Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Subscribers
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • In Vivo
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
    • 2008 Nobel Laureates
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Genomics & Proteomics

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Anticancer Research
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Genomics & Proteomics
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Anticancer Research

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Subscribers
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • In Vivo
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
    • 2008 Nobel Laureates
  • About Us
    • General Policy
    • Contact
  • Visit us on Facebook
  • Follow us on Linkedin
Research ArticleExperimental Studies
Open Access

Association of Matrix Metalloproteinase-2 Genotypes With Prostate Cancer Risk

PO-HAN LI, CHENG-HSI LIAO, WEN-CHIN HUANG, WEN-SHIN CHANG, HSI-CHIN WU, SHIH-WEI HSU, KAI-YUAN CHEN, ZHI-HONG WANG, TE-CHUN HSIA, DA-TIAN BAU and CHIA-WEN TSAI
Anticancer Research January 2023, 43 (1) 343-349; DOI: https://doi.org/10.21873/anticanres.16169
PO-HAN LI
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.;
2Department of Anesthesiology, China Medical University Hospital, Taichung, Taiwan, R.O.C.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
CHENG-HSI LIAO
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.;
3Division of Urology, Department of Surgery, Taichung Armed Forces General Hospital, Taichung, Taiwan, R.O.C.;
4National Defense Medical Center, Taipei, Taiwan, R.O.C.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
WEN-CHIN HUANG
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.;
5Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
WEN-SHIN CHANG
5Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
HSI-CHIN WU
5Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
SHIH-WEI HSU
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.;
4National Defense Medical Center, Taipei, Taiwan, R.O.C.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
KAI-YUAN CHEN
6Department of Neurosurgery, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan, R.O.C.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
ZHI-HONG WANG
7Department of Food Nutrition and Health Biotechnology, Asia University, Taichung, Taiwan, R.O.C.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
TE-CHUN HSIA
5Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DA-TIAN BAU
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.;
4National Defense Medical Center, Taipei, Taiwan, R.O.C.;
8Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: artbau2{at}gmail.com
CHIA-WEN TSAI
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.;
4National Defense Medical Center, Taipei, Taiwan, R.O.C.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: wenwen816{at}gmail.com
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Background/Aim: Prostate cancer is one of the most commonly diagnosed malignancies among males, especially in Western populations. Matrix metalloproteinase-2 (MMP-2) plays a critical role in extracellular regulation and metastasis. However, its genotypes have seldom been examined among patients with prostate cancer (PCa). Therefore, the purpose of the study was to evaluate the association of genotypes at MMP-2 promoter −1306 (rs243865) and −735 (rs2285053) with PCa risk in a Taiwanese cohort. Materials and Methods: The profiles of MMP-2 rs243865 and rs2285053 genotypes were examined among 218 PCa patients and 436 healthy controls by polymerase chain reaction-restriction fragment length polymorphism methodologies. Results: The percentages of wild-type CC, and variant CT and TT genotypes on MMP-2 rs243865 were 88.5, 10.6, and 0.9% in the PCa case group and 85.6, 13.5, and 0.9% in the control group, respectively (p for trend=0.5544). The allelic frequency distribution showed that the variant T allele at MMP-2 rs24386 5 was not associated with PCa risk (p=0.3250). As for MMP-2 rs2285053, the results were also non-significant. In addition, there was no association between the genotypes of MMP-2 rs243865 or rs2285053 with age or smoking status on PCa risk. Conclusion: rs11568818 and rs11568819 at MMP-2 promoter region played minor roles in determining individual PCa risk.

Key Words:
  • Genotype
  • MMP-2
  • polymorphism
  • prostate cancer

Prostate cancer (PCa) is the second most prevalent malignancy, and the fifth leading death-causing cancer among males worldwide, with about 1,414,000 newly diagnosed cases and 375,304 deaths in 2020 (1). According to global cancer statistics, PCa is the most frequently diagnosed cancer in 112 countries, and the leading death-causing malignancy in 48 countries including USA (2). According to world cancer statistics, PCa cases are predicted to continue to increase due to the trend of global aging (3). From the epidemiological viewpoint, black race, family cancer history, and aging, are three most well-known risk factors for PCa (4). In addition, fitness (5), diabetes mellitus (6), obesity (7), risky diet (8), and over-supplementation of vitamin E (9) may also contribute to the etiology of PCa. However, lack of targets in PCa therapy urge the identification of genetic markers.

The extracellular matrix (ECM) is a meshwork of crosslinked macromolecules that form a dynamic scaffold outside of the cells. It provides homeostasis of the micro-environment, and its imbalances may associate with cancer progression and metastasis (10, 11). Noticeably, matrix metalloproteinases (MMPs, also named matrix metallopeptidases or matrixins) play a critical role in tissue remodeling, which is associated with multiple physiological or pathological processes such as angiogenesis, cirrhosis, arthritis, and metastasis via their degradation of the ECM components (11-13). In literature, MMP-2 has been shown to closely relate to the metastatic behavior of tumors (14-17). In addition, mounting evidence has shown that MMP-2 over-expression was associated with higher risk of metastasis among various types of cancer (18-23).

