| Title |
Long noncoding RNAs POLR2E rs3787016 C/T and HULC rs7763881 A/C polymorphisms are associated with decreased risk of esophageal cancer
|
|---|---|
| Published in |
Tumor Biology, March 2015
|
| DOI | 10.1007/s13277-015-3328-z |
| Pubmed ID | |
| Authors |
Mingqiang Kang, Yonghua Sang, Haiyong Gu, Liang Zheng, Liming Wang, Chao Liu, Yijun Shi, Aizhong Shao, Guowen Ding, Suocheng Chen, Weifeng Tang, Jun Yin |
| Abstract |
Worldwide, rates of esophageal cancer have been keeping highly in recent decades. Genetic variants in multiple cellular pathways might play an important role in altering risk of esophageal carcinoma. In this study, long noncoding RNAs (lncRNAs) functional single nucleotide polymorphisms (SNPs) were investigated in Chinese Han populations. We have genotyped the ANRIL rs2151280 T/C, POLR2E rs3787016 C/T, and HULC rs7763881 A/C SNPs in 380 esophageal squamous cell carcinoma (ESCC) cases and 380 cancer-free controls. POLR2E rs3787016 C/T was associated with a significantly decreased risk for ESCC (CT vs. CC: OR 0.62, 95 % CI 0.44-0.87, P = 0.005; adjusted OR 0.62, 95 % CI 0.44-0.87, P = 0.005). The other SNP, HULC rs7763881, also showed a suggestive association (AC vs. AA: OR 0.70, 95 % CI 0.50-0.98, P = 0.037; adjusted OR 0.69, 95 % CI 0.49-0.97, P = 0.031). ANRIL rs2151280 T/C SNP was not associated with risk of ESCC. In the future, larger studies with other ethnic populations, tissue-specific biological characterization, and detailed individual information should be undertaken to validate current findings. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 33% |
| Student > Bachelor | 3 | 20% |
| Student > Ph. D. Student | 3 | 20% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 40% |
| Biochemistry, Genetics and Molecular Biology | 4 | 27% |
| Medicine and Dentistry | 2 | 13% |
| Economics, Econometrics and Finance | 1 | 7% |
| Neuroscience | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 1 | 7% |
Attention Score in Context
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#18,430,915
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#1,369
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Outputs of similar age from Tumor Biology
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