| Title |
miR-181c contributes to cisplatin resistance in non-small cell lung cancer cells by targeting Wnt inhibition factor 1
|
|---|---|
| Published in |
Cancer Chemotherapy and Pharmacology, September 2017
|
| DOI | 10.1007/s00280-017-3435-1 |
| Pubmed ID | |
| Authors |
Haifeng Zhang, Baoli Hu, Zuopei Wang, Feng Zhang, Haitao Wei, Li Li |
| Abstract |
miRNAs are implicated in drug resistance of multiple cancers including non-small cell lung cancer (NSCLC), highlighting the potential of miRNAs as chemoresistance regulators in cancer treatment. This study aims to explore the relationship between miR-181c and chemoresistance of NSCLC cells. qRT-PCR was conducted to examine the expression of miR-181c in NSCLC tissues, and parental and cisplatin (DDP)-resistant NSCLC cells. MTT assay and flow cytometry were performed to detect the survival rate and apoptosis in NSCLC cells. Luciferase reporter assay was performed to confirm the potential target of miR-181c. Xenograft tumor experiment was applied to confirm the effect of miR-181c on DDP sensitivity of DDP-resistant NSCLC cells in vivo. miR-181c was upregulated in NSCLC tissues, and parental and DDP-resistant NSCLC cells. miR-181c downregulation or WIF1 overexpression increased DDP sensitivity of DDP-resistant NSCLC cells by decreasing survival rate and promoting DDP-induced apoptosis. miR-181c was demonstrated to be able to bind to WIF1 and negatively regulate the expression of WIF1. WIF1 knockdown abolished anti-miR-181c-induced DDP sensitivity. Moreover, anti-miR-181c suppressed the Wnt/β-catenin pathway by regulating WIF1. XAV939 treatment reversed miR-181c-induced increase in IC50 value and miR-181c-triggered decrease in apoptosis. Finally, anti-miR-181c improved DDP sensitivity of DDP-resistant NSCLC cells in vivo. miR-181c contributed to DDP resistance in NSCLC cells through activation of the Wnt/β-catenin pathway by targeting WIF1, providing a potential therapeutic application for the treatment of patients with DDP-resistant NSCLC in the future. |
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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 17% |
| Researcher | 2 | 11% |
| Student > Doctoral Student | 2 | 11% |
| Librarian | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Agricultural and Biological Sciences | 2 | 11% |
| Arts and Humanities | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 7 | 39% |
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 29 September 2017.
All research outputs
#21,164,509
of 23,815,455 outputs
Outputs from Cancer Chemotherapy and Pharmacology
#2,211
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Outputs of similar age
#281,964
of 322,140 outputs
Outputs of similar age from Cancer Chemotherapy and Pharmacology
#22
of 24 outputs
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