Loading…

Current evidence on the relationship between four polymorphisms in the matrix metalloproteinases (MMP) gene and breast cancer risk: a meta-analysis

The matrix metalloproteinases (MMP) can degrade various components of the extracellular matrix and its functional genetic polymorphisms may be associated with breast cancer risk. However, this relationship remains controversial. A meta-analysis was conducted in order to investigate the potential ass...

Full description

Saved in:
Bibliographic Details
Published in:Breast cancer research and treatment 2011-06, Vol.127 (3), p.813-818
Main Authors: Zhou, Ping, Du, Liang-Feng, Lv, Guo-Qiang, Yu, Xian-Ming, Gu, Yuan-Long, Li, Jian-Ping, Zhang, Chun
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c498t-9d1f27f2716145af8d37cdac1f58059557040f21b0f0cbfe7896c5dd6d6863113
cites cdi_FETCH-LOGICAL-c498t-9d1f27f2716145af8d37cdac1f58059557040f21b0f0cbfe7896c5dd6d6863113
container_end_page 818
container_issue 3
container_start_page 813
container_title Breast cancer research and treatment
container_volume 127
creator Zhou, Ping
Du, Liang-Feng
Lv, Guo-Qiang
Yu, Xian-Ming
Gu, Yuan-Long
Li, Jian-Ping
Zhang, Chun
description The matrix metalloproteinases (MMP) can degrade various components of the extracellular matrix and its functional genetic polymorphisms may be associated with breast cancer risk. However, this relationship remains controversial. A meta-analysis was conducted in order to investigate the potential association between four polymorphisms in the MMP gene and breast cancer risk. A database search yielded a total of 9 studies involving 2,597 cases and 2,618 controls. Four polymorphisms were included in the meta-analysis: MMP-1 −1607 2G/1G (rs1799750), MMP-2 −1306 C/T (rs243865), MMP-3 −1171 6A/5A (rs3025058) and MMP-9 −1562 C/T (rs3918242). Crude odds ratios (OR) with 95% confidence intervals (CI) were used to assess the strength of association. When all the studies were pooled into the meta-analysis, we found that breast cancer cases had a significantly higher frequency of CC genotype (OR = 1.27, 95% CI = 1.10, 1.47; P  = 0.001) and lower frequency of CT genotype (OR = 0.78, 95% CI = 0.67, 0.91; P  = 0.001) of MMP-2. No significant difference was found in any genotype of MMP-1, MMP-3 or MMP-9. In conclusion, this meta-analysis suggested that MMP-2 −1306 C/T polymorphism may contribute to breast cancer susceptibility. More studies were needed especially in Asians in the future.
doi_str_mv 10.1007/s10549-010-1294-0
format article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_868030764</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A356142747</galeid><sourcerecordid>A356142747</sourcerecordid><originalsourceid>FETCH-LOGICAL-c498t-9d1f27f2716145af8d37cdac1f58059557040f21b0f0cbfe7896c5dd6d6863113</originalsourceid><addsrcrecordid>eNp1kstu1DAUhiMEokPhAdggC8RtkXKcmxN21Yib1AoWsI48zvGMi2MPPg4wz8EL42kGShHIlizb33_uWXafwwkHEC-IQ111OXDIedFVOdzIFrwWZS4KLm5mC-CNyJsWmqPsDtEFAHQCutvZUcF5w8umW2Q_llMI6CLDr2ZAp5B5x-IGWUAro_GONmbLVhi_ITqm_RTY1tvd6MN2Y2gkZmZ8lDGY72zEKK312-AjGicJiT07P__wnK3RIZNuYKuAkiJTMvkKLBj6_JLJS10unbQ7MnQ3u6WlJbx3OI-zT69ffVy-zc_ev3m3PD3LVdW1Me8GrguRdsqlqqVuh1KoQSqu6xbqrq4FVKALvgINaqVRtF2j6mFohqZtSs7L4-zpbDeF-2VCiv1oSKG10qGfqG9T6UoQTZXIh3-RF6kSKdwEiZaXRdXuzT2aobW02BunfQxS7U32p2WdYixEJRJ18g8qrQFHo7xDbdL7NcGTPwQblDZuyNvpsjnXQT6DKniigLrfBjPKsOs59Pt56ed56WF_T_PSQ9I8OCQ2rUYcfit-DUgCHh8ASUpaHVLfDF1xVVHWCUxcMXOUvtwaw1WF_u_9J9Nj1p4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>878132481</pqid></control><display><type>article</type><title>Current evidence on the relationship between four polymorphisms in the matrix metalloproteinases (MMP) gene and breast cancer risk: a meta-analysis</title><source>Springer Nature</source><creator>Zhou, Ping ; Du, Liang-Feng ; Lv, Guo-Qiang ; Yu, Xian-Ming ; Gu, Yuan-Long ; Li, Jian-Ping ; Zhang, Chun</creator><creatorcontrib>Zhou, Ping ; Du, Liang-Feng ; Lv, Guo-Qiang ; Yu, Xian-Ming ; Gu, Yuan-Long ; Li, Jian-Ping ; Zhang, Chun</creatorcontrib><description>The matrix metalloproteinases (MMP) can degrade