MMP-2 is located on chromosome 16q21. This endopeptidase is expressed in a variety of tissues throughout the body (24-26). One of the main functions of MMP-2 is to digest type IV collagen, the major constituent of the cell membrane (27). In literature, it has been reported that MMP-2 rs243865 and rs2285053 may affect its mRNA and protein expression levels, leading to an increase in the metastatic potential of several types of cancer, such as breast, esophageal, colorectal, oral cancer, and leukemia (28-32). In 2014, MMP-2 rs243865 genotypes were first investigated for their association with PCa in Turkey (33). In that study, 61 PCa patients and 46 healthy subjects were examined for their MMP-2 rs243865 genotypes. The MMP-2 rs243865 CT genotypes were found to be 2.17 times more frequent in the PCa patient group than in the control group without statistical significance (p=0.149) (33). Furthermore, Adabi et al. examined the genetic contribution of MMP-2 rs243865 to PCa in Iran in 2015. They recruited 139 benign prostatic hyperplasia patients as controls and found no association between MMP-2 rs243865 polymorphism and PCa risk (34). In 2018, Bialkowska et al. reported that there is no positive association between MMP-2 rs243865 genotypes and PCa risk (35). In that study, they recruited 197 healthy men and 197 PCa patients from Poland. Evidence for the association of MMP-2 rs2285053 genotypes with cancers is inconclusive, and there is none about PCa (36, 37). Another study investigated 150 patients with cervical cancer and 120 healthy individuals in China and reported that MMP-2 rs2285053 genotypes were associated with cervical cancer susceptibility (36). Also, T allele in MMP-2 rs2285053 were associated with reduced risk of breast cancer (37).

According to the above information, we aimed at evaluating the association of MMP-2 rs243865 and rs2285053 genotypes with PCa risk in a representative (case:control=436:218) Taiwanese population for the first time.

Materials and Methods

PCa study population. The current study was approved and supervised by the IRB of China Medical University Hospital (DMR104-IRB-158). All the research protocols were conducted according to the principles of the Declaration of Helsinki. The 436 healthy controls were matched according to age and sex from the Health Examination Cohort of China Medical University Hospital by two folds in sample size of the PCa cases (n=218). The inclusion and exclusion criteria of sampling have been published in our previous papers (38, 39). Some demographic characteristics for all the participants in this study are summarized and compared in Table I.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table I.

Demographics of the prostate cancer cases and control subjects.

MMP-2 rs243865 and rs2285053 genotyping. DNA was extracted from the whole blood of each participant as previously published (40-42). In the present study, the profiles of MMP-2 rs243865 and rs2285053 genotypes among 218 PCa and 436 controls were determined by using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methodology. The sequences of forward and reverse primers for MMP-2 rs243865 are: 5′-CTTCCTAGGCTGGTCCTTACTGA-3′ and 5′-CTGAGACCTGAAGAGCTAAAGAGCT-3′, and those for MMP-2 rs2285053 are 5′-GGATTCTTGGCTTGGCGCAGGA-3′ and 5′-GGGGGCTGGGTAAAATGAGGCTG-3′. The primers for MMP-2 rs243865 and rs2285053 genotyping are the same as we have previously published (42, 43). The PCR condition was set as: 5 min initial step at 94°C; 40 cycles of 94°C for 30 s, 55°C for 30 s, and 72°C for 30 s; and a final extension step at 72°C for 10 min. Then, the PCR adducts were subjected to full digestion by Xsp I (for MMP-2 rs243865) and Hinf I (for MMP-2 rs2285053) overnight. The profiles of MMP-2 rs243865 and rs2285053 of each sample were identified by 3% agarose gel electrophoresis and imagined under UVC irradiation.

MMP-2 rs243865 and rs2285053 statistical analysis. The comparison of the ages between the PCa patient and control groups is presented as the mean plus standard deviation (SD), and unpaired Student’s t-test was used. The Pearson’s chi-square or Fisher exact test was used for the evaluation of the associations of MMP-2 rs243865 and rs2285053 genotypes, and the significant associations were also evaluated as odds ratios (ORs) and 95% confidence intervals (CIs). Results were considered statistically significant at p-value <0.05.

Results

Comparison of selected demographics between the PCa patient and control groups. We stratified the 218 PCa cases and 436 controls according to their age and found no difference in the distribution of younger (<50-years-old) or elder (350 years old) age among the PCa cases and controls. Furthermore, there is no difference in the distribution of ever smokers or non-smokers between the PCa case and control groups. Moreover, 7.8% and 1.8% of the PCa patients had first- and second-degree relatives suffering from any type of cancer, respectively, whereas only 1.1% and 0.5% of the controls, respectively had a family history of the disease (Table I). This difference was found to be significant (p<0.001).

Association of MMP-2 rs243865 and rs2285053 genotypes and PCa risk. The physical map of MMP-2 rs243865 and rs2285053 is shown in Figure 1. The genotypic frequency of MMP-2 rs243865 and rs2285053 in the control group fitted well with the Hardy-Weinberg equilibrium (p=0.1357 and 0.1511 for MMP-2 rs243865 and rs2285053, respectively) (Table II). The genotypic frequency of MMP-2 rs243865 was not differentially distributed between the PCa patient and control groups (p for trend=0.5544) (Table II, top panel). In detail, the CT and TT at MMP-2 rs243865 were not associated with any altered risk for PCa (OR=0.75 and 0.97, 95%CI=0.45-1.26 and 0.18-5.32, p=0.3366 and 1.0000, respectively) (Table II, top panel). In the dominant model, combined CT and TT genotypes conferred no altered risk for PCa (OR=0.77, 95%CI=0.47-1.26, p=0.3514) (Table II, top panel). As for MMP-2 rs2285053, the genotypic frequency was not differentially distributed between the PCa patient and control groups (p for trend=0.7464) (Table II, bottom panel). In detail, the CT and TT at MMP-2 rs2285053 were not associated with any altered risk for PCa (OR=1.11 and 1.25, 95%CI=0.77-1.59 and 0.60-2.63, p=0.6340 and 0.6913, respectively) (Table II, bottom panel). In the dominant model, combined CT and TT genotypes conferred no altered risk for PCa (OR=1.13, 95%CI=0.80-1.59, p=0.5398) (Table II, bottom panel).

