Abstract
AIM: Phase I/II enzymes metabolize environmental carcin-ogens and several functional polymorphisms have been reported in their encoding genes. Although their significance with regard to esophageal carcinogenicity has been examined epidemiologically, it remains controversial. The present systematic review of the literature was performed to clarify associations.
METHODS: Eligible studies were case-control or cohort studies published until September 2004 that were written in any language. From PubMed and a manual review of refe-rence lists in relevant review articles, we obtained 16 studies related to the CYP1A1 Ile-Val substitution in exon 7, CYP1A1 MspI polymorphisms, CYP2E1 RsaI polymorphisms, GSTM1 null type, GSTT1 null type and GSTP1 Ile104Val. All were of case-control design. Summary statistics were odds ratios (ORs) comparing heterozygous-, homozygous-non-wild type or these two in combination with the homozygous wild type, or the null type with the non-null type for GSTM1 and GSTT1. A random effect model was used to estimate the summary ORs. A meta-regression analysis was applied to explore sources of heterogeneity.
RESULTS: Individuals with the Ile-Val substitution in CYP1A1 exon 7 had increased esophageal cancer risk, with ORs (95%CI) compared with Ile/Ile of 1.37 (1.09-1.71), 2.52 (1.62-3.91) and 1.44 (1.17-1.78) for Ile-Val, Val/Val genotype and the combined group. No significant association was found between esophageal cancer risk and the other genetic parameters.
CONCLUSION: A significant association exists between the CYP1A1 Ile-Val polymorphism and risk of esophageal cancer. Polymorphisms that increase the internal exposure to activated carcinogens may increase the risk of esophageal cancer.
Keywords: CYPs, GSTs, Gene polymorphisms, Esophageal cancer, Meta-analysis
INTRODUCTION
Most environmental chemical carcinogens undergo activation by phase I enzymes, often in an oxidation reaction, and detoxication by phase II enzymes. The cytochrome P450 enzyme superfamily constitutes the majority of phase I enzymes, while the glutathione-S-transferases (GSTs) and N-acetyltransferase are primarily responsible for the detoxication of xenobiotics. The drug-metabolizing enzymes often display genetic polymorphisms, which may alter the enzyme activity and thus impact on the risk of cancer.
The enzyme CYP1A1 is involved in the activation of major classes of tobacco procarcinogens, like polyaromatic hydrocarbons and aromatic amines, and is present in many epithelial tissues[1]. CYP1A1 Ile-Val substitution in the heme-binding region results in a two-fold increase in microsomal enzyme activity and is in complete linkage disequilibrium in Caucasians with the CYP1A1 MspI polymorphism, which has also been associated experimentally with increased catalytic activity[2]. CYP2E1 is primarily responsible for the metabolic activation of many low molecular weight carcinogens[3], including certain nitrosamines, which may be involved in carcinogenesis of the esophagus. This enzyme is also believed to participate in the oxidation of other compounds, such as ethanol, to produce reactive free radicals that may initiate lipid peroxidation and consequently influence carcinogenesis[4]. The variant c2 allele recognized by RsaI digestion in the 5’-flanking region of the gene appears to be associated with decreased enzyme activity[5].
GSTs are a family of multifunctional enzymes which metabolize a variety of xenobiotics with a large overlap in the substrate specificity. Individuals who are homozygous for the null GSTM1 or null GSTT1 alleles lack the respective enzyme functions[6,7]. GSTP1 is a major GST isoform expressed in human esophagus[8], which can eliminate DNA oxidative products of thymidine or uracil propenal[9]. After induction by cytochrome P450, some cigarette-related carcinogens, such as benzo[a]pyrene diol epoxide and acrolein, can also be eliminated by GSTP1[10]. The Ile-Val substitution at residue 104 may be associated with a higher level of DNA adducts[11], thus increasing the susceptibility to cancer induction.
