Abstract
Objective To determine if the use of pioglitazone is associated with an increased risk of incident bladder cancer in people with type 2 diabetes.
Design Retrospective cohort study using a nested case-control analysis.
Setting Over 600 general practices in the United Kingdom contributing to the general practice research database.
Participants The cohort consisted of people with type 2 diabetes who were newly treated with oral hypoglycaemic agents between 1 January 1988 and 31 December 2009. All incident cases of bladder cancer occurring during follow-up were identified and matched to up to 20 controls on year of birth, year of cohort entry, sex, and duration of follow-up. Exposure was defined as ever use of pioglitazone, along with measures of duration and cumulative dosage.
Main outcome measure Risk of incident bladder cancer associated with use of pioglitazone.
Results The cohort included 115 727 new users of oral hypoglycaemic agents, with 470 patients diagnosed as having bladder cancer during follow-up (rate 89.4 per 100 000 person years). The 376 cases of bladder cancer that were diagnosed beyond one year of follow-up were matched to 6699 controls. Overall, ever use of pioglitazone was associated with an increased rate of bladder cancer (rate ratio 1.83, 95% confidence interval 1.10 to 3.05). The rate increased as a function of duration of use, with the highest rate observed in patients exposed for more than 24 months (1.99, 1.14 to 3.45) and in those with a cumulative dosage greater than 28 000 mg (2.54, 1.05 to 6.14).
Conclusion The use of pioglitazone is associated with an increased risk of incident bladder cancer among people with type 2 diabetes.
Introduction
The safety of pioglitazone, an oral antidiabetic agent in the thiazolidinedione class, is controversial. Although pioglitazone is effective at reducing glycated haemoglobin (HbA1c) levels and may decrease the risk of cardiovascular events,1 2 it has also been associated with weight gain and an increased risk of congestive heart failure.1 Although available data are limited, there is now some evidence suggesting that pioglitazone may be associated with an increased risk of bladder cancer.3 4 5 In the Prospective Pioglitazone Clinical Trial in Macrovascular Events (PROactive) trial, the reported incidence of bladder cancer was higher among participants randomised to pioglitazone than among those randomised to placebo (14 v 6 cases), although this failed to reach statistical significance (P=0.069).1 However, it was later reported that one case in the placebo group showed benign histology,6 and the exclusion of this case resulted in a statistically significant increased risk of bladder cancer (14 v 5 cases, relative risk 2.83, 95% confidence interval 1.02 to 7.85).7 With respect to observational studies, a signal was observed in the US Food and Drug Administration adverse event reporting system.3 Furthermore, an interim analysis of an ongoing US cohort did not find an association between pioglitazone and bladder cancer overall but found a 40% increased risk in patients who used the drug for more than 24 months.4 In contrast, a modest increased risk was observed overall in a French cohort.5 Based on these findings, France decided to suspend the sale of pioglitazone, whereas Germany and Luxembourg recommended that doctors should not start new patients on this drug.8 After carrying out a review of the safety of pioglitazone, the European Medicines Agency decided to maintain the marketing authorisation of the drug,8 whereas the FDA and Health Canada added warnings of a possible increased risk of bladder cancer in the product monograph.9 10 Two subsequently published Taiwanese studies found no statistically significant association between pioglitazone and bladder cancer.11 12
All of the aforementioned studies included prevalent users of antidiabetic drugs, which may have underestimated the strength of the association between pioglitazone and bladder cancer.4 5 11 12 As available data on the reported association between pioglitazone and bladder cancer are limited, additional studies are needed to inform regulatory agencies, doctors, and patients on its long term safety. We carried out a population based study to determine if pioglitazone is associated with an increased risk of bladder cancer in people with type 2 diabetes.