various components of the extracellular matrix and its functional genetic polymorphisms may be associated with breast cancer risk. However, this relationship remains controversial. A meta-analysis was conducted in order to investigate the potential association between four polymorphisms in the MMP gene and breast cancer risk. A database search yielded a total of 9 studies involving 2,597 cases and 2,618 controls. Four polymorphisms were included in the meta-analysis: MMP-1 −1607 2G/1G (rs1799750), MMP-2 −1306 C/T (rs243865), MMP-3 −1171 6A/5A (rs3025058) and MMP-9 −1562 C/T (rs3918242). Crude odds ratios (OR) with 95% confidence intervals (CI) were used to assess the strength of association. When all the studies were pooled into the meta-analysis, we found that breast cancer cases had a significantly higher frequency of CC genotype (OR = 1.27, 95% CI = 1.10, 1.47; P  = 0.001) and lower frequency of CT genotype (OR = 0.78, 95% CI = 0.67, 0.91; P  = 0.001) of MMP-2. No significant difference was found in any genotype of MMP-1, MMP-3 or MMP-9. In conclusion, this meta-analysis suggested that MMP-2 −1306 C/T polymorphism may contribute to breast cancer susceptibility. More studies were needed especially in Asians in the future.</description><identifier>ISSN: 0167-6806</identifier><identifier>EISSN: 1573-7217</identifier><identifier>DOI: 10.1007/s10549-010-1294-0</identifier><identifier>PMID: 21161369</identifier><identifier>CODEN: BCTRD6</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Biological and medical sciences ; Breast cancer ; Breast Neoplasms - genetics ; Cancer ; Cancer research ; Epidemiology ; Female ; Genes ; Genetic aspects ; Genetic Association Studies ; Genetic Predisposition to Disease ; Genotype ; Gynecology. Andrology. Obstetrics ; Health aspects ; Humans ; Mammary gland diseases ; Matrix Metalloproteinases - genetics ; Medical sciences ; Medicine ; Medicine &amp; Public Health ; Meta-analysis ; Odds Ratio ; Oncology ; Polymorphism ; Polymorphism, Single Nucleotide ; Promoter Regions, Genetic ; Risk ; Risk factors ; Tumors</subject><ispartof>Breast cancer research and treatment, 2011-06, Vol.127 (3), p.813-818</ispartof><rights>Springer Science+Business Media, LLC. 2010</rights><rights>2015 INIST-CNRS</rights><rights>COPYRIGHT 2011 Springer</rights><rights>Springer Science+Business Media, LLC. 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c498t-9d1f27f2716145af8d37cdac1f58059557040f21b0f0cbfe7896c5dd6d6863113</citedby><cites>FETCH-LOGICAL-c498t-9d1f27f2716145af8d37cdac1f58059557040f21b0f0cbfe7896c5dd6d6863113</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=24235136$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21161369$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhou, Ping</creatorcontrib><creatorcontrib>Du, Liang-Feng</creatorcontrib><creatorcontrib>Lv, Guo-Qiang</creatorcontrib><creatorcontrib>Yu, Xian-Ming</creatorcontrib><creatorcontrib>Gu, Yuan-Long</creatorcontrib><creatorcontrib>Li, Jian-Ping</creatorcontrib><creatorcontrib>Zhang, Chun</creatorcontrib><title>Current evidence on the relationship between four polymorphisms in the matrix metalloproteinases (MMP) gene and breast cancer risk: a meta-analysis</title><title>Breast cancer research and treatment</title><addtitle>Breast Cancer Res Treat</addtitle><addtitle>Breast Cancer Res Treat</addtitle><description>The matrix metalloproteinases (MMP) can degrade various components of the extracellular matrix and its functional genetic polymorphisms may be associated with breast cancer risk. However, this relationship remains controversial. A meta-analysis was conducted in order to investigate the potential association between four polymorphisms in the MMP gene and breast cancer risk. A database search yielded a total of 9 studies involving 2,597 cases and 2,618 controls. Four polymorphisms were included in the meta-analysis: MMP-1 −1607 2G/1G (rs1799750), MMP-2 −1306 C/T (rs243865), MMP-3 −1171 6A/5A (rs3025058) and MMP-9 −1562 C/T (rs3918242). Crude odds ratios (OR) with 95% confidence intervals (CI) were used to assess the strength of association. When all the studies were pooled into the meta-analysis, we found that breast cancer cases had a significantly higher frequency of CC genotype (OR = 1.27, 95% CI = 1.10, 1.47; P  = 0.001) and lower frequency of CT genotype (OR = 0.78, 95% CI = 0.67, 0.91; P  = 0.001) of MMP-2. No significant difference was found in any genotype of MMP-1, MMP-3 or MMP-9. In conclusion, this meta-analysis suggested that MMP-2 −1306 C/T polymorphism may contribute to breast cancer susceptibility. More studies were needed especially in Asians in the future.