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Physical map of MMP-2 rs243865 and rs2285053 polymorphic sites.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table II.

Genotypic frequency distributions of matrix metalloproteinase-2 rs243865 and rs2285053 among the prostate cases and healthy controls.

Association of MMP-2 rs243865 and rs2285053 allelic frequencies and PCa risk. The results of the allelic analysis showed that the variant T allele at MMP-2 rs243865 was not significantly associated with PCa risk (OR=0.79, 95%CI=0.50-1.26, p=0.3250). In detail, the distribution of T allele frequencies was not significantly different (7.7% and 6.2%) in the healthy control and PCa case groups, respectively (Table III). As for MMP-2 rs2285053, the results of the allelic analysis showed that the variant T allele was not significantly associated with PCa risk (OR=1.12, 95%CI=0.84-1.50, p=0.4291). In detail, the distribution of T allele frequencies was not significantly different (18.8% and 20.6%) in the healthy control and PCa case groups, respectively (Table III).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table III.

Allelic frequencies for matrix metalloproteinase-2 rs243865 and rs2285053 polymorphisms among the prostate cases and healthy controls.

Discussion

The incidence of PCa has been increasing in Taiwan since 1979 (44). In the present study, the contribution of MMP-2 rs243865 and rs2285053 genotypes to PCa susceptibility among males in Taiwan was firstly investigated. According to the literature, MMP-2 is responsible for regulating the ECM contents and closely relates to the metastatic behaviors of a panel of cancers. MMP-2 rs243865 T allele has also been associated with elevated PCa risk in a meta-analysis in 2017 (45).

To our surprise, the T allele of MMP-2 rs243865 was not a contributor of personal PCa susceptibility (Table II and Table III). On the contrary, it seems to be a protective factor (Table II). To the best of our knowledge, the current study is the first to reveal the contribution of MMP-2 promoter genotypes to PCa in Taiwan. When comparing the findings of Weng’s and ours, our samples are more genetically conserved (all Taiwanese) and representative (case:control=218:436). They collected 6 reports from USA, Brazil, India, Turkey, and Iran (45). had a smaller sample size (with the exception of that from the USA), not larger than 200 controls and 200 cases. In the USA, they used mixed ethnicities for genotyping investigation (45). Therefore, the difference in the genetic patterns and the small sample size may have caused the different results and conclusion of this study with our own.

The minor allelic frequencies of MMP-2 rs243865 and rs2285053 were 7.7% and 18.8% in our study (Table III), very similar to those of 5.5% and 24.2% in East Asian as seen on NCBI (https://www.ncbi.nlm.nih.gov/snp/rs243865 and https://www.ncbi.nlm.nih.gov/snp/rs2285053).

We have also examined the associations of MMP-2 rs243865 and rs2285053 genotypes with age and smoking behaviors. There was no difference in the distributions of MMP-2 rs243865 or rs2285053 genotypes among PCa patients and controls stratified by younger (<50-years-old) or elder (350-years-old) (data not shown). In addition, there was no difference in the distributions of MMP-2 rs243865 or rs2285053 genotypes among PCa patients and controls stratified by their smoking behavior (data not shown). Unfortunately, clinical data, such as metastatic status and survival time, were not available for analysis. We now aim to collect fresh samples from PCa patients for genotype-phenotype analysis. It has been shown many times that MMP-2 plays a critical role in PCa cell and animal models; however, no report has directly provided evidence that MMP-2 genotypes may be involved in the etiology of PCa (22, 23).

In 2020, Kiani et al. reported that the frequency of MMP-2 promoter −1575 A/A+A/G genotypes was higher in PCa-patients with diabetes mellitus (p=0.003) and in smokers (p=0.005) and was associated with an elevated risk of PCa (46). This result suggested that MMP-2 polymorphic sites, other than the commonly studied ones (such as rs243865 and rs2285053) should be evaluated. Our results do not support the hypothesis of Weng’s meta-analysis reporting that MMP-2 rs243865 T allele was associated with an elevated PCa risk (45). On the contrary, our results are more consistent with the hypothesis of Zhou’s meta-analysis indicating that MMP-2 rs243865 genotypes are not associated with PCa risk (47). Although the current evidence showed that MMP-2 rs243865 genotypes seem not to contribute to the determination of personal PCa susceptibility; they may contribute to the prediction of metastasis and prognosis of PCa, which have not been well-studied. In addition, it is not exclusive that other MMP-2 polymorphic sites may serve as novel PCa markers for diagnosis and/or prognosis. The role of MMP-2 rs243865 and rs2285053 genotypes in PCa should be validated in larger and multiple populations.