Methods
This study was carried out using the UK general practice research database, the world’s largest computerised database of longitudinal records from primary care.13 It contains the complete primary care medical record of more than 10 million people enrolled in more than 600 general practices. The geographical distribution of the practices has been shown to be representative of the UK population, and age and sex distributions of patients in the database are similar to those reported by the national population census.14 Participating general practitioners have been trained to record medical information, including demographic data, medical diagnoses, procedures, and deaths using a standardised form. Prescriptions issued by doctors using the general practice research database are automatically transcribed into the computer record. In addition, the database collects information on lifestyle variables such as body mass index, and quantitative and qualitative data pertaining to smoking and alcohol use. The Read classification is used to enter medical diagnoses and procedures, and prescriptions are recorded based on the UK Prescription Pricing Authority Dictionary. The recorded information on diagnoses and drug use has been validated and proved to be of high quality.15 16 17 18
Study population
Using the general practice research database, we identified all patients who were prescribed their first ever oral antidiabetic agent, with at least one year of medical history in the database before that prescription, between 1 January 1988 and 31 December 2009. The date of entry to the cohort was defined by the date of this first prescription. The antidiabetic agents considered at cohort entry consisted of sulfonylureas (for example, glyburide, gliclazide, glipizide), metformin, thiazolidinediones (pioglitazone, rosiglitazone), and other oral hypoglycaemic agents (meglitinides, dipeptidyl peptidase-4 inhibitors, alpha-glucosidase inhibitors, glucagon-like peptide-1 analogues, and guar gum). We excluded those patients who started treatment with insulin as they were more likely to have type 1 diabetes or advanced type 2 diabetes. Patients who started insulin during follow-up, however, were retained in the cohort. We excluded patients who were less than 40 years of age at the time of their first oral antidiabetic prescription, as well as those with a history of bladder cancer at any time before cohort entry. Participants were followed until a diagnosis of bladder cancer, death from any cause, end of registration with the general practice, or end of the study period (31 December 2009), whichever came first.
Case-control selection
To investigate the association between pioglitazone and the risk of bladder cancer we carried out a nested case-control analysis. We used this approach because of the time varying nature of drug use, the size of the cohort, and the long duration of follow-up.19 Compared with a full cohort approach using a survival analysis with time dependent variables, a nested case-control analysis is computationally more efficient,20 while producing odds ratios that are unbiased estimators of incidence rate ratios with little or no loss in precision.19 20 21
We used Read codes to identify all incident cases of bladder cancer occurring during follow-up. For each case, we used the date of the cancer diagnosis to define the index date. Up to 20 controls were randomly selected from the case’s risk set, after matching on year of birth, year of cohort entry, sex, and duration of follow-up. By definition, all controls were alive, had no previous diagnosis of bladder cancer, and were registered with their general practice when they were matched to a given case, and thus had equal duration of medical history information at the risk set date. The date of the risk set defined the index date for controls. To consider a latency time window we restricted all analyses to cases and matched controls with at least one year of follow-up between cohort entry and index date.
Use of thiazolidinediones
For cases and controls we obtained information on prescription of all antidiabetic agents prescribed at any time before the index date. For all definitions of use, including the other antidiabetic agents, we did not consider use initiated in the year immediately before the index date to take into account a biologically meaningful latency time window, and to minimise reverse causation, where initiation of a treatment may have been influenced by early signs or symptoms of cancer.
The definition of primary exposure focused on the ever use of pioglitazone and rosiglitazone, defined by the presence of at least one prescription between cohort entry and the year before the index date. Thus patients were classified into one of four mutually exclusive categories for use of thiazolidinediones: exclusive ever use of pioglitazone, exclusive ever use of rosiglitazone, ever use of both pioglitazone and rosiglitazone (mainly switchers from one drug to the other), and never use of any thiazolidinedione. Never users served as the reference category in the analyses.
