Abstract
Background
4-Aminobiphenyl (ABP) is an established human bladder carcinogen, with tobacco smoke being a major source of human exposure. Other arylamine compounds, including 2,6-dimethylaniline (2,6-DMA), have been implicated as possible human bladder carcinogens. Hemoglobin adducts of 4-ABP and 2,6-DMA are validated biomarkers of exposure to those compounds in humans.
Methods
The Shanghai Bladder Cancer Study enrolled 581 incident bladder cancer cases and 604 population controls. Each participant was solicited for his/her history of tobacco use and other lifestyle factors, and donation of blood and urine specimens. Red blood cell lysates were used to quantify both hemoglobin adducts of 4-ABP and 2,6-DMA. Urine samples were used to quantify total cotinine. Odds ratios (ORs) and 95% confidence intervals (CIs) for bladder cancer were estimated using unconditional logistic regression methods.
Results
Among lifelong nonsmokers, ORs (95% CIs) of bladder cancer for low (below median of positive values) and high versus undetectable levels of 2,6-DMA hemoglobin adducts were 3.87 (1.39-10.75) and 6.90 (3.17-15.02), respectively (Ptrend<0.001). Similarly, among lifelong nonsmokers, ORs (95% CIs) of bladder cancer for 3rd and 4th versus 1st/2nd quartiles of 4-ABP hemoglobin adducts was 1.30 (0.76-2.22) and 2.29 (1.23-4.24), respectively (Ptrend=0.00). The two associations were independent of each other.
Conclusion
Hemoglobin adducts of 4-ABP and 2,6-DMA were significantly and independently associated with increased bladder cancer risk among lifelong nonsmokers in Shanghai, China.
Impact
The findings of the present study in China with previous data in Los Angeles, California strongly implicate arylamines as potential causal agents of human bladder cancer.
INTRODUCTION
Early observational studies show significantly increased incidence of bladder cancer among workers occupationally exposed to arylamines in the workplace, and subsequent studies led to the discovery and confirmation of certain arylamines, including 4-aminobiphenyl (4-ABP), 2-naphthylamine, and benzidine, to be carcinogenic to humans. They are classified as Group I carcinogens by the International Agency for Research on Cancer (IARC) (1).
Following governmental regulation of industrial use of arylamines in 1970s, tobacco smoke emerged as the major source of 4-ABP exposure in humans (2). Tobacco use is recognized as an important risk factor for bladder cancer. Smokers exhibit 2-3 folds of excess risk for bladder cancer compared with nonsmokers (3). In our case-control study in Los Angeles, California, smokers exhibit more than three times higher levels of 4-ABP hemoglobin adducts, a validated biomarker of 4-ABP exposure, than lifelong nonsmokers (4).
Although tobacco use is a known major risk factor for bladder cancer, it only accounts for roughly 50% of disease burden in the United States (5). Relatively little is known about the causes of non-active smoking related bladder cancer. We have reported environmental tobacco smoke (ETS) exposure as a risk factor for nonsmoking related bladder cancer (6, 7). The data were based on two separate but parallel case-control studies conducted in Los Angeles, California (high-risk region) (The Los Angeles Bladder Cancer Study) and Shanghai, China (low-risk region) (The Shanghai Bladder Cancer Study). The Los Angeles Study further implicates other diffuse sources of 4-ABP (besides active and passive smoking) as possible causal factors for nonsmoking-related bladder cancer.
More significantly, The Los Angeles Study examined hemoglobin adducts of nine alkylanilines, a subclass of arylamines that was previously unstudied in relation to bladder cancer risk, and found three of them, including 2,6-dimethylaniline (2,6-DMA), to be independently and significantly associated with bladder cancer risk among nonsmoking subjects at blood draw. Experimental studies have shown that administration of 2,6-DMA in the diet can induce adenomas and carcinomas as well as several sarcomas in the nasal cavity of rats. 2,6-DMA also produces subcutaneous fibromas and fibrosarcomas, and increases the incidence of neoplastic nodules in the livers of rats (8, 9). 2,6-DMA is classified by IARC as a Group 2B carcinogen (possibly carcinogenic to humans) (9, 10).
Arylamines require metabolic activation, usually in the liver, to be transformed into fully carcinogenic agents (11). They are oxidized to N-hydroxylamines in vivo and react with hemoglobin to form adducts that may persist for as long as the hemoglobin adducts remains in circulation (4, 12). In the acidic environment of the bladder lumen, a derivative of the glucuronide conjugates of N-hydroxylamines can covalently bind to urothelial DNA and cause malignant transformation of urothelial cells, which may ultimately lead to bladder cancer (13). Hemoglobin adducts of arylamines are validated biomarkers of arylamine exposure in humans (14). These adducts represent both the uptake of arylamines and their genetically controlled metabolism in individual subjects.
Here, we report the findings of the Shanghai Bladder Cancer Study on hemoglobin adducts of 4-ABP and 2,6-DMA in relation to bladder cancer risk. The results are consistent with our prior novel findings in Los Angeles (4, 12) and strongly implicate arylamines as major causal agents of bladder cancer, not only among tobacco users but in lifelong nonsmokers as well.