In conclusion, this study examined the genotypic patterns of MMP-2 rs243865 and rs2285053 among Taiwanese and revealed that neither MMP-2 rs243865 nor rs2285053 was associated with personal susceptibility to PCa. Further studies with larger and multiple populations are needed to validate the current findings.

Acknowledgements

The Authors are grateful to Yu-Hsin Lin, Yu-Ting Chin and Tai-Lin Huang for their excellent technical assistance. All the participants in this study are appreciated. The Authors appreciate the Tissuebank of China Medical University Hospital for their excellent help in sample collection. This study was supported with grants from Taichung Armed Forces General Hospital (TCAFGH-D-110019) and China Medical University Hospital (DMR-112-167). The funders had no role in the study design, data collection and analysis, decision to publish or preparation of the manuscript.

Footnotes

  • Authors’ Contributions

    Research design: Li PH, Liao CH, and Huang WC; patient and questionnaire summary: Wu HC, Liao CH, and Hsu SW; experimental work: Tsai CW, Wang ZH and Chang WS; statistical analysis: Chen KY, Hsia TC and Li PH; article writing: Tsai CW and Bau DT; manuscript preparation and discussing: Li PH, Liao CH, Huang WC, Chang WS, Wu HC, Hsu SW, Chen KY, Hsia TC, Wang ZH, Tsai CW and Bau DT.

  • Conflicts of Interest

    The Authors declare no conflicts of interest regarding this study.

  • Received November 7, 2022.
  • Revision received November 15, 2022.
  • Accepted November 16, 2022.
  • Copyright © 2023 The Author(s). Published by the International Institute of Anticancer Research.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) 4.0 international license (https://creativecommons.org/licenses/by-nc-nd/4.0).