Therefore, the CYP1A1 Val allele, the CYP1A1 MspI non-wild allele, the null type of GSTM1 and GSTT1 as well as the GSTP1 Val allele may increase the risk of esophageal cancer, while the CYP2E1 c2 allele (recognized by RsaI digestion) may decrease the risk. Based on the possible biological significance of CYP1A1, CYP2E1, GSTM1, GSTT1 and GSTP1 polymorphisms on cancer susceptibility, several epidemiologic studies have been conducted to assess their association with esophageal cancer. However, most studies featured only small samples and the results were not always consistent. To obtain a better understanding of the significance of gene polymorphisms with regard to esophageal cancer risk, we performed a systematic review of all the relevant studies published in the literature.
MATERIALS AND METHODS
Selection of studies
Before the study, we defined inclusion criteria as follows: (1) any study design giving relative risk (an OR or a risk ratio) for candidate gene (CYP1A1, CYP2E1, GSTM1, GSTT1, and GSTP1) polymorphisms regarding the risk of esophageal cancer (including both squamous cell carcinomas and adenocarcinomas); (2) inclusion of non-cancer or disease-free subjects as a control group; (3) already published in any language but cited in PubMed.
All the studies were obtained via PubMed using key words “CYP1A1”, “CYP2E1”, “GSTM1”, “GESTT1” and “GSTP1” in combination with “esophageal cancer” to identify potentially relevant articles. A total of 45 articles were captured, and 21, 28, 20, 12, and 12 were related to CYP1A1, CYP2E1, GSTM1, GSTT1, and GSTP1, respectively. We selected all the studies, which provided a relative risk with the candidate gene.
We examined abstracts of all the candidate articles to decide whether to include/exclude in the further detailed review. Thereby, we excluded a total of 22 studies due to inappropriate study design; among them, 8, 18, 5, 4, and 4 were related to CYP1A1, CYP2E1, GSTM1, GSTT1, and GSTP1, respectively. Among the 22 excluded articles, five were reviews[1, 12-15], three concerned the expression of cytochrome P450 (CYPs) in esophageal mucosa[16-18], four covered animal experiments[19-22], three compared gene polymorphism frequencies among different populations[23-25], one focused on the metabolism of N-nitrosobenzylmethylamine by human cytochrome P450 enzyme[26], one was related to gastric cancer, not esophageal cancer[27], and other five were incompatible with the inclusion criteria[28-32].
Other studies were further excluded based upon detailed review because in three cases[33-35] they were the same study as in two other papers[36]. The newest two studies were retained for the analysis. Three more studies were excluded because they did not provide relevant information required for our analysis. Most of them did not apply subjects with other diseases as control groups and did not provide relative risk of esophageal cancer for candidate gene polymorphisms[37-39]. One study was excluded since it was the only example which examined associations between a tandem repeat polymorphism of CYP2E1 and the risk of cancer[40].
Finally, a total of 16 case-control studies were included in the meta-analysis (Table 1), 9, 5, 12, 6 and 7 concerning CYP1A1, CYP2E1, GSTM1, GSTT1 and GSTP1, respectively. All the potentially relevant articles were reviewed by two independent investigators (Y.CX. and M.K.).
Table 1.
Summary of studies included in the analysis of CYP1A1, CYP2E1, GASTM1, GSTT1 and GSTP1.
