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Published in: Tumor Biology 6/2012

01-12-2012 | Research Article

MMP1-1607 1G/2G polymorphism and lung cancer risk: a meta-analysis

Authors: Xu-Yang Xiao, Xiao-Dong Wang, Dong-Yu Zang

Published in: Tumor Biology | Issue 6/2012

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Abstract

Matrix metalloproteinase-1 (MMP-1) plays an important role in the breakdown of extracellular matrix and mediates pathways of apoptosis, angiogenesis, and immunity. It has been demonstrated that MMP-1 overexpression is associated with tumor initiation, invasion, and metastasis. Many studies have investigated the association between MMP1-1607 1G/2G polymorphism and lung cancer risk, but the impact of MMP1-1607 1G/2G polymorphism on lung cancer is unclear owing to the obvious inconsistence among those studies. This study aimed to quantify the strength of the association between MMP1-1607 1G/2G polymorphism and lung cancer risk. We searched the PubMed, Embase, and Wanfang databases for studies on the association between MMP1-1607 1G/2G polymorphism and risk of lung cancer. We estimated summary odds ratio (OR) with its corresponding 95 % confidence interval (95%CI) to assess the association. Overall, MMP1-1607 1G/2G polymorphism was associated with increased risk of lung cancer under four genetic models (OR2G versus 1G = 1.21, 95 %CI 1.06–1.37; OR2G2G versus 1G1G = 1.36, 95%CI 1.09–1.70; OR2G2G versus 2G1G+1G1G = 1.33, 95 %CI 1.10–1.61; and OR2G2G+2G1G versus 1G1G = 1.15, 95 %CI 1.04–1.27). Meta-analyses of studies with high quality showed that MMP1-1607 1G/2G polymorphism was still associated with lung cancer risk under those four genetic models. Subgroup analyses by ethnicity and sensitivity analyses further identified the significant association in East Asians. No evidence of publication bias was observed. Meta-analyses of available data show a significant association between MMP1-1607 1G/2G polymorphism and lung cancer risk.
Literature
1.
go back to reference Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90.PubMedCrossRef Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90.PubMedCrossRef
2.
4.
go back to reference Brennan P, Hainaut P, Boffetta P. Genetics of lung-cancer susceptibility. Lancet Oncol. 2011;12:399–408.PubMedCrossRef Brennan P, Hainaut P, Boffetta P. Genetics of lung-cancer susceptibility. Lancet Oncol. 2011;12:399–408.PubMedCrossRef
5.
go back to reference Steliga MA, Dresler CM. Epidemiology of lung cancer: smoking, secondhand smoke, and genetics. Surg Oncol Clin N Am. 2011;20:605–18.PubMedCrossRef Steliga MA, Dresler CM. Epidemiology of lung cancer: smoking, secondhand smoke, and genetics. Surg Oncol Clin N Am. 2011;20:605–18.PubMedCrossRef
6.
go back to reference Yokota J, Shiraishi K, Kohno T. Genetic basis for susceptibility to lung cancer: recent progress and future directions. Adv Cancer Res. 2010;109:51–72.PubMedCrossRef Yokota J, Shiraishi K, Kohno T. Genetic basis for susceptibility to lung cancer: recent progress and future directions. Adv Cancer Res. 2010;109:51–72.PubMedCrossRef
7.
go back to reference Kessenbrock K, Plaks V, Werb Z. Matrix metalloproteinases: regulators of the tumor microenvironment. Cell. 2010;141:52–67.PubMedCrossRef Kessenbrock K, Plaks V, Werb Z. Matrix metalloproteinases: regulators of the tumor microenvironment. Cell. 2010;141:52–67.PubMedCrossRef
8.
go back to reference Attia J, Thakkinstian A, D'Este C. Meta-analyses of molecular association studies: methodologic lessons for genetic epidemiology. J Clin Epidemiol. 2003;56:297–303.PubMedCrossRef Attia J, Thakkinstian A, D'Este C. Meta-analyses of molecular association studies: methodologic lessons for genetic epidemiology. J Clin Epidemiol. 2003;56:297–303.PubMedCrossRef
