| Title |
miR-206 regulates 5-FU resistance by targeting Bcl-2 in colon cancer cells
|
|---|---|
| Published in |
OncoTargets and therapy, March 2018
|
| DOI | 10.2147/ott.s159093 |
| Pubmed ID | |
| Authors |
Xiaomin Meng, Rao Fu |
| Abstract |
Previous studies have found that miRNAs play a key role in drug resistance. Multiple reports show that miRNAs act as regulators in colorectal cancer (CRC) cells, but the role of miR-206 in CRC is still not well understood. The current study aimed to explore the potential function of miR-206 in 5-FU resistance. To indentify the role of miR-206 in 5-FU resistance, the expression of miR-206 was examined by real-time polymerase chain reaction (RT-PCR) in 5-FU-resistant (FR) CRC (HCT116/FR and RKO/FR) and their parental cell lines. miR-206 mimic was transfected to 5-FU-FR CRC, and the 5-FU sensitivity was detected by MTS and flow cytometry. Using miRNA target prediction software, we found that miR-206 could target the 3' untranslated region (3'UTR) sequence of Bcl-2. miR-206 was found to be downregulated in 5-FU-FR CRC in comparison with their parental cell lines, suggesting its crucial relevance for colon cancer biology. Downregulation of miR-206 promoted drug resistance and decreased apoptosis of parental cells, while overexpression of miR-206 promoted drug cytotoxicity and apoptosis of HCT116/FR cells. We also identified miR-206 targeting Bcl-2 directly in CRC, which is required for miR-206 mediated-5-FU resistance. Our results show that miR-206 targets Bcl-2 to mediate chemoresistance, proliferation, and apoptosis in CRC. This study provides a novel promising candidate for colon cancer therapy. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 22% |
| Student > Master | 6 | 22% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Bachelor | 1 | 4% |
| Professor > Associate Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 33% |
| Medicine and Dentistry | 4 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 March 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,597
of 3,016 outputs
Outputs of similar age
#269,495
of 344,853 outputs
Outputs of similar age from OncoTargets and therapy
#51
of 90 outputs
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