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Int J Med Sci 2010; 7(5):300-308. doi:10.7150/ijms.7.300

Research Paper

Genetic polymorphism of p53, but not GSTP1, is association with susceptibility to esophageal cancer risk - A Meta-Analysis

Yaping Zhao1,*, Furu Wang2,3,*, Shunlin Shan4,*, Yiqi Zhao5, Xueming Qiu6, Xiangyang Li4, Feng Jiao5, Jianguo Wang4 Corresponding address, Yunxiang Du4 Corresponding address

1. Department of Laboratory, The 82th Hospital of the People's Liberation Army, Huaian 223001,China;
2. Department of Epidemiology and Biostatistics, Cancer Center, Nanjing Medical University, Nanjing 210029, China;
3. JiangSu Provincial Center for Disease Prevention and Control, Nanjing, 210009, China;
4. Department of Oncology, The 82th Hospital of the People's Liberation Army, Huaian 223001, China;
5. Department of Surgery, The 82th Hospital of the People's Liberation Army, Huaian 223001, China;
6. Department of Gastroenterology, The 82th Hospital of the People's Liberation Army, Huaian 223001, China.
* These authors contributed equally to this work.

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) License. See http://ivyspring.com/terms for full terms and conditions.
How to cite this article:
Zhao Y, Wang F, Shan S, Zhao Y, Qiu X, Li X, Jiao F, Wang J, Du Y. Genetic polymorphism of p53, but not GSTP1, is association with susceptibility to esophageal cancer risk - A Meta-Analysis. Int J Med Sci 2010; 7(5):300-308. doi:10.7150/ijms.7.300. Available from http://www.medsci.org/v07p0300.htm

Abstract

A number of studies have evaluated two functional polymorphisms on p53 Arg72Pro and GSTP1 Ile105Val, in relation to esophageal cancer susceptibility. However, the results remain conflicting rather than conclusive. This meta-analysis on 2919 cases and 4074 controls for p53 Arg72Pro and 1885 cases and 2194 controls for GSTP1 Ile105Val from 13 published case-control studies showed that no significant general main effects for GSTP1 Ile105Val on esophageal cancer risk. However, we found that the p53 Arg72Pro was associated with an increased risk of esophageal cancer ((Pro/Arg +Pro/Pro) versus Arg/Arg: OR=1.20, 95%CI=1.06-1.36) without any between-study heterogeneity.

In the stratified analysis by ethnicity, we found that the increased esophageal cancer risk associated with p53 Arg72Pro polymorphism was more evident in Asian group ((Pro/Arg +Pro/Pro) versus Arg/Arg: OR=1.35, 95%CI=1.14-1.60, P=0.09 for heterogeneity test), although we still failed to find any significant association between GSTP1 Ile105Val polymorphism and esophageal cancer risk in different ethnicity. These results suggest that p53 Arg72Pro polymorphism, but not GSTP1 Ile105Val, may contribute to esophageal cancer development, especially in Asian. Additional well-designed large studies were required for the validation of this association.

Keywords: p53, GSTP1, polymorphism, esophageal cancer, meta-analysis

Introduction

Esophageal cancer, the sixth most common cause of cancer-related death in the world, occurs with increased frequency in specific regions. [1] Survival rates for esophageal cancer are poor; 75% of patients die within 1 year after diagnosis, and the 5-year survival rate is only 5-10% .[1] The development of esophageal cancer is a multifactorial process associated with a variety of risk factors. Cumulative evidence suggests that tobacco smoking, heavy alcohol drinking, micronutrient deficiency, and dietary carcinogen exposure may cause the disease.[2-5] However, even in the at-risk population, only a portion of exposed individuals develop the cancer in their life span, indicating that there may be important genetic basis rendering such individuals susceptible to the disease.

The tumor-suppressor gene p53 is important for cellular growth control once the DNA is subject to damage or mutation and arrests the cell cycle in the G1 phase to allow DNA repair or apoptosis.[6] Its mutation is widely detected in all types of cancer, including esophageal cancer.[6,7] It is now clear that disruption of p53 pathway, such as through inactivating p53 mutations, is associated with the formation and progression of malignancies. For example, it has been shown that >50% of human tumors have inactivating p53 mutations.[8]

Glutathione S-transferase P1 (GSTP1) is quantitatively the most important GST isoform in normal esophageal epithelium.[9] GSTP1 expression, GSTP1 mRNA levels, glutathione content and GST enzyme activities are all reduced in BE (Barrett esophagus) compared with normal esophageal epithelium.[9-13] Because accumulating evidence indicates p53 and GSTP1 play central role in cancer formation and progression, one may reason that functional single nucleotide polymorphisms in these genes might render the carrier susceptible to cancer, including esophageal cancer.

