| Title |
YAP induces cisplatin resistance through activation of autophagy in human ovarian carcinoma cells
|
|---|---|
| Published in |
OncoTargets and therapy, March 2016
|
| DOI | 10.2147/ott.s102837 |
| Pubmed ID | |
| Authors |
Lan Xiao, Xiao-Yan Shi, Ying Zhang, Ying Zhu, Lin Zhu, Wang Tian, Bing-Kun Zhu, Zhao-Lian Wei |
| Abstract |
To identify the role of YAP in cisplatin resistance in human ovarian cancer cells and in the regulation of autophagy in these cancer cells. The cisplatin-sensitive OV2008 parental cell line and its cisplatin-resistant variant C13K were cultured. RNA interference was used to knock down the YAP gene. Accumulation of GFP-LC3 puncta was performed by fluorescence microscopy. The formation of autophagosomes was observed by transmission electron microscopy. Drug sensitivity was examined using CCK-8 assay, while apoptosis, the level of intracellular rhodamine 123 and lysosomal acidification were analyzed by fluorescence-activated cell sorting. Acid phosphatase activity was measured using an acid phosphatase-assay kit. Real-time polymerase chain reaction, Western blotting, and immunofluorescence detection were used to detect the protein and messenger RNA expression of YAP, YAP target genes, CCND1, cleaved PARP, and caspase 3, Atg-3 and -5, and the LC3B protein. YAP signaling may regulate cisplatin resistance in ovarian cancer cells by augmenting cellular autophagic flux. After knockdown of YAP-sensitized C13K cells to cisplatin by inducing a decrease in autophagy, YAP led to an increase in autophagy via enhancement of autolysosome degradation. YAP-mediated autophagy may play a protective role in cisplatin-resistant human ovarian cancer cells. Therefore, YAP-mediated autophagy should be explored as a new target for enhancing the efficacy of cisplatin against ovarian cancer and other types of malignancies. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 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 % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 3 | 13% |
| Other | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Researcher | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 30% |
| Agricultural and Biological Sciences | 3 | 13% |
| Medicine and Dentistry | 2 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |
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 April 2016.
All research outputs
#19,962,154
of 25,394,764 outputs
Outputs from OncoTargets and therapy
#1,449
of 3,016 outputs
Outputs of similar age
#216,373
of 312,692 outputs
Outputs of similar age from OncoTargets and therapy
#55
of 108 outputs
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