| Title |
CircRNA_100782 regulates pancreatic carcinoma proliferation through the IL6-STAT3 pathway
|
|---|---|
| Published in |
OncoTargets and therapy, December 2017
|
| DOI | 10.2147/ott.s150678 |
| Pubmed ID | |
| Authors |
Genwen Chen, Yanting Shi, Yu Zhang, Jianyong Sun |
| Abstract |
Circular RNAs (circRNAs) are a novel class of noncoding RNAs that play an important role in cancer. However, the mechanisms by which circRNAs regulate gene expression in pancreatic ductal adenocarcinoma (PDAC) remain unclear. This study seeks to elucidate the role that circRNAs play in the proliferation of PDAC cells. On the basis of previous studies of circRNA expression profiles in PDAC, we found that the circRNA_100782 was markedly upregulated in PDAC tissue. Functional experiments revealed that circRNA_100782 down-regulation inhibited BxPC3 cell proliferation and colony formation. Loss-of-function studies showed that knockdown of circRNA_100782 inhibited cell proliferation by downregulating the microRNA-124 (miR-124) target genes interleukin-6 receptor (IL6R) and signal transducer and activator of transcription 3 (STAT3). Overexpression of miR-124 also inhibited BxPC3 cell proliferation by reducing the expression of IL6R and STAT3, which was consistent with the result of silencing circRNA_100782. In addition, luciferase assay revealed that miR-124 was a direct target of circRNA_100782. Silencing STAT3 inhibited BxPC3 cell proliferation and colony formation. Cell viability was reduced in BxPC3 cells treated with si-circRNA_100782 and miR-124 mimic, and this effect could be attenuated by activating STAT3. In vivo study validated that circRNA_100782 knockdown suppressed BxPC3 xenografts in nude mice. Taken together, these results suggest that circRNA_100782 regulates BxPC3 cell proliferation by acting as miR-124 sponge through the IL6-STAT3 pathway. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Researcher | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Other | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 8 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 26% |
| Medicine and Dentistry | 4 | 21% |
| Environmental Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Neuroscience | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 7 | 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 20 December 2017.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,597
of 3,016 outputs
Outputs of similar age
#338,762
of 444,941 outputs
Outputs of similar age from OncoTargets and therapy
#44
of 73 outputs
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