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Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania 15261 [V. N-S.]; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98104 [V. N-S., T. L. V., R. D. B., C. C.]; Department of Epidemiology, University of Washington, Seattle, Washington 98195 [T. L. V.]; Memorial Sloan-Kettering Cancer Research Center, New York, New York 10021 [M. B.]; and Cancer Center and College of Human Medicine, Michigan State University, East Lansing, Michigan 48824 [G. M. S.].
| Abstract |
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| Introduction |
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| Materials and Methods |
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Controls were identified by random digit dialing, using a modified version of the method of Waksberg (7) and were frequency-matched to the cases by age (in 5-year groups), sex, and geographic site of the cancer registry. From a list of all working exchanges (provided by the local telephone companies), an exchange was randomly selected and four random digits were added, forming a telephone number. This number was then called up to nine times, at varying times of the day and week, to determine whether the number was a residence. For numbers at which a residence was identified, the first five digits plus the area code were used to generate additional phone numbers by adding two random digits. Secondary phone numbers generated in this way were then resolved one by one by calling up to nine times at varying times of the day and week until two additional residences were identified.
Experienced interviewers at each registry conducted structured phone interviews to collect information that included demographics and history of tobacco and alcohol use. All questions referred to the time period before the reference date, which was 1 year prior to diagnosis for the cases and 1 year prior to ascertainment for the controls. At the end of the interview, subjects were asked to give blood, and if they agreed, an appointment was made and blood was drawn. Only subjects with blood specimens and direct interviews were included in this study.
We identified 205 eligible cases. The distribution by SEER registry was: western Washington, 91 cases; Detroit, 60 cases; and Connecticut, 54 cases. We successfully interviewed 175 cases (85.4%) or their next-of-kin (usually the spouse). The most frequent reasons for no interview were subject or physician refusal. To maintain comparability with the controls, we excluded eight cases without a telephone at the reference date from further analyses, leaving 167 to be analyzed. From among these respondents, we were able to draw blood from 85 cases (50.9% response). The most common reason for no blood draw was death of the subject. Specimens from two subjects were of insufficient volume to perform laboratory testing, resulting in a total of 83 cases with complete interview and blood data.
We identified 273 eligible controls through the same three SEER registries and completed interviews with 206 controls (75.5%) or their next-of-kin, with subject refusal being the primary reason for nonparticipation. We were able to collect blood from 144 controls (69.9% response), again with refusal being the most common reason for no blood draw. Two specimens were inadequate for testing, resulting in complete data collection for 142 controls.
Fifty ml of venous blood were drawn into vacutainer tubes containing either acid citrate dextrose or heparin anticoagulants. Blood was processed at a central laboratory, usually within 24 h of being drawn. Lymphocytes and granulocytes were isolated by centrifugation over Ficoll, frozen, and stored in liquid nitrogen. Where samples had low cell numbers, lymphoblastoid cell lines were generated by transformation with EBV. DNA was isolated by incubation in 4 M ammonium acetate and precipitation in isopropyl alcohol (8) .
GSTM1 genotypes were identified with a PCR-based method (9) , using primers 5'-GAACTCCCTGAAAAGCTAAAGC-3' and 5'-GTTGGGCTCAAATATACGGTGG-3'. To make certain that a null genotype was due to the absence of GSTM1 alleles rather than a failure in the PCR analysis, we coamplified human ß-globin using primers 5'-AACTTCATCCACGTTCACC-3' and 5'-GAAGAGCCAAGGACAGGTAC-3'. All assayed subjects were positive for ß-globin.
A modified hot-start PCR was carried out in an MJ Research Thermal Cycler PTC-100 or a Perkin-Elmer 4800 thermal cycler (Perkin-Elmer, Norwalk, CT). The 50-µl reaction mixture contained: 100 ng of genomic DNA; 200 µM each dGTP, dATP, dTTP, and dCTP (Boehringer Mannheim, Indianapolis, IN); 300 ng each of forward and reverse primers for GSTM1; 250 ng each of forward and reverse primers for ß-globin; 20 mM Tris-HCI (pH 8.4); 50 mM KCl; 4 mM MgC12; 0.01% gelatin; and 1.5 units of Taq polymerase (Life Technologies, Inc., Gaithersburg, MD). Cycling conditions consisted of 5 min at 94°C for loading and initial denaturation followed by 40 cycles of 94°C for 10 s, 60°C for 20 s, and 72°C for 45 s and a final extension at 72°C for 5 min. For negative controls, we included in the amplification a reaction mixture that contained all components except the DNA template. The PCR products were resolved on a ethidium bromide-stained 2.0% agarose gel.
X 174/HaeIII DNA digest was used as a DNA size marker. Amplification with ß-globin primers produced a 268-bp band, and that with the primers for GSTM1 homozygote and heterozygote produced a 215-bp band.
Unconditional logistic regression models were used to obtain maximum likelihood estimates for ORs and 95% CIs for measurement of the association between case-control status and genotype (10) . The same techniques were also used to evaluate and adjust for the effects of potential confounders on our measures of association. Previous findings from this study suggested etiological heterogeneity by histological type of NPC, with squamous cell carcinomas being most strongly associated with cigarette and alcohol use (6) . Therefore, we analyzed this histological subgroup separately as well as combined with all carcinomas. There were too few cases of the other histological types to produce stable OR estimates. The following variables were evaluated as potential confounders: age; sex; SEER site; race; level of education completed; history of cigarette use (including current smoking status, pack-years, cigarettes per day, and duration); and history of alcohol use (including duration and drinks per day). Potential modification of the effect of GSTM1 genotype on NPC risk was assessed for the above factors by the addition of interaction terms in the logistic model and by separate analyses of subgroups of subjects determined by these factors.
| Results |
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We examined in more detail the patterns of NPC risk associated with GSTM1 null genotype by various measures of cigarette use, including duration, intensity, and pack-years of smoking. However, we found no clear and consistent evidence of increasing risk by increasing exposure to cigarette smoke either among all histologies or among squamous cell cases. On the other hand, the higher risk we observed among heavier drinkers was also evident among those who had regularly drunk alcohol for a long duration; the ORs were 1.3 (95% CI = 0.62.7) and 3.1 (95% CI = 1.28.3) for those who had regularly drunk alcohol for
25 years and >25 years, respectively (tests for interaction not significant). Increased risk among heavier drinkers was consistently noted when we used different cutoff points of drinks per day.
