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Association between matrix-metalloproteinase polymorphisms and prostate cancer risk: a meta-analysis and systematic review

Authors Zhou H, Zhu X

Received 18 June 2018

Accepted for publication 8 August 2018

Published 2 November 2018 Volume 2018:10 Pages 5247—5259

DOI https://doi.org/10.2147/CMAR.S177551

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Ms Justinn Cochran

Peer reviewer comments 2

Editor who approved publication: Dr Antonella D'Anneo


Hongxing Zhou,1 Xuming Zhu2

1Department of Clinical Laboratory, Changzhou Second Hospital affiliated to Nanjing Medical University, Changzhou, Jiangsu Province, China; 2Department of Clinical Laboratory, Wuxi People’s Hospital affiliated to Nanjing Medical University, Wuxi, Jiangsu Province, China

Background: Data from published articles on the relationship between MMP polymorphisms and prostate cancer risk are conflicted and inconclusive, so a meta-analysis and systematic review were performed to assess the relationship.
Methods: Relevant research articles were identified from databases using a search strategy. Studies with the same MMP polymorphisms that could be quantitatively synthesized were included in the meta-analysis. Five comparison models (homozygote, heterozygote, dominant, recessive, and additive) were applied, and a subgroup analysis by case-group sample type was performed. Studies with different polymorphisms that could not be quantitatively synthesized were included in the systematic review.
Results: Eleven articles encompassing 22 studies involving 12 MMP polymorphisms were included in this paper. Among the studies included, 13 studies involving MMP1 rs1799750, MMP2 rs243865, and MMP7 rs11568818 were quantitatively synthesized for meta-analysis, and the other nine studies involving nine polymorphisms (MMP2 rs2285053, MMP2 rs1477017, MMP2 rs17301608, MMP2 rs11639960, MMP3 11715A/6A, MMP3 1161A/G, MMP3 5356A/G, MMP9 rs17576, and MMP13 rs2252070) were included in the systematic review. Meta-analysis showed no associations between MMP1 rs1799750, MMP2 rs243865, or MMP7 rs11568818 and prostate cancer risk overall. Subgroup analysis by case-group sample type confirmed that no associations existed. The systematic review suggested that MMP3 11715A/6A and MMP9 rs17576 were associated with prostate cancer risk.
Conclusion: MMP polymorphisms are not associated with prostate cancer risk, except for MMP3 11715A/6A and MMP9 rs17576. However, it is necessary to conduct larger-scale, high-quality studies in future.

Keywords: matrix metalloproteinase, polymorphism, prostate cancer, meta-analysis 
 
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