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Platinum Priority Prostate CancerEditorial by David Margel on pp. 10211022 of this issue
Metformin Use and Prostate Cancer Risk
Mark A. Preston a,*, Anders H. Riis b, Vera Ehrenstein b, Rodney H. Breau c, Julie L. Batista d,e,Aria F. Olumi a, Lorelei A. Mucci d,e, Hans-Olov Adami d,f, Henrik T. Srensen b
aDepartment of Urology, Massachusetts General Hospital, Boston, MA, USA; bDepartment of Clinical Epidemiology, Aarhus University, Aarhus, Denmark;c The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada; dDepartment of Epidemiology, Harvard School of Public Health,
Boston, MA, USA; eChanning Division of Network Medicine, Department of Medicine, Brigham and Womens Hospital and Harvard Medical School, Boston,
MA, USA; fDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
E U RO P E AN URO LOG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 0
avai lable at www.sciencedirect .com
Article info
Article history:
Accepted April 29, 2014
Keywords:
Chemoprevention
Danish registry
Epidemiology
Incidence
Metformin
Prostate cancer
The EU-ACME credits will
Abstract
Background: Metformin may decrease prostate cancer (PCa) risk by reducinghyperinsulinemia-associated carcinogenesis or through direct effects on cancer cells.Objective: To evaluate the association between metformin use and PCa diagnosis.Design, setting, and participants: We used the Danish Cancer Registry and the AarhusUniversity Prescription Database to conduct a nested casecontrol study among menresiding in northern Denmark from 1989 to 2011. We identied 12 226 cases of PCa andused risk-set sampling to select 10 population controls per case (n = 122 260) fromamongmen alive on the index date and born in the same year. A sensitivity analysis wasconducted using subjects who had prostate-specic antigen (PSA) testing prior to 1 yrbefore the index date.Intervention: Metformin exposure was assessed using prescriptions redeemed beforethe index date.Outcome measurements and statistical analysis: Odds ratios (ORs) and 95% condence
0.510.86). Diabetics on nomedication (aOR: 1.03; 95% CI, 0.861.24), diabetics on other# 2014 European Asthen be attributed
automatically.
oral hypoglycemics (aOR: 0.92; 95% CI, 0.701.20), and insulin users (aOR: 0.83; 95% CI,0.561.24) did not have a statistically signicant reduced risk of cancer.Conclusions: Metformin use was associated with decreased risk of PCa diagnosis,whereas diabetics using other oral hypoglycemics had no decreased risk.Patient summary: We studied the relationship between metformin (a diabetic medica-tion) and prostate cancer in Denmark. We found that metformin reduced the risk ofprostate cancer diagnosis, whereas other oral antidiabetic medications did not.
sociation of Urology. Published by Elsevier B.V. All rights reserved.Please visit
www.eu-acme.org/
europeanurology to read and
answer questions on-line.
intervals (CIs) were calculated using logistic regression. The association betweenmetfor-min use and PCa diagnosis was determined, controlling for diabetes severity and otherpotential confounders.Results and limitations: Metformin users were at decreased risk of PCa diagnosiscompared with never-users (adjusted OR [aOR]: 0.84; 95% CI, 0.740.96). Diabeticson no medication (aOR: 0.98; 95% CI, 0.891.09) or on other oral hypoglycemics (aOR:0.98; 95% CI, 0.861.10) did not have a reduced risk of PCa, while users of insulin didhave a reduced risk (aOR: 0.77; 95% CI, 0.640.93). In the PSA-tested group, metforminuse was associatedwith decreased risk of PCa comparedwith nonuse (aOR: 0.66; 95% CI,journal homepage: www.europeanurology.com* Corresponding author. Department of Urology, Massachusetts General Hospital, 55 Fruit Street,Boston, MA 02114, USA. Tel. +1 617 726 3012; Fax: +1 617 726 6131.E-mail address: [email protected] (M.A. Preston).
http://dx.doi.org/10.1016/j.eururo.2014.04.0270302-2838/# 2014 European Association of Urology. Published by Elsevier B.V. All rights reserved.
E U RO P E AN URO L OG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 0 10131. Introduction
Prostate cancer (PCa) is the second leading cause of cancer
mortality in men and the most commonly diagnosed
noncutaneous malignancy [1,2]. Because of the high inci-
dence, substantial personal distress [35], and societal costs
[6] associated with the diagnosis and treatment of PCa,
prevention would have a powerful impact.
