Matrix Metalloproteinase-1 and -9 Promoter Polymorphisms and Endometrial Carcinoma Risk in a Japanese Population

Sugimoto, Makoto; Yoshida, Shigeki; Kennedy, Stephen; Deguchi, Masashi; Ohara, Noriyuki; Maruo, Takeshi

doi:10.1016/j.jsgi.2006.07.001

Cited by 25 publications

(16 citation statements)

References 26 publications

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“…The C allele has been associated with a decreased risk of prostate cancer [13], and increased risks of squamous cell carcinoma of the lung [14], endometrial carcinoma [15], and colorectal cancer [16]. However, another study of prostate cancer found no association [17], as did two other studies for colorectal cancer [18,19], and one study of ovarian cancer [20].…”

Section: Introductionmentioning

confidence: 99%

MMP9 polymorphisms and breast cancer risk: a report from the Shanghai Breast Cancer Genetics Study

Beeghly–Fadiel

Lü

Shu

et al. 2010

Breast Cancer Res Treat

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Purpose In addition to tumor invasion and angiogenesis, matrix metalloproteinase (MMP)9 also contributes to carcinogenesis and tumor growth. Genetic variation that may influence MMP9 expression was evaluated among participants of the Shanghai Breast Cancer Genetics Study (SBCGS) for associations with breast cancer susceptibility. Methods In stage 1, 11 MMP9 SNPs were genotyped by the Affymetrix Targeted Genotyping System and/or the Affymetrix Genome-Wide Human SNP Array 6.0 among 4,227 SBCGS participants. One SNP was further genotyped using the Sequenom iPLEX MassARRAY platform among an additional 6,270 SBCGS participants. Associations with breast cancer risk were evaluated by odds ratios (OR) and 95% confidence intervals (CI) from logistic regression models that included adjustment for age, education, and genotyping stage when appropriate. Results In Stage 1, rare allele homozygotes for a promoter SNP (rs3918241) or a non-synonymous SNP (rs2274756, R668Q) tended to occur more frequently among breast cancer cases (p-value = 0.116 and 0.056, respectively). Given their high linkage disequilibrium (D′=1.0, r2=0.97), one (rs3918241) was selected for additional analysis. An association with breast cancer risk was not supported by additional Stage 2 genotyping. In combined analysis, no elevated risk of breast cancer among homozygotes was found (OR: 1.2, 95% CI: 0.8–1.8). Conclusions Common genetic variation in MMP9 was not found to be significantly associated with altered breast cancer susceptibility among participants of the Shanghai Breast Cancer Genetics Study.

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Section: Introductionmentioning

confidence: 99%

MMP9 polymorphisms and breast cancer risk: a report from the Shanghai Breast Cancer Genetics Study

Beeghly–Fadiel

Lü

Shu

et al. 2010

Breast Cancer Res Treat

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“…For example, a SNP in a regulatory region may have an influence on gene transcription, a SNP located in a RNA splice site may affect RNA splicing, a SNP in the 3'-untranslated region of a gene may have an effect on mRNA stability, and a SNP in the coding region may result in an amino acid substitution in the encoded protein. It is thought that SNPs contribute to interindividual variability in susceptibility to common diseases such as cancer [35,36]. So far, some published meta-analyses have confirmed that a number of SNPs are associated with increased or decreased PCa risk in different races, such as A49T in steroid-5-alpha-reductase, alpha polypeptide 2 (SRD5A2) gene [37], Gly388Arg in fibroblast growth factor receptor 4 (FGFR4) gene [38], -160C/A in E-cadherin (CDH1) gene [39], Val16Ala in manganese superoxide dismutase (MnSOD) gene [40], C677T in 5,10-methylenetetrahydrofolate reductase (MTHFR) gene [41].…”

Section: Discussionmentioning

confidence: 99%

Polymorphism Analysis of TRAIL Gene and Correlation TRAIL Expression in Prostate Cancer

Mi¹,

Zhu²,

Feng³

2011

Prostate Cancer - Original Scientific Reports and Case Studies

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“…Another Japanese study (endometrial cancer cases n = 107, controls n = 213) reported a nonsignificant decreased allele frequency in cases versus controls (64% versus 70%, χ 2 P = 0.13; ref. 50). This same study (50) investigated another SNP MMP9 −1562C > T (rs3918242), which is predicted to result in a loss of a repressor protein binding site.…”

Section: Mmp and Timp Expression In Endometrial Cancermentioning

confidence: 99%

The Use of Predictive or Prognostic Genetic Biomarkers in Endometrial and Other Hormone-Related Cancers: Justification for Extensive Candidate Gene Single Nucleotide Polymorphism Studies of the Matrix Metalloproteinase Family and their Inhibitors

O’Mara

Clements

Spurdle

2009

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Genome-wide association studies have accelerated the discovery of single nucleotide polymorphisms (SNP) associated with susceptibility to complex diseases, including many malignancies. The matrix metalloproteinase (MMP) family of proteases are involved in many cell processes, most notably the degradation of the extracellular matrix, and differences in gene and protein expression have been reported to be associated with many cancers. Surprisingly, none of the SNPs located within these genes have been identified to be associated with cancer in the genome-wide association studies published to date. This may be in part due to the proportion and the tagging efficiency of MMP SNPs covered by high-throughput genotyping chips. This review will provide an overview of current evidence for MMPs and associated SNPs in endometrial and other hormone-related cancers, to provide justification for the further detailed studies of MMP SNPs as cancer markers. (Cancer Epidemiol Biomarkers Prev 2009;18(9):2352-65)

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Matrix Metalloproteinase-1 and -9 Promoter Polymorphisms and Endometrial Carcinoma Risk in a Japanese Population

Abstract: These results suggest that the MMP-9 -1562 C/T polymorphism may be associated with susceptibility to endometrioid carcinoma in the Japanese population.

Cited by 25 publications

References 26 publications

MMP9 polymorphisms and breast cancer risk: a report from the Shanghai Breast Cancer Genetics Study

MMP9 polymorphisms and breast cancer risk: a report from the Shanghai Breast Cancer Genetics Study

Polymorphism Analysis of TRAIL Gene and Correlation TRAIL Expression in Prostate Cancer

The Use of Predictive or Prognostic Genetic Biomarkers in Endometrial and Other Hormone-Related Cancers: Justification for Extensive Candidate Gene Single Nucleotide Polymorphism Studies of the Matrix Metalloproteinase Family and their Inhibitors

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