Literature DB >> 26279431

Low Expression of miR-491 Promotes Esophageal Cancer Cell Invasion by Targeting TPX2.

Hongyan Niu1, Li Gong, Xiaofeng Tian, Liangwei Fang, Chengxiang Wang, Yi Zhu.   

Abstract

BACKGROUND/AIMS: MicroRNAs (miRNAs) have a key role in carcinogenesis and cancer development, but the role of miRNAs in the progression of esophageal cancer (EC) remains unclear.
METHODS: The TE-1 and Eca-109 EC cell lines were used. The expression of miR-491 and candidate gene TPX2 in EC samples (n=99) were detected by RT-PCR. The cells invasive ability was determined by transwell assay. The luciferase reporter assay was used to confirm the regulation mechanism.
RESULTS: A decreased expression of miR-491 was detected in the EC clinical samples compared with the corresponding adjacent tumor tissues. Aberrant expression of miR-491 regulated cells invasion and EMT markers. Furthermore, we verified that TPX2 was a target gene of miR-491.
CONCLUSIONS: miR-491 may play a critical role in EC.
© 2015 S. Karger AG, Basel.

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Year:  2015        PMID: 26279431     DOI: 10.1159/000430190

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  5 in total

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Authors:  Ruifang Sun; Zhigang Liu; Dongdong Tong; Yang Yang; Bo Guo; Xiaofei Wang; Lingyu Zhao; Chen Huang
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Authors:  Ting Yu; Li-Na Wang; Wei Li; Qian-Fei Zuo; Meng-Meng Li; Quan-Ming Zou; Bin Xiao
Journal:  Cancer Sci       Date:  2018-04-22       Impact factor: 6.716

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Authors:  Zheng-Yuan Xie; Mao-Sheng Liu; Cong Zhang; Peng-Cheng Cai; Zhi-Hua Xiao; Fen-Fen Wang
Journal:  Biosci Rep       Date:  2018-11-09       Impact factor: 3.840

4.  Gene co-expression network reveals shared modules predictive of stage and grade in serous ovarian cancers.

Authors:  Qian Sun; Haiyue Zhao; Cong Zhang; Ting Hu; Jianli Wu; Xingguang Lin; Danfeng Luo; Changyu Wang; Li Meng; Ling Xi; Kezhen Li; Junbo Hu; Ding Ma; Tao Zhu
Journal:  Oncotarget       Date:  2017-06-27

5.  Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.

Authors:  Tan Yu-Jing; Tang Wen-Jing; Tang Biao
Journal:  Med Sci Monit       Date:  2020-08-05
  5 in total

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