| Study | Yr | Study design | Cases Mean age | Controls Mean age | Cases Man (%) | Controls Man (%) | Polymorphisms | Result | Adjusted factors | Reference |
| Hori H | 1997 | 2 | NA | NA | 78 (83) | NA | CYP1A1, MspI | NS | 42 | |
| CYP1A1, IIe-Val | NS | |||||||||
| GSTM1 | NS | |||||||||
| CYP2E1, Rsal | NS | |||||||||
| Nimura Y | 1997 | 1 | NA | NA | 67 (75) | 76 (55) | CYP1A1, IIe-Val | S | 43 | |
| GSTM1 | NS | |||||||||
| Morita S | 1997 | 2 | 62.2 | 50.5 | 45 (85) | 112 (85) | CYP1A1, IIe-Val | NS | 44 | |
| CYP2E1, Rsal | NS | |||||||||
| GSTM1 | NS | |||||||||
| Morita S | 1998 | 2 | 62.1 | 49.8 | 56 (85) | 102 (62) | GSTP1 | S | 45 | |
| Lin DX | 1998 | NA | 55.5 | 53.3 | 27 (60) | 23 (50) | CYP2E1, Rsal | S | Adjusted by age and sex | 36 |
| CYP2E1,Dral | NS | |||||||||
| GSTM1 | NS | |||||||||
| GSTT1 | NS | |||||||||
| GSTP1 | NS | |||||||||
| Van Lieshout EM | 1999 | 2 | NA | 52 | 27 (79) | 98 (40) | CYP1A1, MspI | S | 46 | |
| CYP1A1, IIe-Val | NS | |||||||||
| GSTM1 | NS | |||||||||
| GSTT1 | NS | |||||||||
| GSTP1 | S | |||||||||
| Shao G | 2000 | 2 | 55 | 53 | 74 (69) | 80 (72) | CYP1A1, IIe-Val | NS | 47 | |
| GSTM1 | S | |||||||||
| Lee JM | 2000 | 2 | NA | NA | 82 (91) | 228 (89) | GSTP1 | NS | Adjusted by potential factors | 48 |
| Tan W | 2000 | 2 | 54.5 | 53.6 | 99 (66) | 99 (66) | CYP2E1, Rsal | S | Adjusted by age, sex and smoking | 49 |
| GSTM1 | S | |||||||||
| GSTT1 | NS | |||||||||
| GSTP1 | NS | |||||||||
| Wu M-T | 2002 | 1 | 60.6 | 61.2 | 133 (91) | 298 (92) | CYP1A1, MspI | NS | Adjusted by age, sex, smoking and alcohol, etc. | 50 |
| CYP1A1, IIe-Val | S | |||||||||
| Gao CM | 2002 | 2 | NA | NA | 55 (59) | 131 (66) | CYP2E1, Rsal | NS | Adjusted by age, sex and potential factors | 51 |
| Yokoyama A | 2002 | 2 | 61.7 | 58.8 | 234 (100) | 634 (100) | GSTM1 | NS | 52 | |
| Gao CM | 2002 | 2 | NA | NA | 78 (55) | 149 (67) | GSTM1 | S | Adjusted by age and sex | 53 |
| GSTT1 | NS | |||||||||
| Wang LD | 2003 | 2 | NA | NA | 32 (53) | NA | CYP1A1, MspI | NS | 54 | |
| CYP1A1, IIe-Val | NS | |||||||||
| GSTM1 | NS | |||||||||
| GSTT1 | NS | |||||||||
| GSTP1 | NS | |||||||||
| Casson AG | 2003 | 2 | NA | NA | 38 (84) | 38 (84) | CYP1A1, MspI | NS | Adjusted by age, sex and smoking | 55 |
| CYP1A1, IIe-Val | NS | |||||||||
| GSTM1 | NS | |||||||||
| GSTT1 | NS | |||||||||
| GSTP1 | S | |||||||||
| Wang AH | 2004 | 1 | NA | NA | 97 (76) | 78 (77) | CYP1A1, IIe-Val | S | 37 | |
| GSTM1 | S |
1: Population-based case-control study, 2: hospital-based case-control study. NA, not available; NS, not significant (P>0.05); S, significant (P<0.05).
We also tried to use “esophageal” combined with candidate genes as keywords to search for much more relevant articles as well as check the reference lists in the reviews and selected original investigations and found no additional eligible articles.
Data abstraction
Two investigators using a standard information extraction form independently abstracted data. Characteristics abstracted from the articles included the name of the first author, year of publication, location of the study, study design, mean age for all cases and controls, the percentage of males in the case and control groups, matched factors as well as adjusted factors; number of cases, number of controls, number of cases and controls with each genotype of candidate polymorphisms, and overall crude or adjusted odds ratios (ORs) with their 95%CI. For one study[41], which supplied the result for both present controls and total controls (including historic control and the present control), total control data were selected for our meta-analysis.
