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ORIGINAL REPORTS
November 04, 2013

Use of Statins and the Risk of Death in Patients With Prostate Cancer

Publication: Journal of Clinical Oncology
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Abstract

Purpose

To determine whether the use of statins after prostate cancer diagnosis is associated with a decreased risk of cancer-related mortality and all-cause mortality and to assess whether this association is modified by prediagnostic use of statins.

Patients and Methods

A cohort of 11,772 men newly diagnosed with nonmetastatic prostate cancer between April 1, 1998, and December 31, 2009, followed until October 1, 2012, was identified using a large population-based electronic database from the United Kingdom. Time-dependent Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs) with 95% CIs of mortality outcomes associated with postdiagnostic use of statins, lagged by 1 year to account for latency considerations and to minimize reverse causality, and considering effect modification by prediagnostic use of statins.

Results

During a mean follow-up time of 4.4 years (standard deviation, 2.9 years), 3,499 deaths occurred, including 1,791 from prostate cancer. Postdiagnostic use of statins was associated with a decreased risk of prostate cancer mortality (HR, 0.76; 95% CI, 0.66 to 0.88) and all-cause mortality (HR, 0.86; 95% CI, 0.78 to 0.95). These decreased risks of prostate cancer mortality and all-cause mortality were more pronounced in patients who also used statins before diagnosis (HR, 0.55; 95% CI, 0.41 to 0.74; and HR, 0.66; 95% CI, 0.53 to 0.81, respectively), with weaker effects in patients who initiated the treatment only after diagnosis (HR, 0.82; 95% CI, 0.71 to 0.96; and HR, 0.91; 95% CI, 0.82 to 1.01, respectively).

Conclusion

Overall, the use of statins after diagnosis was associated with a decreased risk in prostate cancer mortality. However, this effect was stronger in patients who also used statins before diagnosis.

Introduction

There has been great interest in the antitumor effects of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors, better known as statins. Statins have been shown to improve lipid profiles and reduce cardiovascular morbidity and mortality.1 There is now evidence that statins may have antitumor effects in a number of cancers, including prostate cancer.2
To date, a number of observational studies have investigated the association between the use of statins and different prostate cancer outcomes, but with inconsistent findings.211 Such discrepancies are likely a result of methodologic limitations, which included relatively small sample sizes, immortal time bias,3,5,10 and no consideration of latency time windows between the first use of statins and prostate cancer outcomes.510 Furthermore, none of these studies specifically assessed whether the use of statins before the prostate cancer diagnosis modified the association on the use of statins after diagnosis, because there is some evidence that prediagnostic use of statins may be associated with more favorable tumor characteristics.1214
Thus, the primary objective of this study was to determine whether the use of statins after prostate cancer diagnosis is associated with a decreased risk of prostate cancer mortality. Secondary objectives were to determine whether such use is also associated with a decreased risk of all-cause mortality and to assess whether prediagnostic use of statins modifies the association of these mortality outcomes.

Patients and Methods

Data Sources

This study was conducted by linking the following four large electronic databases from the United Kingdom: the United Kingdom National Cancer Registry, the Clinical Practice Research Datalink (CPRD; previously known as the General Practice Research Database), the Hospital Episode Statistics (HES) database, and the Office for National Statistics (ONS) database. The United Kingdom National Cancer Registry contains tumor information, including site of primary growth (coded using the International Classification of Diseases, 10th Revision [ICD-10]) and tumor characteristics (such as grade, stage, and primary treatments received, although not consistently recorded). The CPRD contains data on more than 12 million individuals enrolled in more than 650 general practices.15 The HES database contains dates of hospital admissions, primary and secondary diagnoses (coded using the ICD-10 classification), and related procedures (coded using the ICD-10 classification and Office of Population Censuses and Surveys Classification of Interventions and Procedures, Fourth Version). Finally, the ONS contains the electronic death certificates of all citizens living in the United Kingdom and was used to identify the underlying cause of death (coded using the ICD-10 classification) for all patients who died during follow-up. The study protocol was approved by the Independent Scientific Advisory Committee of the CPRD and the Research Ethics Board of the Jewish General Hospital, Montreal, Quebec, Canada.

Study Population

We conducted a population-based retrospective cohort study within the databases described earlier. As a first step, we used the United Kingdom National Cancer Registry to identify all patients newly diagnosed with prostate cancer (ICD-10 code: C61) between April 1, 1998, and December 31, 2009, followed until October 1, 2012. These patients were then linked to the CPRD, HES, and ONS databases. We excluded patients diagnosed with metastatic disease and those with less than 1 year of up-to-standard medical history in the CPRD before the prostate cancer diagnosis. Furthermore, all patients were required to have at least 1 year of follow-up, which was necessary for latency considerations. Thus, cohort entry was set to the year after the prostate cancer diagnosis, and all patients were observed until death (either from prostate cancer or from other causes), end of registration with the general practice, or end of study period (October 1, 2012), whichever came first.

