| Title |
Cisplatin-resistant lung cancer cell–derived exosomes increase cisplatin resistance of recipient cells in exosomal miR-100–5p-dependent manner
|
|---|---|
| Published in |
International Journal of Nanomedicine, May 2017
|
| DOI | 10.2147/ijn.s131516 |
| Pubmed ID | |
| Authors |
Xiaobing Qin, Shaorong Yu, Leilei Zhou, Meiqi Shi, Yong Hu, Xiaoyue Xu, Bo Shen, Siwen Liu, Dali Yan, Jifeng Feng |
| Abstract |
Exosomes derived from lung cancer cells confer cisplatin (DDP) resistance to other cancer cells. However, the underlying mechanism is still unknown. A549 resistance to DDP (A549/DDP) was established. Microarray was used to analyze microRNA (miRNA) expression profiles of A549 cells, A549/DDP cells, A549 exosomes, and A549/DDP exosomes. There was a strong correlation of miRNA profiles between exosomes and their maternal cells. A total of 11 miRNAs were significantly upregulated both in A549/DDP cells compared with A549 cells and in exosomes derived from A549/DDP cells in contrast to exosomes from A549 cells. A total of 31 downregulated miRNAs were also observed. miR-100-5p was the most prominent decreased miRNA in DDP-resistant exosomes compared with the corresponding sensitive ones. Downregulated miR-100-5p was proved to be involved in DDP resistance in A549 cells, and mammalian target of rapamycin (mTOR) expression was reverse regulated by miR-100-5p. Exosomes confer recipient cells' resistance to DDP in an exosomal miR-100-5p-dependent manner with mTOR as its potential target both in vitro and in vivo. Exosomes from DDP-resistant lung cancer cells A549 can alter other lung cancer cells' sensitivity to DDP in exosomal miR-100-5p-dependent manner. Our study provides new insights into the molecular mechanism of DDP resistance in lung cancer. |
X Demographics
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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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 18% |
| Student > Master | 18 | 16% |
| Student > Bachelor | 14 | 12% |
| Researcher | 9 | 8% |
| Student > Doctoral Student | 7 | 6% |
| Other | 11 | 10% |
| Unknown | 35 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 25% |
| Medicine and Dentistry | 16 | 14% |
| Agricultural and Biological Sciences | 11 | 10% |
| Immunology and Microbiology | 5 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 43 | 37% |
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 30 May 2017.
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#22,764,772
of 25,382,440 outputs
Outputs from International Journal of Nanomedicine
#3,598
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#284,174
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Outputs of similar age from International Journal of Nanomedicine
#60
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