A Matrix Metalloproteinase-1 Polymorphism,MMP1–1607(1G>2G), Is Associated with Increased Cancer Risk: A Meta-Analysis Including 21,327 Patients

Although the matrix metalloproteinase-1 (MMP1) polymorphismMMP1–1607 (1G>2G) has been associated with susceptibility to various cancers, these findings are controversial. Therefore, we conducted this meta-analysis to explore the association betweenMMP1–1607 (1G>2G) and cancer risk. A systematic search of literature through PubMed, Embase, ISI Web of Knowledge, and Google Scholar yielded 77 articles with 21,327 cancer patients and 23,245 controls. The association between theMMP1–1607 (1G>2G) polymorphism and cancer risks was detected in an allele model (2G vs. 1G, overall risk [OR]: 1.174, 95% confidence interval [CI]: 1.107–1.244), a dominant model (2G2G/1G2G vs. 1G1G OR, OR: 1.192, 95% CI: 1.090–1.303), and a recessive model (2G2G vs. 1G2G/1G1G, OR: 1.231, 95% CI: 1.141–1.329). In subgroup analysis, these associations were detected in both Asians and Caucasians. After stratification by cancer types, associations were found in lung, colorectal, nervous system, renal, bladder, and nasopharyngeal cancers. This meta-analysis revealed thatMMP1–1607 (1G>2G) polymorphism was significantly associated with elevated risk of cancers.

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Association between the polymorphism of MMP-1 gene with knee osteoarthritis risk: a meta-analysis

10.21203/rs.2.16319/v1 ◽

2019 ◽

Author(s):

Feifan Lu ◽

Pei Liu ◽

Weiguo Wang ◽

Qidong Zhang ◽

Wanshou Guo

Keyword(s):

Knee Osteoarthritis ◽

Web Of Science ◽

Meta Analysis ◽

Recessive Model ◽

Cochrane Library ◽

Knee Oa ◽

Matrix Metalloproteinase 1 ◽

Statistical Heterogeneity ◽

Different Populations ◽

Allele Model

Abstract Background: The existing studies on the association between polymorphisms of Matrix metalloproteinase-1 (MMP-1) (-1607 1G/2G) (rs1799750) polymorphism and the risk of knee osteoarthritis (OA, a complex multifactorial disease and a major degenerative form of arthritis) in different populations have yielded conflicting findings. Method: Literature search was performed in PubMed, Cochrane Library, Web of science, Google Scholar (From January 1990 to June 2019), and assessing this association by calculating odds ratios with 95% confidence intervals. Subgroup analyses stratified by ethnicity were also conducted. Statistical heterogeneity was quantitatively evaluated by X 2 test with the significance set P<0.10 or I 2 >50%. Result: Five case-control based studies (924 cases and 928 controls) were included. The results suggested that the MMP-1 (-1607 1G/2G) (rs1799750) gene polymorphisms were not associated with knee OA risk in all genetic models (Allele model OR =1.22, 95% CI: 0.72-1.76, p=0.615, Recessive model OR = 1.12, 95% CI: 0.70-2.15, p=0.486, and Dominant model OR = 1.14, 95%CI: 0.64-2.04, p=0.659, Figure 3-5) Conclusions: There is no association between the polymorphism of MMP-1 (-1607 1G/2G) (rs1799750) polymorphism with the risk of knee osteoarthritis, a large number of studies may be necessary to verify this association in different populations and environmental factors.

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Meta-analysis of matrix metalloproteinase (MMP)-9 C1562T polymorphism and susceptibility to ischemic stroke in the Chinese population

Journal of International Medical Research ◽

10.1177/0300060520926427 ◽

2020 ◽

Vol 48 (6) ◽

pp. 030006052092642 ◽

Cited By ~ 1

Author(s):

Yan Jiang ◽

HongYu Liu ◽

Yukai Wang ◽

Xinxiu Shi ◽

Yankun Shao ◽

...