Statin Exposure Assessment

We considered all statins on the United Kingdom market during the study period. These consisted of statins classified as hydrophilic (pravastatin and rosuvastatin) and lipophilic (atorvastatin, simvastatin, fluvastatin, and cerivastatin).
Use of statins after the prostate cancer diagnosis (ie, postdiagnostic use) was entered as a time-dependent variable in the models, allowing patients to move from a period of nonexposure to a period of exposure. Thus, patients were considered unexposed to statins up until the time of a first prescription and exposed thereafter for the remainder of follow-up. Furthermore, statin exposure was lagged by 1 year to take into account a biologically meaningful latency time window given that short duration exposures are unlikely to be associated with the mortality outcomes.
On the basis of the previous considerations, postdiagnostic statin exposure was expressed in the following three ways: ever use, cumulative duration of use, and cumulative dose. For the first approach, ever use of statins after the prostate cancer diagnosis was compared with never use up until the time of the event. For the second and third approaches, it was of interest to determine whether there was a dose-response relationship between statin use and cancer-related and all-cause mortality. Cumulative duration of use was defined, in a time-dependent fashion, as the total number of months of statin exposure, calculated by summing the durations of all prescriptions between cohort entry and the time of the event. This variable was then classified into the following four categories: less than 12 months, 12 to 24 months, 24 to 36 months, and ≥ 36 months of use. Similarly, for cumulative duration of use, patients identified as ever exposed to statins had their exposure expressed in units of defined daily dose (DDD), which is a validated measure from the WHO.16 The DDD for the 30-mg formulation of simvastatin was used as the reference, and the DDDs for the other statins were used to convert each statin to 30-mg simvastatin-equivalent doses. Cumulative dose was then calculated by summing all DDDs up until the date of the event. This variable was classified into the following four categories: less than 365, 365 to 731, 731 to 1096, and ≥ 1,096 DDDs.

Statistical Analysis

Descriptive statistics were used to describe the characteristics of the entire cohort and, separately, of patients exposed and unexposed to statins before prostate cancer diagnosis. Time-dependent Cox proportional hazards models were used to estimate hazards ratios (HRs) with 95% CIs of prostate cancer mortality and all-cause mortality associated with the ever use, cumulative duration of use, and cumulative dose of statins. For cumulative duration and dose, linear trend was assessed by entering the aforementioned categories of these variables as continuous in the models. All models were adjusted for a number of potential confounders measured before cohort entry including prediagnostic statin use (listed in Table 1), as well as prostate-specific antigen (PSA) testing activity (ie, number of tests performed), which was included as a time-dependent covariate in the models. Staging information was not included as a covariate because it was missing for approximately 90% of patients. Schoenfeld residuals were examined for the time-fixed covariates, and no significant departure from the proportional hazards assumption was detected.
Table 1. Baseline Demographic and Clinical Characteristics of the Cohort and Stratified by Prediagnostic Use of Statins
Characteristic Entire Cohort (N = 11,772) Prediagnostic Statin Users (n = 3,407) No Prediagnostic Statin Use (n = 8,365)
No. of Patients % No. of Patients % No. of Patients %
Age, years            
    Mean 71.3 71.9 71.1
    Standard deviation 8.8 7.5 9.3
Race            
    White 10,375 88.1 3,044 89.4 7,331 87.6
    Black 134 1.1 43 1.3 91 1.1
    Other 133 1.1 52 1.5 81 1.0
    Unknown 1,130 9.6 268 7.9 862 10.3
Excessive alcohol use 872 7.4 339 10.0 533 6.4
Smoking status            
    Never 4,708 40.0 1,105 32.4 3,603 43.1
    Ever 6,456 54.8 2,248 66.0 4,208 50.3
    Unknown 608 5.2 54 1.6 554 6.6
Body mass index, kg/m2            
    < 18.5 103 0.9 21 0.6 82 1.0
    18.5-25 3,672 31.2 899 26.4 2,773 33.2
    25-30 5,202 44.2 1,623 47.6 3,579 42.8
    ≥ 30 1,996 17.0 768 22.5 1,228 14.7
    Unknown 799 6.8 96 2.8 703 8.4
Comorbidities            
    Chronic kidney disease 793 6.8 448 13.2 345 4.1
    Myocardial infarction 991 8.4 753 22.1 238 2.9
    Ischemic stroke 485 4.1 305 9.0 180 2.2
    Transient ischemic attack 587 5.0 312 9.2 275 3.3
    Peripheral artery disease 1,900 16.1 999 29.3 901 10.8
    Previous cancer 1,862 15.8 557 16.4 1,305 15.6
Prostate-specific antigen, ng/mL            
    < 4 408 3.5 232 6.8 443 5.3
    4-10 2,902 24.7 975 28.6 2,074 24.8
    >10 5,110 43.4 1,454 42.7 3,345 40.0
    Unknown 3,352 28.5 746 21.9 2,503 29.9
Gleason score            
    2 52 0.4 9 0.3 43 0.5
    3-6 2,867 24.4 843 24.7 2,006 24.0
    7 2,248 19.1 709 20.8 1,527 18.3
    ≥ 8 1,384 11.8 472 13.9 906 10.8
    Unknown 5,221 44.4 1,374 40.3 3,883 46.4
Prostate cancer treatments*            
    Radical prostatectomy 5,148 43.7 1,378 40.5 3,770 45.1
    Radiotherapy 2,425 20.6 785 23.0 1,640 19.6
    Chemotherapy 293 2.5 101 3.0 192 2.3
    Androgen deprivation therapy 6,823 58.0 1,997 58.6 4,826 57.7
Metformin 605 5.1 435 12.8 170 2.0
Sulfonylureas 514 4.4 328 9.6 186 2.2
Thiazolidinediones 112 1.0 99 2.9 13 0.2
Other hypoglycemic agents 63 0.5 43 1.3 20 0.3
Insulin 164 1.4 121 3.6 43 0.5
ACE inhibitors 3,290 28.0 1,819 53.4 1,471 17.6
Angiotensin receptor blockers 937 8.0 556 16.3 381 4.6
Calcium channel blocker 3,310 28.1 1,684 49.4 1,626 19.4
β-blockers 3,187 27.1 1,727 50.7 1,460 17.5
Diuretics 4,138 35.2 1,754 51.5 2,384 28.5
Other antihypertensives 113 1.0 57 1.7 56 0.7
Aspirin 4,145 35.2 2,372 69.6 1,773 21.2
Other NSAIDs 5,848 49.7 1,832 53.8 4,016 48.0
5α-reductase 799 6.8 287 8.4 512 6.1
Prediagnostic use of statins 3,407 28.9 3,407 100.0 0 0.0
Abbreviations: ACE, angiotensin-converting enzyme; NSAIDs, nonsteroidal anti-inflammatory drugs.
*
Treatments received in the first year after the prostate cancer diagnosis.

