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Association between microRNA Polymorphisms and Cancer Risk Based on the Findings of 66 Case-Control Studies

Overview of attention for article published in PLOS ONE, November 2013
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Title
Association between microRNA Polymorphisms and Cancer Risk Based on the Findings of 66 Case-Control Studies
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0079584
Pubmed ID
Authors

Xiao Pin Ma, Ting Zhang, Bo Peng, Long Yu, De Ke Jiang

Abstract

MicroRNAs (miRNAs) are small non-coding RNA molecules, which participate in diverse biological processes and may regulate tumor suppressor genes or oncogenes. Single nucleotide polymorphisms (SNPs) in miRNA may contribute to diverse functional consequences, including cancer development, by altering miRNA expression. Numerous studies have shown the association between miRNA SNPs and cancer risk; however, the results are generally debatable and inconclusive, mainly due to limited statistical power. To assess the relationship between the five most common SNPs (miR-146a rs2910164, miR-196a2 rs11614913, miR-499 rs3746444, miR-149 rs2292832, and miR-27a rs895919) and the risk cancer development, we performed a meta-analysis of 66 published case-control studies. Crude odds ratios at 95% confidence intervals were used to investigate the strength of the association. No association was observed between rs2910164 and cancer risk in the overall group. However, in stratified analysis, we found that either the rs2910164 C allele or the CC genotype was protective against bladder cancer, prostate cancer, cervical cancer, and colorectal cancer, whereas it was a risk factor for papillary thyroid carcinoma and squamous cell carcinoma of the head and neck (SCCHN). Further, rs11614913 was found to be significantly associated with decreased cancer risk, in particular, for bladder cancer, gastric cancer, and SCCHN. For miR-499, a significant association was found between the rs3746444 polymorphism and cancer risk in pooled analysis. In subgroup analysis, similar results were mainly observed for breast cancer. Finally, no association was found between rs2292832 and rs895919 polymorphisms and cancer risk in the overall group and in stratified analysis. In summary, miR-196a2 rs11614913, miR-146a rs2910164, and miR-499 rs3746444 are risk factors for cancer development, whereas mir-149 rs2292832 and miR-27a rs895919 are not associated with cancer risk.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Researcher 9 16%
Student > Bachelor 6 10%
Student > Postgraduate 4 7%
Lecturer 3 5%
Other 11 19%
Unknown 13 22%
Readers by discipline Count As %
Medicine and Dentistry 13 22%
Agricultural and Biological Sciences 11 19%
Biochemistry, Genetics and Molecular Biology 8 14%
Immunology and Microbiology 2 3%
Nursing and Health Professions 2 3%
Other 7 12%
Unknown 15 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 December 2013.
All research outputs
#13,283,865
of 23,402,852 outputs
Outputs from PLOS ONE
#106,463
of 200,303 outputs
Outputs of similar age
#160,391
of 305,413 outputs
Outputs of similar age from PLOS ONE
#2,554
of 5,190 outputs
Altmetric has tracked 23,402,852 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 200,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 46th percentile – i.e., 46% 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 305,413 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,190 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 50% of its contemporaries.