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Introduction

Gastric cancer (GC) is the fourth most common malignancy and the second primary cause of cancer mortality, resulting in >800,000 deaths worldwide annually (1–3). The overall prognosis for patients with GC remains poor and the 5-year survival rates range from 10 to 28% (4). The mechanisms that result in the tumorigenesis and progression of GC remain to be elucidated, but etiological factors include interactions between genetic and environmental factors.

Murine double minute 2 (MDM2) was first described as one of the genes amplified on the double minute chromosomes present in the spontaneously transformed Balb/c 3T3-DM cells in culture (5). The amplified sequences deriving from chromosome 10, region C1–C3. NIH3T3 or Rat2 cells overexpressing only the cloned MDM2 gene were tumorigenic in nude mice, revealing that MDM2 itself possesses transforming activity (6). Tp53 gene, which plays an important role in oncogenesis, inhibits cell proliferation and promotes cell apoptosis. However, MDM2 and p53 maintain an antagonistic relationship (7). TP53 is a transcription factor activated by cell stress conditions, such as hypoxia, DNA damage, and oncogene activation. Its downstream gene MDM2 is also activated. TP53 causes intracellular expression of MDM2, while the latter leads to the downregulation of TP53, which is the autoregulatory feedback loop between TP53 and MDM2 (8,9). MDM2 is known to regulate the function of p53 in different ways (7). It combines directly to p53 to inhibit TP53-dependent transcription, prevent the interaction of p53 and its transcription factors, and also mediate the transport of the MDM2-combined p53 from nucleus to cytoplasm.

MDM2 SNP309 is a single nucleotide T to G polymorphism located at the 309th nucleotide in the MDM2 gene promoter. Over the last two decades, it has been confirmed that the MDM2 SNP309 polymorphism is capable of significantly altering the expression of MDM2, thereby suppressing the p53 pathway. Moreover, a number of epidemiological studies have investigated the association between MDM2 SNP309 and the risk of various types of cancer (10–13), including renal, hepatocellular, endometrial, bladder and gastric. However, results concerning the relationship between MDM2 SNP309 polymorphism and GC risk were different or even contradictory (14,15). This difference or contradiction in results may be due to the relatively small sample size of individual studies and interactions of gene and environmental factors during gastric tumorigenesis. In the present study, we examined the association between the MDM2 SNP309 polymorphism and GC risk, and performed a meta-analysis of 7 case-control studies including 2,199 cases and 3,201 controls focusing on overall and subgroup factors.

Materials and methods

Literature search

Studies published prior to February, 2013 were identified through a systematic search of the following electronic databases: PubMed, MEDLINE, Embase, Web of Science, China Biology Medicine disc, using key words including: ‘MDM2’ or ‘Murine double minute 2’ and ‘polymorphism’ or ‘variant’ and ‘gastric’ or ‘stomach’ and ‘neoplasm’ or ‘tumor’ or ‘cancer’ or ‘carcinoma’, without restriction on language. Additionally, an extensive manual search was performed by using references from each retrieved study or review article.

Inclusion criteria

The eligible studies were required to meet the following criteria: i) case-control studies evaluating the association between MDM2 SNP309 and GC risk, and ii) supply detailed data of the genotype distribution of the MDM2 SNP309 polymorphisms in cases and controls in order to estimate the OR with 95% CI. When authors reported on the same patient populations in two or more publications, only the most recent or complete study was included in the review, in order to avoid overlapping between studies.

Data extraction

Two authors (Q.W. and W.C.) independently extracted the following data from each included study by using a standardized form: the first author, publication year, country of origin, characteristics of controls, sources of controls, genotyping method, and genotype distribution. If there was any inconsistency, it was resolved among all the authors. When essential data were not presented in studies, every effort was made to contact the corresponding authors.

Statistical methods

Overall and subgroup meta-analyses were performed with stratification by gender, cancer location, infection status of Helicobacter pylori (HP) or source of controls. Pooled ORs and 95% CIs were calculated to evaluate the association between MDM2 SNP309 and GC risk. Five genetic models [G/T; GG/TT; GT/TT; the dominant model, i.e., (GG+GT)/TT; and the recessive model, i.e., GG/(TT+GT)] and the mathematical models, fixed- and random-effects models, were applied to obtain a more comprehensive analysis. The heterogeneity test was used to determine which mathematical model was more suitable. The fixed-effects model was applied when the Chi-square-based Q-test yielded P>0.05, I2≤50%, otherwise, the random-effects model was applied. In case of any heterogeneity (P<0.05, I2>50%), sensitivity analyses were carried out to explore possible explanations for the heterogeneity included in the meta-analysis. Publication bias was not assessed using tests for funnel plot asymmetry as there were fewer than nine studies (16). Calculations were performed using The Cochrane Collaboration’s software RevMan 5.20.