Secondary and Sensitivity Analyses

In an exploratory analysis, we determined whether statin lipophilicity influenced the risk of prostate cancer outcomes, because lipophilic statins have been shown to be more potent in reducing prostate cancer cell migration and spread of metastatic prostate colonies.17 For this analysis, users of statins were further classified into one of the following three mutually exclusive categories: use of lipophilic statins only, use of both lipophilic and hydrophilic statins, and use of hydrophilic statins only. We then performed two secondary analyses. In the first, we determined whether prediagnostic use of statins acted as an effect modifier of the association between post-treatment statin use and prostate cancer and all-cause mortality. Effect modification was assessed by including interaction terms between prediagnostic and postdiagnostic statin use in the models. In the second analysis, we determined whether postdiagnostic use of statins was associated with a decreased risk of distant metastasis. Finally, for the prostate cancer mortality analysis, we conducted a sensitivity analysis to account for competing risks as a result of death from other causes using the subdistribution hazards model proposed by Fine and Gray18 adapted for time-dependent covariates.19 All analyses were two-tailed tests based on α = .05 and were performed using SAS version 9.3 (SAS Institute, Cary, NC).

Results

A total of 11,772 patients newly diagnosed with nonmetastatic prostate cancer met the study inclusion criteria (Fig 1). The mean age at cohort entry was 71.3 years (standard deviation, 8.8 years), with a mean follow-up time of 4.4 years (standard deviation, 2.9 years). The corresponding incidence rates of prostate cancer mortality and all-cause mortality were 34.8 per 1,000 per year (95% CI, 33.2 to 36.4 per 1,000 per year) and 67.9 per 1,000 per year (95% CI, 65.7 to 70.2 per 1,000 per year), respectively.
Fig 1. Study flow chart.
Table 1 lists the characteristics of the entire cohort, as well as of the statin and nonstatin users, at baseline. As expected, statin users were more likely to have been smokers and obese (body mass index ≥ 30 kg/m2), had a higher prevalence of comorbidities, and were more likely to have used antidiabetic agents, antihypertensive drugs, and aspirin (Table 1).
Table 2 lists the results of the primary analysis. Use of statins after prostate cancer diagnosis was associated with a 24% risk reduction in prostate cancer mortality (Table 2). A dose-response relationship was observed in terms of cumulative duration of use and dose, with the HRs becoming progressively more protective with longer durations of use and higher cumulative doses (≥ 36 months of use: HR, 0.61; 95% CI, 0.49 to 0.75; and ≥ 1,096 DDDs: HR, 0.57; 95% CI, 0.46 to 0.72). In an exploratory analysis, a 23% decreased risk was observed with lipophilic statins, and a 35% decreased risk was observed with hydrophilic statins (Appendix Table A1, online only).
Table 2. Crude and Adjusted HRs for the Association Between Postdiagnostic Use of Statins and the Risk of Prostate Cancer Mortality
Statin Exposure No. of Patients (n = 1,791) No. of Person-Years Incidence Rate (per 100 person-years) 95% CI (per 100 person-years) Crude HR Adjusted HR* 95% CI
No use of statins after diagnosis 1,250 32,283 3.87 3.66 to 4.09 1.00 1.00 Reference
Use of statins after diagnosis 541 19,261 2.81 2.58 to 3.05 0.75 0.76 0.66 to 0.88
Cumulative duration of use, months              
    < 12 90 2,401 3.75 3.03 to 4.59 0.97 0.99 0.79 to 1.24
    12-24 177 5,553 3.19 2.74 to 3.68 0.81 0.82 0.68 to 0.99
    24-36 104 4,032 2.58 2.12 to 3.11 0.67 0.66 0.52 to 0.83
    ≥ 36 170 7,275 2.34 2.01 to 2.71 0.66 0.61 0.49 to 0.75
    P           < .001
Cumulative dose, DDDs              
    < 365 154 4,454 3.46 2.94 to 4.04 0.89 0.84 0.70 to 1.02
    365-731 164 5,381 3.05 2.61 to 3.54 0.79 0.80 0.66 to 0.97
    731-1,096 104 3,643 2.86 2.34 to 3.45 0.76 0.76 0.60 to 0.95
    ≥ 1,096 119 5,783 2.06 1.71 to 2.45 0.57 0.57 0.46 to 0.72
    P           < .001
Abbreviations: DDD, defined daily dose; HR, hazard ratio.
*
Adjusted for age, year of prostate cancer diagnosis, ethnicity, excessive alcohol use, smoking status, obesity, chronic kidney disease, myocardial infarction, ischemic stroke, transient ischemic attack, peripheral artery disease, previous cancers, prostate-specific antigen level, Gleason score, metformin, sulfonylureas, thiazolidinediones, insulins, other oral antihypoglycemic agents, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, calcium channel blockers, β-blockers, diuretics, other antihypertensive drugs, aspirin, other nonsteroidal anti-inflammatory drugs, 5α-reductase inhibitors, prediagnostic statin use, prostate-specific antigen testing activity, prostatectomy, radiation therapy, chemotherapy, and androgen deprivation therapy.