To examine potential dose-response relations between pioglitazone and bladder cancer we redefined use in secondary analyses. Therefore, for patients deemed to be exclusive ever users of pioglitazone in the primary exposure definition, we calculated their cumulative duration of use, defined as the time between the first and last prescription, plus the duration of that last prescription. To increase the comparability of our results with those of previous observational studies,4 5 we classified cumulative duration of use as ≤12 months, 13-24 months , and >24 months. Finally, in the third approach we computed the cumulative dosage by multiplying the daily dose of each pioglitazone prescription by its specified prescription duration and adding these prescription specific values across all prescriptions received by a given patient between cohort entry and index date. As with cumulative duration, we categorised this variable using the same cut-offs as used in previous studies4 5: ≤10 500 mg, 10 501-28 000 mg, and >28 000 mg. Similar dose-response analyses were also done for rosiglitazone.
Statistical analysis
We used conditional logistic regression to estimate rate ratios and corresponding 95% confidence intervals for the association between pioglitazone use and the risk of incident bladder cancer. In our first model we evaluated whether exclusive ever use of pioglitazone, when compared with never use of any thiazolidinedione, was associated with an increased risk of bladder cancer. Identical analyses were done for the thiazolidinedione rosiglitazone, which has not been associated with an increased risk of bladder cancer. In a sensitivity analysis to assess the potential impact of confounding by indication, we compared exclusive ever users of pioglitazone with exclusive ever users of rosiglitazone.
In our second and third models we evaluated whether there was a dose-response relation between exclusive ever use of pioglitazone and bladder cancer in terms of cumulative duration of use and cumulative dosage. These analyses were also done for rosiglitazone. We assessed linear trend by entering these dose-response variables as continuous variables in the conditional logistic models. In addition to year of birth, year of cohort entry, sex, and duration of follow-up (on which the logistic regression models were conditioned), we adjusted for several potential confounders measured at any time before cohort entry: HbA1c (last measure before cohort entry), excessive alcohol use (based on alcohol related disorders, such as alcoholism, alcoholic cirrhosis of the liver, alcoholic hepatitis and failure, and other related disorders), obesity (body mass index ≥30 kg/m2), smoking (ever versus never), previous cancer (other than non-melanoma skin cancer), previous bladder conditions (such as cystitis and bladder stones), and Charlson comorbidity score,22 modified for use in the general practice research database23 and adapted not to include diabetes and previous cancer, to avoid duplicate adjustments. Models were further adjusted for ever use of other antidiabetic agents (metformin, sulfonylureas, insulins, and other oral hypoglycaemic agents), defined as at least one prescription between cohort entry and the year before index date. For all models we calculated absolute adjusted rate differences and corresponding 95% confidence intervals using the formula: R0*(1−RR), where R0 was the overall bladder cancer rate in the cohort and RR was the adjusted rate ratio for bladder cancer in relation to use of pioglitazone.
We carried out three sensitivity analyses to assess the robustness of our findings. Initially we restricted all analyses to cases and matched controls with at least one year of follow-up and excluded antidiabetic drugs started during the year before the index date to consider a latency time window. However, to account for the possibility that pioglitazone may act as a promoter rather than an inductor of bladder cancer, we repeated the analyses without considering a latency time window. In a second sensitivity analysis we assessed potential misclassification of use by redefining ever use of pioglitazone and rosiglitazone as receiving at least three prescriptions within a 12 month period, thus minimising the inclusion of patients who may not have been regular users or used these drugs sporadically. Finally, in a third sensitivity analysis we repeated the cumulative duration of use and cumulative dosage analyses by categorising these variables in tertile categories, based on the distribution of use in the controls. All analyses were done with SAS version 9.2 (SAS Institute, Cary, NC).
