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LTA + 252A > G polymorphism is associated with risk of nasal NK/T-cell lymphoma in a Chinese population: a case-control study

Overview of attention for article published in BMC Cancer, June 2015
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Title
LTA + 252A > G polymorphism is associated with risk of nasal NK/T-cell lymphoma in a Chinese population: a case-control study
Published in
BMC Cancer, June 2015
DOI 10.1186/s12885-015-1506-4
Pubmed ID
Authors

Sensen Cheng, Jianzhong Li, Wenjian Liu, Chengxiang Liu, Lei Su, Xiuchun Liu, Liangjun Guo, Yuan Ma, Bao Song, Jie Liu

Abstract

Nasal NK/T-cell lymphoma is a rare type of lymphoma in Caucasian individuals, but is relatively common in Asian populations. Genetic variants in immune and inflammatory response genes may thus be associated with the risk of developing lymphoma. Here, we investigated the association between immuno-modulatory gene polymorphisms and risk for nasal NK/T-cell lymphoma in a Chinese population. Analysis of 12 single nucleotide polymorphisms (SNPs) in IL-10, TNF-α, lymphotoxin-α (LTA), and CTLA-4 genes was performed for 125 patients with NK/T-cell lymphoma and 300 healthy controls by PCR-ligase detection reactions. The LTA +252 GA + AA genotypes were associated with increased risk for NK/T-cell lymphoma (OR = 2.96, 95%CI = 1.42-6.19, P = 0.004 for GA + AA genotype). Haplotype C-G-G-A (TNF-α -857, -308, -238 and LTA +252) also conferred an increased risk (OR = 1.52, 95 % CI = 1.14-2.06, P = 0.005). Additionally, the LTA +252 GA + AA genotype was associated with an even higher risk in populations positive for Epstein-Barr virus (OR = 5.20, 95 % CI = 1.22-23.41, P = 0.03 for the GA + AA genotype). Our data suggest that the LTA +252 A > G polymorphism is associated with the risk of developing NK/T-cell lymphoma, especially for Epstein-Barr virus-positive NK/T-cell lymphoma in the Chinese population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 33%
Professor > Associate Professor 1 17%
Unknown 3 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 17%
Immunology and Microbiology 1 17%
Medicine and Dentistry 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 June 2015.
All research outputs
#15,330,390
of 23,577,654 outputs
Outputs from BMC Cancer
#3,783
of 8,530 outputs
Outputs of similar age
#146,977
of 265,184 outputs
Outputs of similar age from BMC Cancer
#91
of 170 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,530 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 265,184 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.