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Medical Science Monitor: International Medical Journal of Experimental and Clinical Research logoLink to Medical Science Monitor: International Medical Journal of Experimental and Clinical Research
. 2016 Sep 8;22:3186–3190. doi: 10.12659/MSM.896973

Relationship Between Murine Double Minute 2 (MDM2) T309G Polymorphism and Endometrial Cancer Risk: A Meta-Analysis

Zhuowei Xue 1,A,B,C,D,E,F, Xiaolu Zhu 1,B,C,D,E,F, Yincheng Teng 1,A,E,
PMCID: PMC5026055  PMID: 27604213

Abstract

Background

Endometrial cancer is one of the most common cancers in female patients. Many studies have investigated the association between the MDM2 T309G genotype and endometrial cancer incidence, but the results have been inconclusive.

Material/Methods

We performed a systematic search in PubMed and Web of Science databases (update until October 21, 2015) for all English-language publications. The associations are indicated as pooled odds ratio (OR) and 95% confidence intervals (CI).

Results

We identified 8 relevant publications (9 case-control studies), including 2188 cases and 4654 controls, that assessed the relationship between MDM2 T309G polymorphism and endometrial cancer risk. There was a significant association between MDM2 T309G polymorphism and endometrial cancer risk in the overall population in the recessive model (OR=1.61; 95% CI: 1.19–2.19; P=0.002). In the subgroup of different ethnic populations, the subgroup analysis showed MDM2 T309G polymorphism was significantly associated with increased endometrial cancer risk in Caucasians (OR=1.75; 95% CI: 1.16–2.63; P=0.007). No similar result was found in Asians.

Conclusions

Our meta-analysis provides evidence that MDM2 T309G polymorphism is associated with endometrial cancer, especially in Caucasians.

MeSH Keywords: Endometrial Neoplasms; Polymorphism, Genetic; Proto-Oncogene Proteins c-mdm2

Background

Endometrial cancer is one of the most common cancers in female patients [1]. During recent decades the incidence of endometrial cancer has been growing. The most important reasons for this growth are increased life expectancy and the global obesity epidemic [2]. Although the mechanism of endometrial cancer is known, the genetic basis of this disease is not fully understood.

Murine double minute 2 (MDM2) is one of the most important negative regulators of P53. MDM2 can inhibit the transcriptional activity of P53. This protein can function as an E3 ubiquitin ligase responsible for the ubiquitination and proteolytic degradation of p53 [3]. P53 can lead to cell cycle arrest and apoptosis, and can repair DNA damage [4]. The overexpression of MDM2 is observed in various human tumors, including endometrial cancer [5].

Many studies have investigated the association between the MDM2 T309G genotype and endometrial cancer incidence. Although a significant association was observed in some studies, a clear linkage between MDM2 T309G polymorphism and the risk of endometrial cancer has not been established [613]. Hence, a meta-analysis investigating MDM2 T309G polymorphism and the risk of endometrial cancer was carried out to conclusively establish the role of MDM2 T309G polymorphism in endometrial cancer.

Material and Methods

Selection of published studies

We performed a systematic search in PubMed and Web of Science databases (updated October 21, 2015) for all English-language publications using combinations of the following key words: (endometrial cancer) and („murine double minute 2” OR „MDM2”). To obtain as many eligible studies as possible, we also examined all relevant references in the selected publications. Review articles, meeting abstracts, and animal experiment studies were not considered.

Inclusion and exclusion criteria

Inclusion criteria were: (a) estimation of the association between MDM2 T309G polymorphism and the risk of endometrial cancer; (b) case-control or cohort study; and (c) sufficient original data for calculating an odds ratio (OR) with its 95% confidence interval (CIs). Studies were excluded if they did not include usable data on genotype distribution.

Data extraction

All data were carefully extracted and reviewed from each eligible study independently by 2 investigators, and any potential conflict was resolved by discussion between the 2 reviewers. The information extracted from each study included the following: the first author’s name, the publication’s year, ethnicity, the number of cases and controls, and genotype distribution.

Statistical analysis

A chi-square test was used to estimate the Hardy-Weinberg equilibrium (HWE) among the control subjects. The risk was evaluated through the recessive model (polymorphic homozygous versus heterozygotes and homozygotes for the wild-type allele). Subgroup analysis based on different ethnic populations was also performed. Additionally, sensitivity analysis was used to examine the stability of results by omitting each study sequentially or omitting the study without HWE. The pooled OR was estimated using the fixed-effects or random-effects models according to heterogeneity. Heterogeneity among studies was calculated using the chi-square-based Q test. The effect of heterogeneity was also quantified using the I2 statistic, which ranges between 0% and 100%. When lack of heterogeneity between studies was detected, the Mantel-Haenszel method in a fixed-effects model was used. In contrast, when heterogeneity between studies was present, the DerSimonian and Laird method in a random-effects model was used. Associations were indicated as pooled OR and 95% CI. Publication bias was examined by funnel plot method, in which the standard error of log (OR) of each study was plotted against its log (OR). The asymmetry in funnel plot is detected when publication bias is present. Funnel plot asymmetry was also determined by Egger’s test. P<0.05 was considered statistically significant. Data analyses were performed using the Cochrane systematic review software Review Manager 5.2 and Stata 11.