It was reported that the p53 gene is polymorphic and among its single nucleotide polymorphisms, a G>C change at codon 72 (rs1042522) results in Arg>Pro amino acid substitution.[14] Although both variants are morphologically wild-type, the Pro/Pro genotype is less effective in suppressing cellular transformation.[15] Several studies have reported that the p53 codon 72 polymorphism may be associated with tumor susceptibility to a variety of cancers recently.[16-18] The GSTP1 gene displays a polymorphism, an A>G change at codon 105, resulting in an Ile-to-Val substitution (rs1695), which alters the enzymatic activity of the protein.[18] This has been suggested as a putative high-risk genotype in various cancers.[19] Therefore, it's reasonable to hypothesize that the p53 Arg72Pro and GSTP1 Ile105Val polymorphisms may functionally related to the risk of esophageal cancer.

A number of molecular epidemiology studies have been conducted to examine the association between p53 Arg72Pro, GSTP1 Ile105Val polymorphisms and esophageal cancer susceptibility [19-33], but the results remain inconsistent. To estimate the overall risk of p53 Arg72Pro, GSTP1 Ile105Val associated with esophageal cancer risk and to quantify the potential between-study heterogeneity, we conducted a meta-analysis on 13 published case-control studies with 2919 cases and 4074 controls for p53 Arg72Pro and 1885 cases and 2194 controls for GSTP1 Ile105Val.

Materials and Methods

Identification and Eligibility of Relevant Studies. We attempted to include all the case-control studies published to date on the association between p53 Arg72Pro, GSTP1 Ile105Val polymorphisms and esophageal cancer risk. Eligible studies were identified by searching the electronic literature PubMed for relevant reports (last search update February 2010, using the search terms “p53”, “polymorphisms” and “esophageal cancer”; “GSTP1, “polymorphisms” and “esophageal cancer”). Additional studies were identified by hands-on searches from references of original studies or review articles on this topic. If studies had partly overlapped subjects, only the one with a larger and/or latest sample size was selected for the analysis.

Data Extraction. Two investigators independently extracted data and reached a consensus on all of the items. Data extracted from these articles included the first author's name, year of publication, country of origin, ethnicity, number of cases and controls, genotype frequencies for cases and controls.

Meta-Analysis. The risk of esophageal cancer associated with p53 Arg72Pro, GSTP1 Ile105Val polymorphisms were estimated for each study by odds ratio (OR) with 95% confidence intervals (95%CI). For all studies, we evaluated the risk of the variant genotypes (Pro/Pro, Val/ Val), compared with the wild-type genotype (Arg/Arg, Ile/ Ile). Then we calculated the ORs of the polymorphisms, using both dominant and recessive genetic models of the variant 72Pro and 105Val alleles. In addition, we conducted stratification analysis by ethnicity. The χ2-based Q statistic test was used for the assessment of heterogeneity, and it was considered significant for P < 0.05. We used the fixed-effects model and the random-effects model based on the Mantel-Haenszel method and the DerSimonian and Laird method, respectively, to combine values from each of the studies. When the effects were assumed to be homogenous, the fixed-effects model was then used; otherwise, the random-effects model was more appropriate. We also computed the power of the selected studies by using the DSTPLAN4.2 software, in order to assess the probability of detecting an association between RANTES polymorphisms and asthma at the 0.05 level of significance, assuming a genotypic risk of 2.0 and 1.5. The Egger's test and inverted funnel plots were utilized to provide diagnosis of publication bias (Linear regression analysis, ref.[34] All analysis was done by using the Statistical Analysis System software (v.9.1.3, SAS Institute, Cary, NC) and Review Manage (v.4.2). All the P values were two-sided.

Results

The selected study characteristics are listed in Table 1 and Table 2. All studies indicated that the distributions of two polymorphism's genotypes in the controls were both consistent with Hardy-Weinberg equilibrium except for one study [26]for p53 Arg72Pro, and one studies [21] for GSTP1 Ile105Val. Considering the representation of samples, which may directly result in untruthful effect, we excluded these studies [21,26] with a departure from Hardy-Weinberg equilibrium from our analysis. As a result, 6 case-control studies (2919 cases and 4074 controls) for p53 Arg72Pro and 9 studies (1885 cases and 2194 controls) for GSTP1 Ile105Val were available for this meta-analysis. The minor Pro allele (for p53 Arg72Pro) and Val allele (for GSTP1 Ile105Val) frequency (MAF) were 0.44 and 0.20 for Asian studies, while around 0.60 and 0.32 for Mix and Caucasus populations, respectively.

