| Title |
Single-nucleotide polymorphisms of microRNA processing machinery genes are associated with risk for gastric cancer
|
|---|---|
| Published in |
OncoTargets and therapy, March 2015
|
| DOI | 10.2147/ott.s79150 |
| Pubmed ID | |
| Authors |
Ying Xie, Yingnan Wang, Yuefei Zhao, Zhanjun Guo |
| Abstract |
Recent studies demonstrate that microRNA-related single-nucleotide polymorphisms (miR-SNPs) are associated with the development of numerous human cancers. In this study, we investigated six miR-SNPs in microRNA processing machinery genes, including rs11077 of the XPO5 gene, rs14035 of the RAN gene, rs3742330 of the Dicer gene, rs9623117 of the TNRC6B gene, rs197412 of the GEMIN3 gene, and rs2740348 of the GEMIN4 gene, in gastric cancer patients and subsequently evaluated their potential roles in gastric cancer risk in a case control study. The results indicate that the C/C genotype of rs14035 from RAN, the A/A genotype of rs3742330 from Dicer, and the T/T genotype of rs9623117 from TNRC6B are significantly associated with gastric cancer risk. In conclusion, these miR-SNPs can be used as predictive biomarkers in gastric cancer. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Student > Ph. D. Student | 3 | 21% |
| Student > Master | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 50% |
| Biochemistry, Genetics and Molecular Biology | 2 | 14% |
| Medicine and Dentistry | 2 | 14% |
| Neuroscience | 1 | 7% |
| Unknown | 2 | 14% |
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 19 March 2015.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from OncoTargets and therapy
#2,078
of 3,016 outputs
Outputs of similar age
#232,487
of 270,992 outputs
Outputs of similar age from OncoTargets and therapy
#20
of 26 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,016 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 270,992 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.