Keyword(s):

Ischemic Stroke ◽

Matrix Metalloproteinase ◽

Odds Ratio ◽

Chinese Population ◽

Meta Analysis ◽

Gene Promoter ◽

Recessive Model ◽

China National Knowledge Infrastructure ◽

Significant Difference ◽

The Matrix

Objective Many studies have shown that the C1562T polymorphism in the matrix metalloproteinase (MMP)-9 gene promoter is associated with susceptibility to ischemic stroke (IS), but the association between them remains controversial. Our objective was to explore the relationship between MMP9 C1562T polymorphism and susceptibility to IS in the Chinese population. Methods We conducted a database search of Wanfang, China Science and Technology Journal database, China National Knowledge Infrastructure, Medline, Embase, PubMed and Springerlink through September 2019. Meta-analysis was performed using Stata15.0 software (StataCorp LP, College Station, TX, USA). Results Thirteen articles were included, including 3,996 patients and 3,815 controls. Among the Chinese population, the results showed no significant difference for the allele model (T vs. C; odds ratio = 1.05, 95%CI: 0.80–1.37). Significant differences were found in the dominant model (TT+TC vs. CC; odds ratio = 2.94, 95%CI: 1.58–5.45) and in the recessive model (TT vs. TC+CC; pooled OR = 0.81, 95%CI: 0.66–0.99). Neither the homozygous model or heterozygous model was significant. Conclusion We identified a correlation between MMP-9 C1562T polymorphism and IS in the Chinese population; the TT+TC genotype may increase the risk of IS.

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Association between the polymorphism of MMP-1 gene with knee osteoarthritis risk: a meta-analysis

10.21203/rs.2.11414/v1 ◽

2019 ◽

Author(s):

Feifan Lu ◽

Qidong Zhang ◽

weiguo wang ◽

wanshou guo ◽

pei liu

Keyword(s):

Knee Osteoarthritis ◽

Web Of Science ◽

Meta Analysis ◽

Case Control ◽

Recessive Model ◽

Cochrane Library ◽

Matrix Metalloproteinase 1 ◽

Statistical Heterogeneity ◽

Different Populations ◽

Allele Model

Abstract Background: The existing studies on the association between polymorphisms of Matrix metalloproteinase-1 (MMP-1) (-1607 1G/2G) (rs1799750) polymorphism and the risk of knee osteoarthritis (OA, a complex multifactorial disease and a major degenerative form of arthritis) in different populations have yielded conflicting findings. Materials and Method: Literature search was performed in PubMed, Embase, Medline, Cochrane Library, Web of science, Google Scholar, CNKI, Wanfang database (last search update June 1st 2019), and assessing this association by calculating odds ratios with 95% confidence intervals. Subgroup analyses stratified by ethnicity were also conducted. Statistical heterogeneity was quantitatively evaluated by X2 test with the significance set P<0.10 or I2>50%. Result: Five case-control based studies (924 cases and 928 controls) were included. The results show that in Allele model (1G1G vs. 2G2G: OR =1.22, 95% CI: 0.72-1.76), Recessive model (2G2G vs 1G2G+1G1G: OR = 1.12, 95% CI: 0.70-2.15) and Dominant model (2G2G+1G2G vs 1G1G: OR = 1.14, 95%CI: 0.64-2.04). Conclusions: There is no association between the polymorphism of MMP-1 (-1607 1G/2G) (rs1799750) polymorphism with the risk of knee osteoarthritis.

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Analysis of the Association of Matrix Metalloproteinase-1 Gene Promoter (rs1799750) Polymorphism and Risk of Ovarian Cancer

International Journal of Gynecological Cancer ◽

10.1097/igc.0000000000000463 ◽

2015 ◽

Vol 25 (6) ◽

pp. 961-967 ◽

Cited By ~ 3

Author(s):

Lijie Wang ◽

Beihua Kong

Keyword(s):

Ovarian Cancer ◽

Cancer Risk ◽

Matrix Metalloproteinase ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Gene Promoter ◽

