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Association of Polymorphisms in Oxidative Stress Genes with Clinical Outcomes for Bladder Cancer Treated with Bacillus Calmette-Guérin

Overview of attention for article published in PLOS ONE, June 2012
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Title
Association of Polymorphisms in Oxidative Stress Genes with Clinical Outcomes for Bladder Cancer Treated with Bacillus Calmette-Guérin
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0038533
Pubmed ID
Authors

Hua Wei, Ashish Kamat, Meng Chen, Hung-Lung Ke, David W. Chang, Jikai Yin, H. Barton Grossman, Colin P. Dinney, Xifeng Wu

Abstract

Genetic polymorphisms in oxidative stress pathway genes may contribute to carcinogenesis, disease recurrence, treatment response, and clinical outcomes. We applied a pathway-based approach to determine the effects of multiple single nucleotide polymorphisms (SNPs) within this pathway on clinical outcomes in non-muscle-invasive bladder cancer (NMIBC) patients treated with Bacillus Calmette-Guérin (BCG). We genotyped 276 SNPs in 38 genes and evaluated their associations with clinical outcomes in 421 NMIBC patients. Twenty-eight SNPs were associated with recurrence in the BCG-treated group (P<0.05). Six SNPs, including five in NEIL2 gene from the overall and BCG group remained significantly associated with recurrence after multiple comparison adjustments (q<0.1). Cumulative unfavorable genotype analysis showed that the risk of recurrence increased with increasing number of unfavorable genotypes. In the analysis of risk factors associated with progression to disease, rs3890995 in UNG, remained significant after adjustment for multiple comparison (q<0.1). These results support the hypothesis that genetic variations in host oxidative stress genes in NMIBC patients may affect response to therapy with BCG.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 23%
Student > Ph. D. Student 3 12%
Lecturer 2 8%
Student > Doctoral Student 2 8%
Professor > Associate Professor 2 8%
Other 5 19%
Unknown 6 23%
Readers by discipline Count As %
Medicine and Dentistry 7 27%
Agricultural and Biological Sciences 5 19%
Biochemistry, Genetics and Molecular Biology 4 15%
Nursing and Health Professions 1 4%
Psychology 1 4%
Other 3 12%
Unknown 5 19%
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 12 June 2012.
All research outputs
#20,159,700
of 22,668,244 outputs
Outputs from PLOS ONE
#172,672
of 193,511 outputs
Outputs of similar age
#151,149
of 167,155 outputs
Outputs of similar age from PLOS ONE
#3,524
of 3,847 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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