Our results show that increasing arsenic intake from drinking water was associated with bladder cancer risk only when comparing patients with p16+ or Rb+ tumors with controls (representing 72.8% and 74.0% of tumors, respectively), with a strong monotonic association with increasing intake (compared with lowest unlagged exposure, ORp16+ = 1.36, 95% CI = 1.47 to 1.85, Ptrend = .004; ORRb+ = 1.51, 95% CI = 1.56 to 1.94, Ptrend = .007) (Table 1). There was no association between arsenic and p16- or Rb- bladder tumors (Pheterogeneity by subtype = .03 for p16 and .06 for Rb). This heterogeneity was not evident across subtypes defined by stage or grade (Supplementary Table 1, available online) despite the relationship of these markers with stage and grade of bladder cancer (4).
Association between cumulative arsenic exposure and bladder cancer risk by tumor immunophenotype
Cumulative arsenic quartiles . | Case negative . | Case positive . | Control . | Immunophenotype* OR (95% CI)† . | Pheterogeneity‡ . | |
---|---|---|---|---|---|---|
. | . | . | . | p16 IHC (-) . | p16 IHC (+) . | . |
Unlagged, mg | ||||||
0–15.70 | 29 | 53 | 327 | Ref | Ref | |
>15.70–34.50 | 31 | 74 | 321 | 1.03 (0.59 to 1.79) | 1.36 (0.91 to 2.03) | |
>34.50–77.04 | 27 | 80 | 321 | 0.88 (0.50 to 1.55) | 1.47 (0.99 to 2.19) | |
>77.04 | 28 | 102 | 318 | 0.88 (0.50 to 1.56) | 1.85 (1.25 to 2.72) | .03 |
Ptrend§ | .60 | .005 | ||||
Lagged–40 y, mg | ||||||
0–3.52 | 33 | 56 | 313 | Ref | Ref | |
>3.52–8.77 | 28 | 69 | 308 | 0.80 (0.46 to 1.41) | 1.18 (0.78 to 1.77) | |
>8.77–22.42 | 20 | 73 | 311 | 0.61 (0.33 to 1.15) | 1.43 (0.95 to 2.16) | |
>22.42 | 32 | 107 | 305 | 0.98 (0.55 to 1.75) | 2.12 (1.39 to 3.22) | .06 |
Ptrend§ | .75 | <.001 | ||||
Unlagged, mg | Rb IHC (-) | Rb IHC (+) | ||||
0–15.70 | 29 | 46 | 327 | Ref | Ref | |
>15.70–34.50 | 23 | 72 | 321 | 0.79 (0.44 to 1.42) | 1.51 (1.00 to 2.30) | |
>34.50–77.04 | 18 | 76 | 321 | 0.60 (0.32 to 1.13) | 1.56 (1.03 to 2.37) | |
>77.04 | 30 | 93 | 318 | 0.95 (0.54 to 1.67) | 1.94 (1.29 to 2.92) | .19 |
Ptrend§ | .78 | .007 | ||||
Lagged–40 y, mg | ||||||
0–3.52 | 25 | 56 | 313 | Ref | Ref | |
>3.52–8.77 | 24 | 63 | 308 | 0.95 (0.51 to 1.76) | 1.13 (0.74 to 1.73) | |
>8.77–22.42 | 23 | 64 | 311 | 0.93 (0.49 to 1.77) | 1.24 (0.80 to 1.92) | |
>22.42 | 27 | 101 | 305 | 1.03 (0.54 to 1.95) | 2.00 (1.30 to 3.05) | .06 |
Ptrend§ | .83 | <.001 |
Cumulative arsenic quartiles . | Case negative . | Case positive . | Control . | Immunophenotype* OR (95% CI)† . | Pheterogeneity‡ . | |
---|---|---|---|---|---|---|
. | . | . | . | p16 IHC (-) . | p16 IHC (+) . | . |
Unlagged, mg | ||||||
0–15.70 | 29 | 53 | 327 | Ref | Ref | |
>15.70–34.50 | 31 | 74 | 321 | 1.03 (0.59 to 1.79) | 1.36 (0.91 to 2.03) | |
>34.50–77.04 | 27 | 80 | 321 | 0.88 (0.50 to 1.55) | 1.47 (0.99 to 2.19) | |
