| Title |
CTLA4 tagging polymorphisms and risk of colorectal cancer: a case–control study involving 2,306 subjects
|
|---|---|
| Published in |
OncoTargets and therapy, August 2018
|
| DOI | 10.2147/ott.s173421 |
| Pubmed ID | |
| Authors |
Chen Zou, Hao Qiu, Weifeng Tang, Yafeng Wang, Bin Lan, Yu Chen |
| Abstract |
CTLA4 is a candidate gene which has been implicated in the development of colorectal cancer (CRC). To determine the important role of CTLA-4 polymorphisms on risk of CRC, we genotyped four CTLA-4 tagging polymorphisms and calculated crude/adjusted ORs with their 95% CIs. We recruited 1,003 sporadic CRC cases and 1,303 controls. The findings suggested that CTLA-4 rs231775 G>A polymorphism increased the risk of CRC (homozygote model: adjusted OR=1.40, 95% CI=1.05-1.87, P=0.022; dominant model: adjusted OR=1.19, 95% CI=1.00-1.41, P=0.047; and recessive model: adjusted OR=1.38, 95% CI=1.05-1.82, P=0.021). In a stratified analysis by site of tumor, this association was also found in colon cancer. We also found that CTLA-4 rs231775 GA/AA genotypes might be associated with an increased risk of CRC in Zhenjiang cohort. In addition, we found the CTLA-4 rs16840252 C>T polymorphism was associated with the risk of colon cancer. Haplotype comparison analysis showed that CTLA-4 Grs3087243Crs16840252Crs733618 Ars231775, Grs3087243Crs16840252Trs733618Ars231775, and other haplotypes increased the risk of CRC (P<0.001, <0.001, and 0.002, respectively). This study evidences an association of CTLA-4 tagging polymorphisms and haplotypes with CRC risk. Additional well-designed studies with large sample sizes are required to confirm our findings. |
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 % |
|---|---|---|
| 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 23% |
| Student > Bachelor | 2 | 15% |
| Student > Ph. D. Student | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Unspecified | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 15% |
| Unspecified | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 6 | 46% |
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 August 2018.
All research outputs
#17,292,294
of 25,385,509 outputs
Outputs from OncoTargets and therapy
#1,147
of 3,016 outputs
Outputs of similar age
#220,369
of 341,886 outputs
Outputs of similar age from OncoTargets and therapy
#46
of 114 outputs
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We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.