Case Control ◽

Ovarian Cancer Risk ◽

Case Control Studies ◽

Matrix Metalloproteinase 1

ObjectiveStudies investigating the association betweenmatrix metalloproteinase-1(MMP1) gene promoter 1607–base pair (bp) polymorphism and ovarian cancer risk have yielded conflicting results.MethodsWe therefore carried out a meta-analysis of 754 ovarian cancer cases and 1184 controls from 5 published case-control studies. The strength of the association betweenMMP11607-bp polymorphism and ovarian cancer susceptibility was calculated using pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs).ResultsThe results suggest that no statistically significant associations exist betweenMMP11607-bp polymorphisms and ovarian cancer risk in all 4 genetic models (2G2G vs 1G1G: OR, 1.08; 95% CI, 0.81–1.43;P= 0.23; 1G2G vs 1G1G: OR, 1.06; 95% CI, 0.82–1.36;P= 0.15; 1G2G + 2G2G vs 1G1G: OR, 1.05; 95% CI, 0.83–1.34;P= 0.16; 2G2G vs 1G1G + 1G2G: OR, 0.98; 95% CI, 0.80–1.20;P= 0.84).ConclusionsIn summary, this meta-analysis showed that theMMP11607-bp polymorphism is not associated with ovarian cancer risk.

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Lack of association between matrix metalloproteinase-1 gene rs1799750 polymorphism and osteoarthritis susceptibility: a meta-analysis

Bioscience Reports ◽

10.1042/bsr20181960 ◽

2019 ◽

Vol 39 (4) ◽

Cited By ~ 1

Author(s):

Lei Peng ◽

Jie Bin ◽

Yang-chao Ou ◽

Li-xin Zhu ◽

Ji-ping Lu

Keyword(s):

Gene Polymorphism ◽

Matrix Metalloproteinase ◽

Meta Analysis ◽

Promoter Polymorphism ◽

Case Control ◽

Recessive Model ◽

Dominant Model ◽

Case Control Studies ◽

Analysis Study ◽

Matrix Metalloproteinase 1

Abstract Background. A relationship between matrix metalloproteinase-1 (MMP-1)-1607 (rs1799750) gene polymorphism and osteoarthritis (OA) susceptibility was reported in the Bioscience Reports journal; however, these results were inconsistent. To evaluate the specific relationship, we used a meta-analysis study to clarify the controversy. Methods. The relevant articles were retrieved on 20 October 2018 from PubMed, Elsevier, Springer, Ebase (Ovid), and Google Scholar. The number of alleles and genotypes for MMP-1 was obtained. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the association between MMP-1-1607 (rs1799750) 1G/2G promoter polymorphism and OA, while the Egger’s test was used to assess heterogeneity among studies and publication bias. All statistical analyses were conducted using STATA 12.0 software. Results. A total of six case–control studies covering 1133 cases and 1119 controls were included in the final meta-analysis. There was no significant association between MMP-1-1607 1G/2G promoter polymorphism and OA in all genetic models (2G versus 1G: OR = 1.12, 95% CI = 0.78–1.60; 1G/2G versus 1G/1G: OR = 0.73, 95% CI = 0.32–1.67; 2G/2G versus 1G/1G: OR = 1.31, 95% CI = 0.57–2.98; the recessive model: OR = 1.23, 95% CI = 0.63-2.41; and the dominant model: OR = 1.25, 95% CI = 0.79–1.97). We obtained similar results for the subgroup analysis using ethnicity and type of disease. Conclusion. We systematically investigated the association between MMP-1-1607 (rs1799750) 1G/2G polymorphism and OA susceptibility; however, the results show no correlation.

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Association between the polymorphism of MMP-1 gene with knee osteoarthritis risk: a meta-analysis

10.21203/rs.2.11414/v2 ◽

2019 ◽

Author(s):

Feifan Lu ◽

Qidong Zhang ◽

weiguo wang ◽

wanshou guo ◽

pei liu

Keyword(s):

