Shen J, Wang RT, Xu YC, Wang LW, Wang XR. Interaction models of CYP1A1, GSTM1 polymorphisms and tobacco smoking in intestinal gastric cancer. World J Gastroenterol 2005; 11(38): 6056-6060 [PMID: 16273625 DOI: 10.3748/wjg.v11.i38.6056]
Corresponding Author of This Article
Dr. Jing Shen, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 701 West 168th Street (Room 505), New York, NY 10032, USA. js2182@columbia.edu
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Jing Shen, Yao-Chu Xu, Xin-Ru Wang, Department of Epidemiology and Biostatistics, Schoolof Public Health, Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
Jing Shen, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
Run-Tian Wang, Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100083, China
Li-Wei Wang, Yang Zhong Cancer Research Institute, Yang Zhong City Municipal Hospital, Yang Zhong 212200, China
ORCID number: $[AuthorORCIDs]
Author contributions: All authors contributed equally to the work.
Supported by the National Natural Science Foundation of China, No. 30170827 and 30070671
Correspondence to: Dr. Jing Shen, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 701 West 168th Street (Room 505), New York, NY 10032, USA. js2182@columbia.edu
Telephone: +1-212-3058158 Fax: +1-212-3055328
Received: January 7, 2004 Revised: April 1, 2005 Accepted: April 2, 2005 Published online: October 14, 2005
Abstract
AIM: To explore the interaction models of the cytochrome P-450 (CYP) 1A1 Val variant and glutathione S-transferase (GST) M1 null polymorphisms with tobacco smoking in the occurrence of intestinal gastric cancer.
METHODS: A community-based case-control study was conducted in Yangzhong. Subjects included 114 intestinal types of gastric cancer with endoscopic and pathological diagnosis during January 1997 and December 1998, and 693 controls selected from their spouse, siblings or siblings-in-law who had no history of digestive system cancer. Logistic regression was used to estimate the interaction models.
RESULTS: The frequency of the CYP1A1 Val variant allele in cases did not differ from that in controls. The OR of GSTM1 null genotype was 2.0 (95% confidence interval [95%CI]: 1.2-3.1, P<0.01). It showed a significant type 2 form of interaction model when both CYP1A1 Valvariant allele and former tobacco smoking existed (i.e., among the multiplicative effects, the disease risk is increased by the tobacco exposure alone but not by the CYP1A1 variant alone). The interaction index g was 2.8, and OReg(95%CI) was 5.0 (1.9-13.4). GSTM1 null genotype and former tobacco smoking were significant in a type 4 interaction model (i.e., the disease risk is increased by GSTM1 null genotype or tobacco exposure alone among the multiplicative effects). The interaction index g and OReg (95%CI) were 3.4 and 8.4 (3.4-20.9), respectively.
CONCLUSION: Different interaction models of CYP1A1 Val variant allele and GSTM1 null genotype with tobacco smoking will contribute to understanding carcinogenic mechanism, but there is a need to further investigate in larger scale studies.
Citation: Shen J, Wang RT, Xu YC, Wang LW, Wang XR. Interaction models of CYP1A1, GSTM1 polymorphisms and tobacco smoking in intestinal gastric cancer. World J Gastroenterol 2005; 11(38): 6056-6060
Worldwide, gastric cancer is the second in rank overall (798 000 new cases per year), and ranks second in males, fourth in females. It remains the most common malignancy in many countries of the world[1,2] though the frequency of incidence and mortality is declining in almost all populations. Thirty-eight percent of gastric cancer cases occurred in China, where it remains to be most common and is the leading cause of cancer death in both sexes[1]. Yangzhong is among the areas with the highest gastric cancer mortality and incidence rate in south-east of China[3]. The crude mortality rate of gastric cancer changed from 96.9 to 110.9/100 000 during 1991 and 1997, and the average adjusted incidence rate in the same period was over 115/100 000 (unadjusted rate is 155.5/100 000). Previous studies have shown that high incidence rate of gastric cancer is associated with exposure to environmental factors (tobacco, alcohol consumption, and H pylori infection), and individual susceptibility[2,4].
Genetic polymorphisms in cytochrome P-450 (CYP) 1A1 and glutathione S-transferase (GST)M1 genes that metabolize known and potentially carcinogenic environmental exposures may affect enzymatic activities and alter an individual€™s ability to metabolize pro-carcinogenic and related compounds, which may change the biologic effect of exposures[5]. A large number of studies have examined the role of polymorphisms in CYP1A1, GSTM1, and cancer risk, including gastric cancer[6-10], but the results are equivocal[11-14]. The interaction between GSTM1 null genotype and tobacco smoking for the risk of gastric cancer has only been explored in three studies, with inconsistent evidence of departure from a multiplicative model, possibly because of the small size (70, 91, and 136 gastric cancer cases, respectively), and the gene-environmental interaction (GEI) models best describing the risk of gastric cancer is not clear[6,11,14]. For this reason, we conducted a community-based case-control study in a Chinese population. Genetic polymorphisms in CYP1A1 and GSTM1 were analyzed to test the hypothesis that these genotypes have different interaction models with tobacco smoking in the development of intestinal gastric cancer.
