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The relationship between LAPTM4B polymorphisms and cancer risk in Chinese Han population: a meta-analysis

Overview of attention for article published in SpringerPlus, April 2015
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Title
The relationship between LAPTM4B polymorphisms and cancer risk in Chinese Han population: a meta-analysis
Published in
SpringerPlus, April 2015
DOI 10.1186/s40064-015-0941-7
Pubmed ID
Authors

Ling-Zi Xia, Zhi-Hua Yin, Yang-Wu Ren, Li Shen, Wei Wu, Xue-Lian Li, Peng Guan, Bao-Sen Zhou

Abstract

LAPTM4B is a newly cloned gene that shows an active role in many solid tumors progression in substantial researches, mainly through the autophage function. Accumulated studies have been conducted to determine the association of LAPTM4B polymorphism with cancer risk. While the results are inconsistent, we conducted the meta-analysis to determine the strength of the relationship. Results showed that allele*2 carriers exhibited a significantly increased risk of cancer development with comparison to allele*1 homozygote (for *1/2, OR = 1.55, 95% CI 1.367-1.758; for *2/2, OR = 2.093, 95%CI 1.666-2.629; for *1/2 + *2/2, OR = 1.806, 95%CI 1.527-2.137). We also observed a significant association between *2/2 homozygote and cancer risk with comparison to allele*1 containing genotypes (OR = 1.714, 95%CI 1.408-2.088). Allele*2 is a risk factor for cancer risk (OR = 1.487, 95%CI 1.339-1.651). Stratified analysis by tumor type exhibits the significant association of this genetic variants with various cancers. In conclusion, LAPTM4B polymorphism is associated with cancer risk and allele*2 is a risk factor.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 17%
Professor > Associate Professor 2 17%
Unspecified 1 8%
Student > Bachelor 1 8%
Lecturer 1 8%
Other 2 17%
Unknown 3 25%
Readers by discipline Count As %
Medicine and Dentistry 3 25%
Biochemistry, Genetics and Molecular Biology 2 17%
Environmental Science 1 8%
Neuroscience 1 8%
Unspecified 1 8%
Other 0 0%
Unknown 4 33%