References

  1. ↵
    1. Wang L,
    2. Lu B,
    3. He M,
    4. Wang Y,
    5. Wang Z and
    6. Du L
    : Prostate cancer incidence and mortality: Global status and temporal trends in 89 countries from 2000 to 2019. Front Public Health 10: 811044, 2022. PMID: 35252092. DOI: 10.3389/fpubh.2022.811044
    OpenUrlCrossRefPubMed
  2. ↵
    1. Sung H,
    2. Ferlay J,
    3. Siegel RL,
    4. Laversanne M,
    5. Soerjomataram I,
    6. Jemal A and
    7. Bray F
    : Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3): 209-249, 2021. PMID: 33538338. DOI: 10.3322/caac.21660
    OpenUrlCrossRefPubMed
  3. ↵
    1. Culp MB,
    2. Soerjomataram I,
    3. Efstathiou JA,
    4. Bray F and
    5. Jemal A
    : Recent global patterns in prostate cancer incidence and mortality rates. Eur Urol 77(1): 38-52, 2020. PMID: 31493960. DOI: 10.1016/j.eururo.2019.08.005
    OpenUrlCrossRefPubMed
  4. ↵
    1. Center MM,
    2. Jemal A,
    3. Lortet-Tieulent J,
    4. Ward E,
    5. Ferlay J,
    6. Brawley O and
    7. Bray F
    : International variation in prostate cancer incidence and mortality rates. Eur Urol 61(6): 1079-1092, 2012. PMID: 22424666. DOI: 10.1016/j.eururo.2012.02.054
    OpenUrlCrossRefPubMed
  5. ↵
    1. Reiter-Brennan C,
    2. Dzaye O,
    3. Al-Mallah MH,
    4. Dardari Z,
    5. Brawner CA,
    6. Lamerato LE,
    7. Keteyian SJ,
    8. Ehrman JK,
    9. Blaha MJ,
    10. Visvanathan K and
    11. Marshall CH
    : Fitness and prostate cancer screening, incidence, and mortality: Results from the Henry Ford Exercise Testing (FIT) Project. Cancer 127(11): 1864-1870, 2021. PMID: 33561293. DOI: 10.1002/cncr.33426
    OpenUrlCrossRefPubMed
  6. ↵
    1. Cai H,
    2. Xu Z,
    3. Xu T,
    4. Yu B and
    5. Zou Q
    : Diabetes mellitus is associated with elevated risk of mortality amongst patients with prostate cancer: a meta-analysis of 11 cohort studies. Diabetes Metab Res Rev 31(4): 336-343, 2015. PMID: 25066306. DOI: 10.1002/dmrr.2582
    OpenUrlCrossRefPubMed
  7. ↵
    1. Allott EH,
    2. Masko EM and
    3. Freedland SJ
    : Obesity and prostate cancer: weighing the evidence. Eur Urol 63(5): 800-809, 2013. PMID: 23219374. DOI: 10.1016/j.eururo.2012.11.013
    OpenUrlCrossRefPubMed
  8. ↵
    1. Peisch SF,
    2. Van Blarigan EL,
    3. Chan JM,
    4. Stampfer MJ and
    5. Kenfield SA
    : Prostate cancer progression and mortality: a review of diet and lifestyle factors. World J Urol 35(6): 867-874, 2017. PMID: 27518576. DOI: 10.1007/s00345-016-1914-3
    OpenUrlCrossRefPubMed
  9. ↵
    1. Klein EA,
    2. Thompson IM Jr.,
    3. Tangen CM,
    4. Crowley JJ,
    5. Lucia MS,
    6. Goodman PJ,
    7. Minasian LM,
    8. Ford LG,
    9. Parnes HL,
    10. Gaziano JM,
    11. Karp DD,
    12. Lieber MM,
    13. Walther PJ,
    14. Klotz L,
    15. Parsons JK,
    16. Chin JL,
    17. Darke AK,
    18. Lippman SM,
    19. Goodman GE,
    20. Meyskens FL Jr. and
    21. Baker LH
    : Vitamin E and the risk of prostate cancer: the Selenium and Vitamin E Cancer Prevention Trial (SELECT). JAMA 306(14): 1549-1556, 2011. PMID: 21990298. DOI: 10.1001/jama.2011.1437
    OpenUrlCrossRefPubMed
  10. ↵
    1. Pickup MW,
    2. Mouw JK and
    3. Weaver VM
    : The extracellular matrix modulates the hallmarks of cancer. EMBO Rep 15(12): 1243-1253, 2014. PMID: 25381661. DOI: 10.15252/embr.201439246
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Woessner JF Jr.
    : Matrix metalloproteinases and their inhibitors in connective tissue remodeling. FASEB J 5(8): 2145-2154, 1991. PMID: 1850705.
    OpenUrlCrossRefPubMed
    1. Murphy G and
    2. Docherty AJ
    : The matrix metalloproteinases and their inhibitors. Am J Respir Cell Mol Biol 7(2): 120-125, 1992. PMID: 1497900. DOI: 10.1165/ajrcmb/7.2.120
    OpenUrlCrossRefPubMed
  12. ↵
    1. Singh RD,
    2. Haridas N,
    3. Patel JB,
    4. Shah FD,
    5. Shukla SN,
    6. Shah PM and
    7. Patel PS
    : Matrix metalloproteinases and their inhibitors: correlation with invasion and metastasis in oral cancer. Indian J Clin Biochem 25(3): 250-259, 2010. PMID: 21731196. DOI: 10.1007/s12291-010-0060-8
    OpenUrlCrossRefPubMed
  13. ↵
    1. Kesanakurti D,
    2. Chetty C,
    3. Dinh DH,
    4. Gujrati M and
    5. Rao JS
    : Role of MMP-2 in the regulation of IL-6/Stat3 survival signaling via interaction with α5β1 integrin in glioma. Oncogene 32(3): 327-340, 2013. PMID: 22349830. DOI: 10.1038/onc.2012.52
    OpenUrlCrossRefPubMed
    1. Wu W,
    2. Gao H,
    3. Li X,
    4. Peng S,
    5. Yu J,
    6. Liu N,
    7. Zhan G,
    8. Zhu Y,
    9. Wang K and
    10. Guo X
    : β-hCG promotes epithelial ovarian cancer metastasis through ERK/MMP2 signaling pathway. Cell Cycle 18(1): 46-59, 2019. PMID: 30582718. DOI: 10.1080/15384101.2018.1558869
    OpenUrlCrossRefPubMed
    1. Li Y,
    2. Song T,
    3. Chen Z,
    4. Wang Y,
    5. Zhang J and
    6. Wang X
    : Pancreatic stellate cells activation and matrix metallopeptidase 2 expression correlate with lymph node metastasis in pancreatic carcinoma. Am J Med Sci 357(1): 16-22, 2019. PMID: 30466735. DOI: 10.1016/j.amjms.2018.10.001
    OpenUrlCrossRefPubMed
  14. ↵
    1. Liu SQ,
    2. Xu CY,
    3. Wu WH,
    4. Fu ZH,
    5. He SW,
    6. Qin MB and
    7. Huang JA
    : Sphingosine kinase 1 promotes the metastasis of colorectal cancer by inducing the epithelial mesenchymal transition mediated by the FAK/AKT/MMPs axis. Int J Oncol 54(1): 41-52, 2019. PMID: 30365116. DOI: 10.3892/ijo.2018.4607