Results

Study characteristics

After searching 44 articles meeting the search criteria, we identified 8 relevant publications (9 case-control studies), including 2188 cases and 4654 controls, to assess the relationship between MDM2 T309G polymorphism and endometrial cancer risk (Figure 1). The characteristics of the included studies are listed in Table 1. Six studies were performed in Caucasians and 3 were performed in Asians. All studies were case-control.

Figure 1.

Figure 1

Flow chart of the literature search according to PRISMA statement.

Table 1.

Characteristics of the included studies in this meta-analysis.

First author Year Ethnicity Case number Control number Case distribution Control distribution HWE
Walsh 2007 Caucasian 73 79 28/27/18 32/38/9 Yes
Terry 1 2008 Caucasian 394 948 169/162/63 433/429/95 Yes
Terry 2 2008 Caucasian 122 368 47/54/21 163/155/50 Yes
Ashton 2009 Caucasian 191 291 78/84/29 128/126/37 Yes
Nunobiki 2009 Asian 102 95 24/44/34 17/59/19 No
Ueda 2009 Asian 119 108 26/54/21 20/66/22 No
Zajac 2012 Caucasian 152 100 24/30/98 24/48/28 Yes
Knappskog 2012 Caucasian 910 2465 361/426/123 1072/1093/300 Yes
Yoneda 2013 Asian 125 200 30/61/34 62/98/40 Yes

HWE – Hardy-Weinberg equilibrium.

Quantitative data synthesis

As shown in Figure 2, there was a significant association between MDM2 T309G polymorphism and endometrial cancer risk in the overall population in the recessive model (OR=1.61; 95% CI: 1.19–2.19; P=0.002). However, there was significant between-study heterogeneity (I2=72%); therefore, we performed sensitive analysis. When the studies without HWE were excluded, the result was still significant (OR=1.70; 95% CI: 1.20–2.42; P=0.003; I2=76%). When the study was excluded once, we found that the study by Zajac might be the main resource of heterogeneity. When this study was omitted, the heterogeneity decreased (I2=29%). In the subgroup of different ethnic populations, the subgroup analysis showed MDM2 T309G polymorphism was significantly associated with increased endometrial cancer risk in Caucasians (OR=1.75; 95% CI: 1.16–2.63; P=0.007; I2=80%), but not in Asians.

Figure 2.

Figure 2

Combined meta-analysis of the association between MDM2 T309G polymorphism and endometrial cancer risk.

We used funnel plots and Egger’s test to assess the publication bias. The funnel plots appeared to be symmetrical (Figure 3) and Egger’s test did not reveal any evidence of publication bias (P>0.05).

Figure 3.

Figure 3

Funnel plot of association between MDM2 T309G polymorphism and endometrial cancer risk.

Discussion

The present meta-analysis consists of an evaluation of MDM2 T309G polymorphism and endometrial cancer risk. Our results show a significant association between MDM2 T309G polymorphism and endometrial cancer risk. Additionally, after the population was stratified by ethnicity, an increased risk for endometrial cancer was observed in Caucasians.

MDM2 was discovered in a locus amplified on double minute chromosomes in a tumorigenic mouse cell line [14]. MDM2 can block the transcriptional activity of p53. In addition, MDM2 can promote p53 protein degradation. Thus, the main function of MDM2 is to inhibit p53 activity. A previous study suggested that high levels of MDM2 could decrease p53 protein levels. This progress can attenuate p53 function; therefore, it can increase cancer risk [15]. Additionally, MDM2 might play a critical role in cancer progression [16]. In tumor cells, overexpression of MDM2 can induce cell proliferation and inhibit cell apoptosis [17,18].

Several potential limitations of the present study should be mentioned. Firstly, our results were based on unadjusted single-factor estimates, but if detailed individual information on age, sex, family history, and environmental factors were available, more precise analyses could have been conducted. Secondly, because we only searched for articles with sufficient original data and published in English, some inevitable bias might occur in our results, although the funnel plot and Egger’s test showed no obvious publication bias. Thirdly, this meta-analysis contained a relatively small sample size, and deficient control populations, and the limitation of clinicopathological data may have especially affected our final conclusion.

Conclusions

Our meta-analysis provides evidence that MDM2 T309G polymorphism is associated with endometrial cancer, especially in Caucasians.

Footnotes

Disclosure of conflict of interest

None.

Source of support: Departmental sources

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