>77.04 | 28 | 102 | 318 | 0.88 (0.50 to 1.56) | 1.85 (1.25 to 2.72) | .03 |
Ptrend§ | .60 | .005 | ||||
Lagged–40 y, mg | ||||||
0–3.52 | 33 | 56 | 313 | Ref | Ref | |
>3.52–8.77 | 28 | 69 | 308 | 0.80 (0.46 to 1.41) | 1.18 (0.78 to 1.77) | |
>8.77–22.42 | 20 | 73 | 311 | 0.61 (0.33 to 1.15) | 1.43 (0.95 to 2.16) | |
>22.42 | 32 | 107 | 305 | 0.98 (0.55 to 1.75) | 2.12 (1.39 to 3.22) | .06 |
Ptrend§ | .75 | <.001 | ||||
Unlagged, mg | Rb IHC (-) | Rb IHC (+) | ||||
0–15.70 | 29 | 46 | 327 | Ref | Ref | |
>15.70–34.50 | 23 | 72 | 321 | 0.79 (0.44 to 1.42) | 1.51 (1.00 to 2.30) | |
>34.50–77.04 | 18 | 76 | 321 | 0.60 (0.32 to 1.13) | 1.56 (1.03 to 2.37) | |
>77.04 | 30 | 93 | 318 | 0.95 (0.54 to 1.67) | 1.94 (1.29 to 2.92) | .19 |
Ptrend§ | .78 | .007 | ||||
Lagged–40 y, mg | ||||||
0–3.52 | 25 | 56 | 313 | Ref | Ref | |
>3.52–8.77 | 24 | 63 | 308 | 0.95 (0.51 to 1.76) | 1.13 (0.74 to 1.73) | |
>8.77–22.42 | 23 | 64 | 311 | 0.93 (0.49 to 1.77) | 1.24 (0.80 to 1.92) | |
>22.42 | 27 | 101 | 305 | 1.03 (0.54 to 1.95) | 2.00 (1.30 to 3.05) | .06 |
Ptrend§ | .83 | <.001 |
Cutoff values used to define negative and positive staining for each marker were based on the distribution of the percentage of positive cells among all cases (30% for both markers). Spearman correlation among markers was .24 (P < .05, two-sided P value computed using t distribution with n = 2 degrees of freedom). CI = confidence interval; HR = hazard ratio; IHC = immunohistochemistry.
Odds ratios and 95% confidence intervals from polytomous logistic regression are adjusted for age, sex, ethnicity, smoking, disinfection by products, and high-risk occupation.
Pheterogeneity based on a two-sided Wald test.
Ptrend based on a two-sided Wald test for linear trend.
Association between cumulative arsenic exposure and bladder cancer risk by tumor immunophenotype
Cumulative arsenic quartiles . | Case negative . | Case positive . | Control . | Immunophenotype* OR (95% CI)† . | Pheterogeneity‡ . | |
---|---|---|---|---|---|---|
. | . | . | . | p16 IHC (-) . | p16 IHC (+) . | . |
Unlagged, mg | ||||||
0–15.70 | 29 | 53 | 327 | Ref | Ref | |
>15.70–34.50 | 31 | 74 | 321 | 1.03 (0.59 to 1.79) | 1.36 (0.91 to 2.03) | |
>34.50–77.04 | 27 | 80 | 321 | 0.88 (0.50 to 1.55) | 1.47 (0.99 to 2.19) | |
>77.04 | 28 | 102 | 318 | 0.88 (0.50 to 1.56) | 1.85 (1.25 to 2.72) | .03 |
Ptrend§ | .60 | .005 | ||||
Lagged–40 y, mg | ||||||
0–3.52 | 33 | 56 | 313 | Ref | Ref | |
>3.52–8.77 | 28 | 69 | 308 | 0.80 (0.46 to 1.41) | 1.18 (0.78 to 1.77) | |
>8.77–22.42 | 20 | 73 | 311 | 0.61 (0.33 to 1.15) | 1.43 (0.95 to 2.16) | |
>22.42 | 32 | 107 | 305 | 0.98 (0.55 to 1.75) | 2.12 (1.39 to 3.22) | .06 |
Ptrend§ | .75 | <.001 | ||||
Unlagged, mg | Rb IHC (-) | Rb IHC (+) | ||||
0–15.70 | 29 | 46 | 327 | Ref | Ref | |