9.
go back to reference Petitti DB, Contreras R, Ziel FH, Dudl J, Domurat ES, Hyatt JA. Evaluation of the effect of performance monitoring and feedback on care process, utilization, and outcome. Diabetes Care. 2000;23:192–6.PubMedCrossRef Petitti DB, Contreras R, Ziel FH, Dudl J, Domurat ES, Hyatt JA. Evaluation of the effect of performance monitoring and feedback on care process, utilization, and outcome. Diabetes Care. 2000;23:192–6.PubMedCrossRef
10.
go back to reference Sotiriadis A, Makrigiannakis A, Stefos T, Paraskevaidis E, Kalantaridou SN. Fibrinolytic defects and recurrent miscarriage: a systematic review and meta-analysis. Obstet Gynecol. 2007;109:1146–55.PubMedCrossRef Sotiriadis A, Makrigiannakis A, Stefos T, Paraskevaidis E, Kalantaridou SN. Fibrinolytic defects and recurrent miscarriage: a systematic review and meta-analysis. Obstet Gynecol. 2007;109:1146–55.PubMedCrossRef
11.
go back to reference Su MT, Lin SH, Chen YC. Genetic association studies of angiogenesis- and vasoconstriction-related genes in women with recurrent pregnancy loss: a systematic review and meta-analysis. Hum Reprod Update. 2011;17:803–12.PubMedCrossRef Su MT, Lin SH, Chen YC. Genetic association studies of angiogenesis- and vasoconstriction-related genes in women with recurrent pregnancy loss: a systematic review and meta-analysis. Hum Reprod Update. 2011;17:803–12.PubMedCrossRef
12.
go back to reference Salanti G, Amountza G, Ntzani EE, Ioannidis JP. Hardy–Weinberg equilibrium in genetic association studies: an empirical evaluation of reporting, deviations, and power. Eur J Hum Genet. 2005;13:840–8.PubMedCrossRef Salanti G, Amountza G, Ntzani EE, Ioannidis JP. Hardy–Weinberg equilibrium in genetic association studies: an empirical evaluation of reporting, deviations, and power. Eur J Hum Genet. 2005;13:840–8.PubMedCrossRef
13.
go back to reference Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Canc Inst. 1959;22:719–48. Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Canc Inst. 1959;22:719–48.
14.
15.
go back to reference Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60.PubMedCrossRef Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60.PubMedCrossRef
16.
go back to reference Cochran WG. The comparison of percentages in matched samples. Biometrika. 1950;37:256–66.PubMed Cochran WG. The comparison of percentages in matched samples. Biometrika. 1950;37:256–66.PubMed
17.
go back to reference Thompson SG, Higgins JP. How should meta-regression analyses be undertaken and interpreted? Stat Med. 2002;21:1559–73.PubMedCrossRef Thompson SG, Higgins JP. How should meta-regression analyses be undertaken and interpreted? Stat Med. 2002;21:1559–73.PubMedCrossRef
18.
go back to reference Tobias A. Assessing the influence of a single study in the meta-analysis estimate. Stata Tech Bull. 1999;8:15–7. Tobias A. Assessing the influence of a single study in the meta-analysis estimate. Stata Tech Bull. 1999;8:15–7.
19.
go back to reference Burchard EG, Ziv E, Coyle N, Gomez SL, Tang H, Karter AJ, Mountain JL, Perez-Stable EJ, Sheppard D, Risch N. The importance of race and ethnic background in biomedical research and clinical practice. N Engl J Med. 2003;348:1170–5.PubMedCrossRef Burchard EG, Ziv E, Coyle N, Gomez SL, Tang H, Karter AJ, Mountain JL, Perez-Stable EJ, Sheppard D, Risch N. The importance of race and ethnic background in biomedical research and clinical practice. N Engl J Med. 2003;348:1170–5.PubMedCrossRef
20.