Knee Osteoarthritis ◽

Web Of Science ◽

Meta Analysis ◽

Recessive Model ◽

Cochrane Library ◽

Knee Oa ◽

Matrix Metalloproteinase 1 ◽

Statistical Heterogeneity ◽

Different Populations ◽

Allele Model

Abstract Background: The existing studies on the association between polymorphisms of Matrix metalloproteinase-1 (MMP-1) (-1607 1G/2G) (rs1799750) polymorphism and the risk of knee osteoarthritis (OA, a complex multifactorial disease and a major degenerative form of arthritis) in different populations have yielded conflicting findings. Method: Literature search was performed in PubMed, Embase, Medline, Cochrane Library, Web of science, Google Scholar, CNKI and Wanfang database(From January 1990 to June 2019), and assessing this association by calculating odds ratios with 95% confidence intervals. Subgroup analyses stratified by ethnicity were also conducted. Statistical heterogeneity was quantitatively evaluated by X2 test with the significance set P<0.10 or I2>50%. Result: Five case-control based studies (924 cases and 928 controls) were included. The results suggested that the MMP-1 (-1607 1G/2G) (rs1799750) gene polymorphisms were not associated with knee OA risk in all genetic models (Allele model OR =1.22, 95% CI: 0.72-1.76, p=0.615, Recessive model OR = 1.12, 95% CI: 0.70-2.15, p=0.486, and Dominant model OR = 1.14, 95%CI: 0.64-2.04, p=0.659, Figure 3-5) Conclusions: There is no association between the polymorphism of MMP-1 (-1607 1G/2G) (rs1799750) polymorphism with the risk of knee osteoarthritis, a large number of studies may be necessary to verify this association in different populations and environmental factors.

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Statistical meta-analysis to investigate the association between the Interleukin-6 (IL-6) gene polymorphisms and cancer risk

PLoS ONE ◽

10.1371/journal.pone.0247055 ◽

2021 ◽

Vol 16 (3) ◽

pp. e0247055

Author(s):

Md. Harun-Or-Roshid ◽

Md. Borqat Ali ◽

Jesmin ◽

Md. Nurul Haque Mollah

Keyword(s):

Cancer Risk ◽

Statistical Modeling ◽

Subgroup Analysis ◽

Gene Polymorphisms ◽

Meta Analysis ◽

Genome Wide Association Studies ◽

Cancer Risks ◽

Increased Risk ◽

Cancer Types ◽

Meta Analyses

A good number of genome-wide association studies (GWAS), including meta-analyses, reported that single nucleotide polymorphisms (SNPs) of the IL-6 gene are significantly associated with various types of cancer risks, though some other studies reported insignificant association with cancers, in the literature. These contradictory results may be due to variations in sample sizes and/or deficiency of statistical modeling. Therefore, an attempt is made to provide a more comprehensive understanding of the association between the IL-6 gene SNPs (rs1800795, rs1800796, rs1800797) and different cancer risks, giving the weight on a large sample size, including different cancer types and appropriate statistical modeling with the meta-dataset. In order to attain a more reliable consensus decision about the association between the IL-6 gene polymorphisms and different cancer risks, in this study, we performed a multi-case statistical meta-analysis based on the collected information of 118 GWAS studies comprising of 50053 cases and 65204 control samples. Results from this Meta-analysis indicated a significant association (p-value < 0.05) of the IL-6 gene rs1800796 polymorphism with an overall increased cancer risk. The subgroup analysis data based on cancer types exhibited significant association (p-value < 0.05) of the rs1800795 polymorphism with an overall increased risk of cervical, liver and prostate cancers; the rs1800796 polymorphism with lung, prostate and stomach cancers; and the rs1800797 polymorphism with cervical cancer. The subgroup analysis of ethnicity data showed a significant association (p-value < 0.05) of an overall cancer risk with the rs1800795 polymorphism for the African and Asian populations, the rs1800796 polymorphism for the Asian only and the rs1800797 polymorphism in the African population. Comparative discussion showed that our multi-case meta-analyses received more support than any previously reported individual meta-analysis about the association between the IL-6 gene polymorphisms and cancer risks. Results from this study, more confidently showed that the IL-6 gene SNPs (rs1800795, rs1800796 and rs1800797) in humans are associated with increased cancer risks. Therefore, these three polymorphisms of the IL-6 gene have the potential to be evaluated as a population based rapid, low-cost PCR prognostic biomarkers for different types of cancers diagnosis and research.