MATERIALS AND METHODS
Subjects
The present study included participants of the Shanghai Bladder Cancer Study. The study design has been described in detail elsewhere (7). Briefly, patients with bladder cancer were identified through the Shanghai Cancer Registry, a population-based cancer registry covering the approximately 8 million residents of urban area in Shanghai, China, in the 1990's. Of the patients diagnosed with bladder cancer from 1 July 1995 to 30 June 1998, 708 were 25 to 74 yr old who met our eligibility criteria for the study. Among the 708 patients, 56 died before we could contact them, 29 refused to be interviewed and 42 were unable to be located. We interviewed the remaining 581 (82%) eligible patients between July 1996 and June 1999. The diagnosis of bladder cancer for 531 (91%) patients was made based on histopathological evidence whereas the remaining 50 (9%) patients diagnoses were based on positive computerized axial tomography scan and/or ultrasonograph with consistent clinical history. Control subjects were randomly selected from the urban population of Shanghai through the Residents Registry of the Shanghai Municipal Government. They were chosen to match the frequency distribution by sex and 5-year age groups of bladder cancer patients. Among the 750 potential control subjects chosen, 604 (81%) eligible subjects were interviewed during the same time period as the cases. All subjects provided informed consent following procedures approved by the appropriate institutional review boards.
Data collection
A trained interviewer conducted an in-person interview with each study subject using a structured questionnaire. The questionnaire asked for information on subjects’ demographic characteristics, history of tobacco use, history of passive smoking (for nonsmokers only), consumption of beverages, use of hormones (for women only), medical history, usual adult diet, and occupational history. Cigarette smoking was defined as smoking one cigarette per day for at least six months. Lifelong nonsmokers were defined as subjects who were not smoking on a regular base in the past six months prior to the reference date (two years prior to cancer diagnosis for cases and two years prior to interview for controls) and the date of blood urine sample collection. All subjects whose urinary level of cotinine was ≥75 ng/ml were defined as smokers at the time of urine sample collection.
All subjects were asked to donate a blood and an overnight urine sample (ending with the first morning void) at the end of the in-person interview. A total of 513 (88% of interviewed) of cases and 534 (88% of interviewed) of controls provided a blood sample. Blood samples were collected in heparinized (10 ml) and nonheparinized (4 ml) tubes. Heparinized samples were fractioned into plasma, buffy coat and erythrocytes on the day of the sample collection and were stored at –80°C. When picking up the overnight urine sample, the interviewer asked the subject about use of tobacco products during the past 60 days. Five hundred and thirty-five (92%) of case patients and 543 (90%) of interviewed control subjects donated an overnight urine sample. The urine samples were processed on the day of collection and acidified (400 mg of ascorbic acid per 20 ml of urine) before they were stored at –80°C until analysis.
Laboratory Measurements
Arylamine hemoglobin adducts
Erythrocyte fractions, identifiable only by their code numbers, were sent on dry ice to the University of Pittsburgh, where they were stored at –30 °C until assays for arylamine-Hb adducts were performed. Hemoglobin adducts of 4-ABP adducts and 2,6-DMA were quantified using the internal standards [methyl-2H6]-2,6-dimethylaniline and 4-fluoro-4’-aminobiphenyl as described previously (12, 15). Erythrocyte fractions were thawed and 1 ml of each were centrifuged at 1000×g for 10 min to pellet cell debris. The mixture was then dialyzed for 36 h against 50 volumes of water using a dialysis bath at 4°C and changing dialysis bath water twice to remove non-covalently bound low molecular weight compounds. The hemoglobin concentration in each sample was determined by Drabkin's method. Each dialyzed sample was then spiked with the internal standards, the sulfinamide bonds between the electrophilic forms of the arylamines and the sulfur of β93-cysteine residue of hemoglobin were hydrolyzed with aqueous NaOH. The freed arylamines were then extracted into hexane and derivatized with pentafluoropropionic anhydride. The resulting amides were concentrated under a stream of dry nitrogen, re-dissolved in iso-octane, and analyzed by GC-NICI-SIM-MS using a Carbowax capillary column.
Urinary total cotinine
Cotinine is a major proximate metabolite of nicotine, but has a longer half-life than nicotine. Therefore, cotinine is a better biomarker for daily use of cigarettes than nicotine itself and other nicotine metabolites. In the present study, urinary cotinine was measured by the standard gas chromatographic-mass spectrometric method (GC-MS) (16).
Statistical analysis
In the present study, we included 494 (85% of interviewed) case patients and 499 (83% of interviewed) control subjects with available measurement of arylamine hemoglobin adducts. Bladder cancer cases included in this study were comparable with those excluded from the study in terms of age at diagnosis, body mass index, level of education, and smoking status at reference (all P-values >0.05). Given the skewed distribution of 4-ABP hemoglobin adducts, formal statistical test was performed on logarithmically transformed values, and geometric (as opposed to arithmetic) means were presented. The analysis of covariance (ANCOVA) method was applied to identify determinants of 4-ABP in all control subjects. Number of cigarettes smoked per day (0, 1-<10, 10-<20, and 20+) at blood draw and urinary levels of cotinine (0, 1-<100, 100-<500, and 500+ ng/ml) were found to be significantly associated with levels of 4-ABP hemoglobin adducts. Thus, in all statistical analysis that included smokers at the time of blood/urine collection, the latter two factors were part of the covariates set in regression models, in addition to gender, age at blood draw, and level of education.
The chi-square and nonparametric statistics methods were used to examine the difference in distributions of 2,6-DMA hemoglobin adducts across different exposures (i.e., smoking or urinary total cotinine) among controls given the skewed distribution of the data and small percentage (6%) of controls with detectable level of 2,6-DMA adducts. The same methods were used to examine the difference in distributions of 2,6-DMA adducts between cases and controls.
