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Clusterin modulates transdifferentiation of non-small-cell lung cancer

Overview of attention for article published in BMC Cancer, September 2017
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Title
Clusterin modulates transdifferentiation of non-small-cell lung cancer
Published in
BMC Cancer, September 2017
DOI 10.1186/s12885-017-3649-y
Pubmed ID
Authors

Runsen Jin, Xingshi Chen, Dingpei Han, Xiaoying Luo, Hecheng Li

Abstract

Secreted clusterin (sCLU), a 75-80 kDa disulfide-linked heterodimeric protein, plays crucial roles in various pathophysiological processes, including lipid transport, tissue remodeling, cell apoptosis and reproduction. Our previous studies demonstrated that sCLU could influence cell apoptosis, proliferation, and invasion of non-small cell lung cancer (NSCLC) cells. In this study, clusterin's function in regulating transdifferentiation of NSCLC cells was investigated. In addition, we examined the correlation between clusterin and clinicopathological features of lung cancer. We found that clusterin was increased in lung adenocarcinoma tissues and decreased in lung squamous cell carcinoma tissues through immunohistochemical technique. In cultured lung adenocarcinoma cell lines, clusterin addition could increase SP-C protein expression in 2.75-fold, and decrease p63 protein expression in 0.65-fold (1.54 to 1). And also clusterin addition could increase SP-C mRNA expression in 4.05-fold, decreased p63 mRNA expression in 0.51-fold. Our study demonstrated that clusterin could promote EMT and influence transdifferentiation from lung squamous cell carcinoma to lung adenocarcinoma. However, we found that clusterin expression have no correlation with malignance associate clinicopathological data. Our study may help to further elucidate the development and progression of NSCLC, also it may contribute to the research of therapies targeting sCLU.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 27%
Student > Doctoral Student 2 13%
Professor 2 13%
Student > Ph. D. Student 2 13%
Student > Master 1 7%
Other 1 7%
Unknown 3 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 27%
Pharmacology, Toxicology and Pharmaceutical Science 2 13%
Medicine and Dentistry 2 13%
Business, Management and Accounting 1 7%
Unknown 6 40%
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 October 2017.
All research outputs
#19,292,491
of 23,881,329 outputs
Outputs from BMC Cancer
#5,591
of 8,483 outputs
Outputs of similar age
#249,656
of 322,681 outputs
Outputs of similar age from BMC Cancer
#88
of 120 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,483 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.