Statistical analysis
The STATA statistical package (version 8, stata, College Station, TX) was used for the meta-analysis. The homozygous wild type was used as the reference group for CYP1A1, CYP2E1 and GSTP1, and the non-null type for GSTM1 and GSTT1. With four papers[36,44,47,48] whose reference groups were defined in the opposite way, the ORs were inverted for our analysis. Adjusted ORs were employed for the present meta-analysis if available in the reports, otherwise, crude ORs were used. Since some of the original studies did not provide the ORs but the genotype frequencies were available, crude ORs were then calculated and employed for our meta-analysis. A random-effect model was applied to obtain summary ORs and their 95%CIs since the results with fixed-effect models are the same as with random-effect models if there is no heterogeneity across the studies. A random-effect model should be applied if heterogeneity exists. Publication bias was graphically assessed by funnel plots and statistically assessed by Egger’s test. Meta-regression analysis was applied to explore potential sources of heterogeneity. The factors, study design, Chinese population (yes/no), Asian population (yes/no), publication year (after 2000 or not), number of cases and controls (both greater than 100 or not) and matching (matched for sex and age or not) were examined. Statistical significance was defined as a P-value less than 0.05 except for meta-regression analyses, which used a P-value 0.10 because of the relatively weak statistical power.
RESULTS
In the final analysis, we had a total of 16 case-control studies consisting of 3 hospital-based (controls selected from non-cancer patients), 12 population-based (controls selected from the healthy population) and 1 without a clear type. Among them, 9 were studies of the CYP1A1 exon 7 Ile-Val substitution, 1[53] without any Ile-Val substitution in either cases and controls, 5 concerned the CYP1A1 MspI polymorphism, 5 the CYP2E1 Rsal polymorphism, 12 the GSTM1 null type, 6 the GSTT1 null type and 7 the GSTP1 Ile-Val substitution (Table 1).
For CYP1A1 exon 7 Ile-Val substitution, all ORs for the Ile/Val genotype and the combined group were larger than 1 when compared with the Ile/Ile genotype, although only one study demonstrated a significantly increased risk. In three of eight cases, the Val/Val genotype was associated with significantly increased ORs (Table 2). The meta-analysis with a total of 754 cases and 1563 controls showed significantly increased ORs of 1.37 (1.09-1.71), 2.52 (1.62-3.91) and 1.44 (1.17-1.78) for Ile-Val and Val/Val genotypes and the combined group, respectively. There was no heterogeneity across the studies, so that the results for the fixed-effect model were the same as for the random-effect model for CYP1A1 exon 7 Ile-Val substitution. In contrast, no significantly increased risk of esophageal cancer was observed for the CYP1A1 MspI polymorphism.
