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MicroRNA, hsa-miR-200c, is an independent prognostic factor in pancreatic cancer and its upregulation inhibits pancreatic cancer invasion but increases cell proliferation

Overview of attention for article published in Molecular Cancer, June 2010
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Title
MicroRNA, hsa-miR-200c, is an independent prognostic factor in pancreatic cancer and its upregulation inhibits pancreatic cancer invasion but increases cell proliferation
Published in
Molecular Cancer, June 2010
DOI 10.1186/1476-4598-9-169
Pubmed ID
Authors

Jun Yu, Kenoki Ohuchida, Kazuhiro Mizumoto, Norihiro Sato, Tadashi Kayashima, Hayato Fujita, Kouhei Nakata, Masao Tanaka

Abstract

Recently, the microRNA-200 family was reported to affect cancer biology by regulating epithelial to mesenchymal transition (EMT). Especially, the expression of miR-200c has been shown to be associated with upregulating the expression of E-cadherin, a gene known to be involved in pancreatic cancer behavior. However, the significance of miR-200c in pancreatic cancer is unknown. In the present study, we investigated the relationship between E-cadherin and miR-200c expression in a panel of 14 pancreatic cancer cell lines and in macro-dissected formalin-fixed paraffin-embedded (FFPE) tissue samples obtained from 99 patients who underwent pancreatectomy for pancreatic cancer. We also investigated the effects of miR-200c on the proliferation and invasion of pancreatic cancer cells. We found that patients with high levels of miR-200c expression had significantly better survival rates than those with low levels of miR-200c expression. We also found a remarkably strong correlation between the levels of miR-200c and E-cadherin expression. These data indicate that miR-200c may play a role in the pancreatic cancer biology and may be a novel marker for the prognosis of pancreatic cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Germany 1 1%
Australia 1 1%
Argentina 1 1%
Spain 1 1%
Unknown 80 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 31%
Researcher 17 20%
Student > Master 7 8%
Professor > Associate Professor 6 7%
Student > Doctoral Student 4 5%
Other 7 8%
Unknown 18 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 26%
Biochemistry, Genetics and Molecular Biology 19 22%
Medicine and Dentistry 14 16%
Engineering 3 4%
Chemistry 2 2%
Other 5 6%
Unknown 20 24%