Unconditional logistic regression models were used to examine the associations between adducts and risk of bladder cancer. A high proportion of study subjects (72% controls and 91% cases) in our study had undetectable level of 2,6-DMA adducts. We classified subjects who had detectable level of 2,6-DMA into low (below median of positive values in controls) and high levels of exposure. The median value in controls was determined to be 115.9 pg/g hemoglobin. Similarly, we grouped subjects by quartiles based on the distribution of 4-ABP adducts in controls. The strength of the association between levels of adducts and bladder cancer risk was measured by odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) and P-values. We assessed the associations in total subjects and in subgroups defined by cigarette smoking status at blood draw and by smoking history over lifetime.
Statistical analyses were performed using SAS version 9.2 (SAS Institute, Cary, NC) statistical software package. All P values are two sided. P values less than 0.05 were considered statistically significant.
RESULTS
The mean age (±standard deviation) of case patients at diagnosis of bladder cancer was 63.6 (±9.9) years while the mean age of control subjects at interview was 64.0 (±10.0) years (p = 0.74). Eighty percent of bladder cancer patients and 77% of control subjects were men (p = 0.29). Case patients had similar distributions as control subjects by levels of education and body mass index (Table 1). More case patients were current smokers and exhibited greater number of pack-years of smoking than controls at the reference date (i.e., two years prior to cancer diagnosis for case patients, and two years prior to interview for control subjects) (Table 1). However, fewer bladder cancer patients smoked cigarettes during the past 60 days prior to blood draw. Case patients and control subjects had comparable levels of total cotinine in urine collected around the same time as the blood draw (Table 1).
Table 1.
Distributions of selected characteristics among patients with bladder cancer (cases) and control subjects, The Shanghai Bladder Cancer Case-Control Study, 1995-1998
| No. cases (%) | No. controls (%) | P | |
|---|---|---|---|
| Total subjects | 484 (100) | 499 (100) | |
| Age at blood draw | 0.466 | ||
| <50 | 64 (13.2) | 50 (10.0) | |
| 50-<60 | 60 (12.4) | 65 (13.0) | |
| 60-<70 | 212 (43.8) | 222 (44.5) | |
| ≥70 | 148 (30.6) | 162 (32.5) | |
| Gender | 0.290 | ||
| Male | 385 (79.6) | 383 (76.8) | |
| Female | 99 (20.5) | 116 (23.3) | |
| Education | 0.518 | ||
| No formal schooling | 39 (8.1) | 39 (7.8) | |
| Primary school | 121 (25.0) | 123 (24.7) | |
| Middle school | 265 (54.8) | 290 (58.1) | |
| College and above | 59 (12.2) | 47 (9.4) | |
| Body mass index, kg/m2 | 0.191 | ||
| <18.5 (underweight) | 42 (8.7) | 46 (9.2) | |
| 18.5-24.9 (normal) | 347 (71.7) | 377 (75.6) | |
| ≥25 (overweight and obese) | 95 (19.6) | 76 (15.2) | |
| Smoking status at reference date | <0.001 | ||
| Never smokers | 166 (34.3) | 223 (44.7) | |
| Former smokers | 76 (15.7) | 84 (16.8) | |
| Current smokers | 242 (50.0) | 192 (38.5) | |
| No. of pack-years of smoking | |||
| 0 (never smokers) | 166 (34.3) | 223 (44.7) | 0.002 |
| <20 | 123 (25.4) | 115 (23.1) | |
| 20-<40 | 94 (19.4) | 94 (18.8) | |
| ≥40 | 101 (20.9) | 67 (13.4) | |
| No. of cigarettes smoked/day in the past 60 days prior to blood draw | <0.001 | ||
| 0 (nonsmokers) | 357 (73.8) | 309 (61.9) | |
| <10 cigarettes/day | 58 (12.0) | 55 (11.0) | |
| 10-<20 cigarettes/day | 37 (7.6) | 57 (11.4) | |
| 20+ cigarettes/day | 32 (6.6) | 78 (15.7) | |
| Lifetime never smokers* | 158 (32.6) | 210 (42.1) | <0.001 |
| Urinary levels of total cotinine (ng/ml) | 0.109 | ||
| 0 (Undetectable) | 196 (40.5) | 174 (34.9) | |
| 1-<100 | 139 (28.7) | 147 (29.5) | |
| 100-<500 | 52 (10.7) | 68 (13.6) | |
| ≥500 | 58 (12.0) | 79 (15.8) | |
| Unknown | 39 (8.1) | 31 (6.2) |
Self-reported nonsmoking at both baseline and blood draw, and urinary cotinine <75 ng/ml.
2,6-DMA adducts were detected in 136 (26%) of 484 bladder cancer cases and 31 (6%) of 499 control subjects (P < 0.001). Among control subjects, there was no statistically significant difference in 2,6-DMA adducts levels between current smokers at blood draw and lifelong nonsmokers or across different levels of smoking (i.e., number of cigarettes per day at blood draw or urinary total cotinine). Among subjects with positive 2,6-DMA adducts, the difference in 2,6-DMA adducts between cases and controls [median: 233.9 in cases versus 115.9 pg/g hemoglobin in controls; geometric mean: 232.0 (95% CI 176.3-307.6) in cases versus 162.2 (95% CI 89.6-293.6) pg/g hemoglobin] was not statistically significant (P > 0.13) (data not shown). Compared with subjects who had undetectable adducts, individuals exhibiting low (below median of positive values) and high (above median of positive values) levels had an OR of 4.08 (95% CI = 2.16-7.70) and 7.38 (95% CI = 4.16-13.07), respectively, for bladder cancer after adjustment for potential confounders (P for trend < 0.001) (Table 2). The positive association between 2,6-DMA hemoglobin adducts and bladder cancer risk was present separately in smokers and nonsmokers at blood draw, as well as in lifelong nonsmokers.