Results
Of the 241 111 patients prescribed antidiabetic agents during the study period, 115 727 met the study inclusion criteria (figure). The mean age at cohort entry was 64.1 (SD 12.0) years, and the mean duration of follow-up was 4.6 (SD 3.6) years. At cohort entry, the median HbA1c was 8.2%, and in descending order, most patients received metformin monotherapy (67%), followed by sulfonylurea monotherapy (30%), and thiazolidinedione monotherapy (0.5%), whereas the rest used other agents or combinations of agents (3%). No patients received insulin at cohort entry, as per the inclusion criteria. The mean duration of pioglitazone use among controls was 2.2 (SD 1.5) years (range 28 days to 6.7 years) and was similar for rosiglitazone, where the mean duration was 2.3 (SD 1.5) years (range 28 days to 7.6 years).
A total of 470 patients had a diagnosis of incident bladder cancer during 526 559 person years of follow-up, yielding an overall rate for bladder cancer of 89.4 per 100 000 person years (95% confidence interval 81.4 to 97.7); the incidence rate of bladder cancer in the general UK population was 73 per 100 000 person years in 2008, for a population aged at least 65 years.24 The higher incidence rate observed in our cohort is consistent with data suggesting an association between type 2 diabetes and an increased risk of bladder cancer.25
The primary analyses were restricted to 376 cases, matched to 6699 controls, with at least one year of follow-up between cohort entry and index date to account for latency. Table 1 presents the characteristics of these cases and matched controls. Cases were predominantly male. Known risk factors significantly associated with bladder cancer were smoking, previous diagnoses of cancer (other than non-melanoma skin cancer), and a higher comorbidity score. Table 2 presents the patterns of use of the different antidiabetic agents, measured between cohort entry and the year before the index date, among cases and matched controls.
Table 1.
Characteristics | Cases (n=376) | Controls (n=6699) | Crude rate ratio (95% CI) |
---|---|---|---|
Mean (SD) age (years)* | 68.9 (9.3) | 68.9 (8.6) | — |
Men* | 306 (81.4) | 5400 (81.4) | — |
Mean (SD) duration of follow-up (years)* | 4.8 (3.2) | 4.8 (2.7) | — |
Excessive alcohol use† | 23 (6.1) | 430 (6.4) | 0.95 (0.63 to 1.45) |
Body mass index (kg/m2): | |||
<30 | 222 (59.0) | 4171 (62.3) | 1.00 (reference) |
≥30 | 140 (37.2) | 2416 (36.1) | 1.08 (0.88 to 1.34) |
Unknown | 14 (3.7) | 112 (1.7) | 2.20 (1.28 to 3.78) |
Smoking status: | |||
Never | 102 (27.1) | 2743 (41.0) | 1.00 (reference) |
Ever | 240 (63.8) | 3361 (50.2) | 1.86 (1.47 to 2.34) |
Unknown | 34 (9.0) | 595 (8.9) | 1.51 (1.02 to 2.22) |
HbA1c: | |||
≤7.4% | 198 (52.7) | 3384 (50.5) | 1.00 (reference) |
>7.4% | 106 (28.2) | 2042 (30.5) | 0.89 (0.71 to 1.13) |
Unknown | 72 (19.2) | 1273 (19.0) | 0.97 (0.74 to 1.27) |
Previous bladder conditions | 23 (6.1) | 335 (5.0) | 1.28 (0.82 to 2.01) |
Previous cancer‡ | 50 (13.3) | 481 (7.2) | 1.89 (1.40 to 2.55) |
Mean (SD) Charlson comorbidity score§ | 1.07 (1.34) | 0.95 (1.17) | 1.10 (1.01 to 1.20) |
*Matching variables (along with year of cohort entry). For controls, means and percentages were weighted by the inverse number of controls matched to each case.
†Based on alcohol related disorders, such as alcoholism, alcoholic cirrhosis of the liver, alcoholic hepatitis and failure, and other related disorders.
‡Cancers other than non-melanoma skin cancer.
§Calculation based on presence of 19 categories of comorbidity.
Table 2.
