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  3. Vol. 12 No. 3 (2015): May-June 2015
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Vol. 12 No. 3 (2015)

July 2015

A Systematic Review and Meta-Analysis of Three Gene Variants Association with Risk of Prostate Cancer: An Update

  • Yu Chen
  • Huan Zhong
  • Jian-Guo Gao
  • Jian-Er Tang
  • Rongjiang Wang

Urology Journal, Vol. 12 No. 3 (2015), 1 July 2015 , Page 2138-2147
https://doi.org/10.22037/uj.v12i3.2800 Published: 2015-07-01

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Abstract

Purpose: Prostate cancer (PCa) is one of the most commonly diagnosed male malignancies. Nu­merous studies have investigated the role of genetic variants in PCa risk. However, the results re­main unclear. The purpose of this study was to evaluate the relationship between single-nucleo­tide polymorphism (SNP) rs2228001 in xeroderma pigmentosum group C (XPC), SNP rs4073 in interleukin 8 (IL8), and SNP rs2279744 in mouse double minute 2 (MDM2) homolog gene with PCa susceptibility.

Materials and Methods: Electronic database of PubMed, Medline, and Embase were searched for eligible articles published between January 2000 and April 2014. The odd ra­tio (OR) with its 95% confidence interval (CI) were calculated to estimate the strength of association.

Results: A total 18 case-control studies, including 5725 PCa cases and 5900 healthy controls, were screened out. Six studies were eligible for each SNP. For XPC 939A/C polymorphism, no significant association was found with PCa risk in the whole population (P > .05). No relationship in subgroup analysis was found by ethnicity. For IL8 -251T/A variant, the A allele was not related with PCa risk in any genetic models when compared with those individuals without A allele. For MDM2 -309T/G mutation, the G allele was not as­sociated with the increased risk of PCa in total population and subgroup analysis by ethnicity as well.

Conclusion: Our study demonstrated that all these three genetic polymorphisms were not associated with an in­creased risk of developing PCa, which might also provide an insight into the future research. Further large-scale studies with concerning the gene-gene and gene-environment interactions are needed to elucidate final conclusion.

 

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How to Cite

Chen, Y., Zhong, H., Gao, J.-G., Tang, J.-E., & Wang, R. (2015). A Systematic Review and Meta-Analysis of Three Gene Variants Association with Risk of Prostate Cancer: An Update. Urology Journal, 12(3), 2138–2147. https://doi.org/10.22037/uj.v12i3.2800
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