Table 2.
Level of 2,6-DMA adducts in relation to risk of bladder cancer The Shanghai Bladder Cancer Case-Control Study 1995-1998
| 2,6-DMA adducts (pg/g hemoglobin) |
||||
|---|---|---|---|---|
| Undetectable | Low (<115.9) | High (≥115.9) | P for trend | |
| Total subjects | ||||
| No. cases/no. controls | 348/468 | 46/15 | 90/16 | |
| OR (95% CI)* | 1.00 (ref) | 4.03 (2.21-7.36) | 7.66 (4.41-13.29) | <0.001 |
| Fully adjusted OR (95%CI)† | 1.00 (ref) | 4.08 (2.16-7.70) | 7.38 (4.16-13.07) | <0.001 |
| Current smokers at blood draw | ||||
| No. cases/no. controls | 96/181 | 12/5 | 19/4 | |
| OR (95% CI)* | 1.00 (ref) | 4.61 (1.57-13.58) | 9.12 (3.00-27.73) | <0.001 |
| Fully adjusted OR (95%CI)† | 1.00 (ref) | 5.30 (1.16-16.94) | 11.00 (3.15-38.42) | <0.001 |
| Nonsmokers at blood draw | ||||
| No. cases/no. controls | 252/287 | 34/10 | 71/12 | |
| OR (95% CI)* | 1.00 (ref) | 3.69 (1.78-7.68) | 6.85 (3.61-12.99) | <0.001 |
| Fully adjusted OR (95%CI)† | 1.00 (ref) | 3.85 (1.76-8.41) | 6.80 (3.52-13.13) | <0.001 |
| Lifelong nonsmokers§ | ||||
| No. cases/no. controls | 110/195 | 13/6 | 35/9 | |
| OR (95% CI)* | 1.00 (ref) | 4.00 (1.45-11.02) | 6.83 (3.14-14.84) | <0.001 |
| Fully adjusted OR (95%CI)‡ | 1.00 (ref) | 3.87 (1.39-10.75) | 6.90 (3.17-15.02) | <0.001 |
All odds ratios (ORs) were adjusted for age at blood draw, gender, and level of education; CI, confidence interval.
All odds ratios were further adjusted for smoking status at reference date (never, former or current smokers), number of cigarettes smoked per day at reference date (continuous), number of year of smoking (continuous), number of cigarettes per day in the past 60 days (0, 1-<10, 10-<20, and ≥20 cigarettes), urinary cotinine levels (0, 1-<100, 100-<500, ≥500 ng/ml, or unknown).
Besides age, gender and level of education, odds ratios were adjusted for urinary level of total cotinine (0 versus 1-<75 ng/ml).
Those who did not smoke cigarettes at reference date or at blood draw, and exhibiting less than 75 ng/ml of urinary total cotinine.
Among controls, geometric means of 4-ABP adducts increased with increasing number of cigarettes smoked per day at blood draw as well as increasing levels of urinary cotinine (both P for trend <0.001) (Table 3). Levels of 4-ABP adducts were comparable between men and women after differences in number of cigarettes per day and urinary total cotinine between the two sexes were taken into account (data not shown). There was no correlation between 4-ABP and 2,6-DMA adducts among control subjects (correlation coefficient = 0.03, P = 0.764).
Table 3.
Geometric means of 4-ABP adducts by cigarette smoking and urinary total cotinine levels among control subjects only, The Shanghai Bladder Cancer Case-Control Study 1995-1998
| No. of subjects | Geometric means (95% CI) of 4-ABP adducts (pg/g hemoglobin) | |
|---|---|---|
| Total | 499 | 19.71 (17.57-22.11) |
| No. of cigarettes smoked/day in the past 60 days prior to blood draw | ||
| 0 (nonsmokers) | 309 | 16.06 (13.92-18.52) |
| <10 cigarettes/day | 55 | 16.33 (11.88-22.44) |
| 10-<20 cigarettes/day | 57 | 33.95 (24.85-46.39) |
| 20+ cigarettes/day | 78 | 34.18 (26.18-44.64) |
| P for trend | <0.001 | |
| Lifetime nonsmokers* | 210 | 15.45 (13.00-18.37) |
| Urinary levels of total cotinine (ng/ml) | ||
| 0 (Undetectable) | 174 | 15.29 (12.66-18.48) |
| 1-<100 | 147 | 17.07 (13.89-20.98) |
| 100-<500 | 68 | 28.24 (20.86-38.24) |
| ≥500 | 79 | 32.99 (24.91-43.69) |
| P for trend | <0.001 | |
| Unknown cotinine level | 31 | 19.97 (12.75-31.28) |
Those who did not smoke cigarettes at reference date or at blood draw, and exhibiting less than 75 ng/ml of urinary total cotinine.
Table 4 shows the associations between 4-ABP hemoglobin adducts and risk of bladder cancer. No statistically significant associations were observed in total subjects. However, among lifelong nonsmokers, a dose-dependent, statistically significant association between 4-ABP adducts and bladder cancer was noted (p for trend = 0.009). Subjects possessing the highest quartile of 4-ABP adducts exhibited an OR of 2.3 (95%CI=1.23-4.24) relative to those in the lowest two quartiles (Table 4).
Table 4.