Hyperinsulinemia, associated with type 2 diabetes, may
play a role in carcinogenesis and be negatively associated
with cancer prognosis [7,8]. Increased levels of insulin in
obese men may lead to worse PCa prognosis [7,9,10]. This
theory is supported by laboratory evidence showing that
hyperinsulinemia upregulates insulin receptors in PCa cells
and increases tumor growth [11]. However, diabetes has
also been associated with decreased diagnosis of PCa,
potentially mediated by lower levels of testosterone in
these patients [12,13].
Metformin, a biguanide, is the most widely prescribed
antidiabetic drug in the world because of its clinical effec-
tiveness and tolerability [14]. Its primary mechanism is to
activate 50 AMP-activated protein kinase in the liver, inhibitgluconeogenesis, and reduce circulating insulin levels [15].
Metforminmayreduce insulin-stimulatedcancergrowth [16]
through this mechanism, in addition to possessing other
antineoplastic properties such as reduction of the c-Myc
oncogene [17]. However, no randomized trial has evaluated
the effect of metformin on PCa risk, while observational
studies have yielded conflicting results [1824].
We performed a large population-based study of metfor-
minuseandPCa.Wehypothesized thatmetforminusewould
be associated with decreased risk of PCa diagnosis.
2. Material and methods
2.1. Source population and study design
We conducted a nested casecontrol study within a well-dened cohort
of Danish males identied between January 1989 and December 2011.
Individuals eligible for case and control sampling resided in the
former counties of North Jutland (19892011), Aarhus (19962011),
Ringkoebing (19982011), and Viborg (19982011). In 2007, the Danish
regions replaced counties as the main administrative units. Because the
four counties started contributing data to the Arhus University
Prescription Database (AUPD) at different times, they differ with respect
to the earliest availability of prescription data (the earliest being 1989)
[25]. The Central andNorth Denmark Regions encompass the four former
counties, and the periods of required residence correspond to the period
of availability of data on prescription medication use. Together, the two
regions represent approximately one-third of the Danish population
(approximately 1.8 million inhabitants). Health-related services are
recorded using the unique civil personal registration (CPR) number
assigned to all Danish citizens since 1968 by the Danish Civil Registration
System (CRS). The CPR number encodes gender and date of birth [26] and
permits accurate individual-level linkage among all Danish registries.
The Danish National Health Service provides tax-supported universal
health care to all residents of the country and refunds part of patients
expenditures formostphysician-prescribeddrugs, includingdrugsused to
treatdiabetes [25]. TheDanish regions are servedbypharmacies equipped
with computerized accounting systems, through which data on prescrip-tions for refundabledrugs are sent to theAUPD [25]. Thedatabase includesinformation on each patients CPR number, the type of drug prescribed
(coded according to the Anatomical Therapeutic Chemical classication
system), the amount of drug dispensed, and the date of sale [25,27].
2.2. Cases
Cases weremenwith an incident diagnosis of PCa and no previous cancer
diagnosis (except nonmelanoma skin cancer) who were identied using
theDanishCancerRegistry (seeAppendixA for International Classication
of Diseases codes), which has recorded all incident cancers diagnosed in
Denmark through December 31, 2011 [28]. To be included in the study,
menhad tobe residents of the Central orNorthDanishRegions,with2 yrof prescription history before their index date (date of PCa diagnosis).
2.3. Population controls
Controls were identied using the CRS [26,29]. For each man in the case
series, 10 controlswere randomly selected from amongmale residents of
the two regionswho had the same birth year, were alive, andwere free of
PCa diagnosis on the index date. Men who resided in the study area for
same birth year and with similar duration of diabetes. Under the risk-set
sampling of controls used in this study, the ORs are unbiased estimates of
the underlying incidence rate ratios [32]. Unconditional logistic regression
was used with multivariable adjustment, including age for the PSA and
HbA1c subanalyses.We used SAS 9.2 (SAS Institute Inc., Cary, NC, USA) for
the analyses. The Danish Data Protection Agency approved the study
(2004414693).
3. Results
We identified 12 226 cases of PCa and 122 660 individually
matched controls. The median age was 71.7 yr (range:
3599) for cases and controls (range 34100). The preva-
lence of diabetes, comorbidities, marital status, statin use,
PPI use, 5-ARI use, and diabetic complications was similar
for cases and controls (Table 1).