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Association Between The Polymorphism of MMP-1 Gene with Knee Osteoarthritis Risk: A Meta-Analysis

10.21203/rs.3.rs-51711/v1 ◽

2020 ◽

Author(s):

Feifan Lu ◽

Xiaowei Sun ◽

Weiguo Wang ◽

Qidong Zhang ◽

Wanshou Guo

Keyword(s):

Knee Osteoarthritis ◽

Web Of Science ◽

Meta Analysis ◽

Recessive Model ◽

Cochrane Library ◽

Knee Oa ◽

Matrix Metalloproteinase 1 ◽

Statistical Heterogeneity ◽

Different Populations ◽

Allele Model

Abstract Background: The existing studies on the association between polymorphisms of Matrix metalloproteinase-1 (MMP-1) (-1607 1G/2G) (rs1799750) polymorphism and the risk of knee osteoarthritis (OA, a complex multifactorial disease and a major degenerative form of arthritis) in different populations have yielded conflicting findings. Method: Literature search was performed in PubMed, Cochrane Library, Web of science, Google Scholar (From January 1990 to June 2019), and assessing this association by calculating odds ratios with 95% confidence intervals. Subgroup analyses stratified by ethnicity were also conducted. Statistical heterogeneity was quantitatively evaluated by X2 test with the significance set P<0.10 or I2>50%.Result: Five case-control based studies (924 cases and 928 controls) were included. The results suggested that the MMP-1 (-1607 1G/2G) (rs1799750) gene polymorphisms were not associated with knee OA risk in all genetic models (Allele model OR =1.22, 95% CI: 0.72-1.76, p=0.615, Recessive model OR = 1.12, 95% CI: 0.70-2.15, p=0.486, and Dominant model OR = 1.14, 95%CI: 0.64-2.04, p=0.659, Figure 3-5)Conclusions: There is no association between the polymorphism of MMP-1 (-1607 1G/2G) (rs1799750) polymorphism with the risk of knee osteoarthritis, a large number of studies may be necessary to verify this association in different populations and environmental factors.

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No Association between Estrogen Receptor-Β Rs4986938 and Cancer Risk: A Systematic Review and Meta-Analysis

Iranian Journal of Public Health ◽

10.18502/ijph.v48i5.1791 ◽

2019 ◽

Author(s):

Zhaofang LI ◽

Xiaoli YANG ◽

Rongqiang ZHANG ◽

, Dandan ZHANG ◽

Baorong LI ◽

...

Keyword(s):

Estrogen Receptor ◽

Cancer Risk ◽

Meta Analysis ◽

Additive Model ◽

Recessive Model ◽

Estrogen Receptor Β ◽

Cochrane Library ◽

Dominant Model ◽

Cancer Types ◽

Risk Of Cancer

Background: The association between estrogen receptor-β (ESR2) rs4986938 polymorphism and the risk of various types of cancer have been investigated in previous studies. However, the results remained disputable. Here, we conducted a meta-analysis to investigate the association between ESR2 rs4986938 polymorphism and the risk of cancer. Methods: We searched for relevant articles collected by the PubMed, EMBASE, and Cochrane library up to March 30, 2018. The association was assessed using Odds ratios (ORs) and 95% confidence intervals (CIs). Results: The meta-analysis involved a total of 23 studies in 20 papers, including 24,334 cases and 31,707 controls. No significant association was detected between the rs4986938 polymorphism and cancer risk in the additive model (A compared with G: OR=0.97, 95% CI=0.92-1.02, P=0.20), dominant model (AA+AG compared with GG: OR=0.96, 95% CI=0.93-1.03, P=1.00), recessive model (AA compared with AG + GG: OR=0.94, 95% CI=0.86-1.03, P=0.18), heterozygous model (AG compared with GG: OR=0.97, 95% CI=0.94-1.01, P=0.14), and homozygous model (AA compared with GG: OR=0.96, 95% CI=0.87-1.06, P=0.39). Results of subgroup analysis stratified by ethnicity and cancer types further validated the results. Conclusion: We found no evidence of an association between rs4986938 and the risk of overall cancer.

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