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Association of glutathione S-transferase (GSTM1 and GSTT1) genes with chronic myeloid leukemia

Overview of attention for article published in SpringerPlus, May 2015
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Title
Association of glutathione S-transferase (GSTM1 and GSTT1) genes with chronic myeloid leukemia
Published in
SpringerPlus, May 2015
DOI 10.1186/s40064-015-0966-y
Pubmed ID
Authors

Yaya Kassogue, Hind Dehbi, Meryem Quachouh, Asma Quessar, Said Benchekroun, Sellama Nadifi

Abstract

Chronic myeloid leukemia (CML), as most of cancers results from a complex interaction between genetic or non genetic factors. Exposures to xenobiotics endogenous or exogenous associated with a reduced individual ability in detoxifying activity, constitutes a risk of developing cancer. It is known that polymorphism of glutathione S-transferases (GSTs) genes affects the detoxification of xenobiotics. Thus, we conducted a case-control study in which 92 patients (Mean age ± SD, 40.62 ± 12.7 years) with CML and 93 healthy unrelated controls (Mean age ± SD, 41.38 ± 13.4 years) have participated. GSTM1 and GSTT1 genotypes were determined by multiplex polymerase chain reaction. Logistic regression was used to assess the possible link between GSTM1 and GSTT1 null genotypes and CML as well as between combined genotypes and CML. GSTM1 null genotype frequency was slightly higher in patients than control (48.9% vs. 40.9%) but, it was not associated with CML (OR 95% CI, 1.4, 0.78-2.48; p = 0.271). Moreover, GSTT1 null genotype frequency showed a similar trend between patients and control (17.4% vs. 9.7%; OR 95% CI, 1.97, 0.82-4.71; p = 0.13). Surprisingly, GSTT1 null genotype was significantly associated with the risk of CML in males (OR 95% CI, 5, 1.25-20.1; p = 0.023). The combined GSTM1 present/GSTT1 null genotype was found to have a limited effect against the risk of CML (OR 95% CI, 0.3, 0.08-0.99; p = 0.049). Our findings have shown that GSTT1 null genotype might be a risk factor of CML in males. While, GSTT1 present genotype might be considered as protective against CML. However, further studies with a large sample size are needed to confirm our findings.

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Mendeley readers

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The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 21%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 3 13%
Professor 2 8%
Researcher 2 8%
Other 6 25%
Unknown 3 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 29%
Medicine and Dentistry 5 21%
Agricultural and Biological Sciences 4 17%
Business, Management and Accounting 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 4 17%
Attention Score in Context

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 24 May 2015.
All research outputs
#15,333,633
of 22,807,037 outputs
Outputs from SpringerPlus
#932
of 1,851 outputs
Outputs of similar age
#156,990
of 264,341 outputs
Outputs of similar age from SpringerPlus
#32
of 61 outputs
Altmetric has tracked 22,807,037 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 1,851 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.