Analyses were also carried out with race controlled for after excluding the 17 Asian cases. Our overall results remained the same, and in most cases, stratum-specific point estimates were little changed. For example, the adjusted ORs among all cases and squamous cell carcinomas were 2.1 (95% CI = 1.11.4) and 2.0 (95% CI = 0.94.2), respectively. When analyses were limited to Caucasians (i.e., also excluding African-Americans and Native Americans), the OR for all cases was 2.0 (95% CI = 1.03.9).
| Discussion |
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We found no clear modification of the GSTM1 and NPC relationship by history of smoking. Some previous studies have reported that the association of GSTM1 with lung cancer risk is stronger in smokers than in nonsmokers (11) or in heavier smokers than in light smokers (2 , 5) , whereas other studies have found no modification by smoking status (4) . Some studies of lung cancer have found the strongest role for GSTM1 in the squamous cell histological type (4 , 12) , whereas others have not (3 , 5 , 13) . Our results did not suggest that GSTM1 played the strongest role in squamous cell carcinoma relative to other types, although there were too few cases with other histologies to allow a definitive conclusion.
In our data, GSTM1 was a stronger predictor of risk in older subjects. This finding is consistent with our previously reported finding that, although cigarette smoking is an important risk factor for NPC in persons 50 years of age or older, it is not important for persons younger than 50 years, suggesting a different etiology among younger cases (6) .
Previous studies of lung cancer suggest that gender can modify the risk associated with GSTM1. For example, a recent study reported that GSTM1 null Japanese women were at 7.2-fold risk for squamous cell lung cancer, whereas GSTM1 null Japanese men did not have an elevated risk (OR = 1.1; Ref. 5 ). We also found suggestive evidence that sex modifies the relationship between GSTM1 and risk for NPC. There are reports of sex differences in the metabolism of various drugs (14, 15, 16, 17) , including alcohol (14 , 18) , and it is possible that tobacco smoke is also metabolized differently in men and women. The sex differences reported here could possibly result from differences in expression or regulation of GSTM1 (15 , 16) or Phase I enzymes (16 , 19) involved in the metabolism of tobacco and alcohol carcinogens.
Previously reported data from this study showed a strong relationship between use of alcohol and risk for NPC (6) . We are aware of no evidence that ethanol is a substrate for GSTM1. However, it has been shown that ethanol increases the rate of gene transcription of at least one of the cytochrome P450s involved in tobacco metabolism, CYP2E1 (1) , and CYP2E1 has been reported in some studies to be related to NPC (20) and lung cancer risk (21, 22, 23) . We hypothesize that induction of CYP2E1 might lead to increased levels of activated tobacco carcinogens and a larger role for GSTM1 in detoxifying them. Our results are consistent with that hypothesis because we found that the relationship between the GSTM1 null genotype and NPC risk was stronger among subjects with more years of alcohol use and those with greater intensity of use after adjustment for cigarette history. We consider these alcohol results to be exploratory in nature and deserving of further study.
Some limitations should be considered. Although our participation rates are low, it is unlikely that refusals among cases or controls would be related to GSTM1 genotype. On the other hand, most of the nonparticipating cases could not be included because they had died between the time of the phone interview and the blood draw. In one study, GSTM1 null genotype was related to increased survival after treatment among breast cancer patients (24) , possibly because patients with GSTM1 were able to detoxify chemotherapeutic agents and thereby confer resistance to chemotherapy, whereas GSTM1 null patients were not. If this were occurring among those NPC patients treated with chemotherapy, it would bias the observed association away from the null. This is speculative, however, and we do not consider this to be an important limitation. The racial distributions of participating and nonparticipating cases were somewhat different, with participating cases being more racially diverse than controls. However, when we limited our analyses to Caucasians (the only group large enough to analyze separately) our relative risk estimates were not changed substantially. Further, our study size was small, and some of the results we present could be attributed to chance.
In summary, there is growing evidence that GSTM1 is important in several tobacco-related cancers, including those of the lung, bladder (25 , 26) , and head and neck (27) . Our results indicate that persons who are homozygous for the GSTM1 null allele may be at moderately increased risk for NPC as well.
| Footnotes |
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1 This research was supported in part by National Cancer Institute Grants R03 CA50256 and RO1 CA62082 and National Cancer Institute Contract N01 CN05230. ![]()
2 To whom requests for reprints should be addressed, at Department of Epidemiology, Graduate School of Public Health, Parran Hall Room 513, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15261. ![]()
3 The abbreviations used are: GSTM1, glutathione S-transferase M1; NPC, nasopharyngeal cancer; SEER, Surveillance Epidemiology and End Results; NOS, not otherwise specified; OR, odds ratio; CI, confidence interval; CYP2E1, cytochrome P4502E1. ![]()
Received 10/19/98; revised 2/26/99; accepted 4/ 7/99.
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