 Table 1 

Characteristics of published studies on p53Arg72Pro included in the meta-analysis

Author (ref*)YearOriginEthnicitySNPsiteSample size(case/control)HWEMAF in controlsGenotypic ORs&Power (%) †
homozygotes/heterozygotesOR>1.5OR>2.0
Lee JM[22]2000China(Taiwan)Asianp53 Arg72Pro90/2540.4270.402.56/1.8637.580.2
Vos M[23]2003South AficanAfricanp53 Arg73Pro73/1150.2160.410.44/0.9627.063.5
Hong Y[24]2005ChinaAsianp53 Arg74Pro758/14200.1050.441.77/0.9999.4100.0
Cai L[25]2006ChinaAsianp53 Arg75Pro204/3890.1070.472.25/1.4364.897.7
Yang W[26]2008ChinaAsianp53 Arg76Pro435/5500.0000.320.39/0.0786.0100.0
Liu G[27]2009United StatesCaucasianp53 Arg77Pro302/4530.0660.261.05/01.1870.699.2
Canova C[19]2009EuropeanCaucasianp53 Arg78Pro1492/14430.6600.731.00/0.9599.6100.0

* The ref was referred to the reference numbers in this study.

& data from the same source, so selected by the latest sample size.

# NA: Not available.

& Genotypic odds ratios for homozygotes and heterozygotes.

Power was calculated by the DSTPLAN4.2 software with MAF in controls as the frequency of risk factor, OR was selected 1.5 and 2.0 as the relative risk and а=0.05 as the significance.

 Table 2 

Characteristics of published studies on GSTP1I le105Val included in the meta-analysis

Author (ref*)YearOriginEthnicitySNPsiteSample size(case/control)HWEMAF in controlsGenotypic ORs&Power (%) †
homozygotes/heterozygotesOR>1.5OR>2.0
Lin DX&[28]1998ChinaAsianGSTP1 Ile105Val42/360.3590.240.25/0.8312.328.9
Morita S[29]1998JapanAsianGSTP1 Ile106Val66/1640.4120.160.26/0.1919.249.2
van Lieshout EM[30]1999The NetherlandsCaucasianGSTP1 Ile107Val34/2470.7390.233.65/3.4416.440.7
Tan W&[31]2000ChinaAsianGSTP1 Ile108Val150/1500.6160.221.47/0.8933.577.1
Lee JM[22]2000China(Taiwan)AsianGSTP1 Ile109Val90/254NA#NA#NA#/ NA#NA#NA#
Casson AG[21]2003CanadaCaucasianGSTP1 Ile110Val45/450.0190.290.78/2.5114.635.1
Roth MJ[32]2004ChinaAsianGSTP1 Ile111Val131/4540.0570.220.79/0.8843.088.2
Casson AG[20]2006CanadaCaucasianGSTP1 Ile112Val56/950.8340.352.22/1.3621.752.7
Cai L[25]2006ChinaAsianGSTP1 Ile113Val204/3930.8720.180.46/0.9348.492.6
Murphy SJ[33]2007IrishCaucasianGSTP1 Ile114Val207/2230.2010.360.99/0.9354.094.4
Canova C[19]2009EuropeanCaucasianGSTP1 Ile115Val1471/14050.3300.320.97/1.1399.9100.0

* The ref was referred to the reference numbers in this study.

& data from the same source, so selected by the latest sample size.

# NA: Not available.

&Genotypic odds ratios for homozygotes and heterozygotes.

Power was calculated by the DSTPLAN4.2 software with MAF in controls as the frequency of risk factor, OR was selected 1.5 and 2.0 as the relative risk and а=0.05 as the significance.

As shown in Table 3, the variant homozygote (Pro/Pro) for p53 Arg72Pro was associated with a significantly increased risk of esophageal cancer (Pro/Pro versus Arg/Arg: OR=1.43, 95%CI=1.23-1.68; P = 0.10 for heterogeneity test) compared with wild-type homozygote (Arg/Arg). We also found significant main effects in the dominant genetic model ((Pro/Arg +Pro/Pro) versus Arg/Arg: OR=1.20, 95%CI=1.06-1.36; P = 0.08 for heterogeneity test; Table 3 and Figure 1). However, we failed to find any significant main effects for GSTP1 Ile105Val on esophageal cancer risk in different genetic models tested (Table 3 and Figure 2).

