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Biological Engineering Division, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 [P. L. S., S. R. T.], and University of Southern California/Norris Comprehensive Cancer Center, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, California [R. K. R., M. C. Y.]
| Abstract |
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| Introduction |
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As a result of the great reduction of occupational exposure to aromatic amines that has occurred since these compounds became known as human carcinogens, the most important cause of human bladder cancer that epidemiological studies now detect is cigarette smoking. After the discovery that aromatic amines are constituents of cigarette smoke, the hypothesis was advanced that exposure to the aromatic amines in tobacco smoke is a principal mechanism by which cigarette smoking induces bladder cancer (3) .
Aromatic amine exposure well below the levels resulting from cigarette smoking can now be detected with sensitive and specific biomarker measurements (4) . Aromatic amines are oxidized in vivo to N-hydroxylamines that, upon reaching the circulation, react with hemoglobin to form adducts that may be sufficiently stable to persist for as long as the adducted hemoglobin remains in circulation. As a result, quantitative analysis of the adducts in a blood specimen can be used to assess exposure during the several-month period before blood collection (5) . Oxidation of aromatic amines to N-hydroxylamines is generally thought to be required for their carcinogenic activity (6 , 7) . The aromatic amine-hemoglobin adduct biomarker may, therefore, be more informative about cancer risk than questionnaire-based exposure assessment.
Cross-sectional population studies have revealed that exposure to 4-ABP, as indicated by the presence of its hemoglobin adduct in individuals of all ages, even neonates, is nearly universal (8, 9, 10) . Adduct levels are higher in smokers than in nonsmokers (11, 12, 13) . Some, but not all, studies have demonstrated an association between passive smoke exposure and the presence of adducts in the hemoglobin of nonsmokers (14, 15, 16, 17) . These and other studies also suggest that the nature of most sources of arylamines in nonsmokers is unclear.
We initiated a population-based case-control study of bladder cancer in Los Angeles County in 1992 to test several hypotheses concerning the etiology of this disease. Blood specimens were collected from consenting participants and subjected to quantitative analysis for hemoglobin adducts of 4-ABP as well as the isomeric 3-ABP. Here, we examine the relationship between bladder cancer risk and levels of hemoglobin adducts of these two amines as a function of smoking habits, with adjustment for known and suspected risk factors for bladder cancer that include metabolic phenotype or genotype.
| Materials and Methods |
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For each interviewed case patient, we sought to recruit a control subject who was matched by gender, date of birth (within 5 years), race (non-Hispanic white, Hispanic, or African-American), and neighborhood of residence at the time of cancer diagnosis. To search for these neighborhood control subjects, we followed an invariant procedure that defines a sequence of houses on specified neighborhood blocks. We attempted to identify the sex, age and race of all of the inhabitants of each housing unit; not at home units were systematically revisited to complete the census. When we failed to find a match after canvassing 150 housing units, we excluded race from the matching criteria. If a match based on this relaxed criterion could not be found within a maximum of 300 housing units, the case was dropped from the study. Sixty-eight cases were excluded from the study because of the lack of a matched control, and 20 controls were not matched to the index case by race. All of the study subjects signed informed consent forms approved by the University of Southern California Human Subjects Committee.
In-person structured interviews were conducted in each subjects home. The questionnaire requested information up to 2 years before the diagnosis of bladder cancer for case patients or 2 years before the diagnosis of cancer of the index case patient for the matched control subject. Information was requested on demographic characteristics, lifetime use of tobacco products and alcohol, usual adult dietary habits, lifetime occupational history, prior medical conditions, and prior use of medications.
Beginning in January 1992, all of the case patients (n = 1044) and their matched control subjects (n = 979) were asked for a blood sample donation at the end of the in-person interview. We obtained a blood sample from 761 (73%) case patients (55% of total eligible cases) and from 770 (79%) control subjects. Subjects also were asked to collect an overnight urine sample (ending with the first morning void) after consumption of two cups of instant coffee (about 70 mg of caffeine) in the afternoon (between 3:00 and 6:00 p.m.).
Laboratory Measurements.