Results

Characteristics of the various studies

The search for eligible studies yielded 10 references that assessed the relationship of MDM2 SNP309 and GC risk, of which one article (14) was excluded because it was conducted on overlapping populations with another included study (13) (the study including the larger sample number). The study by Pan et al(17), which included the meta-analysis results of five studies, was excluded to avoid overlapping with the study by Zhang et al(13). The study by Li (18) was excluded as it did not provide the relevant genotype frequencies. Two of the 10 studies (19,20) were confirmed to have been conducted on different populations from different time periods after the author was contacted and were included in the present meta-analysis. Seven case-control studies (13,15,19–23) published from 2006 to 2012 and including 2,199 cases and 3,201 controls, explored the association between the relationship between MDM2 SNP309 and GC risk. The studies focused on Asian populations. Of the seven publications, five studies (13,15,21–23) were published in English, and two in Chinese (19,20). The Hardy-Weinberg equilibrium (HWE) test was performed on all the included studies except that by Yang et al(22) in which HWE was not reported. The remaining studies were shown to be in HWE (P>0.05), with the except of that by Er et al(20). The main characteristics of the seven studies are shown in Table I.

Table I Main characteristics of studies included in the meta-analysis.

Table I

Main characteristics of studies included in the meta-analysis.

Author, year	Population (countrol of origin)	Characteristics of control (matched for)	Source of control	Genotyping method	Sample size (case/control)	Genotype distribution (TT/GT/GG)		HWE	Refs.
						Case	Control
Er et al, 2012	Chinese (Hebei, China)	Healthy (age, gender)	HCC	PCR-RFLP	158/142	34/74/50	41/78/23	Yes	(19)
Zhang et al, 2011	Chinese (Nanjing, China)	Healthy (age, gender, sample size)	PCC	PCR-RFLP	574/574	173/260/141	179/316/79	Yes	(13)
Er et al, 2009	Chinese (Hebei, China)	Healthy (age, gender)	HCC	PCR-RFLP	106/106	23/51/32	39/46/21	No	(20)
Cho et al, 2008	Korean (Seoul, Korea)	Healthy	PCC	PCR-RFLP	239/299	64/110/65	61/152/86	Yes	(15)
Yang et al, 2007	Chinese (Beijing, China)	Healthy (age, gender)	PCC	PCR-RFLP	500/1000	107/250/143	298/498/204	DNRa	(22)
Cao et al, 2007	Chinese (Hebei, China)	Healthy	PCC	PIRA-PCR	212/642	21/91/100	117/299/226	Yes	(21)
Ohmiya et al, 2006	Japanese (Nagoya, Japan)	Subjects without gastric tumors (ethnicity, gender)	HCC	PCR-RFLP	410/438	98/188/124	99/241/98	Yes	(23)

a ?; HWE, Hardy-Weinberg equilibrium; HCC, hospital-based case-control; PCR, polymerase chain reaction; RFLP, restriction fragment length polymorphism; PCC, population-based case-control; DNR, data not reported; PIRA, primer-introduced restriction analysis.

Meta-analysis

As shown in Fig. 1, we found significant associations between the MDM2 SNP309 polymorphism and GC susceptibility in the overall analysis for the three models including G vs. T alleles, GG vs. TT, and the recessive model (for G vs. T: OR=1.35 and 95% CI, 1.24–1.47; for GG vs. TT: OR=1.88 and 95% CI, 1.59–2.24, and the recessive model: OR=1.71 and 95% CI, 1.49–1.96. However, no association was found between the two models (GT vs. TT and dominant model) and GC risk (for GT vs. TT: OR=1.08 and 95% CI, 0.83–1.42, and the dominant model: OR=1.26 and 95% CI, 0.96–1.66).

Figure 1 Forest plot shows the association between murine double minute 2 (MDM2) SNP309 and gastric cancer risk: (A) G vs. T allele, (B) GG vs. TT, (C) GT vs. TT, (D) (GT+GG) vs. TT, (E) GG vs. (TT+GT).