Table 2.
Summary of the meta-analysis of CYP1A1, CYP2E1, GSTP1 and esophageal cancer risk.
| Study | Country | Cases | Control | Cases wt/wt | Cases hetero1 | Cases homo1 | Control wt/wt1 | Control hetero1 | Control homo1 | OR1 (95%CI)23 | OR2 (95%CI)23 | OR3 (95%CI)23 |
| CYP1A1 Ile-Val: | ||||||||||||
| Hori H | Japan | 91 | 428 | 52 | 37 | 2 | 275 | 133 | 20 | 1.47 (0.89-2.41) | 0.53 (0.06-2.29) | 1.35 (0.83-2.19) |
| Nimura Y | China | 89 | 137 | 50 | 26 | 13 | 92 | 38 | 7 | 1.26 (0.65-2.41) | 3.42 (1.17-10.72) | 1.59 (0.89-2.87) |
| Morita S | Japan | 53 | 132 | 32 | 20 | 1 | 80 | 49 | 3 | 1.02 (0.49-2.08) | 0.83 (0.02-10.84) | 1.0 (0.5-1.9) |
| van Lieshout EM | Netherlands | 34 | 247 | 26 | 8 | 0 | 207 | 37 | 3 | 1.72 (0.62-4.30) | 0 (0-10.62) | 1.59 (0.58-3.95) |
| Shao G | China | 107 | 111 | 43 | 56 | 8 | 55 | 51 | 5 | 1.40 (0.78-2.53) | 2.05 (0.54-8.49) | 1.46 (0.83-2.59) |
| Wu M-T | Taiwan | 146 | 324 | 68 | 62 | 16 | 179 | 127 | 18 | 1.34 (0.86-2.07)4 | 2.48 (1.15-5.34)4 | 1.42 (0.94-2.14) |
| Wang LD | China | 62 | 38 | 30 | 28 | 4 | 20 | 16 | 2 | 1.17 (0.47-2.93) | 1.33 (0.17-15.97) | 1.19 (0.49-2.88) |
| Casson AG | Canada | 45 | 45 | 45 | 0 | 0 | 45 | 0 | 0 | NA6 | NA6 | NA6 |
| Wang AH | China | 127 | 101 | 21 | 56 | 50 | 31 | 48 | 22 | 1.72 (0.83-3.58) | 3.35 (1.49-7.61) | 2.24 (1.14-4.43) |
| Meta-analysis results | 754 | 1563 | 367 | 293 | 94 | 984 | 499 | 80 | 1.37 (1.09-1.71) | 2.52 (1.62-3.91) | 1.44 (1.17-1.78) | |
| CYP1A1 MspI: | ||||||||||||
| Hori H | Japan | 94 | 242 | 33 | 50 | 11 | 106 | 97 | 39 | 1.66 (0.96-2.88) | 0.91 (0.38-2.06) | 1.44 (0.86-2.44) |
| van Lieshout EM | Netherlands | 34 | 247 | 22 | 12 | 0 | 207 | 37 | 3 | 3.05 (1.26-7.08) | 0 (0-12.63) | 2.82 (1.17-6.51) |
| Wu M-T | Taiwan | 146 | 324 | 60 | 65 | 21 | 136 | 146 | 42 | 0.98 (0.63-1.53)4 | 1.24 (0.65-2.36)4 | 1.04 (0.68-1.57) |
| Casson AG | Canada | 45 | 45 | 38 | NA | NA | 33 | NA | NA | NA | NA | 0.6 (0.2-1.8)4 |
| Wang LD | China | 62 | 38 | 33 | 25 | 4 | 12 | 22 | 4 | 0.41 (0.16-1.08) | 0.36 (0.06-2.33) | 0.41 (0.16-1.02) |
| Meta-analysis results | 381 | 896 | 186 | 152 | 36 | 494 | 302 | 88 | 1.21 (0.64-2.32) | 1.02 (0.62-1.68) | 1.07 (0.64-1.80) | |
| CYP2E1: | ||||||||||||
| Hori H | Japan | 79 | 633 | 49 | 24 | 6 | 412 | 202 | 19 | 1.00 (0.57-1.72) | 2.66 (0.83-7.33) | 1.14 (0.68-1.89) |
| Morita S | Japan | 53 | 132 | 34 | 18 | 1 | 85 | 42 | 5 | 1.07 (0.51-2.22) | 0.50 (0.01-4.72) | 1.0 (0.5-2.0) |
| Lin DX | China | 45 | 45 | 36 | 6 | 3 | 20 | 22 | 3 | 0.15 (0.04-0.48) | 0.56 (0.07-4.59) | 0.21 (0.08-0.56)4,5 |
| Tan W | China | 150 | 150 | 107 | 31 | 12 | 66 | 77 | 7 | 0.25 (0.14-0.43) | 1.06 (0.36-3.34) | 0.31 (0.24-0.40)4,5 |
| Gao CM | China | 93 | 196 | 55 | 31 | 7 | 121 | 62 | 13 | 1.13 (0.60-2.13)4 | 1.23 (0.40-3.77)4 | 1.15 (0.64-2.07)4 |
| Meta-analysis results | 420 | 1156 | 281 | 110 | 29 | 704 | 405 | 47 | 0.59 (0.28-1.23) | 1.33 (0.72-2.44) | 0.63 (0.30-1.30) | |