Antidiabetic agents | No (%) of cases (n=376) | No (%) of controls (n=6699) | Crude rate ratio (95% CI) |
---|---|---|---|
Metformin only | 119 (31.7) | 2104 (31.4) | 1.00 (reference) |
Sulfonylureas only | 69 (18.4) | 1564 (23.4 ) | 0.62 (0.44 to 0.87) |
Metformin and sulfonylureas | 99 (26.3) | 1688 (25.2) | 0.98 (0.72 to 1.33) |
Metformin and thiazolidinediones | 12 (3.2) | 231 (3.5) | 0.99 (0.53 to 1.86) |
Metformin, sulfonylureas, and thiazolidinediones | 23 (6.1) | 381 (5.7) | 1.06 (0.64 to 1.75) |
Metformin, sulfonylureas, and insulin | 15 (4.0) | 211 (3.2) | 1.04 (0.56 to 1.91) |
Metformin, sulfonylureas, and other agents† | 7 (1.9) | 72 (1.1) | 1.49 (0.65 to 3.44) |
Metformin, sulfonylureas, thiazolidinediones, and insulin | 9 (2.4) | 80 (1.2) | 1.86 (0.86 to 4.02) |
Other treatment combinations | 23 (6.1) | 368 (5.5) | 1.03 (0.63 to 1.68) |
*Matched on year of birth, year of cohort entry, sex, and duration of follow-up.
†This category included meglitinides, dipeptidyl peptidase-4 inhibitors, alpha-glucosidase inhibitors, glucagon-like peptide-1 analogues, and guar gum. These categories are mutually exclusive.
Exclusive ever use of pioglitazone was associated with an 83% increased rate of bladder cancer (adjusted rate ratio 1.83, 95% confidence interval 1.10 to 3.05, table 3). This corresponded to an absolute adjusted rate difference of 74 per 100 000 person years (95% confidence interval 9 to 140). This effect was not observed for exclusive ever use of rosiglitazone (adjusted rate ratio 1.14, 95% confidence interval 0.78 to 1.68), the other thiazolidinedione available in the United Kingdom during the study period.
Table 3.
Use of thiazolidinediones | No (%) of cases (n=376) | No (%) of controls (n=6699) | Crude rate ratio (95% CI) | Adjusted rate ratio (95% CI)† |
---|---|---|---|---|
Never use of any thiazolidinedione | 319 (84.8) | 5856 (87.4) | 1.00 (reference) | 1.00 (Reference) |
Exclusive ever use of pioglitazone | 19 (5.1) | 191 (2.9) | 1.87 (1.13 to 3.09) | 1.83 (1.10 to 3.05) |
Exclusive ever use of rosiglitazone | 36 (9.6) | 596 (8.9) | 1.16 (0.79 to 1.69) | 1.14 (0.78 to 1.68) |
Ever use of both pioglitazone and rosiglitazone | 2 (0.5) | 56 (0.8) | 0.74 (0.18 to 3.08) | 0.78 (0.18 to 3.29) |
*Matched on year of birth, year of cohort entry, sex, and duration of follow-up.
†Adjusted for excessive alcohol use, obesity, smoking status, HbA1c, previous bladder conditions, previous cancer (other than non-melanoma skin cancer), Charlson comorbidity score, and ever use of other antidiabetic agents (metformin, sulfonylureas, insulin, and other oral hypoglycaemic agents).
Participants prescribed thiazolidinediones were more likely to be obese, to have ever smoked, and to have uncontrolled diabetes than those who never used any thiazolidinedione. Exclusive ever users of pioglitazone and rosiglitazone, however, were generally similar on most variables, and both groups had lower comorbidity scores than participants who never used any thiazolidinedione (see supplementary table 1). In a sensitivity analysis to assess confounding by indication, we compared exclusive ever users of pioglitazone with exclusive ever users of rosiglitazone. The adjusted rate ratio was numerically increased but did not reach statistical significance (adjusted rate ratio 1.60, 95% confidence interval 0.88 to 2.90) owing to few users (19 v 36). None the less, the results of this sensitivity analysis are consistent with those of our primary analysis.