Level of 4-ABP adducts in relation to risk of bladder cancer The Shanghai Bladder Cancer Case Control Study 1995-1998
| 4-ABP adducts (pg/g hemoglobin) |
||||
|---|---|---|---|---|
| 1st/2nd Q (0-24.5) | 3rd Q (24.5-38.9) | 4th Q (38.9+) | P for trend | |
| Total subjects | ||||
| No. cases/no. controls | 256/250 | 122/125 | 106/124 | |
| OR (95% CI)* | 1.00 (ref) | 0.96 (0.71-1.30) | 0.83 (0.61-1.14) | 0.271 |
| Fully-adjusted OR (95% CI)† | 1.00 (ref) | 1.04 (0.74-1.46) | 1.20 (0.83-1.74) | 0.358 |
| Smokers at blood draw | ||||
| No. cases/no. controls | 34/53 | 42/54 | 51/83 | |
| OR (95% CI)* | 1.00 (ref) | 1.20 (0.66-2.17) | 0.95 (0.55-1.66) | 0.785 |
| Fully-adjusted OR (95% CI)† | 1.00 (ref) | 1.39 (0.69-2.77) | 1.43 (0.72-2.83) | 0.345 |
| Nonsmokers at blood draw | ||||
| No. cases/no. controls | 222/197 | 80/71 | 55/41 | |
| OR (95% CI)† | 1.00 (ref) | 1.09 (0.75-1.60) | 1.31 (0.83-2.06) | 0.258 |
| Fully-adjusted OR (95% CI)† | 1.00 (ref) | 0.99 (0.65-1.49) | 1.30 (0.80-2.13) | 0.376 |
| Lifelong nonsmokers | ||||
| No. cases/no. controls | 94/144 | 33/43 | 31/23 | |
| OR (95% CI)* | 1.00 (ref) | 1.31 (0.77-2.23) | 2.24 (1.21-4.14) | 0.011 |
| Fully-adjusted OR (95% CI)‡ | 1.00 (ref) | 1.30 (0.76-2.22) | 2.29 (1.23-4.24) | 0.009 |
Odds ratios (OR) were adjusted for age at blood draw, gender, and level of education; CI, confidence interval.
Odds ratios were further adjusted for smoking status at reference date (never, former and current), number of cigarettes smoked per day at reference date (continuous), number of year of smoking (continuous), number of cigarettes per day in the past 60 days (0, 1-<10, 10-<20, and ≥20 cigarettes), and urinary cotinine levels (0, 1-<100, 100-<500, ≥500 ng/ml, or unknown).
Besides age, gender and level of education, odds ratios were adjusted for urinary level of total cotinine (0 versus 1-<75 ng/ml).
Both hemoglobin adducts of 2,6-DMA and 4-ABP were independently associated with risk of bladder cancer. A positive association between 2,6-DMA hemoglobin adducts and bladder cancer risk was present in both high and low levels of 4-ABP hemoglobin adducts in all subjects as well as in separate groups stratified smoking status at blood draw or over lifetime. Similarly, the level of 2,6-DMA hemoglobin adducts did not modify the positive association between 4-APB hemoglobin adducts and bladder cancer risk (P for interaction = 0.997).
DISCUSSION
Earlier, based on data of a study in Los Angeles, California, a high-risk region for bladder cancer, we reported a dose-dependent, statistically significant association between 4-ABP hemoglobin adducts, a validated biomarker for 4-ABP exposure in humans, and risk of bladder cancer unrelated to tobacco use (4). We then examined the relationship between hemoglobin adducts of nine candidate alkylanilines, a subclass of arylamines of which little is known about their potential carcinogenicity to humans, using the same Los Angeles Bladder Cancer Study data. We observed dose-dependent, statistically significant associations between nonsmoking related bladder cancer and three of the nine alkylaniline adducts, one of which was 2,6-DMA (12). These latter three associations were independent of each other. Now, our two sets of novel findings are being confirmed in a low-risk population via a case-control study in Shanghai, China that was initiated in parallel to our Los Angeles study. The remarkable consistency in results between the Los Angeles and the Shanghai studies strongly implicate that the same class of compounds, namely, the ayrlamines, are responsible for most cases of bladder cancer worldwide.
Cigarette smoking is an important source of 4-ABP. Mainstream cigarette smoke was reported to contain 4-ABP at levels of 2.4 to 4.6 ng per cigarette (unfiltered) and 0.2 to 23 ng per cigarette (filtered) (17, 18). We reported earlier that active smokers of non-Asians in Los Angeles had more than 3-fold 4-ABP hemoglobin adducts than lifelong nonsmokers (75.2 versus 22.1 pg/g hemoglobin) and the relationship was dose-dependent (4). Consistent with our previous findings, the levels of 4-ABP hemoglobin adducts in the present study population also increased with increasing number of cigarettes per day or urinary levels of total cotinine (both P for trend < 0.001). However, the absolute values of 4-ABP hemoglobin adducts in Chinese in Shanghai were much lower in both current smokers (22.43 pg/g hemoglobin) and lifelong nonsmokers (17.73 pg/g hemoglobin) than their non-Asian counterparts in Los Angeles, California. Although we followed the exact protocol for assays and the same standard for 4-ABP in the two laboratories that performed the quantification of 4-ABP hemoglobin adducts, the comparison of absolute values may not be appropriate between the two study populations. The smaller difference between smokers and nonsmokers among Shanghai Chinese compared to that among Los Angeles non-Asians might have the following reasons. Cigarette products consumed by Chinese in Shanghai, China, may have lower 4-ABP than those consumed by Non-Hispanic whites and blacks in Los Angeles, California. Although there is lack of specific data on levels of 4-ABP in cigarettes from both markets, the level of tobacco-specific nitrosamines was >20 times higher in US brand cigarettes than in cigarettes domestically manufactured in China (19). Another reason for the different levels of 4-ABP hemoglobin adducts between Shanghai Chinese and Los Angeles non-Asians might be due to the higher prevalence of rapid N-acetylation in Chinese than in non-Asians. N-acetylation is a major detoxification pathway of tobacco procarcinogens including 4-ABP (20).