    OpenUrlCrossRefPubMed
  15. ↵
    1. Mendes O,
    2. Kim HT and
    3. Stoica G
    : Expression of MMP2, MMP9 and MMP3 in breast cancer brain metastasis in a rat model. Clin Exp Metastasis 22(3): 237-246, 2005. PMID: 16158251. DOI: 10.1007/s10585-005-8115-6
    OpenUrlCrossRefPubMed
    1. Qin L,
    2. Liao L,
    3. Redmond A,
    4. Young L,
    5. Yuan Y,
    6. Chen H,
    7. O’Malley BW and
    8. Xu J
    : The AIB1 oncogene promotes breast cancer metastasis by activation of PEA3-mediated matrix metalloproteinase 2 (MMP2) and MMP9 expression. Mol Cell Biol 28(19): 5937-5950, 2008. PMID: 18644862. DOI: 10.1128/MCB.00579-08
    OpenUrlAbstract/FREE Full Text
    1. Kuo HY,
    2. Huang YS,
    3. Tseng CH,
    4. Chen YC,
    5. Chang YW,
    6. Shih HM and
    7. Wu CW
    : PML represses lung cancer metastasis by suppressing the nuclear EGFR-mediated transcriptional activation of MMP2. Cell Cycle 13(19): 3132-3142, 2014. PMID: 25486572. DOI: 10.4161/15384101.2014.949212
    OpenUrlCrossRefPubMed
    1. Wu D,
    2. Deng S,
    3. Li L,
    4. Liu T,
    5. Zhang T,
    6. Li J,
    7. Yu Y and
    8. Xu Y
    : TGF-β1-mediated exosomal lnc-MMP2-2 increases blood-brain barrier permeability via the miRNA-1207-5p/EPB41L5 axis to promote non-small cell lung cancer brain metastasis. Cell Death Dis 12(8): 721, 2021. PMID: 34285192. DOI: 10.1038/s41419-021-04004-z
    OpenUrlCrossRefPubMed
  16. ↵
    1. Chen Q,
    2. Zhao X,
    3. Zhang H,
    4. Yuan H,
    5. Zhu M,
    6. Sun Q,
    7. Lai X,
    8. Wang Y,
    9. Huang J,
    10. Yan J and
    11. Yu J
    : MiR-130b suppresses prostate cancer metastasis through down-regulation of MMP2. Mol Carcinog 54(11): 1292-1300, 2015. PMID: 25154741. DOI: 10.1002/mc.22204
    OpenUrlCrossRefPubMed
  17. ↵
    1. Taghizadeh S,
    2. Soheili ZS,
    3. Sadeghi M,
    4. Samiei S,
    5. Ranaei Pirmardan E,
    6. Kashanian A,
    7. Zakeri F,
    8. Latifi-Navid H and
    9. Shams Najafabadi H
    : sFLT01 modulates invasion and metastasis in prostate cancer DU145 cells by inhibition of VEGF/GRP78/MMP2&9 axis. BMC Mol Cell Biol 22(1): 30, 2021. PMID: 34011277. DOI: 10.1186/s12860-021-00367-5
    OpenUrlCrossRefPubMed
  18. ↵
    1. Turner RJ and
    2. Sharp FR
    : Implications of MMP9 for blood brain barrier disruption and hemorrhagic transformation following ischemic stroke. Front Cell Neurosci 10: 56, 2016. PMID: 26973468. DOI: 10.3389/fncel.2016.00056
    OpenUrlCrossRefPubMed
    1. Ko HS,
    2. Park BJ,
    3. Choi SK,
    4. Kang HK,
    5. Kim A,
    6. Kim HS,
    7. Park IY and
    8. Shin JC
    : STAT3 and ERK signaling pathways are implicated in the invasion activity by oncostatin M through induction of matrix metalloproteinases 2 and 9. Yonsei Med J 57(3): 761-768, 2016. PMID: 26996579. DOI: 10.3349/ymj.2016.57.3.761
    OpenUrlCrossRefPubMed
  19. ↵
    1. Mohamed HG,
    2. Idris SB,
    3. Mustafa M,
    4. Ahmed MF,
    5. Åstrøm AN,
    6. Mustafa K and
    7. Ibrahim SO
    : Influence of type 2 diabetes on prevalence of key periodontal pathogens, salivary matrix metalloproteinases, and bone remodeling markers in sudanese adults with and without chronic periodontitis. Int J Dent 2016: 6296854, 2016. PMID: 26989414. DOI: 10.1155/2016/6296854
    OpenUrlCrossRefPubMed
  20. ↵
    1. Monaco S,
    2. Sparano V,
    3. Gioia M,
    4. Sbardella D,
    5. Di Pierro D,
    6. Marini S and
    7. Coletta M
    : Enzymatic processing of collagen IV by MMP-2 (gelatinase A) affects neutrophil migration and it is modulated by extracatalytic domains. Protein Sci 15(12): 2805-2815, 2006. PMID: 17088321. DOI: 10.1110/ps.062430706
    OpenUrlCrossRefPubMed
  21. ↵
    1. Ye S
    : Polymorphism in matrix metalloproteinase gene promoters: implication in regulation of gene expression and susceptibility of various diseases. Matrix Biol 19(7): 623-629, 2000. PMID: 11102751. DOI: 10.1016/s0945-053x(00)00102-5
    OpenUrlCrossRefPubMed
    1. Groblewska M,
    2. Mroczko B,
    3. Kozlowski M,
    4. Niklinski J,
    5. Laudanski J and
    6. Szmitkowski M
    : Serum matrix metalloproteinase 2 and tissue inhibitor of matrix metalloproteinases 2 in esophageal cancer patients. Folia Histochem Cytobiol 50(4): 590-598, 2012. PMID: 23264224. DOI: 10.5603/20327
    OpenUrlCrossRefPubMed
    1. Kapral M,
    2. Wawszczyk J,
    3. Jurzak M,
    4. Dymitruk D and
    5. Weglarz L
    : Evaluation of the expression of metalloproteinases 2 and 9 and their tissue inhibitors in colon cancer cells treated with phytic acid. Acta Pol Pharm 67(6): 625-629, 2010. PMID: 21229878.
    OpenUrlPubMed
    1. Patel BP,
    2. Shah PM,
    3. Rawal UM,
    4. Desai AA,
    5. Shah SV,
    6. Rawal RM and
    7. Patel PS
    : Activation of MMP-2 and MMP-9 in patients with oral squamous cell carcinoma. J Surg Oncol 90(2): 81-88, 2005. PMID: 15844188. DOI: 10.1002/jso.20240
    OpenUrlCrossRefPubMed
  22. ↵
    1. Lin CM,
    2. Zeng YL,
    3. Xiao M,
    4. Mei XQ,
    5. Shen LY,
    6. Guo MX,
    7. Lin ZY,
    8. Liu QF and
    9. Yang T
    : The relationship between MMP-2 −1306C>T and MMP-9 −1562C>T polymorphisms and the risk and prognosis of T-cell acute lymphoblastic leukemia in a Chinese population: a case-control study. Cell Physiol Biochem 42(4): 1458-1468, 2017. PMID: 28719899. DOI: 10.1159/000479210
    OpenUrlCrossRefPubMed
  23. ↵
    1. Yaykaşli KO,
    2. Kayikçi MA,
    3. Yamak N,
    4. Soğuktaş H,
    5. Düzenli S,