>15.70–34.50 | 23 | 72 | 321 | 0.79 (0.44 to 1.42) | 1.51 (1.00 to 2.30) | |
>34.50–77.04 | 18 | 76 | 321 | 0.60 (0.32 to 1.13) | 1.56 (1.03 to 2.37) | |
>77.04 | 30 | 93 | 318 | 0.95 (0.54 to 1.67) | 1.94 (1.29 to 2.92) | .19 |
Ptrend§ | .78 | .007 | ||||
Lagged–40 y, mg | ||||||
0–3.52 | 25 | 56 | 313 | Ref | Ref | |
>3.52–8.77 | 24 | 63 | 308 | 0.95 (0.51 to 1.76) | 1.13 (0.74 to 1.73) | |
>8.77–22.42 | 23 | 64 | 311 | 0.93 (0.49 to 1.77) | 1.24 (0.80 to 1.92) | |
>22.42 | 27 | 101 | 305 | 1.03 (0.54 to 1.95) | 2.00 (1.30 to 3.05) | .06 |
Ptrend§ | .83 | <.001 |
Cumulative arsenic quartiles . | Case negative . | Case positive . | Control . | Immunophenotype* OR (95% CI)† . | Pheterogeneity‡ . | |
---|---|---|---|---|---|---|
. | . | . | . | p16 IHC (-) . | p16 IHC (+) . | . |
Unlagged, mg | ||||||
0–15.70 | 29 | 53 | 327 | Ref | Ref | |
>15.70–34.50 | 31 | 74 | 321 | 1.03 (0.59 to 1.79) | 1.36 (0.91 to 2.03) | |
>34.50–77.04 | 27 | 80 | 321 | 0.88 (0.50 to 1.55) | 1.47 (0.99 to 2.19) | |
>77.04 | 28 | 102 | 318 | 0.88 (0.50 to 1.56) | 1.85 (1.25 to 2.72) | .03 |
Ptrend§ | .60 | .005 | ||||
Lagged–40 y, mg | ||||||
0–3.52 | 33 | 56 | 313 | Ref | Ref | |
>3.52–8.77 | 28 | 69 | 308 | 0.80 (0.46 to 1.41) | 1.18 (0.78 to 1.77) | |
>8.77–22.42 | 20 | 73 | 311 | 0.61 (0.33 to 1.15) | 1.43 (0.95 to 2.16) | |
>22.42 | 32 | 107 | 305 | 0.98 (0.55 to 1.75) | 2.12 (1.39 to 3.22) | .06 |
Ptrend§ | .75 | <.001 | ||||
Unlagged, mg | Rb IHC (-) | Rb IHC (+) | ||||
0–15.70 | 29 | 46 | 327 | Ref | Ref | |
>15.70–34.50 | 23 | 72 | 321 | 0.79 (0.44 to 1.42) | 1.51 (1.00 to 2.30) | |
>34.50–77.04 | 18 | 76 | 321 | 0.60 (0.32 to 1.13) | 1.56 (1.03 to 2.37) | |
>77.04 | 30 | 93 | 318 | 0.95 (0.54 to 1.67) | 1.94 (1.29 to 2.92) | .19 |
Ptrend§ | .78 | .007 | ||||
Lagged–40 y, mg | ||||||
0–3.52 | 25 | 56 | 313 | Ref | Ref | |
>3.52–8.77 | 24 | 63 | 308 | 0.95 (0.51 to 1.76) | 1.13 (0.74 to 1.73) | |
>8.77–22.42 | 23 | 64 | 311 | 0.93 (0.49 to 1.77) | 1.24 (0.80 to 1.92) | |
>22.42 | 27 | 101 | 305 | 1.03 (0.54 to 1.95) | 2.00 (1.30 to 3.05) | .06 |
Ptrend§ | .83 | <.001 |
Cutoff values used to define negative and positive staining for each marker were based on the distribution of the percentage of positive cells among all cases (30% for both markers). Spearman correlation among markers was .24 (P < .05, two-sided P value computed using t distribution with n = 2 degrees of freedom). CI = confidence interval; HR = hazard ratio; IHC = immunohistochemistry.
Odds ratios and 95% confidence intervals from polytomous logistic regression are adjusted for age, sex, ethnicity, smoking, disinfection by products, and high-risk occupation.
Pheterogeneity based on a two-sided Wald test.
Ptrend based on a two-sided Wald test for linear trend.
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