| Title |
Single nucleotide polymorphisms of microRNA processing genes and outcome of non-Hodgkin’s lymphoma
|
|---|---|
| Published in |
OncoTargets and therapy, July 2015
|
| DOI | 10.2147/ott.s86338 |
| Pubmed ID | |
| Authors |
Yuhuan Gao, Lanping Diao, Huan Li, Zhanjun Guo |
| Abstract |
microRNA (miRNA)-related single nucleotide polymorphisms (miR-SNPs) in miRNA-processing machinery genes can affect cancer risk, treatment efficacy, and patients' prognosis by mediating the expression of targeted genes. Five miR-SNPs in miRNA processing machinery genes, including XPO5 (rs11077), RAN (rs14035), TNRC6B (rs9623117), GEMIN3 (rs197412), and GEMIN4 (rs2740348), in 168 non-Hodgkin's lymphoma (NHL) patients were evaluated for their association with the cancer risk and outcomes associated with NHL. miR-SNPs were genotyped using polymerase chain reaction-ligase detection reaction. The 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. Among the five SNPs, only rs197412 located in the coding region of the GEMIN3 gene was identified; it was independently associated with overall survival in NHL patients, as determined by multivariate analysis (relative risk: 1.649; 95% confidence interval: 1.110-2.449; P=0.013). The prognostic value of this miR-SNP in patient outcomes was also observed in the diffuse large B-cell lymphoma and T-cell lymphoma NHL subtypes. Our results suggested that the specific genetic variants observed in the miRNA machinery genes may affect NHL survival. |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Researcher | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 56% |
| Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 18 July 2016.
All research outputs
#8,262,107
of 25,373,627 outputs
Outputs from OncoTargets and therapy
#487
of 3,016 outputs
Outputs of similar age
#90,809
of 277,610 outputs
Outputs of similar age from OncoTargets and therapy
#15
of 81 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,016 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 82% of its peers.
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We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.