We further performed stratified analysis according to ethnicity (Asian and Mixed/ Caucasian group). As shown in the Table 4, we found that the increased esophageal cancer risk associated with p53 Arg72Pro polymorphism was more evident in Asian ((Pro/Arg +Pro/Pro) versus Arg/Arg: OR=1.35, 95%CI=1.14-1.60, P=0.09 for heterogeneity test). Unfortunately, we still failed to find any significant association between GSTP1 Ile105Val polymorphism and esophageal cancer risk in different ethnicity.

We used Funnel plot and Egger's test to access the publication bias of literatures. As shown in Fig. 3 A, the shape of the funnel plots seemed nonsymmetrical in the dominant genetic model for the p53 Arg72Pro, suggesting that there was significant publication bias. Egger's test was used to provide statistical evidence. As a result, the publication bias was observed slightly for p53 Arg72Pro (t=4.55, P = 0.01) but was disappeared (t=1.35, P = 0.25) when we excluded the study [26] departure from Hardy-Weinberg equilibrium. No publication bias was observed for GSTP1 Ile105Val (t=1.13, P = 0.29), we also excluded the study [21] departure from Hardy-Weinberg equilibrium and still did not found any publication bias for 28C/G (t=0.90, p=0.39).

 Table 3 

Summary ORs of p53 and GSTP1 polymorphisms and esophageal cancer risk

ComparisonNo. of CasesNo. of ControlsOR95%CIP*
p53 Arg75Pro
Pro/Arg vs Arg/Arg176128501.090.95-1.240.25
Pro/Pro vs Arg/Arg172022631.431.23-1.680.06
Pro/Pro vs (Arg/Arg+Pro/Arg)291940741.310.95-1.800.00
(Pro/Arg +Pro/Pro) vs Arg/Arg291940741.201.06-1.360.08
GSTP1 Ile106Val
Ile/Val vs Ile/Ile168719170.990.74-1.320.00
Val/Val vs Ile/Ile106312951.000,81-1.230.28
Val/Val vs (Ile/Ile+Ile/Val)188521940.950.79-1.170.57
(Ile/Val+Val/Val) vs Ile/Ile188521940.950.73-1.250.00

* Test for heterogeneity. Fixed-effects model was used when P value for heterogeneity test > 0.05; otherwise, random-effects model was used.

 Table 4 

Association between esophageal cancer risk and the p53, GSTP1 polymorphisms, stratified by ethnicity.

SNP siteStudies of available&No. of CasesNo. of ControlsOR#95%CIP*
p53 Arg72Pro
Asian[22,24,25]105220631.351.14-1.600.09
Mix[19,23,27]186820111.040.86-1.250.60
GSTP1 Ile105Val
Asian[22,25,29,31,32]64114150.990.66-1.490.00
Caucasian[19,20,30,33]176819701.060.86-1.310.02

# The OR was obtained in dominant genetic model.

* Test for heterogeneity. Fixed-effects model was used when P value for heterogeneity test > 0.05; otherwise, random-effects model was used.

& Studies of available was referred to the reference resource of the stratified variable, which data was available.

 Figure 1 

ORs (log scale) of esophageal cancer associated with p53 Arg75Pro for the Pro/Arg+Pro/Pro genotypes, compared with the Arg/Arg genotype.

Int J Med Sci Image (Click on the image to enlarge.)
 Figure 2 

ORs (log scale) of esophageal cancer associated with GSTP1 Ile106Val for the Ile/Val+Val/Val genotypes, compared with the Ile/Ile genotype.

Int J Med Sci Image (Click on the image to enlarge.)
 Figure 3 

Funnel plot analysis to detect publication bias in esophageal cancer. Each point represents a separate study for the indicated association. For each study, the OR is plotted on a logarithmic scale against the precision (the reciprocal of the SE).

Int J Med Sci Image (Click on the image to enlarge.)

Discussion

The GSTP1 gene, which encodes the GST π isoenzyme, is the most important form in the esophagus.[35] It can eliminate DNA oxidative products of thymidine or uracil propenal.[36] The 105Val form shows altered affinity and enzymatic activity for some substrates.[37-39] However, our analysis results showed there was no significant relations between GSTP1 Ile105Val polymorphism and esophageal cancer, but this conclusion was consistent with Hiyama T et al' s review.[40] These findings suggest that the GSTP1 Ile105Val genotype alone does not show any association with the susceptibility to esophageal cancer, even when stratified by subgroup. This finding is perhaps not surprising, because the functional evidence to support the role of GSTP1 Ile105Val as an esophageal cancer risk factor is not strong. Although GSTP1 may encode the GST π isoenzyme in the esophagus, positive effect for esophageal cancer frequently has been detected in those who had some environment exposures such as smoke cigarettes, alcohol drinkers or low level of dietary selenium intake. Therefore, it is reasonable to hypothesize that the GSTP1 Ile105Val polymorphism may be at best a modifier for esophageal cancer by interactive with some lifestyle and dietary habits, but is not a significant independent susceptibility factor.