Blood specimens were collected in heparinized tubes and were subsequently fractionated into plasma, buffy coat, and erythrocytes, which were stored at -80°C before analysis. Erythrocyte samples were sent on dry ice to the Massachusetts Institute of Technology, identifiable only by their code numbers, where they underwent quantitative analysis for hemoglobin adducts of 4- and 3-ABP. Details of the analytical procedure used in this study have been reported previously (18)
. Cases and their matched controls were always tested together. For singletons (i.e., cases without matched controls or controls with missing index cases), number of cases and number of controls were always similar in a given batch. All of the subjects who donated blood were asked detailed questions about their use of tobacco products during the immediately preceding 2 months. NAT2 and CYP1A2 phenotypes were determined by analysis of the urinary caffeine metabolites as described previously (9)
. GSTM1, GSTP1, GSTT1, and NAT1 genotypes were determined as described previously (19
, 20)
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Statistical Analysis.
The distributions of 4- and 3-ABP hemoglobin adduct levels in our study population were markedly skewed; therefore, formal statistical testing was performed on logarithmically transformed values of adduct levels, and geometric (as opposed to arithmetic) mean values are presented. The analysis of covariance method was used to compare adduct levels between cases and controls while adjusting for the effects of age, sex, laboratory batch, and cigarette smoking on adduct levels (21)
. Additional adjustments of other risk factors for bladder cancer identified in the Los Angeles Study also were performed. All of the Ps are two-sided.
In addition, we used conditional logistic regression methods (22) to examine associations between hemoglobin adduct levels and bladder cancer risk. A matched set consisted of all of the cases and controls tested in a single laboratory batch. Age, sex, and level of education were included as covariates in all of the models. The associations were measured by ORs and their corresponding 95% CIs and 2-sided Ps. Study subjects were grouped into quartiles based on the distribution of values in control subjects, separately for those who smoked and those who did not smoke at the time of blood draw (see Appendix A). The linear trend tests for adduct-cancer associations were based on ordinal values (03) for the quartiles.
| Results |
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1%), the geometric mean is not notably different from values observed in other studies. Subjects with the 18 highest values (>400 pg/g) were all cases, but only 4 of them were current smokers. None of the values in control subjects were outside the range reported in previous studies of healthy subjects.
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The main finding presented in Table 2
is that adducts of both 4- and 3-ABP are significantly higher in cases than in controls, independent of the level of tobacco smoking at the time of blood donation. Risk or protective factors for bladder cancer identified in this study population include cigarette smoking (13)
, regular use of nonsteroidal anti-inflammatory drugs (24)
, use of permanent hair dyes (25
, 26)
, dietary intake of carotenoids,4
NAT2 phenotype,4
and GSTM1 genotype.4
Additional adjustment for all of these factors did not reduce the case-control differences in 4- and 3-ABP hemoglobin adducts. Among lifelong nonsmokers, the statistically significant case-control difference in 4-ABP hemoglobin adducts persisted. 3-ABP hemoglobin adducts, on the other hand, no longer showed a case-control difference in lifelong nonsmokers. Some (14, 15, 16)
but not all (17)
studies have detected the presence of 4- or 3-ABP hemoglobin adducts in individuals positive for passive smoke exposure. In this study population, there were no associations between indices of passive smoke exposure and 4- or 3-ABP hemoglobin adducts among nonsmokers at the time of blood draw.4
Thus, passive smoke exposure was not considered as a potential confounding variable. Certain occupational groups have been consistently shown to exhibit an elevated risk of bladder cancer (1)
. Further adjustment for a history of high-risk occupations (truck/bus/taxi driver, aluminum product worker, hairdresser) yielded results similar to those without this additional adjustment.
Adducts of 4- and 3-ABP were strongly correlated (r = 0.57), as we have observed in previous investigations. Adducts of 4-ABP exhibited a stronger association with bladder cancer risk than did 3-ABP adducts. After adjustment for level of 4-ABP adducts along with other risk or protective factors, 3-ABP adducts no longer showed an association with bladder cancer risk (P = 0.60). On the other hand, 4-ABP adducts remained statistically related to bladder cancer risk after adjustment for 3-ABP adducts (P = 0.0001).
