Biological Sciences 1 8%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 August 2016.
All research outputs
#19,945,185
of 25,377,790 outputs
Outputs from Drug Design, Development and Therapy
#1,310
of 2,268 outputs
Outputs of similar age
#284,468
of 381,031 outputs
Outputs of similar age from Drug Design, Development and Therapy
#38
of 76 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 381,031 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.