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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Cancer Epidemiol Biomarkers Prev. Author manuscript; available in PMC 2010 June 1.
Published in final edited form as:
PMCID: PMC2770800

No Association between Matrix Metalloproteinase (MMP)-1, -3, and -7 SNPs and Endometrial Cancer Risk


The matrix metalloproteinases (MMPs) function as regulators of the dynamic tissue remodeling that occurs in the endometrial lining of the uterus during the normal human menstrual cycle; dysregulation of the MMPs is thought to contribute to the development of both endometriosis and endometrial cancer (1). MMP-1 expression was found to be significantly higher in endometriotic lesions than in surrounding endometrium (2;3), while MMP-3 levels have been reported to be both lower (4) and higher (5) in women with endometriosis compared to women without. MMP-7 expression was found to be significantly higher in endometrial hyperplasia and adenocarcinomas than normal endometrium (6) and further, was associated with higher grade endometrial tumors (7), and both myometrial (6) and lymph node invasion (8). These three MMP genes are located on the negative strand of chromosome 11, and functional polymorphisms that influence their respective transcription levels have been identified for each (912). However, previous studies on MMP SNPs and endometrial cancer are sparse; two studies were found to have evaluated a single MMP-1 SNP, and results were inconsistent. Therefore, this comprehensive study of individual genetic variation across MMP-1, MMP-3, and MMP-7 was undertaken to evaluate associations with endometrial cancer susceptibility.

Materials and Methods

The Shanghai Endometrial Cancer Study (SECS) is a large, population-based case-control study that has been previously described (13;14). Briefly, cases were women diagnosed with endometrial cancer between January 1997 and December 2003, aged 30–69, identified from the Shanghai Cancer Registry. Controls were randomly selected from the Shanghai Resident Registry and frequency matched to cases in 5-year intervals. Of 1,458 identified eligible cases, in-person interviews were completed for 1,204 (82.6%). Reasons for nonparticipation included refusal (N=137, 9.4%), death before interview (N=66, 4.5%), inability to be located (N=37, 2.5%), and health or communication problems (N=14, 1.0%). Of eligible controls identified (1,629), in-person interviews were completed for 1,212 (74.4%). Reasons for nonparticipation included refusal (N=340, 20.9%), absence during the study period (N=61, 3.7%), and health or communication problems (N=16, 1.1%). Institutional review board approval was granted by relevant institutions in both China and the United States. Informed consent was obtained from each included participant. DNA samples were provided and available for 87.3% of cases (N=1,052) and 87.3% (N=1,058) of controls.

Haplotype tagging SNPs (htSNPs) were selected from Han Chinese data from the HapMap Project (15) using the Tagger program (16) to capture SNPs with a minimum minor allele frequency (MAF) of 0.05 in either MMP-1, MMP-3, or MMP-7 (± 5kb) with an r2 of 0.90 or greater. Known or potentially functional SNPs were forced into the htSNP selection process. For MMP-1, 17 SNPs were selected, with 14 successfully genotyped. For MMP-3, seven SNPs were selected, with six successfully genotyped. For MMP-7, 12 SNPs were selected, with 11 successfully genotyped. Genotyping was conducted using the Affymetrix Targeted Genotyping System (Affymetrix, Santa Clara, CA) (17) for 1,037 cases (98.6%) and 1,018 controls (96.2%).

Hardy-Weinberg equilibrium (HWE) was applied to test the observed and expected genotype frequencies for cases and controls (χ2-test). Associations between SNPs and covariates were evaluated with the χ2 test or t-test when appropriate. Covariates considered included age at diagnosis, education, age at menarche, age at menopause among postmenopausal women, menopausal status, number of pregnancies, oral contraceptive use, BMI, WHR, physical activity in the preceding decade, and first-degree family history of breast, colorectal, or endometrial cancer. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were determined by logistic regression using additive models that included adjustment for age and education. Dominant and recessive models were additionally employed when appropriate. Linkage disequilibrium was assessed by Haploview (18). All statistical tests were two-tailed, and p-values were considered to be statistically significant when ≤ 0.05.