MATERIALS AND METHODS
Subjects
All gastric cancer patients and controls in this study are Han ethnic Chinese selected fromYangzhong County. Gastric cancer was prevalent in cases diagnosed according to International Classification of Diseases for Oncology IX, code = 151, and classified by the criteria of Laurén[15]. One hundred and fourteen intestinal gastric cancer patients (76 men and 38 women; mean age and SD 59.4±9.9 years) were identified by endoscopic and pathological diagnosis in Yangzhong City Municipal Hospital from January 1997 to December 1998. To reduce misclassification of the histological types, two pathologists reviewed and confirmed all diagnosed cases. Controls were selected from case's siblings (150 male and 140 female) and non-blood relatives (403 spouses and the siblings-in-law, 160 male and 243 female) without digestive tract cancers. Both kinds of controls differed slightly in demographic features, and their results were combined to increase the sample size and decrease type I error. The study was approved by the regional ethics committees of Yangzhong. All participants were given an explanation of the study and informed consent was obtained. Study subjects completed a questionnaire administered by specially trained interviewers through a face-to-face interview. The questionnaire was designed to elicit detailed information on tobacco smoking habit, alcohol drinking habit, family history of cancer, and occupational exposures. Cigarette smokers were defined as subjects who reported smoking of at least one cigarette per day for 1 year or more, or whose accumulated tobacco cigarette consumption was over 18 packs per year. Former smokers were those who had stopped smoking for one or more years before the interview. Cumulative smoking exposure (pack years) was defined as one pack per day for 1 year equals 1 pack years.
CYP1A1 and GSTM1 genotypes
DNA extraction was performed using Puregene DNA isolation kits (Gentra Systems, Minneapolis,MN, USA). PCR-RFLP approach was used to detect the 7th CYP1A1 Ile/Val variant at position 4 889. PCR was used to amplify the transcription regulatory region of CYP1A1 that includes the restriction enzyme recognition site for HincII. The two allele-specific primers are respectively F5'-TCCT ACCTG-AACGGTTTCTCACCC-3' (Tm = 63.0) and R5'-TTTTTTTTTTTGAAAGACCTCCCAGG GGTCA-3' (Tm = 65.1) modified from those previously reported[16]. The homozygous null polymorphism of GSTM1 was determined using a PCR approach as previously reported[16].
Statistical analysis
The relative associations between cases and controls were assessed by crude odds ratio (OR), interaction OReg and the corresponding 95%CI. Unconditional logistic regression analysis was performed to assess the association between the CYP1A1 Ile/Val and GSTM1 null polymorphism and intestinal gastric cancer after adjusting for confounding factors. All models included as co-variables: gender, age (entered as a continuous variable), living areas (relative lower or higher incidence areas in Yangzhong), education level (years), former tobacco smoking, former alcohol drinking, BMI (weight [kg]/height [m2]) and family history of cancer. Test of trend was calculated through logistic models based on semi-continuous and dummy variables. A common way to describe the interaction between the effect of an environmental agent and a genetic risk factor is to use a term called interaction index (γ), which is determined by coefficient (β) in a multiple logistic regression model. The coefficient of this interactive term was calculated according to the method of Taioli et al[17]. If the types of interaction belong to multiplicative effects suggested by Khoury and Ottman[18-20], it included several types of interactions. Such as type 1 interaction which means that the disease risk is increased only in the presence of the genotype and the environmental exposure. Type 2 interaction: the disease risk is increased by the environmental exposure alone but not by the genotype alone. Type 3 interaction: the disease risk is increased by the genotype in the absence of the environmental exposure but not by the environment alone. Type 4 interaction means that the disease risk is increased by genotype or environmental exposure alone[18-20]. False positive report probability (FPRP) was used as an index for judging the noteworthy or not noteworthy results at the 0.5 FPRP level among significant GEI results[21]. All data analysis was performed with the SAS package Genmod (SAS Institute, Cary, NC, USA) for the personal computer.
RESULTS
CYP1A1, GSTM1 polymorphisms and risk of intestinal gastric cancer
Compared with controls, patients were significantly older (median age 59 years for cases and 53 years for controls) and with a BMI less than 20. Former tobacco smoking is significantly associated with the risk of intestinal gastric cancer (OR = 2.4, 95%CI: 1.0-5.8). A significant dose-response was observed in relation to increasing gastric cancer risk, especially in 20 pack-years or more smokers (Table 1). The frequencies of CYP1A1 Ile/Val andVal/Val genotypes in controls were 33.4% and 5.6%, respectively, which showed no significant difference from that in cases (32.1% and 5.4%, respectively). The homozygote null GSTM1genotype was observed in 63.4% of cases, which was significantly higher than that in controls (53.5%). The adjusted OR was 2.0 (95%CI: 1.2-3.1).
Table 1 Characteristics of the interviewed subjects.