There was evidence of a dose-response relation between pioglitazone use and the rate of bladder cancer (table 4). In terms of cumulative duration of use, the rate of bladder cancer increased as a function of duration of use, with the highest rate observed in users of more than 24 months (adjusted rate ratio 1.99, 95% confidence interval 1.14 to 3.45), corresponding to an absolute adjusted rate difference of 88 per 100 000 person years (95% confidence interval 12 to 165). For cumulative dosage, a statistically significant association was observed in patients who received more than 28 000 mg (2.54, 1.05 to 6.14), corresponding to an absolute adjusted rate difference of 137 per 100 000 person years (95% confidence interval 4 to 271). There was no evidence of a dose-response relation with rosiglitazone, both for cumulative duration of use and cumulative dosage (see supplementary table 2).
Table 4.
Variables | No (%) of cases (n=376) | No (%) of controls (n=6699) | Crude rate ratio (95% CI) | Adjusted rate ratio (95% CI)† |
---|---|---|---|---|
Never use of any thiazolidinediones | 319 (84.8) | 5856 (87.4) | 1.00 (reference) | 1.00 (reference) |
Cumulative duration of pioglitazone: | ||||
≤12 months | 1 (0.3) | 27 (0.4) | 0.69 (0.09 to 5.11) | 0.56 (0.07 to 4.42) |
13-24 months | 2 (0.5) | 11 (0.2) | 2.99 (0.61 to 14.59) | 3.03 (0.63 to 14.52) |
>24 months | 16 (4.3) | 153 (2.3) | 2.00 (1.16 to 3.45) | 1.99 (1.14 to 3.45) |
P=0.050 for trend | ||||
Cumulative dosage of pioglitazone: | ||||
≤10 500 mg | 7 (1.9) | 70 (1.0) | 1.63 (0.72 to 3.69) | 1.58 (0.69 to 3.62) |
10 501-28 000 mg | 6 (1.6) | 68 (1.0) | 1.75 (0.75 to 4.07) | 1.66 (0.70 to 3.94) |
>28 000 mg | 6 (1.6) | 53 (0.8) | 2.44 (1.02 to 5.84) | 2.54 (1.05 to 6.14) |
P=0.030 for trend |
*Matched on year of birth, year of cohort entry, sex, and duration of follow-up.
†Adjusted for excessive alcohol use, obesity, smoking status, HbA1c, previous bladder conditions, previous cancer (other than non-melanoma skin cancer), Charlson comorbidity score, and ever use of other antidiabetic agents (metformin, sulfonylureas, insulin, and other oral hypoglycaemic agents).
Sensitivity analyses
To incorporate a latency time window, the primary analysis was restricted to the 376 cases and their matched controls that had at least one year of follow-up before their index date. In a sensitivity analysis, we repeated the analyses without considering a latency time window. These analyses included all 490 cases and their matched controls. The exclusion of the latency window did not alter our results appreciably, as only one case was exposed to pioglitazone in the first year of follow-up (data not shown). In a second sensitivity analysis, we redefined exclusive ever use of pioglitazone and rosiglitazone as receiving at least three prescriptions within a 12 month period. Compared with the results of the primary analysis, this analysis yielded a slightly higher point estimate for pioglitazone (adjusted rate ratio 1.88, 95% confidence interval 1.10 to 3.22) but a slightly lower one for rosiglitazone (1.11, 0.74 to 1.66), indicating minimal misclassification of use. Finally, categorising cumulative duration and cumulative dosage of pioglitazone into three categories produced results consistent with those of our primary analyses on duration and dose (data not shown).
Discussion
The use of pioglitazone in patients newly treated with oral hypoglycaemic agents is associated with a significant increased risk of bladder cancer. This effect was not observed with rosiglitazone, confirming a drug specific effect. Furthermore, a dose-response relation was observed for cumulative duration of use, with the highest risk observed in participants who used pioglitazone for more than 24 months. A similar dose-response relation was observed in patients who received a high cumulative dosage of pioglitazone. These findings remained consistent in several sensitivity analyses.