    6. Arslan AO,
    7. Metın A,
    8. Kaya E and
    9. Hatıpoğlu ÖF
    : Polymorphisms in MMP-2 and TIMP-2 in Turkish patients with prostate cancer. Turk J Med Sci 44(5): 839-843, 2014. PMID: 25539555.
    OpenUrlPubMed
  24. ↵
    1. Adabi Z,
    2. Mohsen Ziaei SA,
    3. Imani M,
    4. Samzadeh M,
    5. Narouie B,
    6. Jamaldini SH,
    7. Afshari M,
    8. Safavi M,
    9. Roshandel MR and
    10. Hasanzad M
    : Genetic polymorphism of MMP2 gene and susceptibility to prostate cancer. Arch Med Res 46(7): 546-550, 2015. PMID: 26319608. DOI: 10.1016/j.arcmed.2015.08.004
    OpenUrlCrossRefPubMed
  25. ↵
    1. Białkowska K,
    2. Marciniak W,
    3. Muszyńska M,
    4. Baszuk P,
    5. Gupta S,
    6. Jaworska-Bieniek K,
    7. Sukiennicki G,
    8. Durda K,
    9. Gromowski T,
    10. Prajzendanc K,
    11. Cybulski C,
    12. Huzarski T,
    13. Gronwald J,
    14. Dębniak T,
    15. Scott RJ,
    16. Lubiński J and
    17. Jakubowska A
    : Association of zinc level and polymorphism in MMP-7 gene with prostate cancer in Polish population. PLoS One 13(7): e0201065, 2018. PMID: 30036379. DOI: 10.1371/journal.pone.0201065
    OpenUrlCrossRefPubMed
  26. ↵
    1. Zhang H,
    2. Li G,
    3. Zhang Z,
    4. Wang S and
    5. Zhang S
    : MMP-2 and MMP-9 gene polymorphisms associated with cervical cancer risk. Int J Clin Exp Pathol 10(12): 11760-11765, 2017. PMID: 31966538.
    OpenUrlPubMed
  27. ↵
    1. Dofara SG,
    2. Chang SL and
    3. Diorio C
    : Gene polymorphisms and circulating levels of MMP-2 and MMP-9: a review of their role in breast cancer risk. Anticancer Res 40(7): 3619-3631, 2020. PMID: 32620601. DOI: 10.21873/anticanres.14351
    OpenUrlAbstract/FREE Full Text
  28. ↵
    1. Liao CH,
    2. Wu HC,
    3. Hu PS,
    4. Hsu SW,
    5. Shen TC,
    6. Hsia TC,
    7. Chang WS,
    8. Tsai CW and
    9. Bau DT
    : The association of matrix metalloproteinase-1 promoter polymorphisms with prostate cancer in taiwanese patients. Anticancer Res 38(7): 3907-3911, 2018. PMID: 29970511. DOI: 10.21873/anticanres.12675
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Chang WS,
    2. Tsai CW,
    3. Ji HX,
    4. Wu HC,
    5. Chang YT,
    6. Lien CS,
    7. Liao WL,
    8. Shen WC,
    9. Tsai CH and
    10. Bau DT
    : Associations of cyclooxygenase 2 polymorphic genotypes with bladder cancer risk in Taiwan. Anticancer Res 33(12): 5401-5405, 2013. PMID: 24324075.
    OpenUrlAbstract/FREE Full Text
  30. ↵
    1. Yang MD,
    2. Lin KC,
    3. Lu MC,
    4. Jeng LB,
    5. Hsiao CL,
    6. Yueh TC,
    7. Fu CK,
    8. Li HT,
    9. Yen ST,
    10. Lin CW,
    11. Wu CW,
    12. Pang SY,
    13. Bau DT and
    14. Tsai FJ
    : Contribution of matrix metalloproteinases-1 genotypes to gastric cancer susceptibility in Taiwan. Biomedicine (Taipei) 7(2): 10, 2017. PMID: 28612708. DOI: 10.1051/bmdcn/2017070203
    OpenUrlCrossRefPubMed
    1. Shih LC,
    2. Tsai CW,
    3. Lin TC,
    4. Wang YC,
    5. He JL,
    6. Hsu CL,
    7. Hsia TC,
    8. Tsai FJ,
    9. Yang JS,
    10. Hsu YM,
    11. Bau DT and
    12. Chang WS
    : Association of EZH2 genotypes with oral cancer risk. In Vivo 36(6): 2669-2677, 2022. PMID: 36309370. DOI: 10.21873/invivo.13002
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Yueh TC,
    2. Tsao HY,
    3. Chien WC,
    4. Tsai CW,
    5. Pei JS,
    6. Wu MH,
    7. Chen CP,
    8. Chen CC,
    9. Wang ZH,
    10. Mong MC,
    11. Yang YC,
    12. Hung YC,
    13. Bau DT and
    14. Chang WS
    : The contribution of matrix metalloproteinase-7 promoter genotypes to hepatocellular carcinoma susceptibility. Anticancer Res 42(11): 5275-5282, 2022. PMID: 36288882. DOI: 10.21873/anticanres.16034
    OpenUrlAbstract/FREE Full Text
  32. ↵
    1. Fu CK,
    2. Mong MC,
    3. Yu CC,
    4. Yang MD,
    5. Wang ZH,
    6. Yang YC,
    7. Chen JC,
    8. Pei JS,
    9. Hsia NY,
    10. Tsai CW,
    11. Chang WS and
    12. Bau DT
    : Association of Matrix Metallopeptidase-2 genotypes with risk of gastric cancer in Taiwan. Anticancer Res 42(4): 1749-1755, 2022. PMID: 35346993. DOI: 10.21873/anticanres.15651
    OpenUrlAbstract/FREE Full Text
  33. ↵
    1. Hung CF,
    2. Yang CK and
    3. Ou YC
    : Urologic cancer in Taiwan. Jpn J Clin Oncol 46(7): 605-609, 2016. PMID: 27052114. DOI: 10.1093/jjco/hyw038
    OpenUrlCrossRefPubMed
  34. ↵
    1. Weng H,
    2. Zeng XT,
    3. Wang XH,
    4. Liu TZ and
    5. He DL
    : Genetic association between Matrix Metalloproteinases gene polymorphisms and risk of prostate cancer: a meta-analysis. Front Physiol 8: 975, 2017. PMID: 29249982. DOI: 10.3389/fphys.2017.00975
    OpenUrlCrossRefPubMed
  35. ↵
    1. Kiani A,
    2. Kamankesh M,
    3. Vaisi-Raygani A,
    4. Moradi MR,
    5. Tanhapour M,
    6. Rahimi Z,
    7. Elahi-Rad S,
    8. Bahrehmand F,
    9. Aliyari M,
    10. Aghaz F,
    11. Mozafari H,
    12. Rezvani N,
    13. Haghnazari L and
    14. Pourmotabbed T
    : Activities and polymorphisms of MMP-2 and MMP-9, smoking, diabetes and risk of prostate cancer. Mol Biol Rep 47(12): 9373-9383, 2020. PMID: 33165815. DOI: 10.1007/s11033-020-05968-5
    OpenUrlCrossRefPubMed
  36. ↵
    1. Zhou H and
    2. Zhu X
    : Association between matrix-metalloproteinase polymorphisms and prostate cancer risk: a meta-analysis and systematic review. Cancer Manag Res 10: 5247-5259, 2018. PMID: 30464622. DOI: 10.2147/CMAR.S177551
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

