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  4. Deregulated microRNAs in triple-negative breast cancer revealed by deep sequencing
 
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Deregulated microRNAs in triple-negative breast cancer revealed by deep sequencing

Journal
Molecular Cancer
Journal Volume
14
Journal Issue
1
Date Issued
2015
Author(s)
Chang, Y.-Y.
WEN-HUNG KUO  
Hung J.-H.
Lee C.-Y.
Lee Y.-H.
Chang Y.-C.
Lin W.-C.
Shen C.-Y.
CHIUN-SHENG HUANG  
FON-JOU HSIEH  
LIANG-CHUAN LAI  
Tsai M.-H.
KING-JEN CHANG  
MONG-HSUN TSAI  
ERIC YAO-YU CHUANG et al.  
DOI
10.1186/s12943-015-0301-9
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928736980&doi=10.1186%2fs12943-015-0301-9&partnerID=40&md5=4b4db4dce218aaf6e095308c9cb9066b
https://scholars.lib.ntu.edu.tw/handle/123456789/616625
Abstract
MicroRNAs (miRNAs) are short, non-coding RNA molecules that play critical roles in human malignancy. However, the regulatory characteristics of miRNAs in triple-negative breast cancer, a phenotype of breast cancer that does not express the genes for estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2, are still poorly understood. In this study, miRNA expression profiles of 24 triple-negative breast cancers and 14 adjacent normal tissues were analyzed using deep sequencing technology. Expression levels of miRNA reads were normalized with the quantile-quantile scaling method. Deregulated miRNAs in triple-negative breast cancer were identified from the sequencing data using the Student's t-test. Quantitative reverse transcription PCR validations were carried out to examine miRNA expression levels. Potential target candidates of a miRNA were predicted using published target prediction algorithms. Luciferase reporter assay experiments were performed to verify a putative miRNA-target relationship. Validated molecular targets of the deregulated miRNAs were retrieved from curated databases and their associations with cancer progression were discussed. A novel 25-miRNA expression signature was found to effectively distinguish triple-negative breast cancers from surrounding normal tissues in a hierarchical clustering analysis. We documented the evidence of seven polycistronic miRNA clusters preferentially harboring deregulated miRNAs in triple-negative breast cancer. Two of these miRNA clusters (miR-143-145 at 5q32 and miR-497-195 at 17p13.1) were markedly down-regulated in triple-negative breast cancer, while the other five miRNA clusters (miR-17-92 at 13q31.3, miR-183-182 at 7q32.2, miR-200-429 at 1p36.33, miR-301b-130b at 22q11.21, and miR-532-502 at Xp11.23) were up-regulated in triple-negative breast cancer. Moreover, miR-130b-5p from the miR-301b-130b cluster was shown to directly repress the cyclin G2 (CCNG2) gene, a crucial cell cycle regulator, in triple-negative breast cancer cells. Luciferase reporter assays showed that miR-130b-5p-mediated repression of CCNG2 was dependent on the sequence of the 3'-untranslated region. The findings described in this study implicate a miR-130b-5p-CCNG2 axis that may be involved in the malignant progression of triple-negative breast cancer. Our work delivers a clear picture of the global miRNA regulatory characteristics in triple-negative breast cancer and extends the current knowledge of microRNA regulatory network.
SDGs

[SDGs]SDG3

Publisher
BioMed Central Ltd.
Type
journal article

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