Association between polymorphisms in the promoter regions of matrix metalloproteinases (MMPs) and risk of cancer metastasis: a meta-analysis.

<h4>Background</h4>A variety of studies have evaluated the associations between polymorphisms in the promoter regions of Matrix metalloproteinases (MMPs) and cancer metastasis. However, the results remain inconclusive. To better understand the roles of MMP polymorphisms in metastasis, we...

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Autores principales: Dan Liu, Hong Guo, Yafei Li, Xueqing Xu, Kang Yang, Yun Bai
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Publicado: Public Library of Science (PLoS) 2012
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spelling oai:doaj.org-article:ed4f5afc2a334de0a10542d1f8bfdf1b2021-11-18T07:28:22ZAssociation between polymorphisms in the promoter regions of matrix metalloproteinases (MMPs) and risk of cancer metastasis: a meta-analysis.1932-620310.1371/journal.pone.0031251https://doaj.org/article/ed4f5afc2a334de0a10542d1f8bfdf1b2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22348060/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>A variety of studies have evaluated the associations between polymorphisms in the promoter regions of Matrix metalloproteinases (MMPs) and cancer metastasis. However, the results remain inconclusive. To better understand the roles of MMP polymorphisms in metastasis, we conducted a comprehensive meta-analysis.<h4>Methods</h4>Electronic databases were searched (from January 2000 to June 2011) for any MMP genetic association studies in metastasis. Overall and subgroup analyses were performed. Odds ratio (OR) and 95% confidence interval (CI) were used to evaluate the associations between MMP polymorphisms and metastasis. Statistical analysis was performed with Review Manager 5.0 and STATA11.0.<h4>Results</h4>Thirty-three studies addressing five MMP polymorphisms were analyzed among 10,516 cancer cases (4,059 metastasis-positive cases and 6,457 metastasis-negative cases). For MMP1 (-1607)1G/2G, genotype 2G/2G increased the overall risk of metastasis under the recessive model (OR = 1.44, 95% CI = 1.05-1.98). In subgroup analysis based on cancer type, associations were found in head/neck and breast cancer under the recessive model, and also in breast cancer under the dominant model. For MMP3 (-1171) 5A/6A, the polymorphism decreased the overall risk of metastasis under two genetic models (recessive: OR = 0.80, 95%CI = 0.64-0.99, dominant: OR = 0.72, 95%CI = 0.56-0.93). The polymorphisms of MMP7 (-181) A/G and MMP9 (-1562) C/T increased metastatic risk. However, no association was observed between MMP2 (-1306) C/T and metastasis.<h4>Conclusions</h4>Our investigations demonstrate that polymorphisms in the promoter regions of MMP1, 3, 7 and 9 might be associated with metastasis in some cancers. Further studies with large sample size for MMP2 should be conducted.Dan LiuHong GuoYafei LiXueqing XuKang YangYun BaiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 2, p e31251 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Dan Liu
Hong Guo
Yafei Li
Xueqing Xu
Kang Yang
Yun Bai
Association between polymorphisms in the promoter regions of matrix metalloproteinases (MMPs) and risk of cancer metastasis: a meta-analysis.
description <h4>Background</h4>A variety of studies have evaluated the associations between polymorphisms in the promoter regions of Matrix metalloproteinases (MMPs) and cancer metastasis. However, the results remain inconclusive. To better understand the roles of MMP polymorphisms in metastasis, we conducted a comprehensive meta-analysis.<h4>Methods</h4>Electronic databases were searched (from January 2000 to June 2011) for any MMP genetic association studies in metastasis. Overall and subgroup analyses were performed. Odds ratio (OR) and 95% confidence interval (CI) were used to evaluate the associations between MMP polymorphisms and metastasis. Statistical analysis was performed with Review Manager 5.0 and STATA11.0.<h4>Results</h4>Thirty-three studies addressing five MMP polymorphisms were analyzed among 10,516 cancer cases (4,059 metastasis-positive cases and 6,457 metastasis-negative cases). For MMP1 (-1607)1G/2G, genotype 2G/2G increased the overall risk of metastasis under the recessive model (OR = 1.44, 95% CI = 1.05-1.98). In subgroup analysis based on cancer type, associations were found in head/neck and breast cancer under the recessive model, and also in breast cancer under the dominant model. For MMP3 (-1171) 5A/6A, the polymorphism decreased the overall risk of metastasis under two genetic models (recessive: OR = 0.80, 95%CI = 0.64-0.99, dominant: OR = 0.72, 95%CI = 0.56-0.93). The polymorphisms of MMP7 (-181) A/G and MMP9 (-1562) C/T increased metastatic risk. However, no association was observed between MMP2 (-1306) C/T and metastasis.<h4>Conclusions</h4>Our investigations demonstrate that polymorphisms in the promoter regions of MMP1, 3, 7 and 9 might be associated with metastasis in some cancers. Further studies with large sample size for MMP2 should be conducted.
format article
author Dan Liu
Hong Guo
Yafei Li
Xueqing Xu
Kang Yang
Yun Bai
author_facet Dan Liu
Hong Guo
Yafei Li
Xueqing Xu
Kang Yang
Yun Bai
author_sort Dan Liu
title Association between polymorphisms in the promoter regions of matrix metalloproteinases (MMPs) and risk of cancer metastasis: a meta-analysis.
title_short Association between polymorphisms in the promoter regions of matrix metalloproteinases (MMPs) and risk of cancer metastasis: a meta-analysis.
title_full Association between polymorphisms in the promoter regions of matrix metalloproteinases (MMPs) and risk of cancer metastasis: a meta-analysis.
title_fullStr Association between polymorphisms in the promoter regions of matrix metalloproteinases (MMPs) and risk of cancer metastasis: a meta-analysis.
title_full_unstemmed Association between polymorphisms in the promoter regions of matrix metalloproteinases (MMPs) and risk of cancer metastasis: a meta-analysis.
title_sort association between polymorphisms in the promoter regions of matrix metalloproteinases (mmps) and risk of cancer metastasis: a meta-analysis.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/ed4f5afc2a334de0a10542d1f8bfdf1b
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