| GSTP1: | ||||||||||||
| Morita S | Japan | 66 | 164 | 61 | 5 | 0 | 113 | 48 | 3 | 0.19 (0.07-0.52) | 0 (0-4.6) | 0.13 (0.04-0.45)5 |
| Lin DX | China | 42 | 36 | 29 | 12 | 1 | 22 | 11 | 3 | 0.83 (0.28-2.51) | 0.25 (0.005-3.48) | 0.7 (0.3-1.8) |
| van Lieshout EM | Netherlands | 34 | 247 | 10 | 21 | 3 | 146 | 89 | 12 | 3.44 (1.47-8.55) | 3.65 (0.56-16.82) | 3.47 (1.51-8.46) |
| Lee JM | Taiwan | 90 | 254 | 65 | NA | NA | 160 | NA | NA | NA6 | NA6 | 0.65 (0.39-1.11)4,5 |
| Tan W | China | 150 | 150 | 93 | 48 | 9 | 91 | 53 | 6 | 0.89 (0.53-1.48) | 0.95 (0.58-1.55) | 1.0 (0.8-1.3) |
| Wang LD | China | 62 | 38 | 29 | 30 | 3 | 24 | 13 | 1 | 1.91 (0.76-4.89) | 2.48 (0.18-135.66) | 1.95 (0.79-4.87)4 |
| Casson AG | Canada | 45 | 45 | 19 | 22 | 4 | 26 | 12 | 7 | 2.5 (1.0-6.3) | 0.8 (0.2-3.1) | 1.8 (0.8-4.3)4 |
| Meta-analysis results | 489 | 934 | 306 | 138 | 20 | 582 | 226 | 32 | 1.17 (0.55-2.49) | 1.02 (0.65-1.58) | 1.01 (0.60-1.70) |
“wt” allele was defined for each polymorphism as follows: the IIe allele for CYP1A1 IIe-Val and GSTP1 Ile-Val, the *1 allele for CYP1A1 MspI, and c1 for CYP2E1. Non-“wt” allele was defined as follows: the Val allele for CYP1A1 IIe-Val and GSTP1 Ile-Val, the *2 allele for CYP1A1 MspI and c2 for CYP2E1. “wt/wt”, “hetero”, and “homo” indicate homozygous for “wt” allele, heterozygous, and homozygous for non-“wt” allele, respectively.
“wt/wt” was defined as the reference group and OR1, OR2, and OR3 for heterozygous, non-“wt” homozygous and the combination of heterozygous and non-“wt” homozygous groups.
All the ORs were crude values calculated from the genotype distribution except in places denoted by4,5.
indicates cases where adjusted OR in the report was used and 5indicates where the OR value was inverted.
NA: not available.
For CYP2E1, two out of five investigations suggested that the c2 allele may significantly decrease the risk with adjusted ORs (95%CI) of 0.31 (0.24-0.40) and 0.21 (0.08-0.56) for the homozygous and combined group, respectively. The meta-analysis showed non-significantly decreased ORs for the c1/c2 and combined group (Table 2). For GSTPP1, one of seven showed significantly increased risk with ORs (95%CI) of 3.44 (1.47-8.55), 3.65 (0.56-16.82) and 3.47 (1.51-8.46) for the hetero, homo and combined group, respectively, while one indicated an opposite association. Another study showed a marginally increased OR for the hetero of 2.5 (1.0-6.3) but the meta-analysis generated a null result (Table 2). For GSTM1, 3 of 12 studies showed the null type to significantly increase the risk but the meta-analysis failed to confirm this result (Table 3). For GSTT1, all the studies were homogenous and both the fixed-effect and random-effect models generated the same result. All the studies and the meta-analysis found no relationship between this gene polymorphism and risk of esophageal cancer (Table 3).
Table 3.
Summary of the meta-analysis of GSTM1, GSTTI and esophageal cancer risk.
