MLH1 polymorphisms and cancer risk: a meta-analysis based on 33 case-control studies
Jia-Li Xu1, Zhi-Qiang Yin, Ming-De Huang
1Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Asian Pacific Journal of Cancer Prevention : APJCP
|May 29, 2012
Summary
The MLH1 -93G>A gene variant is linked to increased cancer risk, particularly in non-Asian populations. The MLH1 I219V polymorphism showed no significant association with overall cancer risk in this meta-analysis.
Area of Science:
- Genetics and Oncology
- Molecular Biology
- Cancer Research
Background:
- The MLH1 gene is crucial for DNA mismatch repair, a pathway significant in human cancers.
- Two MLH1 gene polymorphisms, -93G>A and I219V, have been investigated for their potential roles in cancer susceptibility.
Purpose of the Study:
- To conduct a meta-analysis summarizing the evidence on the association between MLH1 polymorphisms (-93G>A and I219V) and cancer risk.
- To evaluate the strength of these associations using quantitative genetic models.
Main Methods:
- A systematic literature search was performed across PubMed, ScienceDirect, and Embase databases.
- Included studies were case-control in design, focusing on MLH1 polymorphisms and cancer risk.
- Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated to assess the strength of associations.
Main Results:
- The meta-analysis of 33 studies indicated that the variant A allele of the MLH1 -93G>A polymorphism is associated with an increased cancer risk across all genetic models (AA vs. GG: OR = 1.22, 95% CI: 1.03-1.44).
- This association was particularly pronounced in non-Asian populations (AA vs. GG: OR = 1.28, 95% CI: 1.04-1.58).
- No significant association was found for the MLH1 I219V polymorphism with overall cancer risk in any genetic model.
Conclusions:
- The MLH1 -93G>A polymorphism may serve as a biomarker for cancer susceptibility.
- Further large-scale association studies are needed to confirm these findings.
- Investigating gene-to-gene and gene-to-environment interactions is recommended for a comprehensive understanding.
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