| Title |
Association between promoter polymorphisms of matrix metalloproteinase-1 and risk of gastric cancer
|
|---|---|
| Published in |
OncoTargets and therapy, September 2015
|
| DOI | 10.2147/ott.s83004 |
| Pubmed ID | |
| Authors |
Yong Xu, Qisong Peng |
| Abstract |
Growing evidences show that matrix metalloproteinase-1 (MMP1) plays important roles in tumorigenesis and cancer metastasis. The interactions between MMP1-1607 1G>2G polymorphism and risk of gastric cancer (GC) have been reported, but results remained ambiguous. To determine the association between MMP1-1607 1G>2G polymorphism and risk of GC, we conducted a meta-analysis and identified the outcome data from all the research papers estimating the association between MMP1-1607 1G>2G polymorphism and GC risk, which was based on comprehensive searches using databases such as PubMed, Elsevier Science Direct, Excerpta Medica Database (EMBASE), and Chinese National Knowledge Infrastructure (CNKI). The fixed-effects model was used in this meta-analysis. Data were extracted, and pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. In this meta-analysis, six studies involving 1,377 cases and 1,543 controls were included. We identified the significant association between MMP1-1607 1G>2G polymorphism and GC risk for allele model (OR =1.05; 95% CI, 1.01-1.08), for dominant model (OR =1.11; 95% CI, 1.08-1.15), and for recessive model (OR =1.06; 95% CI, 0.98-1.14). In summary, our analysis demonstrated that MMP1-1607 1G>2G polymorphism was significantly associated with an increased risk of GC. |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 33% |
| Lecturer | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Student > Master | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 44% |
| Biochemistry, Genetics and Molecular Biology | 3 | 33% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 1 | 11% |
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 14 September 2015.
All research outputs
#15,346,908
of 22,828,180 outputs
Outputs from OncoTargets and therapy
#1,027
of 2,933 outputs
Outputs of similar age
#156,589
of 266,861 outputs
Outputs of similar age from OncoTargets and therapy
#31
of 100 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,933 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 54% of its peers.
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We're also able to compare this research output to 100 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 55% of its contemporaries.