| Study | Country | Cases | Controls | Case | Case | Control | Control | OR (95%CI) |
| GSTM1: | Non-null | Null | Non-null | Null | ||||
| Hori H | Japan | 94 | 428 | 53 | 41 | 232 | 196 | 0.92 (0.57-1.47) |
| Nimura Y | China | 89 | 137 | 42 | 47 | 74 | 63 | 1.31 (0.74-2.32) |
| Morita S | Japan | 53 | 132 | 30 | 23 | 77 | 55 | 1.1 (0.6-2.0) |
| Lin DX | China | 45 | 45 | 25 | 20 | 24 | 21 | 1.0 (0.4-2.3)3 |
| van Lieshout EM | Netherlands | 34 | 247 | 17 | 17 | 119 | 128 | 0.93 (0.42-2.04) |
| Shao G | China | 107 | 111 | 68 | 39 | 56 | 55 | 1.76 (1.03-2.74) |
| Tan W | China | 150 | 150 | 104 | 46 | 74 | 76 | 0.43 (0.33-0.56)34 |
| Yokoyama A | Japan | 234 | 634 | 131 | 103 | 313 | 321 | 0.77 (0.56-1.05) |
| Gao CM | China | 141 | 223 | 35 | 106 | 90 | 133 | 2.17 (1.35-3.50)3 |
| Wang LD | China | 62 | 38 | 35 | 27 | 19 | 19 | 0.77 (0.32-1.88) |
| Casson AG | Canada | 45 | 45 | 19 | 26 | 20 | 25 | 1.1 (0.5-2.7)3 |
| Wang AH | China | 127 | 101 | 53 | 74 | 57 | 44 | 1.81 (1.03-3.18) |
| Meta-analysis | results | 1181 | 2291 | 612 | 569 | 1155 | 1136 | 1.07 (0.76-1.51) |
| GSTT1: | ||||||||
| Lin DX | China | 45 | 45 | 26 | 19 | 22 | 23 | 0.7 (0.3-1.5)3 |
| van Lieshout EM | Netherlands | 34 | 247 | 28 | 6 | 198 | 49 | 0.87 (0.28-2.29) |
| Tan W | China | 150 | 150 | 90 | 60 | 91 | 59 | 1.11 (0.83-1.43)34 |
| Gao CM | China | 141 | 223 | 67 | 74 | 104 | 119 | 0.90 (0.59-1.39)3 |
| Wang LD | China | 62 | 38 | 28 | 34 | 18 | 20 | 1.09 (0.45-2.65) |
| Casson AG | Canada | 45 | 45 | 37 | 8 | 33 | 12 | 0.6 (0.2-1.7)3 |
| Meta-analysis results | 477 | 748 | 276 | 201 | 466 | 282 | 0.99 (0.80-1.22) |
1Non-null genotype as the reference group. 2All the ORs were crude values calculated from the genotype distribution except in places denoted by3, 4.
indicates cases where the adjusted OR in the report was used and
where the OR value was inverted.
We also examined publication bias for each polymorphism and only the GSTM1 polymorphism showed a significant existence. Regarding CYP1A1 Ile-Val, the test was far from statistically significant. In addition, the source of heterogeneity was examined by meta-regression analysis for potential factors such as Asian and Chinese population, publication year, study design, and matching. No obvious source of heterogeneity was identified except studies in Asian populations for the GSTP1 polymorphism (Table 4).
Table 4.
Results of meta-regression analysis and Egger’s test for publication bias.
| Number of studies | Egger’s test Forpublication bias1 P |
Results of meta-regression test |
|||||
| Asian Yes/no Coefficient3 | Chinese Yes/no Coefficient3 | Publication Year Coefficient3 | Design 1 or 22 Coefficient3 | Matching Yes/no Coefficient3 | |||
| CYP1A1 Ile-Val | 8 | 0.96 | -0.1 | 0.19 | 0.11 | -0.2 | -0.22 |
| CYP1A1 MspI | 5 | 0.96 | -0.42 | -0.67 | -0.9 | 0.01 | -0.01 |
| CYP2E RsaI | 5 | 0.32 | 1 | -0.89 | 0.76 | 1.3 | -0.13 |
| GSTM1 | 12 | 0.04 | 0.06 | 0.21 | 0.25 | -0.34 | -0.16 |
| GSTT1 | 6 | 0.11 | 0.34 | 0.34 | -0.16 | 0.37 | 0.16 |
| GSTP1 | 7 | 0.99 | -1.254 | -0.07 | 0.88 | 0.4 | 0.02 |
1P-value of Egger’s test for publication bias. 2Study design: 1: population-based case-control study, 2: hospital-based case-control study.
Coefficient in the meta-regression analysis indicates the summary OR change in the value for that factor. For example, the OR for studies examining CYP1A1 Ile-Val polymorphism only among Asian population is the value of (summary OR-0.1). 4Indicates statistical significance at the level of P<0.10.
DISCUSSION
In this systematic review, we found a significant association between the CYP1A1 Ile-Val polymorphism and the risk of esophageal cancer, while failing to detect links with other gene polymorphisms examined.