</description><subject>Biological and medical sciences</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - genetics</subject><subject>Cancer</subject><subject>Cancer research</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genetic Association Studies</subject><subject>Genetic Predisposition to Disease</subject><subject>Genotype</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Mammary gland diseases</subject><subject>Matrix Metalloproteinases - genetics</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Meta-analysis</subject><subject>Odds Ratio</subject><subject>Oncology</subject><subject>Polymorphism</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Promoter Regions, Genetic</subject><subject>Risk</subject><subject>Risk factors</subject><subject>Tumors</subject><issn>0167-6806</issn><issn>1573-7217</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp1kstu1DAUhiMEokPhAdggC8RtkXKcmxN21Yib1AoWsI48zvGMi2MPPg4wz8EL42kGShHIlizb33_uWXafwwkHEC-IQ111OXDIedFVOdzIFrwWZS4KLm5mC-CNyJsWmqPsDtEFAHQCutvZUcF5w8umW2Q_llMI6CLDr2ZAp5B5x-IGWUAro_GONmbLVhi_ITqm_RTY1tvd6MN2Y2gkZmZ8lDGY72zEKK312-AjGicJiT07P__wnK3RIZNuYKuAkiJTMvkKLBj6_JLJS10unbQ7MnQ3u6WlJbx3OI-zT69ffVy-zc_ev3m3PD3LVdW1Me8GrguRdsqlqqVuh1KoQSqu6xbqrq4FVKALvgINaqVRtF2j6mFohqZtSs7L4-zpbDeF-2VCiv1oSKG10qGfqG9T6UoQTZXIh3-RF6kSKdwEiZaXRdXuzT2aobW02BunfQxS7U32p2WdYixEJRJ18g8qrQFHo7xDbdL7NcGTPwQblDZuyNvpsjnXQT6DKniigLrfBjPKsOs59Pt56ed56WF_T_PSQ9I8OCQ2rUYcfit-DUgCHh8ASUpaHVLfDF1xVVHWCUxcMXOUvtwaw1WF_u_9J9Nj1p4</recordid><startdate>20110601</startdate><enddate>20110601</enddate><creator>Zhou, Ping</creator><creator>Du, Liang-Feng</creator><creator>Lv, Guo-Qiang</creator><creator>Yu, Xian-Ming</creator><creator>Gu, Yuan-Long</creator><creator>Li, Jian-Ping</creator><creator>Zhang, Chun</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9-</scope><scope>K9.</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20110601</creationdate><title>Current evidence on the relationship between four polymorphisms in the matrix metalloproteinases (MMP) gene and breast cancer risk: a meta-analysis</title><author>Zhou, Ping ; Du, Liang-Feng ; Lv, Guo-Qiang ; Yu, Xian-Ming ; Gu, Yuan-Long ; Li, Jian-Ping ; Zhang, Chun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c498t-9d1f27f2716145af8d37cdac1f58059557040f21b0f0cbfe7896c5dd6d6863113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Biological and medical sciences</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - genetics</topic><topic>Cancer</topic><topic>Cancer research</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genetic Association Studies</topic><topic>Genetic Predisposition to Disease</topic><topic>Genotype</topic><topic>Gynecology. Andrology. Obstetrics</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Mammary gland diseases</topic><topic>Matrix Metalloproteinases - genetics</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Meta-analysis</topic><topic>Odds Ratio</topic><topic>Oncology</topic><topic>Polymorphism</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Promoter Regions, Genetic</topic><topic>Risk</topic><topic>Risk factors</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Ping</creatorcontrib><creatorcontrib>Du, Liang-Feng</creatorcontrib><creatorcontrib>Lv, Guo-Qiang</creatorcontrib><creatorcontrib>Yu, Xian-Ming</creatorcontrib><creatorcontrib>Gu, Yuan-Long</creatorcontrib><creatorcontrib>Li, Jian-Ping</creatorcontrib><creatorcontrib>Zhang, Chun</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Family