Besides tobacco smoke, there are several nonsmoking sources of 4-ABPs that humans are exposed to. 4-Nitrobiphenyl is a product of incomplete combustion that has been identified as component of kerosene heater emission (21) and diesel engine exhaust (22). Exposure to 4-nitrobiphenyl can result in the production of 4-ABP hemoglobin adducts (23). Therefore, exposure to airborne 4-nitrobiphenyl could result in elevated level of 4-ABP-Hb adducts. Fumes from heated cooking oils contain 4-ABP (24). Chinese women usually prepare food for her family and high temperature cooking with heated oils is a common food preparation method. Finally, 4-ABP has been detected in commercial hair dyes (25). Women using permanent hair dyes were found at increased risk of bladder cancer in our previous study (26). The elevated level of 4-ABP hemoglobin adducts among lifelong nonsmokers, especially in women, could be the results of exposure to these or as-yet-to-be-identified nonsmoking sources of 4-ABP.
In the present study, patients with bladder cancer showed significantly higher hemoglobin adducts of 2,6-DMA than healthy control subjects in both smokers and nonsmokers. Data on the carcinogenicity of 2,6-DMA on humans are limited. Results from toxicologic studies are consistent with a role for 2,6-DMA in human carcinogenesis (9, 27). 2,6-DMA is shown to induce tumors in nasal cavity and in the liver of rats (8, 28), and has been classified by the International Agency for Research on Cancer as a possible human carcinogen (9). A recent mouse model study suggests that metabolites of 2,6-DMA covalently bind to and produce significant levels of DNA adducts in the bladder, ultimately leading to the malignant transformation of urothelial cells (29). Our previous study demonstrated that the 2,6-DMA-Hb adduct was an independent predictor of bladder cancer risk among non-Hispanic whites in Los Angeles, California (12). The consistent findings between our previous study and this study strongly implicate a role of 2,6-DMA in the development of bladder cancer in humans.
2,6-DMA is a metabolite of some drugs (e.g., lidocaine and xylazine) (30, 31). Human exposure to 2,6-DMA in patients receiving lidocaine for local anesthesia or cardiac arrhythmias has been inferred from the resulting increase in 2,6-DMA hemoglobin adduct levels (30). However, the presence of 2,6-DMA hemoglobin adducts in humans not exposed to lidocaine suggests the existence of other sources of 2,6-DMA exposure in humans (14). 2,6-DMA also is a principal metabolite of the veterinary tranquilizer xylazine (32). Xylazine residues have been found in bovine milk and in different tissues (liver, kidney, etc) collected from treated cattle (32). In the United States, xylazine is not approved by the U.S. Food and Drug Administration (FDA) for use in food-producing animals, but it is unclear whether there is widespread practice of non-FDA approved use of xylazine in China. Finally, 2,6-DMA is used as a chemical intermediate in the manufacture of pesticides, for example, metalaxyl, a systemic fungicide used to control plant diseases. Metalaxyl is widely used to control fungi on a variety of fruit and vegetable crops. Humans are exposed to metalaxyl through ingestion of fruit and vegetables with the pesticide residue (33). The maximum pesticide residue limits in Canada are set at 1.0 ppm for apples and 5 ppm for lettuce and other leafy vegetables (34, 35). There are similar regulatory policy in place in European countries and the United States. However, data regarding the allowable levels of metalaxyl residue on food crops in China are unavailable. Given a strong association between 2,6-DMA hemoglobin adducts and bladder cancer risk, identification of specific sources of 2,6-DMA exposure in the environment should be a high priority.
Strengths of this study included the population-based study design, relatively large sample size and comprehensively collected data on exposure and genetic determinants of study subjects. The main limitation of the present study was the retrospective nature of the study design. Assessment of 4-ABP and 2,6-DMA hemoglobin adducts was performed on blood samples taken after cancer diagnosis and/or treatment in cases. It is possible that the postdiagnostic profile in these adducts among the cases does not accurately reflect the group's prediagnostic profile. For example, a large proportion of bladder cancer patients reduced the amount of cigarettes smoked per day or quit smoking completely following their cancer diagnosis, thus the 4-ABP hemoglobin adducts measured would be lower than expected if blood samples had been collected from patients before their cancer diagnosis. Therefore, the present study might underestimate the effect of the 4-ABP exposure on bladder cancer risk, especially for smokers. 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 hemoglobin adducts of 4-ABP and 2,6-DMA, generally reflect exposure levels in decades past. Future studies with a prospective study design can overcome these limitations and establish the temporal relation between exposure to 2,6-DMA and 4-ABP and the risk of developing bladder cancer.
In summary, the findings of the present study demonstrates that hemoglobin adducts of 4-ABP and 2,6-DMA are independent risk predictors of bladder cancer for lifelong nonsmokers. These consistent findings in this Chinese population with our previous findings among non-Asians in Los Angeles strongly implicate arylamines as major causal agents of human bladder cancer. Given that cigarette smoking accounts for only approximately 50% of the bladder cancer burden in the US, identification of nonsmoking related sources of 4-ABP and 2,6-DMA in the environment should be a high priority.