Interaction models of CYP1A1 and GSTM1 polymorphisms with former tobacco smoking
Among former tobacco smokers with CYP1A1 Ile or GSTM1 present genotypes, the OReg of intestinal gastric cancer were 1.8 and 3.5, respectively. With both exposure to tobacco smoking and the CYP1A1 Val allele or GSTM1 null genotype, the OReg of suffering intestinal gastric cancer increased sharply, 5.0 (95%CI: 1.9-13.4) and 8.4 (95%CI: 3.4-20.9), respectively. The g were 2.8 and 3.4, respectively, which showed multiplicative effects of type 2 GEI model for CYP1A1 and type 4 model for GSTM1 (Table 2).
Table 2 Interaction models of CYP1A1 and GSTM1 polymorphism with former smoker in intestinal gastric cancer.
Assessment of the probability of a potential positive result
A high FPRP (e.g., >0.5) could be a consequence of any combination of a low prior probability, low statistical power, or a relatively high P value[21]. We calculated FPRP to assess the probability that a positive result might be false using the observed P value or CI for the observed ORs, and to determine whether to consider a significant finding to be noteworthy with the specific prior probability (Table 3). The results showed that the FPRP was less than 0.5 for GSTM1 null and former smokers, which indicated the most noteworthy finding in the present study even with a prior probability between 0.0001 and 0.00001.
Table 3 FPRP values for interactions between GSTM1 and former tobacco smoking in intestinal gastric cancer.
A large number of molecular epidemiological studies completed in the past decade have identified the relative etiologic roles of the CYP1A1 Val variant allele and GSTM1 null genotype for cancer risk (including gastric cancer), although some results indicate no overall associations, only specific relationships were found in subgroups, such as in smokers, H pylori-infected patients or low consumption of fruit[6-10]. Other studies have reported contrary findings[11-14]. These inconsistent results might be contributed to ethnically diverse populations involved in studies, different histological subtypes of cases used, and different co-variables categorized the sub-population. Until now, only a few studies discussed interactions between tobacco smoking and the polymorphisms in the occurrence of gastric cancer[6,11,14]. In the present study, we observed some evidence of a relationship between GSTM1 null genotype and a risk of gastric cancer. Both the CYP1A1 Valvariant allele and GSTM1 null polymorphism have statistically significant interactions with former tobacco smoking. The GEI model of CYP1A1 with smoking belongs to type 2, and GSTM1with smoking belongs to type 4 as Khoury and Ottman described. Present study as most molecular epidemiology studies based on multiple comparison corrective procedures is relied on the standard P value criterion of 0.05 to define statistical significance without consideration of power or prior probability, which may create a lot of false positives[21]. We further calculated FPRP as one of indices to decide about whether a positive finding in association study can be called "a noteworthy finding"or "deserve of more attention". We confirmed that the interaction between GSTM1 null and former smokers was the most noteworthy positive finding in the present study even with a prior probability less than 0.0001. The interaction between CYP1A1 Val variant allele and former smokers was also a possible noteworthy positive finding with a prior probability less than 0.01 (data not shown). These results suggest that the risk of intestinal gastric cancer was greatly dependent upon both tobacco smoking exposures and susceptibility genes. Only complete smoking cessation may decrease susceptibility to gastric cancer in persons carrying the CYP1A1 Val variant allele or GSTM1 null genotype. The different types of GEI models indicated that the interactions between genes and environmental factors are neither simply gene specific, nor exposure specific, and must be related to the mechanism of action of the gene product and features of exposure leading to gastric cancer.
Although the mechanism for tobacco-related gastric cancer risk is not well understood, tobacco-specific nitrosamines and other nitroso-compounds, plus other carcinogens contained in tobacco and tobacco smoke, are swallowed and may thus be involved in the process of gastric carcinogenesis[22,23]. Among gastric cancer cases, smoking-related DNA-adduct levels were higher in smokers than in non-smokers[24] and a study in China found smoking to be a risk factor for intestinal metaplasia and gastric dysplasia arising from chronic atrophic gastritis[25]. The biological mechanisms responsible for different interaction models observed in our study were not known, but it was possible to speculate that these interaction effects might be a reflection for individuals with and without environmental susceptible genotypes. This analytical approach may be used to determine higher risk individuals and take further preventive measures to decrease cancer risks in these susceptible individuals.
One limit of the study is the small number of subjects in some cells when GEI models were analyzed. The models resulting from the present study might be affected by chance, and need to be identified by more large-scale molecular epidemiological studies. Another potential limit was the selection of controls, which include case's siblings. This kind of selection might create over-matching because siblings were more likely to have the same genotypes as cases than non-related controls, therefore leading to some loss of statistical efficiency, i.e. larger sample sizes required to attain the same statistical precision[26]. But others consider that the use of sibling controls generally improves efficiency for GEI evaluations[27,28].
In conclusion, our studies identified two kinds of GEI models between the CYP1A1 Valvariant allele, GSTM1 null genotype and tobacco smoking. Although the proposed carcinogen metabolism pathway seems a plausible explanation of our findings, further large studies are required to replicate these observations.
ACKNOWLEDGMENTS
We thank Zhaoxi Wang for his excellent technical assistance; thank Professor Regina M Santella for editing the manuscript. We also thank all the doctors for their kind help in collecting the biological samples and epidemiological data. We thank all participants in our study for their cooperation.
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