Based on an equivalent dose of 30 mg of simvastatin.
Table 3 lists the results of the secondary outcome. Use of statins after diagnosis was associated with a 14% decreased risk of all-cause mortality (Table 3), with the HRs gradually decreasing with longer cumulative durations of use and higher cumulative doses (Table 3).
Table 3. Crude and Adjusted HRs for the Association Between Postdiagnostic Use of Statins and the Risk of All-Cause Mortality
Statin Exposure No. of Patients (n = 3,499) No. of Person-Years Incidence Rate (per 100 person-years) 95% CI (per 100 person-years) Crude HR Adjusted HR* 95% CI
No use of statins after diagnosis 2,270 32,283 7.03 6.75 to 7.33 1.00 1.00 Reference
Use of statins after diagnosis 1,229 19,261 6.38 6.03 to 6.75 0.90 0.86 0.78 to 0.95
Cumulative duration of use, months              
    < 12 195 2,401 8.12 7.04 to 9.32 1.15 0.93 0.81 to 1.08
    12-24 334 5,553 6.02 5.40 to 6.69 0.85 0.88 0.76 to 1.03
    24-36 253 4,032 6.28 5.54 to 7.09 0.90 0.88 0.75 to 1.03
    ≥ 36 447 7,275 6.14 5.59 to 6.73 0.86 0.82 0.69 to 0.97
    P           < .001
Cumulative dose, DDDs              
    < 365 323 4,454 7.25 6.49 to 8.08 1.03 0.95 0.83 to 1.10
    365-731 351 5,381 6.52 5.87 to 7.23 0.92 0.87 0.74 to 1.01
    731-1,096 233 3,643 6.40 5.61 to 7.26 0.90 0.85 0.73 to 1.00
    ≥ 1,096 322 5,783 5.57 4.98 to 6.20 0.77 0.85 0.72 to 1.00
    P           < .001
Abbreviations: DDD, defined daily dose; HR, hazard ratio.
*
Adjusted for age, year of prostate cancer diagnosis, ethnicity, excessive alcohol use, smoking status, obesity, chronic kidney disease, myocardial infarction, ischemic stroke, transient ischemic attack, peripheral artery disease, previous cancers, prostate-specific antigen level, Gleason score, metformin, sulfonylureas, thiazolidinediones, insulins, other oral antihypoglycemic agents, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, calcium channel blockers, β-blockers, diuretics, other antihypertensive drugs, aspirin, other nonsteroidal anti-inflammatory drugs, 5α-reductase inhibitors, prediagnostic statin use, prostate-specific antigen testing activity, prostatectomy, radiation therapy, chemotherapy, and androgen deprivation therapy.
Based on an equivalent dose of 30 mg of simvastatin.
Table 4 lists the results of the secondary analyses. The use of statins before prostate cancer diagnosis significantly modified the association between postdiagnostic use of statins and prostate cancer mortality (Table 4), with greater risk reductions in patients who also used statins before diagnosis (HR, 0.55; 95% CI, 0.41 to 0.74). Dose-response relationships in terms of cumulative duration of use and dose were observed but were more pronounced in patients who also used statins before diagnosis (Appendix Table A2, online only). With respect to the secondary outcome of all-cause mortality, similar patterns were observed, with the strongest risk reductions in patients who also used statins before diagnosis, whereas the HR approached statistical significance for patients who did not use statins before diagnosis (Table 4). A dose-response relationship was observed for all-cause mortality in patients who also used statins before diagnosis (Appendix Table A3, online only). After accounting for competing risks as a result of other causes of death, the decreased risk observed between postdiagnostic use of statins and prostate cancer mortality remained statistically significant (HR, 0.87; 95% CI, 0.75 to 0.99; P = .047). Finally, postdiagnostic use of statins was also associated with a decreased risk of distant metastasis (HR, 0.77; 95% CI, 0.68 to 0.88; Appendix Table A4, online only).
Table 4. Effect Modification by Prediagnostic Use of Statins on the Association Between Postdiagnostic Use of Statins and Prostate Cancer Mortality and All-Cause Mortality
Outcome Statin Use Before Diagnosis No Statin Use Before Diagnosis P for Interaction
Adjusted HR* 95% CI Adjusted HR* 95% CI
Prostate cancer mortality 0.55 0.41 to 0.74 0.82 0.71 to 0.96 .02
All-cause mortality 0.66 0.53 to 0.81 0.91 0.82 to 1.01 .01
Abbreviation: HR, hazard ratio.
*
Adjusted for age, year of prostate cancer diagnosis, ethnicity, excessive alcohol use, smoking status, obesity, chronic kidney disease, myocardial infarction, ischemic stroke, transient ischemic attack, peripheral artery disease, previous cancers, prostate-specific antigen level, Gleason score, metformin, sulfonylureas, thiazolidinediones, insulins, other oral antihypoglycemic agents, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, calcium channel blockers, β-blockers, diuretics, other antihypertensive drugs, aspirin, other nonsteroidal anti-inflammatory drugs, 5α-reductase inhibitors, prostate-specific antigen testing activity, prostatectomy, radiation therapy, chemotherapy, and androgen deprivation therapy.

