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miR-1236-3p inhibits invasion and metastasis in gastric cancer by targeting MTA2

Overview of attention for article published in Cancer Cell International, May 2018
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Title
miR-1236-3p inhibits invasion and metastasis in gastric cancer by targeting MTA2
Published in
Cancer Cell International, May 2018
DOI 10.1186/s12935-018-0560-9
Pubmed ID
Authors

Jia-Xiang An, Ming-Hui Ma, Chun-Dong Zhang, Shuai Shao, Nuo-Ming Zhou, Dong-Qiu Dai

Abstract

MicroRNAs deregulation are common in human tumor progression. miR-1236-3p has been reported to function as tumor suppressor microRNA in various malignancies. The aim of this study was to demonstrate the downregulated expression of miR-1236-3p in gastric cancer (GC) tissues and cell lines, and clarify its biological function in GC. Real-time polymerase chain reaction was used to measure the mRNA level of miR-1236-3p in GC. Dual luciferase assay was used to demonstrate that MTA2 was one of the candidate target genes of miR-1236-3p. Western blots were utilized to detect the protein levels. Cell function assays were also performed to determine the function of miR-1236-3p in GC. miR-1236-3p expression, which was associated with lymph node metastasis, differentiation and clinical stage, was significantly reduced in GC tissues and cell lines. miR-1236-3p over-expression could inhibit GC cell proliferation, migration and invasion, and inhibition of miR-1236-3p expression had opposite effects. Furthermore, we demonstrated that MTA2 was a candidate target of miR-1236-3p, and miR-1236-3p over-expression significantly inhibited the process of epithelial-mesenchymal transition. We also found that miR-1236-3p could suppress the PI3K/Akt signaling pathway in GC cells. Our results suggest that miR-1236-3p functions as a tumor suppressor in GC and could be a promising therapeutic target for GC.

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Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Unspecified 1 11%
Student > Bachelor 1 11%
Researcher 1 11%
Lecturer > Senior Lecturer 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Unspecified 1 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Agricultural and Biological Sciences 1 11%
Unknown 4 44%