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miR-143 inhibits the metastasis of pancreatic cancer and an associated signaling pathway

Overview of attention for article published in Tumor Biology, October 2012
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Title
miR-143 inhibits the metastasis of pancreatic cancer and an associated signaling pathway
Published in
Tumor Biology, October 2012
DOI 10.1007/s13277-012-0446-8
Pubmed ID
Authors

Yongjun Hu, Yanglu Ou, Kemin Wu, Yuxiang Chen, Weijia Sun

Abstract

Pancreatic cancer is characterized by early metastasis and high mortality. In this study, the role of miR-143 in invasion and metastasis was investigated in pancreatic cancer cells. miR-143 expression was established by an adenovirus-carried miR-143 expression cassette. mRNA and protein levels of gene expression were examined by RT-PCR and Western blot assay, respectively. Rho GTPases activity was measured by the pull down assay. The role of miR-143 in migration and invasion of Panc-1 cells was tested in vitro. The antimetastatic effect of miR-143 was tested in a liver metastasis model, while its antitumor growth effect was tested in a xenograft Panc-1 tumor model. Results demonstrated that ARHGEF1 (GEF1), ARHGEF2 (GEF2), and K-RAS genes are the targets of miR-143. miR-143 expression significantly decreased mRNA and protein levels of GEF1, GEF2, and K-RAS genes; lowered the constitutive activities of RhoA, Rac1, and Cdc42 GTPases; decreased the protein levels of MMP-2 and MMP-9; but significantly increased the protein level of E-cadherin. miR-143 expression also significantly inhibited the migration and invasion of Panc-1 cells in vitro, liver metastasis, and xenograft tumor growth in vivo. Our study suggested that miR-143 plays a central role in the invasion and metastasis of pancreatic cancer and miR-143 is a potential target for pancreatic cancer therapy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Portugal 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 25%
Student > Ph. D. Student 7 19%
Student > Master 6 17%
Researcher 6 17%
Student > Doctoral Student 1 3%
Other 1 3%
Unknown 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 44%
Medicine and Dentistry 8 22%
Biochemistry, Genetics and Molecular Biology 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Immunology and Microbiology 1 3%
Other 0 0%
Unknown 6 17%