The CYPs superfamily, which plays a central part in the metabolism of carcinogens through activating oxidation reactions, may be expressed in esophageal mucosa[16-18]. The CYP1A1 Ile-Val substitution in exon 7 results in a two-fold increase in microsomal enzyme activity[2] and therefore the Val allele would be expected to increase the susceptibility to esophageal cancer. In fact, our results are in line with eight of the studies previously published, although five of them failed to find a significant association, possibly because of small sample sizes (Table 2). One meta-(OR for Val/Val genotype, 1.62 (0.93-2.82)) and one pooled analysis (OR for Val/Val genotype, 1.54 (0.97-1.46)) of lung cancers and another of head and neck cancer (OR for Val/Val type, 1.35 (0.95-1.82)) also showed that the CYP1A1 Val allele may increase cancer risk, although this was not significant[54-56]. MspI polymorphisms in the 3’-flanking region of the CYP1A1 are completely linked with the Ile-Val substitution in exon 7 in Caucasians, which has also been associated experimentally with increased catalytic activity[2]. However, this complete linkage between MspI and Ile-Val substitution could not been found in Asian population[41,49]. The previous five studies on this polymorphism and esophageal cancer risk showed different results. Only one study in Caucasians showed the MspI non-wild allele, which was completely linked with the Val allele in control group to significantly increase the risk of esophageal cancer (Table 2). The meta-analysis showed no significance with ORs around unity (Table 2). This may be because the MspI polymorphism itself does not alter activity of the CYP1A1 enzyme. Increased enzyme activity[2] and susceptibility to esophageal cancer[45] in Caucasians may be because of the high association between the MspI polymorphism and the Ile-Val substitution in exon 7. This should be clarified in further studies.
In contrast to CYP1A1, no association was found in the present meta-analysis with the CYP2E1 c2 allele. CYP2E1 is primarily responsible for metabolic activation of many low molecular weight carcinogens[3], including certain nitrosamines, which may be involved in carcinogenesis of the esophagus. The variant c2 allele appears to be associated with decreased enzyme activity[5]. Possible explanations for the lack of any association found here include (1) a small number of studies, (2) greater influence of other polymorphisms in CYP2E1 such as Dral and tandem repeat polymorphisms and (3) difference in exposure level to xenobiotics across the study populations. These issues must be considered in future investigations.
We also failed to find any association with GST gene polymorphisms. GSTM1 and GSTT1 null type cannot encode functional enzymes and therefore affected individuals would be expected to be more vulnerable to carcinogens. The GSTP1 Ile104Val substitution may also change the enzyme activity of GSTP1 and modulate susceptibility. A meta- and pooled analyses on head and neck cancer showed GSTM1 (OR = 1.32, 95%CI, 1.07-1.62) and GSTT1 (OR = 1.25, 95%CI, 1.00-1.57) to modestly increase susceptibility[54], but most previous studies on esophageal cancer and our meta-analysis failed to find any relationship. Possible explanations include (1) significance of these enzymes may vary with the cancer site; (2) GSTs metabolize a variety of xenobiotics with a large overlap in the substrate specificity and individuals lacking only one functional enzyme also can metabolize the carcinogens by other GST enzymes; and (3) publication bias may exist together with heterogeneity across studies, which may decrease the statistical power.
As is often the case with meta-analyses, there were several limitations to the present study. Possible sources of heterogeneity, such as differences in study design, publication year and countries/ethnicities, must be considered although meta-regression did not demonstrate the existence of any significant variation except in ethnicity for GSTP1. Possible publication bias is another threat for our summary ORs, although it was detected only for GSTM1. In addition, as adjusted ORs are much more accurate than crude ORs but not available for certain studies, and adjusted and matching factors differed across the studies, residual confounding might have influenced our analysis. Finally, literature-based meta-analysis rather than individual data-based meta-analysis could be a potential source of bias.
In conclusion, we found here a significant association between the CYP1A1 Ile-Val polymorphism and the risk of esophageal cancer by systematic review. Harboring the Val allele, expected to increase the internal exposure to activated carcinogens, thus appears to elevate the risk of esophageal cancer.
ACKNOWLEDGMENTS
The first author, Chun-Xia Yang, was the recipient of a “Special Japan-China Sasakawa Medical Fellowship” during the period of research for and compilation of this paper.
Footnotes
Science Editor Guo SY Language Editor Elsevier HK
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