In the stratified analysis by cancer location, significantly increased risks were found among gastric cardia cancer (GCA) (999 cases and 2,322 controls) for all the models (for GG vs. TT: OR=2.00 and 95% CI, 1.61–2.50; for GT vs. TT: OR=1.50 and 95% CI, 1.20–1.88; the dominant model: OR=1.70 and 95% CI, 1.38–2.10; and the recessive model: OR=1.63 and 95% CI, 1.38–1.94). Among non-GCA (1,200 cases and 1,453 controls), no significant association was found in GG vs. TT (OR=1.45 and 95% CI, 0.88–2.39), GT vs. TT: OR=0.83 and 95% CI=0.69–1.00, and the dominant model: OR=0.99 and 95% CI, 0.83–1.18. However, significantly elevated risk was associated with the recessive model (OR=1.86 and 95% CI, 1.51–2.29) (Table II).

Table II Summary of pooled ORs and 95% CI for ordinary genetic contrasts of associations between murine double minute 2 SNP309 polymorphism and GC risk.

Table II

Summary of pooled ORs and 95% CI for ordinary genetic contrasts of associations between murine double minute 2 SNP309 polymorphism and GC risk.

	Stratified analysis (cancer location) OR (95% CI)		Subgroup (source of control) OR (95% CI)		Stratified analysis (gender) OR (95% CI)		Stratified analysis (infection with H. pylori) OR (95% CI)
Contrast	GCA	non-GCA	HCC	PCC	Male	Female	HP+	HP−
GG vs. TT	2.00 (1.61–2.50)	1.45 (0.88–2.39)	1.91 (1.12–3.25)	1.60 (1.02–2.52)	-	-	-	-
GT vs. TT	1.50 (1.20–1.88)	0.83 (0.69–1.00)	1.12 (0.68–1.84)	1.07 (0.74–1.56)	-	-	-	-
(GT+GG) vs. TT	1.70 (1.38–2.10)	0.99 (0.83–1.18)	1.35 (0.83–2.20)	1.22 (0.83–1.80)	-	-	-	-
GG vs. (TT+GT)	1.63 (1.38–1.94)	1.86 (1.51–2.29)	1.55 (1.17–2.04)	1.72 (1.46–2.02)	1.27 (0.55–2.93)	1.66 (0.81–3.41)	2.02 (1.49–2.73)	1.34 (0.82–2.20)

[i] OR, odds ratio; CI, confidence interval; GCA, gastric cardia cancer; HCC, hospital-based case-control; PCC, population-based case-control; HP, Helicobacter pylori.

In the subgroup analysis by source of controls, for the hospital-based case-control (HCC) study, there was little evidence that the MDM2 SNP309 resulted in an elevated risk for GT vs. TT (OR=1.12 and 95% CI, 0.68–1.84) and the dominant model (OR=1.35 and 95% CI, 0.83–2.20). However, the association was observed with GG vs. TT (OR=1.91 and 95% CI, 1.12–3.25) and the recessive model (OR=1.55 and 95% CI, 1.17–2.04). For the population-based case-control (PCC) study, no association was found with any of the genetic models with the exception of GG vs. TT (Table II).

In the included studies, two studies (13,15) comprising 813 cases and 873 controls provided separate raw data of genotypic distribution for the recessive model for an analysis of gender stratification, but no effect on the MDM2 SNP309 polymorphism on GC susceptibility was observed for males (OR=1.27 and 95% CI, 0.55–2.93) or females (OR=1.66 and 95% CI, 0.81–3.41). The pooled ORs and their 95% CIs are presented in Table II, and the forest plot of the stratified analyses was plotted in Fig. 2.

Figure 2 Meta-analysis for the association of gastric cancer risk with murine double minute 2 SNP309 polymorphism (recessive model; stratified by gender).

Two studies (13,20) provided detailed data of the genotype distribution of the recessive model for a stratified analysis of HP infection. An association was found with HP infection (for HP+: OR=2.02 and 95% CI, 1.49–2.73), but not with non-infection of HP (for HP−: OR=1.34 and 95% CI, 0.82–2.20). The pooled ORs and their 95% CIs are presented in Table II, and the forest plot of the stratified analyses is shown in Fig. 3.