Acknowledgments
Grant Support: The research study was supported by R01 CA065726 and R01 CA114665, and partially supported by R01 CA080205-10S1 and R01 CA144034, all from the National Cancer Institute, Bethesda, Maryland, USA.
Footnotes
Conflict of interest: No potential conflicts of interest were disclosed.
REFERENCES
- 1.IARC Chemical agents and related occupations. IARC Monogr Eval Carcinog Risks Hum. 2012;100:9–562. [PMC free article] [PubMed] [Google Scholar]
- 2.Bryant MS, Skipper PL, Tannenbaum SR, Maclure M. Hemoglobin adducts of 4-aminobiphenyl in smokers and nonsmokers. Cancer Res. 1987;47:602–8. [PubMed] [Google Scholar]
- 3.Silverman DT, Devesa SS, Moore LL, Rothman N. Bladder cancer. In: Schottenfeld D, Fraumeni JJ, editors. Cancer Epidemiology and Preventioned. Oxford University Press; New York, NY: 2006. pp. 1101–27. [Google Scholar]
- 4.Skipper PL, Tannenbaum SR, Ross RK, Yu MC. Nonsmoking-related arylamine exposure and bladder cancer risk. Cancer Epidemiol Biomarkers Prev. 2003;12:503–7. [PubMed] [Google Scholar]
- 5.Castelao JE, Yuan JM, Skipper PL, Tannenbaum SR, Gago-Dominguez M, Crowder JS, et al. Gender- and smoking-related bladder cancer risk. J Natl Cancer Inst. 2001;93:538–45. doi: 10.1093/jnci/93.7.538. [DOI] [PubMed] [Google Scholar]
- 6.Jiang X, Yuan JM, Skipper PL, Tannenbaum SR, Yu MC. Environmental tobacco smoke and bladder cancer risk in never smokers of Los Angeles County. Cancer Res. 2007;67:7540–5. doi: 10.1158/0008-5472.CAN-07-0048. [DOI] [PubMed] [Google Scholar]
- 7.Tao L, Xiang YB, Wang R, Nelson HH, Gao YT, Chan KK, et al. Environmental tobacco smoke in relation to bladder cancer risk--the Shanghai bladder cancer study [corrected]. Cancer Epidemiol Biomarkers Prev. 2010;19:3087–95. doi: 10.1158/1055-9965.EPI-10-0823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.U. S. National Toxicology Program . Technical Report Series No. 278. NTP; Research Triangle Park, NC.: 1990. Toxicology and Carcinogenesis Studies of 2,6-Xylidine (2,6-Dimethylaniline) (CAS No. 87-62-7) in Charles RiVer CD Rats (Feed Studies). [PubMed] [Google Scholar]
- 9.2,6-Dimethylaniline (2,6-xylidine). IARC Monogr Eval Carcinog Risks Hum. 1993;57:323–35. [PMC free article] [PubMed] [Google Scholar]
- 10.IARC . Tobacco Smoke and Involuntary Smoking. Vol. 83. World Health Organization–International Agency for Research on Cancer; Lyon, France: 2004. Monographs on the evaluation of carcinogenic risks to humans. [PMC free article] [PubMed] [Google Scholar]
- 11.Hecht SS. Tobacco carcinogens, their biomarkers and tobacco-induced cancer. Nat Rev Cancer. 2003;3:733–44. doi: 10.1038/nrc1190. [DOI] [PubMed] [Google Scholar]
- 12.Gan J, Skipper PL, Gago-Dominguez M, Arakawa K, Ross RK, Yu MC, et al. Alkylaniline-hemoglobin adducts and risk of non-smoking-related bladder cancer. J Natl Cancer Inst. 2004;96:1425–31. doi: 10.1093/jnci/djh274. [DOI] [PubMed] [Google Scholar]
- 13.Yu MC, Skipper PL, Tannenbaum SR, Chan KK, Ross RK. Arylamine exposures and bladder cancer risk. Mutat Res. 2002:506–507. 21–8. doi: 10.1016/s0027-5107(02)00148-3. [DOI] [PubMed] [Google Scholar]
- 14.Bryant MS, Vineis P, Skipper PL, Tannenbaum SR. Hemoglobin adducts of aromatic amines: associations with smoking status and type of tobacco. Proc Natl Acad Sci U S A. 1988;85:9788–91. doi: 10.1073/pnas.85.24.9788. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Skipper PL. Precision and sensitivity of aminobiphenyl hemoglobin adduct assays in a long-term population study. J Chromatogr B Analyt Technol Biomed Life Sci. 2002;778:375–81. doi: 10.1016/s0378-4347(01)00463-7. [DOI] [PubMed] [Google Scholar]
- 16.Skarping G, Willers S, Dalene M. Determination of cotinine in urine using glass capillary gas chromatography and selective detection, with special reference to the biological monitoring of passive smoking. J Chromatogr. 1988;454:293–301. doi: 10.1016/s0021-9673(00)88622-7. [DOI] [PubMed] [Google Scholar]
- 17.Patrianakos C, Hoffmann D. Chemical studies on tobacco smoke. LXIV. On the analysis of aromatic amines in cigarette smoke. J Anal Toxicol. 1979;3:150–4. [Google Scholar]