Discussion

The results of this large population-based study of patients newly diagnosed with nonmetastatic prostate cancer indicate that the postdiagnostic use of statins is associated with a 24% decrease in prostate cancer mortality, with dose-response relationships in terms of cumulative duration of use and cumulative dose. The use of statins after prostate cancer diagnosis was also associated with a decreased risk of all-cause mortality and distant metastasis. Finally, the strongest risk reductions with postdiagnostic use of statins were observed in patients who also used these drugs before diagnosis, with more modest risk reductions in patients who initiated these drugs after diagnosis.
Overall, the postdiagnostic use of statins was associated with a decreased risk in prostate cancer mortality. In a secondary analysis, however, the use of statins both before and after diagnosis was associated with a stronger risk reduction than initiation of those drugs after diagnosis. There are a number of possible explanations for the observed effect modification by prediagnostic use of statins. One possibility may be that compared with nonusers, prediagnostic statin users have more favorable tumor characteristics,1214 which would result in improved prostate cancer outcomes. However, this was not observed in our cohort, because prediagnostic statin users were slightly more likely to have higher Gleason scores (ie, ≥ 8) compared with nonusers. Another possibility could be that prediagnostic statin users are also those who have used these drugs for the longest durations, which is concordant with our observation that longer durations of use and higher cumulative doses are associated with the strongest risk reductions. Finally, patients initiating statins before prostate cancer diagnosis may be different from patients initiating after diagnosis. Specifically, it is possible that the latter group required statins as a consequence of certain treatments, such as androgen deprivation therapy,20,21 which is known to increase lipid levels. Androgen deprivation therapy is typically prescribed to patients with advanced prostate cancer, which despite statistical adjustments, would make statins seem to have more modest effects. Nonetheless, our findings suggest that the use of statins before and/or after prostate cancer diagnosis may reduce the risk of prostate cancer mortality.
The antitumor effects by statin use in prostate carcinogenesis have been demonstrated in a number of experimental studies. These studies have shown that statins can potentially decrease the risk of prostate cancer development and progression via a variety of mechanisms through its action on lipid metabolism. Statins decrease cholesterol levels and may have antitumor effects on prostate cancer via their effects on cell proliferation, inflammation, membrane organogenesis, and steroidogenesis.22 The decreased risk of prostate cancer mortality associated with the use of statins observed in our study supports the experimental evidence suggesting a potential antitumor effect of these drugs on prostate carcinogenesis.
To date, a number of observational studies have examined the association between statins and prostate cancer outcomes, with mixed findings.211 Disease recurrence was the primary outcome in the majority of these studies,8,9 with two studies reporting null associations8,9 and the remaining studies reporting risk reductions ranging between 30% and 43%.57 With respect to mortality outcomes, one study reported that statins were associated with 41% (HR, 0.59; 95% CI, 0.37 to 0.94) and 65% (HR, 0.35; 95% CI, 0.21 to 0.58) decreased risks on all-cause mortality in patients who underwent radiotherapy and radical prostatectomy, respectively.10 However, the method of assessing statin exposure in that study introduced immortal time bias,23 which may have exaggerated the potential benefits of this therapy. With respect to prostate cancer mortality, one study reported that statins were associated with a 65% risk reduction in lethal and fatal prostate cancer,4 whereas another study observed no statistically significant reduction in prostate cancer mortality and all-cause mortality,5 although the latter study was likely underpowered to investigate these outcomes. Although most of these studies assessed statin use at the time of the prostate cancer diagnosis, none specifically quantified the association with prostate cancer outcomes with use after diagnosis. This postdiagnostic use most resembles the expected benefits of these drugs in the adjuvant setting and thus could provide critical information for the design of randomized controlled trials assessing the effects of statins in patients newly diagnosed with prostate cancer.
This population-based study has a number of strengths and some limitations. To our knowledge, this is the largest study to have investigated the association between the use of statins and prostate cancer outcomes. Furthermore, with up to 15 years of follow-up, we were able to identify a significant number of patients, and thus, the study was well powered to investigate the two outcomes of interest. This study also considered latency, which was a methodologic shortcoming of the previous studies.511 Exposure misclassifications from the uncertainty of whether patients complied with the treatment regimen and the lack of information on prescriptions written by specialists are possible. However, these exposure misclassifications would dilute the HRs toward the null and thus underestimate the reduced risks observed in this study. Misclassifications with our primary outcome of prostate cancer mortality are also likely to have been minimal because, unlike other cancer types, prostate cancer mortality has been shown to be generally well recorded in death certificates (κ = 0.91).24 Moreover, the overall prostate cancer mortality rate of 34.8 per 1,000 per year estimated in our study is concordant with the prostate cancer mortality rate previously reported in the United Kingdom.25 Finally, linking the United Kingdom National Cancer Registry, CPRD, HES, and ONS databases allowed us to collect and adjust for a number of potential important confounders, including ethnicity, smoking, body mass index, prostate cancer treatments, and PSA levels. Unfortunately, it was not possible to adjust for tumor stage, because this information was missing for nearly 90% of patients in the United Kingdom National Cancer Registry and there were missing data on Gleason scores and PSA levels. Although these are important predictors of our outcomes, it is unclear whether they are confounders because they may not be associated with statin exposure. Furthermore, our analyses adjusted for prostate cancer therapies received, which are closely correlated to tumor characteristics.
Another important consideration is the possible healthy-user bias previously described with statins users.26 However, it is unclear whether better lifestyle habits would fully explain the 24% risk reduction in prostate cancer mortality and the dose-response relationships observed. Furthermore, statin users seemed to be less healthy than nonstatin users (ie, more likely to have been smokers and have a higher prevalence of comorbidities), which is a characteristic more likely to be associated with worse outcomes. Furthermore, the models were adjusted for prostate cancer treatments and PSA testing activity to minimize the potential bias of compliant statin users being more likely to seek aggressive treatments. Overall, adjustment for these variables did not materially affect the point estimates, although residual confounding may be present.
In summary, the results of this study indicate that the use of statins after a prostate cancer diagnosis is associated with a decreased risk of cancer-related mortality and all-cause mortality. These decreased risks were strongest in patients who also used statins before prostate cancer diagnosis, suggesting a possible effect of longer cumulative durations of use and higher cumulative doses. Finally, although the results of this study provide evidence that the use of statins may be associated with a decreased risk of prostate cancer mortality, additional well-conducted observational studies are needed to confirm these findings before launching randomized controlled trials assessing the effects of statins in the adjuvant setting.