The p53 tumor suppressor pathway is well-known to be crucial in maintaining genomic integrity and preventing cells from oncogenic transformation. When a cell is exposed to genotoxic stress such as DNA damage and oncogene activation, the p53 protein accumulates rapidly through posttranscriptional mechanisms and is also activated as a transcriptional factor, which leads to cell cycle arrest for DNA repair or apoptotic cell death [41]. Both mice and humans harboring germ line inactivating mutations in one p53 allele are highly susceptible to cancer: they develop cancer very early in life and at very high frequencies. [42,43]

The functional impact of this p53 polymorphism has been reported and the Arg/Arg genotype seems to induce apoptosis with faster kinetics and to suppress transformation more efficiently than the Pro/Pro genotype.[15] It was shown that p53 Pro/Pro exhibits a lower ability to induce apoptosis in vitro than p53Arg/Arg.[15] In a pilot study, Zhang et al.[44] showed that subjects carrying the p53 72Pro/Pro genotype had a >2-fold increased risk for developing esophageal cancer. These results are consistent with our present meta-analysis study. Thus, it is reasonable to hypothesize that the Arg72Pro polymorphism with reduced activity of p53 may play more important role in esophageal cancer risk.

In the present meta-analysis on the association between p53 Arg72Pro, GSTP1 Ile105Val polymorphisms and risk of esophageal cancer, we found that variant 72Pro of alleles p53 Arg72Pro could significantly increase the risk of esophageal cancer, although the association were not significantly evident in most studies individually. However, we failed to find any significant association between GSTP1 Ile105Val and esophageal cancer risk. In stratified analysis, we further observed that the association between p53 Arg72Pro and risk of esophageal cancer was remained significant in Asian population. The different effect of p53 Arg72Pro polymorphism between ethnicity may result from different genetic background and environmental exposures, which may contribute to the frequency of ethnic difference.

It is worth emphasizing that several environment exposures are regarded as risk factors of esophageal cancer, especially tobacco smoking, which is an established etiologic factor for esophageal cancer [3,45], and exposure to smoke causes genotoxic stress including DNA damage or avoids potential saturation of enzyme activity.[46,47] Several data provided some support for one hypothesis that there may be existed significant interaction between p53 Arg72Pro or GSTP1 Ile105Val polymorphism and smoking, though there were not enough report support us to make meta-analysis in current research. Studies with a larger sample size, especially including smoking or another environment factors will be helpful to confirm the findings.

Although there have been consistent findings that the p53 codon 72 Pro/Pro genotype was associated with increased esophageal SCC risk [40], it is worth mentioning that there are 2 main forms of esophageal cancer histologically, squamous cell carcinoma (SCC) and adenocarcinoma, and each has distinct etiologic and pathologic characteristics. Squamous cell is cancer located in epithelial cell of the mouth throat or lungs and adenocarcinoma is composed of cells of glandular tissue. Over the past 5 decades, many changes in the prevalence of esophageal cancer have occurred. Prior to this, SCC comprised more than 95% of esophageal malignancies [48]. In our meta-analysis, we had wanted to analysis the association between these two gene polymorphisms and risk of esophageal cancer according to the different pathological type, but most of the included research were majored on SCC, so we failed to conduct related stratified analysis. More molecular epidemiological studies on adenocarcinoma are needed to further elucidate the real association of the p53 Arg72Pro and GSTP1 Ile105Val polymorphism with esophageal carcinogenesis.

In conclusion, this meta-analysis of 13 case-control studies provided evidence that the p53 Arg72Pro polymorphism, but not the GSTP1 Ile105Val, was significantly associated with increased risk of esophageal cancer, especially in Asian. Further well-designed large studies, particularly referring to gene-gene and gene-environment interactions are warranted to confirm the real contribution of these polymorphisms to esophageal cancer susceptibility.

Conflict of Interest

None declared.

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Author contact

Corresponding address Corresponding author: J. Wang: Tel. +86-0517-8356-8701; Fax +86-0517-8377-1001; email: hyxwdcom. Y. Du: Tel. +86-0517-8356-8701; Fax +86-0517-8377-1001; email: duyunxiang82yycom.cn.


Received 2010-7-25
Accepted 2010-8-31
Published 2010-9-1