Anticancer Research: 43 (1)
Anticancer Research
Vol. 43, Issue 1
January 2023
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Back Matter (PDF)
  • Ed Board (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Anticancer Research.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Association of Matrix Metalloproteinase-2 Genotypes With Prostate Cancer Risk
(Your Name) has sent you a message from Anticancer Research
(Your Name) thought you would like to see the Anticancer Research web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
8 + 6 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Association of Matrix Metalloproteinase-2 Genotypes With Prostate Cancer Risk
PO-HAN LI, CHENG-HSI LIAO, WEN-CHIN HUANG, WEN-SHIN CHANG, HSI-CHIN WU, SHIH-WEI HSU, KAI-YUAN CHEN, ZHI-HONG WANG, TE-CHUN HSIA, DA-TIAN BAU, CHIA-WEN TSAI
Anticancer Research Jan 2023, 43 (1) 343-349; DOI: 10.21873/anticanres.16169

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
Association of Matrix Metalloproteinase-2 Genotypes With Prostate Cancer Risk
PO-HAN LI, CHENG-HSI LIAO, WEN-CHIN HUANG, WEN-SHIN CHANG, HSI-CHIN WU, SHIH-WEI HSU, KAI-YUAN CHEN, ZHI-HONG WANG, TE-CHUN HSIA, DA-TIAN BAU, CHIA-WEN TSAI
Anticancer Research Jan 2023, 43 (1) 343-349; DOI: 10.21873/anticanres.16169
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Acknowledgements
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

Cited By...

  • Impact of Cyclin-dependent Kinase Inhibitor 1A Genotypes on Prostate Cancer Susceptibility Prediction
  • Impacts of Matrix Metalloproteinase-2 Promoter Genotypes on Breast Cancer Risk
  • Google Scholar

More in this TOC Section

  • Musashi1 Enhances Cell Growth and Increases Chemoresistance in Neuroblastoma
  • 6-O-Carboxypropyl-α-Tocotrienol Enhances the Anticancer Effects of Bortezomib Without Suppressing NRF1 and NRF3 in Colorectal Cancer Cells
  • Imbalance Between CD44 and STAT3 Enhances Spheroid Viability and Impairs Pembrolizumab Response in Urothelial Cancer
Show more Experimental Studies

Keywords

  • Genotype
  • MMP-2
  • polymorphism
  • Prostate cancer
Anticancer Research

© 2026 Anticancer Research

Powered by HighWire