Health Database (ProQuest)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Breast cancer research and treatment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Ping</au><au>Du, Liang-Feng</au><au>Lv, Guo-Qiang</au><au>Yu, Xian-Ming</au><au>Gu, Yuan-Long</au><au>Li, Jian-Ping</au><au>Zhang, Chun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Current evidence on the relationship between four polymorphisms in the matrix metalloproteinases (MMP) gene and breast cancer risk: a meta-analysis</atitle><jtitle>Breast cancer research and treatment</jtitle><stitle>Breast Cancer Res Treat</stitle><addtitle>Breast Cancer Res Treat</addtitle><date>2011-06-01</date><risdate>2011</risdate><volume>127</volume><issue>3</issue><spage>813</spage><epage>818</epage><pages>813-818</pages><issn>0167-6806</issn><eissn>1573-7217</eissn><coden>BCTRD6</coden><abstract>The matrix metalloproteinases (MMP) can degrade various components of the extracellular matrix and its functional genetic polymorphisms may be associated with breast cancer risk. However, this relationship remains controversial. A meta-analysis was conducted in order to investigate the potential association between four polymorphisms in the MMP gene and breast cancer risk. A database search yielded a total of 9 studies involving 2,597 cases and 2,618 controls. Four polymorphisms were included in the meta-analysis: MMP-1 −1607 2G/1G (rs1799750), MMP-2 −1306 C/T (rs243865), MMP-3 −1171 6A/5A (rs3025058) and MMP-9 −1562 C/T (rs3918242). Crude odds ratios (OR) with 95% confidence intervals (CI) were used to assess the strength of association. When all the studies were pooled into the meta-analysis, we found that breast cancer cases had a significantly higher frequency of CC genotype (OR = 1.27, 95% CI = 1.10, 1.47; P  = 0.001) and lower frequency of CT genotype (OR = 0.78, 95% CI = 0.67, 0.91; P  = 0.001) of MMP-2. No significant difference was found in any genotype of MMP-1, MMP-3 or MMP-9. In conclusion, this meta-analysis suggested that MMP-2 −1306 C/T polymorphism may contribute to breast cancer susceptibility. More studies were needed especially in Asians in the future.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>21161369</pmid><doi>10.1007/s10549-010-1294-0</doi><tpages>6</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0167-6806
ispartof Breast cancer research and treatment, 2011-06, Vol.127 (3), p.813-818
issn 0167-6806
1573-7217
language eng
recordid cdi_proquest_miscellaneous_868030764
source Springer Nature
subjects Biological and medical sciences
Breast cancer
Breast Neoplasms - genetics
Cancer
Cancer research
Epidemiology
Female
Genes
Genetic aspects
Genetic Association Studies
Genetic Predisposition to Disease
Genotype
Gynecology. Andrology. Obstetrics
Health aspects
Humans
Mammary gland diseases
Matrix Metalloproteinases - genetics
Medical sciences
Medicine
Medicine & Public Health
Meta-analysis
Odds Ratio
Oncology
Polymorphism
Polymorphism, Single Nucleotide
Promoter Regions, Genetic
Risk
Risk factors
Tumors
title Current evidence on the relationship between four polymorphisms in the matrix metalloproteinases (MMP) gene and breast cancer risk: a meta-analysis
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T20%3A14%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Current%20evidence%20on%20the%20relationship%20between%20four%20polymorphisms%20in%20the%20matrix%20metalloproteinases%20(MMP)%20gene%20and%20breast%20cancer%20risk:%20a%20meta-analysis&rft.jtitle=Breast%20cancer%20research%20and%20treatment&rft.au=Zhou,%20Ping&rft.date=2011-06-01&rft.volume=127&rft.issue=3&rft.spage=813&rft.epage=818&rft.pages=813-818&rft.issn=0167-6806&rft.eissn=1573-7217&rft.coden=BCTRD6&rft_id=info:doi/10.1007/s10549-010-1294-0&rft_dat=%3Cgale_proqu%3EA356142747%3C/gale_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c498t-9d1f27f2716145af8d37cdac1f58059557040f21b0f0cbfe7896c5dd6d6863113%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=878132481&rft_id=info:pmid/21161369&rft_galeid=A356142747&rfr_iscdi=true