Figure 3 Meta-analysis for the association of gastric cancer risk with murine double minute 2 SNP309 polymorphism (recessive model; stratified by infection status of Helicobacter pylori).

Sensitivity analysis

Sensitivity analysis was performed by deleting a single study involved each time to reflect the effect of the individual data on the pooled ORs. In both the overall and subgroup analyses, the corresponding pooled results were not markedly affected for all the models, except for the stratified analysis by cancer location for GCA GT vs. TT (data not shown).

Discussion

It is well known that risk factors of GC involve HP infection, smoking, alcohol, diet and nutrition such as red and processed meat, genetics and epigenetic factors (24). Additionally, host genetic susceptibility has been confirmed to play an important role in the development of GC. In the last decade, a number of meta-analyses have demonstrated that the MDM2 SNP309 G allele contributes to an increased risk of various human malignancies (25–29), such as liver, ovarian, head and neck, and lung cancer. Some meta-analyses also revealed that MDM2 SNP309 polymorphism may exert a differential effect on cancer risk along with ethnicity, including breast cancer and head and neck squamous cell carcinoma (HNSCC) (30,31). The present meta-analysis was conducted to examine a comprehensive evaluation regarding the association of MDM2 SNP 309 polymorphism with GC.

Findings of the overall analysis demonstrated that significant associations between the MDM2 SNP309 variant and GC risk were identified for the G vs. T alleles, GG vs. TT, and recessive model. It clearly revealed that G allele acts a key factor to increase the risk of GC, which is in accordance with Pan et al(17).

Since the interaction between genotype and environment acts a major determinant of tumor risk (32), we also conducted stratified analyses for GC risk based on cancer location, gender, infection status of HP, and a subgroup analysis by source of control.

Stratified analysis by cancer location revealed that increased risks with the MDM2 SNP309 variant for all the genotype models were more pronounced among GCA patients, which was contradictory to the results of Zhang et al(13), but in accordance with Yang et al(22). The latter authors found that a significantly increased risk for developing GCA was associated with the MDM2 309 G allele and the P53 72 Pro allele compared with the MDM2 309 T allele and the P53 72 Arg allele in an allele dose-dependent manner. Moreover, Yang et al(22) identified a joint effect between the MDM2 and P53 polymorphisms in intensifying GCA risk. This finding may due to the differences between GCA and GC at other sites with regard to epidemiological characteristics, etiology, pathogenesis and clinical behavior.

Recent meta-analyses have also found that SNP309G is associated with increasing lung cancer risk in females but not in males (29,33). However, in the stratified analysis by gender, we did not observe any evidence of their interaction in all the genotype models. In addition, in the seven eligible studies, two studies (21,22) reported detailed data concerning stratified analysis by smoking, and another two studies (13,15) analysed the association between age and GC risk by stratified analysis. However, we were not able to combine the data since the diagnostic criteria of smoking and non-smoking and the cut-off age were inconsistent or different.

An association was found with infection of HP but not with non-infection of HP in the stratified analysis by infection status of HP. Kodama et al(34) found that successful eradication of HP markedly decreased the p53 and MDM2 levels. Therefore, authors of that study suggested that HP infection may be associated with alteration of p53 pathway-mediated cell proliferation and apoptosis and correlate with MDM2 polymorphism via the p53 pathway. Their hypothesis may strongly enhance our stratified analysis results.

Although a careful search for publications, using explicit criteria for study inclusion, precise data extraction, and strict data analysis was conducted, the present meta-analysis had a number of limitations. Firstly, the small number of available studies and participants included, and certain factors including smoking, age and prognosis were not evaluated for lack of raw data. Secondly, the heterogeneity of some endpoints may have limited the comparability among studies and affected the validity of our results, which potentially result from differences in the selection of controls, age distribution and prevalence of lifestyle factors. Thirdly, while no publication bias was identified, our results may have been biased towards positive results as negative results were not yielded. To confirm our findings, well-designed studies with large samples are required in the future.

In summary, results of this meta-analysis suggest that the G allele of MDM2 SNP309 is a high-risk factor for developing GC. Furthermore, this phenomenon was more notable in subgroups including the GCA and infection with HP population groups. However, large-scale studies using standardized unbiased methods, well-matched controls and estimating the effect of gene-gene and gene-environment interactions should be used to provide a better, comprehensive understanding of the relationship of MDM2 SNP309 and GC risk.

References