| Title |
MicroRNA-218 regulates cisplatin (DPP) chemosensitivity in non-small cell lung cancer by targeting RUNX2
|
|---|---|
| Published in |
Tumor Biology, August 2015
|
| DOI | 10.1007/s13277-015-3831-2 |
| Pubmed ID | |
| Authors |
Jing Xie, Fei Yu, Dan Li, Xuchao Zhu, Xiaoping Zhang, Zhongwei Lv |
| Abstract |
Downregulation of microRNA-218 (miR-218) is found in various human cancers, including non-small cell lung cancer (NSCLC). However, the involvement of chemosensitivity to cisplatin (DDP) and the underlying molecular mechanism remain unclear. In this study, we investigate whether miR-218 mediates NSCLC cell functions associated with chemoresistance. Quantitative real-time polymerase chain reaction (qRT-PCR) was utilized to detect miR-218 expression in NSCLC cell lines A549/DDP and/or A549. The cell activity was measured by MTT assay. Cell cycle and cell apoptosis were detected by flow cytometry. Luciferase reporter assays and Western blots were used to validate runt-related transcription factor 2 (RUNX2) as a direct target gene of miR-218. miR-218 was significantly reduced in A549/DDP cells compared with parent A549 cells. Upregulation of miR-218 altered cell cycle-induced cell apoptosis and enhanced the sensitivity of A549/DDP cells to cisplatin. Mechanistically, RUNX2 was identified as a direct and functional target of miR-218, and RUNX2 executed the former on lung cancer chemoresistance. Our present study demonstrated for the first time that downregulation of miR-218 may contribute to the chemoresistance of NSCLC cells to cisplatin, which leads to upregulation of RUNX2. Uncovering the mechanism represents a novel approach to enhance the efficacy of chemotherapy during cancer treatment. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 22% |
| Student > Ph. D. Student | 5 | 22% |
| Student > Bachelor | 3 | 13% |
| Student > Doctoral Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 26% |
| Medicine and Dentistry | 6 | 26% |
| Agricultural and Biological Sciences | 3 | 13% |
| Unspecified | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 3 | 13% |
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 20 August 2015.
All research outputs
#20,288,585
of 22,824,164 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#223,229
of 266,186 outputs
Outputs of similar age from Tumor Biology
#127
of 194 outputs
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