| Title |
Genetic polymorphisms in the TERT gene and susceptibility to non-small cell lung cancer in a Chinese Han population
|
|---|---|
| Published in |
Cancer Management and Research, June 2018
|
| DOI | 10.2147/cmar.s166235 |
| Pubmed ID | |
| Authors |
Chuanyin Li, Xiaona Wang, Yingfu Li, Xinwen Zhang, Mingbo Sun, Shuyuan Liu, Le Sun, Li Shi, Yufeng Yao |
| Abstract |
Recent studies have revealed that the TERT gene plays crucial roles in cancer initiation and development. Genome-wide analysis studies and case-control studies have demonstrated that polymorphisms in the TERT gene are associated with various cancers. In the current study, we analyzed the associations of eight single nucleotide polymorphisms (SNPs) in the TERT gene with non-small cell lung cancer (NSCLC) in a Chinese Han population. A total of 467 NSCLC patients and 526 healthy individuals were recruited for SNP genotyping using a TaqMan assay. Our results revealed that the allelic frequencies of rs2853677 and rs2853691 were significantly different between the NSCLC and control groups (P=0.004 and 0.001, respectively). Moreover, the T allele of rs2853677 and the A allele of rs2853691 might be the protective factors against NSCLC (OR=0.766; 95%CI: 0.639-0.918 and OR=0.714; 95%CI: 0.584-0.875, respectively). Additionally, stratified association analysis of the eight SNPs with the different pathological NSCLC stages (I+II and III+IV) and different pathological types (adenocarcinoma and squamous cell carcinoma) revealed that none of the SNPs were significantly different between patients with different pathological stages and pathological types. Our results indicated that rs2853677 and rs2853691 in the TERT gene might be associated with NSCLC in this Chinese Han population. |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 20% |
| Professor | 1 | 20% |
| Student > Bachelor | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Computer Science | 1 | 20% |
| Psychology | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 1 | 20% |
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 12 June 2018.
All research outputs
#20,522,137
of 23,090,520 outputs
Outputs from Cancer Management and Research
#1,405
of 2,017 outputs
Outputs of similar age
#289,755
of 330,320 outputs
Outputs of similar age from Cancer Management and Research
#58
of 72 outputs
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