Consistent with previous SECS analyses (13;14) and other epidemiologic studies, cases and controls included in the current study differed in regards to age at menarche, age at menopause, menopausal status, number of pregnancies, use of oral contraceptives, BMI and WHR, physical activity, and first degree family history of cancer (data not shown). SNPs included in this study are listed in Table 1; their order corresponds to the open reading frames of the genes on the negative strand of chromosome 11. Of the 31 polymorphisms genotyped, one was found not to be polymorphic in this study population (MMP-7 rs11568819) and thus not included in our analyses. No SNPs were found to deviate from HWE. Associations with endometrial cancer risk were calculated in additive effect models that included adjustment for age and education; further adjustment for BMI, number of pregnancies, menopausal status, or family history of cancer did not appreciably alter the effect estimates. No significant associations were observed. Two MMP-7 SNPs, rs17098318 and rs11568818, both tended to confer an increased, but non-significant, risk of endometrial cancer for homozygotes, in both additive and recessive models. Further, no SNPs were found to have effects that significantly differed by menopausal status. The linkage disequilibrium (LD) structure of these 30 SNPs is shown in Figure 1, and includes six haplotype blocks. Similar to single SNP analysis, no significant effects were observed in haplotype analysis of these MMP polymorphisms (data not shown).

Figure 1
LD Structure of 30 MMP-3, -1, and -7 SNPs, The Shanghai Endometrial Cancer Study
Table 1
MMP-3, -1, and -7 SNPs and Endometrial Cancer Risk, evaluated among 1,037 cases and 1,018 controls, The Shanghai Endometrial Cancer Study


Promoter polymorphisms in the matrix metalloproteinase (MMP) -1, -3, and -7 genes have been associated with altered susceptibility to cancer in human populations (17; 1930), although studies on endometrial cancer risk and MMP SNPs have been lacking. Two small studies evaluating MMP-1 -1607 1G/2G (rs1799750) and MMP-3 -1171 5A/6A (rs35068180 and rs3025059) and endometriosis found mixed results. No association for either SNP was seen among 56 cases and 71 controls (31), while the MMP-1 2G allele was found to confer an increased risk of endometriosis among 100 cases and 150 controls (32). Similarly, the MMP-1 -1607 2G allele was found to confer an increased risk of endometrial adenocarcinoma among 100 cases and 150 controls (33), while no difference was seen between 107 cases and 213 controls (34). Unfortunately, neither of these functional SNPs were genotyped in the current study. However, MMP-3 rs679620 was genotyped and shares moderate linkage disequilibrium with MMP-1 rs1799750 (D′=0.79, r2=0.60) (35); no association with endometrial cancer risk was observed. To our knowledge, no previous studies of MMP-3 or MMP-7 SNPs and endometrial cancer risk have been conducted. In this study, both of the functional promoter MMP-7 SNPs were genotyped. While MMP-7 -153 C/T (rs11568819) was not found to be polymorphic in this population, MMP-7 -181 A/G (rs11568818) and another promoter SNP in high LD (rs17098318, D′=1.0, r2=0.99) both seemed to confer an increased risk of endometrial cancer in homozygote carriers of the rare allele. This is similar to our findings for breast cancer risk among pre-menopausal women (17), and may indicate a real, but low prevalence association that the current study lacked adequate power to detect under recessive models. Given the size of our study population, this analysis had only 31% power to detect a recessive effect of an OR of 2.0 for a gene with a MAF of only 8%. However, for additive associations, we had greater than 92% power to detect an OR of 1.4 for a SNP with a MAF of 10%, greater than 93% power to detect an OR of 1.3 for a SNP with a MAF of 20%, and greater than 77% power to detect an OR of 1.2 for a SNP with a MAF of 30%. In summary, 30 haplotype tagging polymorphisms in MMP-1, -3, and -7 were evaluated among 1,037 endometrial cancer cases and 1,018 controls; none were found to be significantly associated with endometrial cancer risk.


We would like to thank Dr. Fan Jin for her contributions to implementing the study in Shanghai, Regina Courtney, Qing Wang, Dr. Shawn Levy, and the Vanderbilt Microarray Shared Resource for their contributions to the genotyping, and Brandy Venuti for her assistance in the preparation of this manuscript. The Vanderbilt Microarray Shared Resource is supported by the Vanderbilt-Ingram Cancer Center (P30 CA68485), the Vanderbilt Diabetes Research and Training Center (P60 DK20593), the Vanderbilt Digestive Disease Center (P30 DK58404), and the Vanderbilt Vision Center (P30 EY08126). This study would not have been possible without the support of the study participants and research staff of the Shanghai Endometrial Cancer Study. This work was supported by USPHS grant R01 CA92585 from the National Cancer Institute.


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