| Title |
Curcumin suppresses cisplatin resistance development partly via modulating extracellular vesicle-mediated transfer of MEG3 and miR-214 in ovarian cancer
|
|---|---|
| Published in |
Cancer Chemotherapy and Pharmacology, February 2017
|
| DOI | 10.1007/s00280-017-3238-4 |
| Pubmed ID | |
| Authors |
Jing Zhang, Jinyu Liu, Xinyan Xu, Li Li |
| Abstract |
To investigate how curcumin alters the extracellular vesicles' (EVs) capability to ship drug resistance in ovarian cancer. The EVs from cisplatin-resistant A2780cp cells with curcumin treatment (EVs-CU) or without curcumin treatment (EVs-N) were collected for lncRNA profiling. Curcumin's effect on MEG3 promoter methylation and MEG3 expression were studied by MSP and qRT-PCR, respectively. The regulative effect of MEG3 on miR-214 expression and the functional role of EVs mediated transfer of miR-214 in cisplatin resistance were further investigated. Curcumin weakened the EVs-N's capability to induce drug resistance and induced significant changes of lncRNAs in the EVs. MEG3 is one of the most upregulated lncRNAs. Curcumin led to demethylation in the promoter region of MEG3 and 5-AZA-dC treatment restored MEG3 expression in a dose dependent manner. There were at least two binding sites between MEG3 and miR-214. MEG3 restoration by curcumin significantly reduced miR-214 in cells and in EVs. Functionally, miR-214 inhibition weakened the EVs-N's capability to enhance chemoresistance, while miR-214 overexpression increased the capability of EVs-CU in inducing chemoresistance. Curcumin can restore MEG3 levels via demethylation. MEG3 upregulation can decrease EVs mediated transfer of miR-214 in ovarian cancer cells, thereby reducing drug resistance. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Canada | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 25% |
| Student > Master | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Researcher | 3 | 5% |
| Lecturer | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 20 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 31% |
| Medicine and Dentistry | 8 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Neuroscience | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 21 | 36% |
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 14 June 2017.
All research outputs
#16,049,105
of 23,815,455 outputs
Outputs from Cancer Chemotherapy and Pharmacology
#1,859
of 2,501 outputs
Outputs of similar age
#260,580
of 424,097 outputs
Outputs of similar age from Cancer Chemotherapy and Pharmacology
#16
of 26 outputs
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