| Title |
MicroRNA-101 polymorphisms and risk of head and neck squamous cell carcinoma in a Chinese population
|
|---|---|
| Published in |
Tumor Biology, October 2015
|
| DOI | 10.1007/s13277-015-4249-6 |
| Pubmed ID | |
| Authors |
Limin Miao, Lihua Wang, Hua Yuan, Dong Hang, Longbiao Zhu, Jiangbo Du, Xun Zhu, Bing Li, Ruixia Wang, Hongxia Ma, Ning Chen |
| Abstract |
MicroRNAs (miRNAs) play important roles in regulation of gene expressions and likely have involvement in cancer susceptibility and disease progression. MicroRNA-101 (miR-101) has been well established as a tumor suppressor, and aberrant expression of miR-101 levels has been previously reported in different malignancies including head and neck squamous cell carcinoma (HNSCC). However, the role of single nucleotide polymorphisms (SNPs) of miR-101 in the susceptibility to HNSCC remains unclear. In this study, we genotyped 11 selected SNPs of the miR-101 genes (including miR-101-1 and miR-101-2) in a case-control study including 576 HNSCC cases and 1552 cancer-free controls. For the main effect analysis, none of the 11 selected SNPs was associated with HNSCC risk. However, in the stratification analysis by tumor sites, rs578481 and rs705509 in pri-miR-101-1 were significantly associated with risk of oral squamous cell carcinoma (OSCC) (rs578481: adjusted odds ratio (OR) = 1.19, 95 % confidence interval (CI) 1.01-1.39, P = 0.036; rs705509: adjusted OR = 0.85, 95 % CI 0.73-0.98, P = 0.030). Furthermore, combined analysis of the two SNPs revealed that subjects carrying the risk alleles of rs578481 and rs705509 had increased risk of OSCC in a dose-response manner (P trend = 0.022). Compared with subjects carrying "0-2" risk alleles, subjects carrying "3-4" risk alleles presented a 1.38-fold increased risk of OSCC. In conclusion, our findings suggested that the SNPs rs578481 and rs705509 locating in pri-miR-101-1 may play a role in genetic susceptibility to OSCC, which may improve our understanding of the potential contribution of miRNA SNPs to cancer pathogenesis. |
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 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 % |
|---|---|---|
| Researcher | 4 | 21% |
| Student > Ph. D. Student | 3 | 16% |
| Professor > Associate Professor | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 42% |
| Biochemistry, Genetics and Molecular Biology | 4 | 21% |
| Agricultural and Biological Sciences | 2 | 11% |
| Unknown | 5 | 26% |
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 23 October 2015.
All research outputs
#20,294,248
of 22,830,751 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#237,529
of 283,279 outputs
Outputs of similar age from Tumor Biology
#183
of 281 outputs
Altmetric has tracked 22,830,751 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 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. 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 283,279 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 281 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.