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Updated: Mar 11, 2026

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Association of the MDM2 SNP285 Polymorphism with Cancer Susceptibility: A Meta-Analysis

Ping Wang1, Meilin Wang1, Sanqiang Li2

  • 1The Key Laboratory of Pharmacology and Medical Molecular Biology, Medical College, Henan University of Science and Technology, Luoyang 471023, China.

Disease Markers
|November 29, 2016
PubMed

Insights

The mouse double minute 2 (MDM2) gene SNP285 polymorphism is linked to reduced cancer risk. This meta-analysis found a significant association, particularly in ovarian cancer and Caucasians, warranting further research.

Area of Science:

  • Genetics
  • Oncology
  • Molecular Biology

Background:

  • The mouse double minute 2 (MDM2) gene regulates p53, a crucial tumor suppressor.
  • The MDM2 SNP285 polymorphism in the promoter region has been investigated for its association with cancer risk.
  • Previous studies on MDM2 SNP285 and cancer risk yielded inconclusive results.

Purpose of the Study:

  • To conduct a meta-analysis to precisely estimate the association between MDM2 SNP285 polymorphism and cancer risk.
  • To consolidate findings from individual studies to overcome limitations of statistical power.

Main Methods:

  • A systematic literature search was performed across PubMed, Embase, and CBM databases.
  • Included 16 studies with a total of 14,573 cases and 9,115 controls.
  • Calculated pooled odds ratios (ORs) and 95% confidence intervals (CIs) to assess associations.

Main Results:

  • The MDM2 SNP285 polymorphism was significantly associated with a decreased overall cancer risk under the heterozygous model (OR = 0.89, 95% CI = 0.79-0.99).
  • Other genetic models showed reduced ORs, though not statistically significant.
  • Stratification revealed decreased risk in ovarian cancer, Caucasians, and studies with larger sample sizes.

Conclusions:

  • The MDM2 SNP285 polymorphism is associated with a reduced risk of developing cancer.
  • This genetic variation may play a protective role, particularly in specific populations and cancer types.
  • Further large-scale, well-designed studies are needed to validate these findings.

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