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Stat3 inhibits Beclin 1 expression through recruitment of HDAC3 in nonsmall cell lung cancer cells

Overview of attention for article published in Tumor Biology, April 2014
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Title
Stat3 inhibits Beclin 1 expression through recruitment of HDAC3 in nonsmall cell lung cancer cells
Published in
Tumor Biology, April 2014
DOI 10.1007/s13277-014-1961-6
Pubmed ID
Authors

Li-Jun Miao, Feng-Xiang Huang, Zhen-Tao Sun, Rui-Xia Zhang, Shi-Fu Huang, Jing Wang

Abstract

Recent studies have shown that Beclin 1, a key regulator of autophagic process, is frequently downregulated and may serve as an independent prognostic biomarker for nonsmall cell lung cancer. However, the molecular mechanisms underlying its downregulation remain poorly understood. The signal transducer and activator of transcription 3 (Stat3) is a transcription factor which plays a crucial role for multiple tumor growth and progression. Here, we demonstrate that Beclin 1 is a direct transcriptional target of Stat3 in lung cancer cells. Interleukin-6 (IL-6) treatment or transfection of a constitutively activated Stat3 in AGS and NCI-H1650 cells inhibited Beclin 1 expression. At the molecular level, we further revealed that Stat3 could directly bind to the promoter region of Beclin 1 and repressed its transcription through recruiting histone deacetylase 3 (HDAC3). Collectively, our results suggest that the activated Stat3 may represent an important mechanism for Beclin 1 downregulation in nonsmall cell lung cancer development.

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The data shown below were collected from the profile of 1 X user 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Student > Bachelor 2 12%
Student > Master 2 12%
Student > Postgraduate 2 12%
Professor 1 6%
Other 2 12%
Unknown 3 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 41%
Agricultural and Biological Sciences 4 24%
Medicine and Dentistry 1 6%
Chemistry 1 6%
Engineering 1 6%
Other 0 0%
Unknown 3 18%
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 03 May 2014.
All research outputs
#18,371,959
of 22,755,127 outputs
Outputs from Tumor Biology
#1,370
of 2,622 outputs
Outputs of similar age
#164,006
of 227,002 outputs
Outputs of similar age from Tumor Biology
#50
of 87 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 30th percentile – i.e., 30% 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 227,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.