Glossary Terms

Gleason score:
A pathologic description of prostate cancer grade based on the degree of abnormality in the glandular architecture. Gleason patterns 3, 4, and 5 denote low, intermediate, and high levels of histologic abnormality and tumor aggressiveness, respectively. The score assigns primary and secondary numbers based on the most common and second most common patterns identified.
PSA (prostate-specific antigen):
A protein produced by cells of the prostate gland, the blood level of PSA is used as a tumor marker for men who may be suspected of having prostate cancer. Most physicians consider 0 to 4.0 ng/mL as the normal range. Levels of 4 to 10 and 10 to 20 ng/mL are considered slightly and moderately elevated, respectively. PSA levels have to be complemented with other tests to make a firm diagnosis of prostate cancer.
Processed as a Rapid Communication manuscript. See accompanying editorial on page 1
Terms in blue are defined in the glossary, found at the end of this article and online at www.jco.org.

Authors' Disclosures of Potential Conflicts of Interest

Although all authors completed the disclosure declaration, the following author(s) and/or an author's immediate family member(s) indicated a financial or other interest that is relevant to the subject matter under consideration in this article. Certain relationships marked with a “U” are those for which no compensation was received; those relationships marked with a “C” were compensated. For a detailed description of the disclosure categories, or for more information about ASCO's conflict of interest policy, please refer to the Author Disclosure Declaration and the Disclosures of Potential Conflicts of Interest section in Information for Contributors.
Employment or Leadership Position: None Consultant or Advisory Role: Samy Suissa, AstraZeneca (C), Boehringer Ingelheim (C), Novartis (C), Pfizer (C), Merck (C) Stock Ownership: None Honoraria: None Research Funding: None Expert Testimony: None Patents: None Other Remuneration: None

