| Title |
Association of single nucleotide polymorphisms of nucleotide excision repair genes with laryngeal cancer risk and interaction with cigarette smoking and alcohol drinking
|
|---|---|
| Published in |
Tumor Biology, February 2014
|
| DOI | 10.1007/s13277-014-1610-0 |
| Pubmed ID | |
| Authors |
Xiaoyu Li, Jing Xu, Xinxin Yang, Yungang Wu, Baohua Cheng, Dongfeng Chen, Bo Bai |
| Abstract |
We investigated the potential association of 12 single nucleotide polymorphisms (SNPs) of nucleotide excision repair (NER) genes with risk of laryngeal cancer. A ratio of 1:1 matched case-control study was conducted. Conditional regression analysis indicated that subjects with ERCC1 rs11615 CC and C allele had an increased risk of laryngeal cancer compared with the TT genotype. Individuals with the ERCC5 rs17655 GG and G allele had a moderately increased risk of laryngeal cancer when compared with the CC genotype. By stratified analysis, ERCC1 rs11615 CC genotype and C allele were significantly associated with greatly increased risk of laryngeal cancer in ever smokers. ERCC1 rs11615 and ERCC5 rs17655 polymorphisms were associated with a moderately increased risk of this cancer in ever drinkers. In summary, we suggest that genetic variations in ERCC1 rs11615 and ERCC5 rs17655 are associated with laryngeal cancer risk in a Chinese population, especially in ever smokers and drinkers. Our finding could be helpful in identifying people at high risk for the disease for early intervention. |
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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 18% |
| Researcher | 4 | 18% |
| Student > Doctoral Student | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 4 | 18% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 41% |
| Agricultural and Biological Sciences | 3 | 14% |
| Psychology | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 18% |
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 25 June 2014.
All research outputs
#20,231,820
of 22,757,541 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#193,391
of 224,815 outputs
Outputs of similar age from Tumor Biology
#37
of 52 outputs
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