go back to reference Bhopal R. Glossary of terms relating to ethnicity and race: for reflection and debate. J Epidemiol Commun Health. 2004;58:441–5.CrossRef Bhopal R. Glossary of terms relating to ethnicity and race: for reflection and debate. J Epidemiol Commun Health. 2004;58:441–5.CrossRef
21.
go back to reference Stuck AE, Rubenstein LZ, Wieland D. Bias in meta-analysis detected by a simple, graphical test. Asymmetry detected in funnel plot was probably due to true heterogeneity. BMJ. 1998;316(469):470–1. Stuck AE, Rubenstein LZ, Wieland D. Bias in meta-analysis detected by a simple, graphical test. Asymmetry detected in funnel plot was probably due to true heterogeneity. BMJ. 1998;316(469):470–1.
22.
go back to reference Egger M, Davey SG, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–34.PubMedCrossRef Egger M, Davey SG, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–34.PubMedCrossRef
23.
go back to reference Liu L, Wu J, Wu C, Wang Y, Zhong R, Zhang X, Tan W, Nie S, Miao X, Lin D. A functional polymorphism (−1607 1G– > 2G) in the matrix metalloproteinase-1 promoter is associated with development and progression of lung cancer. Cancer. 2011;117:5172–81.PubMedCrossRef Liu L, Wu J, Wu C, Wang Y, Zhong R, Zhang X, Tan W, Nie S, Miao X, Lin D. A functional polymorphism (−1607 1G– > 2G) in the matrix metalloproteinase-1 promoter is associated with development and progression of lung cancer. Cancer. 2011;117:5172–81.PubMedCrossRef
24.
go back to reference Hart K, Landvik NE, Lind H, Skaug V, Haugen A, Zienolddiny S. A combination of functional polymorphisms in the casp8, mmp1, il10 and seps1 genes affects risk of non-small cell lung cancer. Lung Canc-J IASLC. 2011;71:123–9.CrossRef Hart K, Landvik NE, Lind H, Skaug V, Haugen A, Zienolddiny S. A combination of functional polymorphisms in the casp8, mmp1, il10 and seps1 genes affects risk of non-small cell lung cancer. Lung Canc-J IASLC. 2011;71:123–9.CrossRef
25.
go back to reference Gonzalez-Arriaga P, Lopez-Cima MF, Fernandez-Somoano A, Pascual T, Marron MG, Puente XS, Tardon A. Polymorphism +17 c/g in matrix metalloprotease mmp8 decreases lung cancer risk. BMC Canc. 2008;8:378.CrossRef Gonzalez-Arriaga P, Lopez-Cima MF, Fernandez-Somoano A, Pascual T, Marron MG, Puente XS, Tardon A. Polymorphism +17 c/g in matrix metalloprotease mmp8 decreases lung cancer risk. BMC Canc. 2008;8:378.CrossRef
26.
go back to reference Wei WQ, Liang XQ, Wen XP. The association of mmp-1-1607(1G–2G) single nucleotide polymorphism with the susceptibility to non-small cell lung carcinoma in Guizhou Han nationality. J Guiyang Med College. 2007;32:267–72 [Aticle in Chinese]. Wei WQ, Liang XQ, Wen XP. The association of mmp-1-1607(1G–2G) single nucleotide polymorphism with the susceptibility to non-small cell lung carcinoma in Guizhou Han nationality. J Guiyang Med College. 2007;32:267–72 [Aticle in Chinese].
27.
go back to reference Cheng XL. Correlation of single nucleotide polymorphism in the matrix metalloproteinase-1 promoter(−1607) 1G/2G with risk of lung cancer. J Shanxi Med Univ. 2007;38:777–9 [Article in Chinese]. Cheng XL. Correlation of single nucleotide polymorphism in the matrix metalloproteinase-1 promoter(−1607) 1G/2G with risk of lung cancer. J Shanxi Med Univ. 2007;38:777–9 [Article in Chinese].
28.
go back to reference Zhang WQ, Lin H, Zhou YA, Wang YJ, Cheng QS. Association of mmp-1-1607 1G/2G single nucleotide polymorphism with susceptibility to lung cancer in northwestern Chinese population of Han nationality. Chin J Med Genet. 2006;23:313–5 [Article in Chinese]. Zhang WQ, Lin H, Zhou YA, Wang YJ, Cheng QS. Association of mmp-1-1607 1G/2G single nucleotide polymorphism with susceptibility to lung cancer in northwestern Chinese population of Han nationality. Chin J Med Genet. 2006;23:313–5 [Article in Chinese].