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Appendix

Table A1. Statin Lipophilicity and the Risk of Prostate Cancer Mortality
Statin Use Patients (n = 1,791) No. of Person-Years Incidence Rate (per 100 person-years) 95% CI (per 100 person-years) Crude HR Adjusted HR* 95% CI
No. %
No use of statins after diagnosis 1,250 69.8 32,283 3.87 3.66 to 4.09 1.00 1.00 Reference
Type of statin used after diagnosis                
    Use of lipophilic statins only 493 27.5 17,107 2.88 2.64 to 3.15 0.77 0.77 0.67 to 0.89
    Use of hydrophilic statins only 26 1.5 1,052 2.47 1.65 to 3.57 0.64 0.65 0.43 to 0.98
    Use of both lipophilic and hydrophilic statins 22 1.2 1,102 2.00 1.28 to 2.97 0.56 0.67 0.43 to 1.04
Abbreviation: HR, hazard ratio.
*
Adjusted for age, year of diagnosis, ethnicity, excessive alcohol use, smoking status, obesity, chronic kidney disease, myocardial infarction, ischemic stroke, transient ischemic attack, peripheral artery disease, previous cancers, prostate-specific antigen level, Gleason grade, metformin, sulfonylureas, thiazolidinediones, insulins, other oral antihypoglycemic agents, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, calcium channel blockers, β-blockers, diuretics, other antihypertensive drugs, aspirin, other nonsteroidal anti-inflammatory drugs, 5α-reductase inhibitors, prediagnostic statin use, prostate-specific antigen testing activity, prostatectomy, radiation therapy, chemotherapy, and androgen deprivation therapy.
Table A2. Effect Modification by Prediagnostic Use of Statins on the Dose-Response Association Between Postdiagnostic Use of Statins and Prostate Cancer Mortality
Exposure to Statins Statin Use Before Diagnosis No Statin Use Before Diagnosis P for Interaction
Adjusted HR* 95% CI Adjusted HR* 95% CI
Cumulative duration of use, months          
    < 12 0.81 0.55 to 1.22 0.95 0.71 to 1.28 .11
    12-24 0.61 0.44 to 0.85 0.90 0.70 to 1.15  
    24-36 0.52 0.36 to 0.75 0.64 0.45 to 0.90  
    ≥ 36 0.42 0.30 to 0.59 0.73 0.56 to 0.94  
Cumulative dose, DDDs          
    < 365 0.67 0.47 to 0.94 0.82 0.64 to 1.06 .14
    365-731 0.56 0.40 to 0.78 0.93 0.73 to 1.18  
    731-1,096 0.55 0.38 to 0.79 0.84 0.61 to 1.15  
    ≥ 1,096 0.43 0.30 to 0.62 0.62 0.45 to 0.85  
Abbreviations: DDD, defined daily dose; HR, hazard ratio.
*
Adjusted for age, year of diagnosis, ethnicity, excessive alcohol use, smoking status, obesity, chronic kidney disease, myocardial infarction, ischemic stroke, transient ischemic attack, peripheral artery disease, previous cancers, prostate-specific antigen level, Gleason score, metformin, sulfonylureas, thiazolidinediones, insulins, other oral antihypoglycemic agents, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, calcium channel blockers, β-blockers, diuretics, other antihypertensive drugs, aspirin, other nonsteroidal anti-inflammatory drugs, 5α-reductase inhibitors, prostate-specific antigen testing activity, prostatectomy, radiation therapy, chemotherapy, and androgen deprivation therapy.
Based on an equivalent dose of 30 mg of simvastatin.
Table A3. Effect Modification by Prediagnostic Use of Statins on the Dose-Response Association Between Postdiagnostic Use of Statins and All-Cause Mortality
Exposure to Statins Statin Use Before Diagnosis No Statin Use Before Diagnosis P for Interaction
Adjusted HR* 95% CI Adjusted HR* 95% CI
Cumulative duration of use, months          
    < 12 0.98 0.74 to 1.31 1.02 0.84 to 1.25 .02
    12-24 0.66 0.52 to 0.84 0.85 0.71 to 1.02  
    24-36 0.65 0.50 to 0.84 0.90 0.72 to 1.11  
    ≥ 36 0.56 0.44 to 0.71 0.87 0.74 to 1.03  
Cumulative dose, DDDs          
    < 365 0.78 0.61 to 1.00 0.90 0.75 to 1.06 .02
    365-731 0.67 0.53 to 0.86 0.93 0.78 to 1.11  
    731-1,096 0.66 0.51 to 0.85 0.87 0.70 to 1.09  
    ≥ 1,096 0.54 0.42 to 0.69 0.88 0.73 to 1.07  
Abbreviations: DDD, defined daily dose; HR, hazard ratio.
*
Adjusted for age, year of diagnosis, ethnicity, excessive alcohol use, smoking status, obesity, chronic kidney disease, myocardial infarction, ischemic stroke, transient ischemic attack, peripheral artery disease, previous cancers, prostate-specific antigen level, Gleason score, metformin, sulfonylureas, thiazolidinediones, insulins, other oral antihypoglycemic agents, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, calcium channel blockers, β-blockers, diuretics, other antihypertensive drugs, aspirin, other nonsteroidal anti-inflammatory drugs, 5α-reductase inhibitors, prostate-specific antigen testing activity, prostatectomy, radiation therapy, chemotherapy, and androgen deprivation therapy.
Based on an equivalent dose of 30 mg of simvastatin.
Table A4. Crude and Adjusted HRs for the Association Between Postdiagnostic Use of Statins and the Risk of Distant Metastasis
Statin Use No. of Patients (n = 2,158) No. of Person-Years Incidence Rate (per 100 person-years) 95% CI (per 100 person-years) Crude HR Adjusted HR* 95% CI
No use of statins after diagnosis 1,646 41,582 3.95 3.77 to 4.15 1.00 1.00 Reference
Use of statins after diagnosis 512 18,035 2.84 2.60 to 3.09 0.85 0.77 0.68 to 0.88
Abbreviation: HR, hazard ratio.
*
Adjusted for age, year of diagnosis, ethnicity, excessive alcohol use, smoking status, obesity, chronic kidney disease, myocardial infarction, ischemic stroke, transient ischemic attack, peripheral artery disease, previous cancers, prostate-specific antigen level, Gleason score, metformin, sulfonylureas, thiazolidinediones, insulins, other oral antihypoglycemic agents, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, calcium channel blockers, β-blockers, diuretics, other antihypertensive drugs, aspirin, other nonsteroidal anti-inflammatory drugs, 5α-reductase inhibitors, prostate-specific antigen testing activity, prostatectomy, radiation therapy, chemotherapy, and androgen deprivation therapy.

