| Title |
A polymorphism at the microRNA binding site in the 3' untranslated region of RYR3 is associated with outcome in hepatocellular carcinoma
|
|---|---|
| Published in |
OncoTargets and therapy, August 2015
|
| DOI | 10.2147/ott.s85856 |
| Pubmed ID | |
| Authors |
Chenxing Peng, Zhanjun Guo, Xiaoyan Wu, Xiao-lan Zhang |
| Abstract |
MicroRNAs can bind to the 3' untranslated regions (UTRs) of messenger RNAs, where they interfere with the translation of targeting genes, thereby regulating cell differentiation, apoptosis, and tumorigenesis. In this study, three microRNA binding site single nucleotide polymorphisms (SNPs) located in the 3' UTR of RYR3 (rs1044129), C14orf101 (rs4901706), and KIAA0423 (rs1053667) were genotyped to assess their relationships with the risks and outcomes of hepatocellular carcinoma (HCC). The SNPs were genotyped with the ligation detection reaction method. Renilla luciferase reporter assays were used to measure the binding affinity between microRNA 367 and RYR3. Survival curves were calculated using the Kaplan-Meier method, and comparisons between the curves were made using the log-rank test. Multivariate survival analysis was performed using a Cox proportional hazards model. It was found that rs1044129 at the 3' UTR of RYR3 was related to postoperative survival in HCC, with the AA type associated with longer survival times as per the log-rank test. After adjusting with the Cox model, rs104419 was identified as an independent predictor of HCC survival (relative risk: 1.812; 95% confidence interval: 1.026-3.201; P=0.041). Luciferase analysis also indicated the different binding affinities between the SNPs of rs1044129 and microRNA 367. The SNP in the microRNA binding site of RYR3 can be used as a valuable biomarker when predicting HCC outcomes. |
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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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 50% |
| Researcher | 1 | 25% |
| Student > Master | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 25% |
| Agricultural and Biological Sciences | 1 | 25% |
| Psychology | 1 | 25% |
| Medicine and Dentistry | 1 | 25% |
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 27 August 2015.
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#22,759,452
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#2,078
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Outputs of similar age from OncoTargets and therapy
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