Comparison with previous studies
To our knowledge, few observational studies have examined the association between pioglitazone use and the risk of bladder cancer.3 4 5 11 12 The first study did not find an overall increase in risk (hazard ratio 1.2, 95% confidence interval 0.9 to 1.5), although a modest increased risk was observed after two years of use (1.4, 1.03 to 2.0).4 The second study found that pioglitazone was associated with a modest increased risk of bladder cancer overall (hazard ratio 1.22, 95% confidence interval 1.05 to 1.43), which was driven by an increased risk after two years of use (1.34, 1.04 to 1.79).5 In the third study, ever use of pioglitazone was not associated with an increased risk of bladder cancer overall (odds ratio 0.95, 95% confidence interval 0.70 to 1.29), although an increased risk could not be excluded with more than three years of use (1.56, 0.51 to 4.47). In the fourth study, ever use of pioglitazone was not statistically associated with an increased risk of bladder cancer, but the study was possibly underpowered owing to the few cases of bladder cancer included in the analysis (n=165).12 By combining both new and prevalent users of antidiabetic drugs, these previous studies may have underestimated the association between pioglitazone and bladder cancer.26 Specifically, patients receiving pioglitazone who developed bladder cancer before entry to the cohort were, according to the inclusion criteria, selected out of the previous studies. Thus these designs may have missed several cases of bladder cancer that developed among pioglitazone users, a limitation further exacerbated by the fact that this therapy seems to increase the risk over a relatively short duration of use—that is, after two years. Furthermore, the magnitude of the association observed in our study (twofold increased risk after 24 months of use) is consistent with the nearly threefold increased risk observed in the PROactive trial after an average three year follow-up (14 cases in the pioglitazone group versus 5 in the placebo group).7
Possible biological mechanisms
Thiazolidinedione peroxisome proliferator activated receptor gamma (PPARγ) ligands have complex biological effects,27 28 but no obvious a priori mechanism links these agents to bladder cancer. In fact, growth inhibitory actions attributed to on-target effects of PPAR ligands have been reported in tissue culture systems, and these results do not predict increased risk of carcinogenesis.29 30 31 However, bladder tumours have been reported in laboratory animals exposed to compounds with PPARγ activity, although these models are of uncertain relevance to human carcinogenesis, as considerable species specificity has been noted, with pioglitazone induced bladder cancer being documented in rats but not in mice.32 One line of research implicates chronic bladder irritation as a result of crystal formation, rather than PPAR related signalling, in the observed urothelial carcinogenesis.33 It is of interest that muraglitazar, another PPAR agonist that has been experimentally associated with bladder cancer in rats,34 is also associated with urolithiasis. However, additional research is needed to elucidate the mechanisms by which a subset of pioglitazone PPAR agonists may increase the risk of bladder cancer, and specifically to determine if risk is indeed correlated with increased urinary crystals in humans, and if so to determine the basis of the crystal formation.
