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Genistein Suppresses Prostate Cancer Growth through Inhibition of Oncogenic MicroRNA-151

Overview of attention for article published in PLOS ONE, August 2012
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Title
Genistein Suppresses Prostate Cancer Growth through Inhibition of Oncogenic MicroRNA-151
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043812
Pubmed ID
Authors

Takeshi Chiyomaru, Soichiro Yamamura, Mohd Saif Zaman, Shahana Majid, Guoren Deng, Varahram Shahryari, Sharanjot Saini, Hiroshi Hirata, Koji Ueno, Inik Chang, Yuichiro Tanaka, Z. Laura Tabatabai, Hideki Enokida, Masayuki Nakagawa, Rajvir Dahiya

Abstract

Genistein has been shown to suppress the growth of several cancers through modulation of various pathways. However, the effects of genistein on the regulation of oncogenic microRNA-151 (miR-151) have not been reported. In this study, we investigated whether genistein could alter the expression of oncogenic miR-151 and its target genes that are involved in the progression and metastasis of prostate cancer (PCa). Real-time RT-PCR showed that the expression of miR-151 was higher in PC3 and DU145 cells compared with RWPE-1 cells. Treatment of PC3 and DU145 cells with 25 µM genistein down-regulated the expression of miR-151 compared with vehicle control. Inhibition of miR-151 in PCa cells by genistein significantly inhibited cell migration and invasion. In-silico analysis showed that several genes (CASZ1, IL1RAPL1, SOX17, N4BP1 and ARHGDIA) suggested to have tumor suppressive functions were target genes of miR-151. Luciferase reporter assays indicated that miR-151 directly binds to specific sites on the 3'UTR of target genes. Quantitative real-time PCR analysis showed that the mRNA expression levels of the five target genes in PC3 and DU145 were markedly changed with miR-151 mimics and inhibitor. Kaplan-Meier curves and log-rank tests revealed that high expression levels of miR-151 had an adverse effect on survival rate. This study suggests that genistein mediated suppression of oncogenic miRNAs can be an important dietary therapeutic strategy for the treatment of PCa.

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Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Researcher 7 12%
Student > Doctoral Student 5 9%
Student > Bachelor 5 9%
Student > Postgraduate 3 5%
Other 11 19%
Unknown 17 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 21%
Medicine and Dentistry 11 19%
Biochemistry, Genetics and Molecular Biology 7 12%
Neuroscience 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 7%
Unknown 21 36%