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Journal of Clinical Oncology
Pages: 5 - 11
PubMed: 24190110

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Published online: November 04, 2013
Published in print: January 01, 2014

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Oriana Yu
Oriana Yu, Maria Eberg, Samy Suissa, and Laurent Azoulay, Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital; Oriana Yu, Jewish General Hospital; Oriana Yu, Armen Aprikian, Gerald Batist, Samy Suissa, and Laurent Azoulay, McGill University; Serge Benayoun, University of Montreal; Armen Aprikian, McGill University Health Centre, McGill University; Gerald Batist and Laurent Azoulay, Segal Cancer Centre, Jewish General Hospital, Montreal, Quebec, Canada.
Maria Eberg
Oriana Yu, Maria Eberg, Samy Suissa, and Laurent Azoulay, Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital; Oriana Yu, Jewish General Hospital; Oriana Yu, Armen Aprikian, Gerald Batist, Samy Suissa, and Laurent Azoulay, McGill University; Serge Benayoun, University of Montreal; Armen Aprikian, McGill University Health Centre, McGill University; Gerald Batist and Laurent Azoulay, Segal Cancer Centre, Jewish General Hospital, Montreal, Quebec, Canada.
Serge Benayoun
Oriana Yu, Maria Eberg, Samy Suissa, and Laurent Azoulay, Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital; Oriana Yu, Jewish General Hospital; Oriana Yu, Armen Aprikian, Gerald Batist, Samy Suissa, and Laurent Azoulay, McGill University; Serge Benayoun, University of Montreal; Armen Aprikian, McGill University Health Centre, McGill University; Gerald Batist and Laurent Azoulay, Segal Cancer Centre, Jewish General Hospital, Montreal, Quebec, Canada.
Armen Aprikian
Oriana Yu, Maria Eberg, Samy Suissa, and Laurent Azoulay, Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital; Oriana Yu, Jewish General Hospital; Oriana Yu, Armen Aprikian, Gerald Batist, Samy Suissa, and Laurent Azoulay, McGill University; Serge Benayoun, University of Montreal; Armen Aprikian, McGill University Health Centre, McGill University; Gerald Batist and Laurent Azoulay, Segal Cancer Centre, Jewish General Hospital, Montreal, Quebec, Canada.
Gerald Batist
Oriana Yu, Maria Eberg, Samy Suissa, and Laurent Azoulay, Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital; Oriana Yu, Jewish General Hospital; Oriana Yu, Armen Aprikian, Gerald Batist, Samy Suissa, and Laurent Azoulay, McGill University; Serge Benayoun, University of Montreal; Armen Aprikian, McGill University Health Centre, McGill University; Gerald Batist and Laurent Azoulay, Segal Cancer Centre, Jewish General Hospital, Montreal, Quebec, Canada.
Samy Suissa
Oriana Yu, Maria Eberg, Samy Suissa, and Laurent Azoulay, Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital; Oriana Yu, Jewish General Hospital; Oriana Yu, Armen Aprikian, Gerald Batist, Samy Suissa, and Laurent Azoulay, McGill University; Serge Benayoun, University of Montreal; Armen Aprikian, McGill University Health Centre, McGill University; Gerald Batist and Laurent Azoulay, Segal Cancer Centre, Jewish General Hospital, Montreal, Quebec, Canada.
Laurent Azoulay [email protected]
Oriana Yu, Maria Eberg, Samy Suissa, and Laurent Azoulay, Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital; Oriana Yu, Jewish General Hospital; Oriana Yu, Armen Aprikian, Gerald Batist, Samy Suissa, and Laurent Azoulay, McGill University; Serge Benayoun, University of Montreal; Armen Aprikian, McGill University Health Centre, McGill University; Gerald Batist and Laurent Azoulay, Segal Cancer Centre, Jewish General Hospital, Montreal, Quebec, Canada.

Notes

Corresponding author: Laurent Azoulay, PhD, Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, 3755 Côte Sainte-Catherine, H-425.1, Montreal, Quebec, Canada, H3T 1E2; e-mail: [email protected].

Author Contributions

Conception and design: Oriana Yu, Serge Benayoun, Gerald Batist, Samy Suissa, Laurent Azoulay
Financial support: Laurent Azoulay
Collection and assembly of data: Maria Eberg, Samy Suissa, Laurent Azoulay
Data analysis and interpretation: Oriana Yu, Maria Eberg, Serge Benayoun, Armen Aprikian, Samy Suissa, Laurent Azoulay
Manuscript writing: All authors
Final approval of manuscript: All authors

Disclosures

Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.

Funding Information

Supported by the Canadian Institutes of Health Research. L.A. is the recipient of a Chercheur-Boursier career award from the Fonds de la Recherche en Santé du Québec, and S.S. is the recipient of the James McGill Chair.

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Oriana Yu, Maria Eberg, Serge Benayoun, Armen Aprikian, Gerald Batist, Samy Suissa, Laurent Azoulay
Journal of Clinical Oncology 2014 32:1, 5-11

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