29.
go back to reference Su L, Zhou W, Asomaning K, Lin X, Wain JC, Lynch TJ, Liu G, Christiani DC. Genotypes and haplotypes of matrix metalloproteinase 1, 3 and 12 genes and the risk of lung cancer. Carcinogenesis. 2006;27:1024–9.PubMedCrossRef Su L, Zhou W, Asomaning K, Lin X, Wain JC, Lynch TJ, Liu G, Christiani DC. Genotypes and haplotypes of matrix metalloproteinase 1, 3 and 12 genes and the risk of lung cancer. Carcinogenesis. 2006;27:1024–9.PubMedCrossRef
30.
go back to reference Fang S, Jin X, Wang R, Li Y, Guo W, Wang N, Wang Y, Wen D, Wei L, Zhang J. Polymorphisms in the mmp1 and mmp3 promoter and non-small cell lung carcinoma in north China. Carcinogenesis. 2005;26:481–6.PubMedCrossRef Fang S, Jin X, Wang R, Li Y, Guo W, Wang N, Wang Y, Wen D, Wei L, Zhang J. Polymorphisms in the mmp1 and mmp3 promoter and non-small cell lung carcinoma in north China. Carcinogenesis. 2005;26:481–6.PubMedCrossRef
31.
go back to reference Schabath MB, Delclos GL, Martynowicz MM, Greisinger AJ, Lu C, Wu X, Spitz MR. Opposing effects of emphysema, hay fever, and select genetic variants on lung cancer risk. Am J Epidemiol. 2005;161:412–22.PubMedCrossRef Schabath MB, Delclos GL, Martynowicz MM, Greisinger AJ, Lu C, Wu X, Spitz MR. Opposing effects of emphysema, hay fever, and select genetic variants on lung cancer risk. Am J Epidemiol. 2005;161:412–22.PubMedCrossRef
32.
go back to reference Zhu Y, Spitz MR, Lei L, Mills GB, Wu X. A single nucleotide polymorphism in the matrix metalloproteinase-1 promoter enhances lung cancer susceptibility. Cancer Res. 2001;61:7825–9.PubMed Zhu Y, Spitz MR, Lei L, Mills GB, Wu X. A single nucleotide polymorphism in the matrix metalloproteinase-1 promoter enhances lung cancer susceptibility. Cancer Res. 2001;61:7825–9.PubMed
33.
go back to reference Liu D, Guo H, Li Y, Xu X, Yang K, Bai Y. Association between polymorphisms in the promoter regions of matrix metalloproteinases (mmps) and risk of cancer metastasis: a meta-analysis. PLoS One. 2012;7:e31251.PubMedCrossRef Liu D, Guo H, Li Y, Xu X, Yang K, Bai Y. Association between polymorphisms in the promoter regions of matrix metalloproteinases (mmps) and risk of cancer metastasis: a meta-analysis. PLoS One. 2012;7:e31251.PubMedCrossRef
34.
go back to reference Peters J, Mengersen K. Selective reporting of adjusted estimates in observational epidemiology studies: reasons and implications for meta-analyses. Eval Health Prof. 2008;31:370–89.PubMedCrossRef Peters J, Mengersen K. Selective reporting of adjusted estimates in observational epidemiology studies: reasons and implications for meta-analyses. Eval Health Prof. 2008;31:370–89.PubMedCrossRef
35.
go back to reference Li Y, Qiu LX, Shen XK, Lv XJ, Qian XP, Song Y. A meta-analysis of tp53 codon 72 polymorphism and lung cancer risk: evidence from 15,857 subjects. Lung Canc-J IASLC. 2009;66:15–21.CrossRef Li Y, Qiu LX, Shen XK, Lv XJ, Qian XP, Song Y. A meta-analysis of tp53 codon 72 polymorphism and lung cancer risk: evidence from 15,857 subjects. Lung Canc-J IASLC. 2009;66:15–21.CrossRef
Metadata
Title
MMP1-1607 1G/2G polymorphism and lung cancer risk: a meta-analysis
Authors
Xu-Yang Xiao
Xiao-Dong Wang
Dong-Yu Zang
Publication date
01-12-2012
Publisher
Springer Netherlands
Published in
Tumor Biology / Issue 6/2012
Print ISSN: 1010-4283
Electronic ISSN: 1423-0380
DOI
https://doi.org/10.1007/s13277-012-0502-4

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