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CypA, a Gene Downstream of HIF-1α, Promotes the Development of PDAC

Overview of attention for article published in PLOS ONE, March 2014
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Title
CypA, a Gene Downstream of HIF-1α, Promotes the Development of PDAC
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0092824
Pubmed ID
Authors

Huan Zhang, Jing Chen, Fenghua Liu, Chuntao Gao, Xiuchao Wang, Tiansuo Zhao, Jingcheng Liu, Song Gao, Xiao Zhao, He Ren, Jihui Hao

Abstract

Hypoxia-inducible factor-1α (HIF-1α) is a highly important transcription factor involved in cell metabolism. HIF-1α promotes glycolysis and inhibits of mitochondrial respiration in pancreatic ductal adenocarcinoma (PDAC). In response to tumor hypoxia, cyclophilin A (CypA) is over-expressed in various cancer types, and is associated with cell apoptosis, tumor invasion, metastasis, and chemoresistance in PDAC. In this study, we showed that both HIF-1α and CypA expression were significantly associated with lymph node metastasis and tumor stage. The expression of CypA was correlated with HIF-1α. Moreover, the mRNA and protein expression of CypA markedly decreased or increased following the suppression or over-expression of HIF-1α in vitro. Chromatin immunoprecipitation analysis showed that HIF-1α could directly bind to the hypoxia response element (HRE) in the CypA promoter regions and regulated CypA expression. Consistent with other studies, HIF-1α and CypA promoted PDAC cell proliferation and invasion, and suppressed apoptosis in vitro. Furthermore, we proved the combination effect of 2-methoxyestradiol and cyclosporin A both in vitro and in vivo. These results suggested that,CypA, a gene downstream of HIF-1α, could promote the development of PDAC. Thus, CypA might serve as a potential therapeutic target for PDAC.

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Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 33%
Researcher 7 21%
Professor 3 9%
Other 3 9%
Student > Master 3 9%
Other 5 15%
Unknown 1 3%
Readers by discipline Count As %
Medicine and Dentistry 13 39%
Biochemistry, Genetics and Molecular Biology 7 21%
Agricultural and Biological Sciences 6 18%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Computer Science 1 3%
Other 1 3%
Unknown 3 9%