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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Associations between estrogen receptor genetic polymorphisms, smoking status, and prostate cancer risk: a case–control study in Japanese men
|
|---|---|
| Published in |
Environmental Health and Preventive Medicine, August 2015
|
| DOI | 10.1007/s12199-015-0471-5 |
| Pubmed ID | |
| Authors |
Xi Lu, Yuko Yamano, Hiroyuki Takahashi, Masahide Koda, Yuki Fujiwara, Aya Hisada, Wataru Miyazaki, Takahiko Katoh |
| Abstract |
Prostate cancer (PCa) is one of the major causes of death among men. Our study investigated the association of ESR1 and ESR2 genotypes with susceptibility to PCa in relation to smoking status in Japanese. A case-control study was performed with 750 Japanese prostate cancer patients and 870 healthy controls. After age-matching in case-controls, 352 controls and 352 cases were enrolled in this study. By using logistic regression analysis, the different genotypes from ESR1 and ESR2 were analyzed according to case/control status. ESR2 rs4986938 AG and AG + AA genotypes were associated with significantly decreased risk of PCa (AG: OR = 0.68, 95 % CI 0.47-0.97, P < 0.05 and AG + AA: OR = 0.67, 95 % CI 0.47-0.94, P < 0.05). However, there was no significant association between ESR1 rs2234693 and PCa risk. When patients were grouped according to smoking status, the ESR2 rs1256049 AA genotype (OR = 0.48, 95 % CI 0.25-0.95, P < 0.05) and ESR2 rs4986938 AG + AA genotype (OR = 0.64, 95 % CI 0.41-1.00, P < 0.05) showed significantly decreased PCa risk in the ever-smoker group. Our results suggest that the estrogen receptor ESR2 has a very important function to predict PCa and that different SNPs have different predictive values. Smoking may influence estrogenic activity and may influence PCa together with the estrogen receptor. |
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 % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 30% |
| Student > Master | 3 | 30% |
| Student > Bachelor | 1 | 10% |
| Professor | 1 | 10% |
| Researcher | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 30% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Computer Science | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 2 | 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 18 August 2015.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from Environmental Health and Preventive Medicine
#376
of 499 outputs
Outputs of similar age
#191,299
of 265,124 outputs
Outputs of similar age from Environmental Health and Preventive Medicine
#2
of 4 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 499 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,124 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.