| Title |
rs712 polymorphism within let-7 microRNA-binding site might be involved in the initiation and progression of colorectal cancer in Chinese population
|
|---|---|
| Published in |
OncoTargets and therapy, October 2015
|
| DOI | 10.2147/ott.s89746 |
| Pubmed ID | |
| Authors |
Qiang-Hua Jiang, Hong-Xin Peng, Yi Zhang, Peng Tian, Zu-Lian Xi, Hao Chen |
| Abstract |
rs712 within 3'-untranslated region of KRAS can affect the specific binding between the mRNA and its targeted microRNAs, leading to the activation of KRAS oncogene. However, the possible association between the locus and susceptibility to colorectal cancer (CRC) remains unclear. We investigated genotypes of the locus in 586 cases and 476 controls to explore the possible association between them. Results of our case-control study showed that genotypes TT (6.5% vs 2.5%, P=0.002, adjusted odds ratio [OR] =2.810, 95% confidence interval [CI] =1.342-5.488) and GT/TT (36.5% vs 30.5%, P=0.038, adjusted OR =1.342, 95% CI =1.030-1.712) and allele T (21.5% vs 6.5%, P=0.004, adjusted OR =1.328, 95% CI =1.105-1.722) of rs712 were significantly associated with an increased risk of CRC, and the significant association was also observed in the recessive model (TT vs GG/GT, 6.5% vs 2.5%, P=0.003, adjusted OR =0.372, 95% CI =0.191-0.725). However, there was no association between genotype GT and risk of CRC (30.0% vs 28.0%, P=0.235, adjusted OR =1.210, 95% CI =0.903-1.548). Furthermore, genotype GT (P=0.003) and allele T (P=0.003) were significantly associated with poor differentiation, and genotypes GT and TT and allele T were significantly associated with tumor-node-metastases stage III (P=0.001 for GT vs GG, P<0.001 for TT vs GG, and P<0.001 for T vs G) and node metastasis (P<0.001 for GT vs GG, P=0.001 for TT vs GG, and P<0.001 for T vs G), respectively. These findings indicated that allele T and genotypes TT and GT/TT of rs712 might be susceptible factors for CRC, and mutated allele and genotypes of the locus might predict a poor clinical outcome in Chinese population. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 27% |
| Student > Master | 2 | 18% |
| Researcher | 2 | 18% |
| Student > Ph. D. Student | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 45% |
| Agricultural and Biological Sciences | 2 | 18% |
| Medicine and Dentistry | 2 | 18% |
| Unknown | 2 | 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 07 November 2015.
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#20,657,128
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Outputs from OncoTargets and therapy
#1,597
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#210,057
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Outputs of similar age from OncoTargets and therapy
#52
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