Related Experiment Video

Updated: Feb 2, 2026

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance
05:19

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance

Published on: November 7, 2025

852

Association between matrix-metalloproteinase polymorphisms and prostate cancer risk: a meta-analysis and systematic

Hongxing Zhou1, Xuming Zhu2

  • 1Department of Clinical Laboratory, Changzhou Second Hospital affiliated to Nanjing Medical University, Changzhou, Jiangsu Province, China.

Cancer Management and Research
|November 23, 2018
PubMed
Abstract

Insights

Matrix metalloproteinase (MMP) gene polymorphisms show no overall link to prostate cancer risk. However, specific MMP3 and MMP9 variants may be associated with increased risk, warranting further investigation.

Area of Science:

  • Genetics
  • Oncology
  • Molecular Biology

Background:

  • Conflicting data exists on the association between matrix metalloproteinase (MMP) gene polymorphisms and prostate cancer risk.
  • A comprehensive meta-analysis and systematic review were conducted to clarify these relationships.

Purpose of the Study:

  • To systematically evaluate the association between various MMP gene polymorphisms and prostate cancer risk.
  • To synthesize existing evidence using meta-analysis and systematic review methodologies.

Main Methods:

  • A systematic literature search was performed across multiple databases.
  • Meta-analysis included studies with quantifiable MMP polymorphisms using five genetic models.
  • Systematic review covered studies with non-quantifiable polymorphisms.

Main Results:

  • Meta-analysis of MMP1 rs1799750, MMP2 rs243865, and MMP7 rs11568818 revealed no association with prostate cancer risk.
  • Subgroup analysis by sample type confirmed the lack of association for these polymorphisms.
  • Systematic review indicated potential associations for MMP3 11715A/6A and MMP9 rs17576 with prostate cancer risk.

Conclusions:

  • Matrix metalloproteinase (MMP) polymorphisms are generally not associated with prostate cancer risk.
  • Specific variants, MMP3 11715A/6A and MMP9 rs17576, may be linked to prostate cancer.
  • Larger, high-quality studies are recommended for future research.
Keywords:
matrix metalloproteinasemeta-analysispolymorphismprostate cancer

More Related Videos

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia04:34

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Published on: February 17, 2023

1.6K
An Orthotopic Murine Model of Human Prostate Cancer Metastasis06:48

An Orthotopic Murine Model of Human Prostate Cancer Metastasis

Published on: September 18, 2013

35.9K

Related Concept Videos

Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.3K
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.1K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.9K
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
773
Directing Effect of Substituents: meta-Directing Groups01:09

Directing Effect of Substituents: meta-Directing Groups

Substituents on the benzene ring that direct an incoming electrophile to undergo substitution at the meta position are called meta directors. All meta directors either have a positive charge on the atom directly bonded to the ring or a partial positive charge. These groups function by withdrawing electrons from the ring through inductive and resonance effects. Consider the carbocation intermediates formed upon the addition of an electrophile on nitrobenzene at the...
6.0K