Strengths and limitations of the study
This population based study has several strengths and some potential limitations. We assembled a large cohort of patients with type 2 diabetes, followed for up to 22 years. Thus the size and long term follow-up of patients enabled the identification of a large number of bladder cancer cases with varying duration of diabetes. In addition, because the general practice research database contains prerecorded information on prescriptions, the possibility of recall bias was eliminated. However, drug information in the general practice research database represents prescriptions written by general practitioners. As such, it is unknown whether prescriptions were actually filled at the pharmacy and whether patients fully adhered to the treatment regimen. Furthermore, prescriptions written by specialists or issued during hospital stay are not recorded in the database. Such misclassification of drug use would be non-differential and therefore bias the results towards the null. Thiazolidinediones, such as pioglitazone, are indicated for patients intolerant of metformin or sulfonylureas, for patients in whom these drugs are contraindicated, and for patients with poorly controlled diabetes already taking other oral hypoglycaemic agents. Thus people receiving thiazolidinediones are typically at an advanced disease stage than those receiving other oral agents,35 which may in itself be associated with an increased risk of bladder cancer.36 We attempted to control for this variable by matching cases and controls on duration of follow-up (that is, the time since start of oral antidiabetic therapy), which has been shown to be a good proxy for disease severity,37 and adjusting the models for HbA1c, although this information was missing for 19% of the cases and controls. However, the lack of any association with rosiglitazone (a thiazolidinedione sharing the same indication as pioglitazone) both in crude and adjusted models and our direct comparison of pioglitazone with rosiglitazone in a sensitivity analysis strongly suggests that disease severity did not confound the association between pioglitazone and bladder cancer. The general practice research database does not collect information on tumour grade and stage but has been shown to have comparable case ascertainment rates as UK cancer registries.38 Another limitation of the general practice research database is the lack of information on certain risk factors for bladder cancer. These include exposure to arsenic, occupational exposures, race/ethnicity, and family history of bladder cancer. However, it is unlikely that these variables were differentially distributed between ever users of pioglitazone and ever users of other oral hypoglycaemic agents. Thus we do not believe that the absence of these variables affected the internal validity of the study, although residual confounding may still be present. Finally, the general practice research database contains information on several important confounders, such as body mass index, excessive alcohol use, and smoking. Therefore we were able to adjust for a number of important variables often absent in administrative databases.
Conclusions and policy implications
In summary, the results of this study provide evidence that pioglitazone is associated with an increased risk of bladder cancer, whereas no increased risk was observed with the thiazolidinedione rosiglitazone. The increased risk associated with pioglitazone became apparent after use for at least 24 months and receiving cumulative dosages greater than 28 000 mg. Such associations may have been underestimated in the previous observational studies that included prevalent users. While the magnitudes of the rate ratios were relatively high, the risks associated with pioglitazone are in absolute terms low. Indeed, in this study the highest durations of use and cumulative dosage increased the rate of bladder cancer by 88 and 137 cases per 100 000 person years, respectively. Thus doctors, patients, and regulatory agencies should be aware of this association when assessing the overall risks and benefits of this therapy.
What is already known on this topic
The association between use of the thiazolidinedione antidiabetic agent pioglitazone and bladder cancer is controversial
The few population based studies on this subject produced conflicting results
Additional studies are needed to confirm or refute this association
What this study adds
Overall, the use of pioglitazone, and not the thiazolidinedione rosiglitazone, was associated with an increased risk of bladder cancer
This risk increased with duration of use and cumulative dosage and was highest among those using the drug for more than 24 months and those receiving cumulative dosages greater than 28 000 mg
LA is the recipient of a Chercheur-Boursier award from the Fonds de la recherche en santé du Québec and SS is the recipient of the James McGill Chair.
Contributors: All authors participated in the study design. SS acquired the data. LA and HY did the analyses. LA wrote the manuscript and all authors participated in the interpretation of the results and critical revision of the manuscript. LA is the guarantor.
Funding: This study was supported by grants from the Canadian Institutes of Health Research and the Canadian Foundation for Innovation. The funding sources had no role in the design, analysis, and interpretation of the results, and thus the authors were independent from the funding source.
Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: MNP served as a consultant for Novo Nordisk and Sanofi-Aventis and received research funding from Novo Nordisk; no other financial relationships with any organisations that might have an interest in the submitted work in the previous three years; and no other relationships or activities that could appear to have influenced the submitted work.
Ethical approval: This study was approved by the independent scientific advisory committee of the general practice research database and the research ethics committee of the Jewish General Hospital, Montreal, Canada.
Data sharing: No additional data available.
Cite this as: BMJ 2012;344:e3645
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