Table 3
shows bladder cancer risk estimates by quartiles of ABP adduct levels, separately for smokers versus nonsmokers at the time of blood draw. Consistent with the findings presented in Table 2
, there was statistically significant increasing risk with increasing adduct levels, irrespective of smoking status at blood draw. For example, among nonsmokers, those at the highest quartile of 4-ABP adducts were more than three times as likely to develop bladder cancer relative to the subjects in the lowest quartile (OR, 3.2; 95% CI, 2.14.9).
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| Discussion |
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Cigarette smoke is an important source of 4- and 3-ABP exposure. Active smokers appear to be exposed to
3- to 10-fold higher amounts of 4- and 3-ABP than nonsmokers. Whether 4- and 3-ABP and other aromatic amines are the principal agents responsible for the apparent carcinogenicity of cigarette smoke for the bladder is difficult to test epidemiologically, because of the complex mixture of toxic and carcinogenic substances in tobacco smoke. Our finding that nonsmokers exhibit higher 4- and 3-ABP hemoglobin adducts if they are bladder cancer cases compared with control subjects strengthens the hypothesis that arylamines in cigarette smoke are responsible, at least in part, for bladder cancer development in smokers.
More significantly, our results suggest that 4- and 3-ABP exposure at levels lower than those experienced by smokers are linked to bladder cancer risk. 4-ABP is one of the most potent bladder carcinogens in animals. Previous studies have indicated widespread exposure to 4-ABP in humans other than through exposure to cigarette smoking; the sources of such nonsmoking related exposure remain unclear (9, 10, 11 , 27) .
Several exposure scenarios that could result in formation of human hemoglobin adducts of 4-ABP can be described. 4-nitrobiphenyl (4-NB) is a product of incomplete combustion that has been identified as a component of kerosene heater emissions (28) and diesel engine exhaust (29) , and exposure to 4-NB can result in the production 4-ABP hemoglobin adducts (30) ; therefore, exposure to airborne 4-NB is one possibility. Human intestinal microbiota are capable of generating 4-ABP from at least one azo dye (31) . Therefore, it is possible that exposure to one or more colorants is responsible for some human 4-ABP exposure. Finally, there is a recent report that fumes from heated cooking oils contain 4-ABP (32) , which raises the possibility that food preparation can lead to 4-ABP exposure. The limited information contained in these studies does not provide a sufficient basis for meaningful exposure assessment at this time; we, therefore, do not speculate on the relative importance of each of these possible scenarios. Pinpointing the additional sources of 4-ABP exposure in the environment should be of the highest scientific importance.
The present study has one major limitation inherent in most case-control studies. Assessment of ABP hemoglobin adducts was performed on blood samples taken after cancer diagnosis in cases. It is possible that the postdiagnostic profile in ABP adducts among the cases does not accurately reflect the groups prediagnostic profile. Furthermore, the carcinogenic process is believed to take decades to complete, and, thus, the relevant exposure periods are far removed from the time of blood draw. It is unknown whether recent exposures in study subjects, as captured by the ABP hemoglobin adducts, generally reflect exposure levels in decades past.
Cigarette smoking accounts for no more than 50% of bladder cancer cases in the United States (13) , but research over the past several decades has had little success in identifying other major causes. This investigation provides the first substantial evidence that environmental exposure to aromatic amines unrelated to smoking may account for a significant portion of bladder cancer in the general population.
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| Acknowledgments |
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| Footnotes |
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1 Supported by United States Public Health Service Grants P01 CA17054, R35 CA53890, and R01 CA65726 (National Cancer Institute), and P01 ES05622 and P30 ES07048 (National Institute of Environmental Health Sciences), NIH, Department of Health and Human Services. ![]()
2 To whom requests for reprints should be addressed, at Massachusetts Institute of Technology, Building 56, Room 753, 77 Massachusetts Avenue, Cambridge, MA 02139. E-mail: skipper{at}mit.edu ![]()
3 The abbreviations used are: 4-ABP, 4-aminobiphenyl; NAT2, N-acetyltransferase 2; GSTM1, glutathione S-transferase M1; OR, odds ratio; CI, confidence interval; 4-NB, 4-nitrobiphenyl. ![]()
Received 8/14/02; revised 2/25/03; accepted 3/ 4/03.
| References |
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