- 18.Hoffmann D, Djordjevic MV, Hoffmann I. The changing cigarette. Preventive medicine. 1997;26:427–34. doi: 10.1006/pmed.1997.0183. [DOI] [PubMed] [Google Scholar]
- 19.Wu W, Zhang L, Jain RB, Ashley DL, Watson CH. Determination of carcinogenic tobacco-specific nitrosamines in mainstream smoke from U.S.-brand and non-U.S.-brand cigarettes from 14 countries. Nicotine Tob Res. 2005;7:443–51. doi: 10.1080/14622200500125898. [DOI] [PubMed] [Google Scholar]
- 20.Yu MC, Skipper PL, Taghizadeh K, Tannenbaum SR, Chan KK, Henderson BE, et al. Acetylator phenotype, aminobiphenyl-hemoglobin adduct levels, and bladder cancer risk in white, black, and Asian men in Los Angeles, California. J Natl Cancer Inst. 1994;86:712–6. doi: 10.1093/jnci/86.9.712. [DOI] [PubMed] [Google Scholar]
- 21.Tokiwa H, Nakagawa R, Horikawa K. Mutagenic/carcinogenic agents in indoor pollutants; the dinitropyrenes generated by kerosene heaters and fuel gas and liquefied petroleum gas burners. Mutat Res. 1985;157:39–47. doi: 10.1016/0165-1218(85)90047-3. [DOI] [PubMed] [Google Scholar]
- 22.Paputa-Peck MC, Marano RS, Schuetzle D, Riley TL, Hampton CV, Prater TJ, et al. Determination of nitrated polynuclear aromatic hydrocarbons in particulate extracts by capillary column gas chromatography with nitrogen selective detection. Anal Chem. 1983;55:1946–54. [Google Scholar]
- 23.Suzuki J, Meguro S, Morita O, Hirayama S, Suzuki S. Comparison of in vivo binding of aromatic nitro and amino compounds to rat hemoglobin. Biochem Pharmacol. 1989;38:3511–9. doi: 10.1016/0006-2952(89)90122-6. [DOI] [PubMed] [Google Scholar]
- 24.Chiang TA, Wu PF, Ko YC. Identification of carcinogens in cooking oil fumes. Environmental research. 1999;81:18–22. doi: 10.1006/enrs.1998.3876. [DOI] [PubMed] [Google Scholar]
- 25.Turesky RJ, Freeman JP, Holland RD, Nestorick DM, Miller DW, Ratnasinghe DL, et al. Identification of aminobiphenyl derivatives in commercial hair dyes. Chem Res Toxicol. 2003;16:1162–73. doi: 10.1021/tx030029r. [DOI] [PubMed] [Google Scholar]
- 26.Gago-Dominguez M, Castelao JE, Yuan JM, Yu MC, Ross RK. Use of permanent hair dyes and bladder-cancer risk. Int J Cancer. 2001;91:575–9. doi: 10.1002/1097-0215(200002)9999:9999<::aid-ijc1092>3.0.co;2-s. [DOI] [PubMed] [Google Scholar]
- 27.IARC . Occupational Exposures of Hairdressers and Barbers and Personal Use of Hair Colourants; Some Hair Dyes, Cosmetic Colourants, Industrial Dyestuffs and Aromatic Amines. Lyon, France: 1997. Monographs on the evaluation of carcinogenic risks to humans Volume 57 (1993). [PMC free article] [PubMed] [Google Scholar]
- 28.Short CR, Joseph M, Hardy ML. Covalent binding of [14C]-2,6-dimethylaniline to DNA of rat liver and ethmoid turbinate. J Toxicol Environ Health. 1989;27:85–94. doi: 10.1080/15287398909531280. [DOI] [PubMed] [Google Scholar]
- 29.Skipper PL, Trudel LJ, Kensler TW, Groopman JD, Egner PA, Liberman RG, et al. DNA adduct formation by 2,6-dimethyl-, 3,5-dimethyl-, and 3-ethylaniline in vivo in mice. Chem Res Toxicol. 2006;19:1086–90. doi: 10.1021/tx060082q. [DOI] [PubMed] [Google Scholar]
- 30.Bryant MS, Simmons HF, Harrell RE, Hinson JA. 2,6-Dimethylaniline--hemoglobin adducts from lidocaine in humans. Carcinogenesis. 1994;15:2287–90. doi: 10.1093/carcin/15.10.2287. [DOI] [PubMed] [Google Scholar]
- 31.Parker RJ, Collins JM, Strong JM. Identification of 2,6-xylidine as a major lidocaine metabolite in human liver slices. Drug metabolism and disposition: the biological fate of chemicals. 1996;24:1167–73. [PubMed] [Google Scholar]
- 32.Putter J, Sagner G. Chemical studies to detect residues of xylazine hydrochloride. Vet Med Rev. 1973;2:145–59. [Google Scholar]
- 33.Su Y, Mitchell SH, Mac AntSaoir S. Carbendazim and metalaxyl residues in post-harvest treated apples. Food Addit Contam. 2003;20:720–7. doi: 10.1080/0265203031000138268. [DOI] [PubMed] [Google Scholar]
- 34.Established Maximum Residue Limit - Metalaxyl. In: Agency PMR, editor. EMRL2008-21 & 33. the Health Canada Pest Management Regulatory Agency; Ottawa, Ontario, Canada: 2008. [Google Scholar]
- 35.DEFRA . The Pesticides (Maximum Residue Levels in Crops, Food and Feeding Stuffs) (England and Wales) (Amendment) (No.2), Regulations 2002. HMSO; London, UK: 2002. No. 2723. [Google Scholar]