3.1. Metformin use
A total of 264 cases (2.2%) and 3111 controls (2.5%) used
metformin for 1 yr before the index date (Table 1). Themedian duration of metformin use was 3.2 yr (interquartile
range [IQR]: 1.55.7). An additional 90 cases used insulin in
addition to metformin, for a total of 354 cases (2.9%) with
any use of metformin during the study period. Metformin
use was associated with a decreased risk of PCa compared
Table 1 Characteristics of case and control subjects (n = 134 486)
Characteristic Prostatecancer cases,n = 12 226
Controls,n = 122 260
EU RO P E AN URO LOG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 01014Age, yr, median (range) 71.7 (34.999.2) 71.7 (34.299.9)
Diabetes, no. (%) 1213 (10) 13 516 (11)
Metformin use only 264 (2) 3111 (2)
Metformin and insulin use 90 (0.7) 1254 (1)
Any metformin use 354 (3) 4365 (4)
Insulin use 118 (1) 1564 (1)
Other antidiabetic
medication use
294 (2) 3048 (2)
No antidiabetic
medication use
447 (4) 4539 (4)
Stage, no. (%)
Localized 5202 (43)
Regional 498 (4)
Metastatic 2199 (18)
Unknown 4327 (35)
Prostate biopsy >1 yr prior to index date, no. (%)
No 11 882 (97) 12 0101 (98)
Yes 344 (3) 2159 (2)
Charlson Comorbidity Index score, no. (%)
0 8547 (70) 81 653 (66.8)
12 3257 (27) 35 087 (28.7)
3 422 (3) 5520 (4)Diabetic complications,
no. (%)
1275 (10) 14 987 (12)
Marital status, no. (%)
Married 8879 (73) 85 057 (70)
Never married 733 (6) 9602 (8)
Divorced or widowed 2614 (21) 27 601 (23)
Statin ever used, no. (%) 2276 (19) 22 952 (19)
PPI ever used, no. (%) 2472 (20) 23 407 (19)
5-ARI ever used, no. (%) 562 (5) 4733 (4)5-ARI = 5a-reductase inhibitor; PPI = proton pump inhibitor.with never-use in crude analysis (odds ratio [OR]: 0.84; 95%
CI, 0.740.95), with little change after adjustment for
potential confounders (adjusted OR [aOR]: 0.84; 95% CI,
0.740.96). A reduced risk of PCa was associated with
insulin use (aOR: 0.77; 95% CI, 0.640.93), but not with
use of other antidiabetic medications (aOR: 0.98; 95% CI,
0.861.10) or with diabetes managed without antidiabetic
medication use (aOR: 0.98; 95% CI, 0.891.09) (Table 2).
3.1.1. Duration of metformin use
Increasing duration of metformin use was associated with
decreasing incidence of PCa. Metformin use of
sta
= pr
nd u
E U RO P E AN URO L OG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 0 1015Table 2 The association between metformin use and incident pro
Cases,n = 12 226,no. (%)
No diabetes 11 013 (90)
Diabetes treatment*
Metformin use only 264 (2)
Metformin and insulin use 90 (1)
Insulin use 118 (1)
Other antidiabetic medication use 294 (2)
No antidiabetic medication use 447 (4)
Metformin ever use^ 354 (3)
Metformin use^
Recent (12 yr ago) 241 (2)
Former (>2 yr ago) 23 (0.2)
Metformin duration of use^
tescon
E U RO P E AN URO LOG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 01016Table 3 Characteristics of subjects with prostate-specific antigenbetween metformin use and incidence of prostate cancer, using unage
Cases,n = 2511
Prior PSA tests, no., mean (SD) 2.9 (3.0)
PSA, ng/ml, median (IQR) 11.0 (6.527.9)
No diabetes 10.6 (6.426.1)
Metformin use only 11.8 (7.429.8)
Metformin and insulin use 11.0 (7.535.1)
Insulin use 18.0 (5.551.7)
Other antidiabetic medication use 18.0 (7.841.8)
No antidiabetic medication use 13.1 (6.935.4)
No diabetes, no. (%) 2200 (88)
Diabetes treatment,* no. (%)
Metformin use 62 (2)
Metformin and insulin use 28 (1)
Insulin use 27 (1)
Other antidiabetic medication use 59 (2)
No antidiabetic medication use 135 (5)
Metformin use,^ no. (%)
Recent (12 yr ago) 56 (2)have lower levels of PSA and therefore are less likely to be
diagnosedwith PCa. In the diabetic-only analysis, insulin no
longer resulted in a significant reduction in incidence (aOR:
0.96; 95% CI, 0.751.22). This finding may be due to more
pronounced confounding by indication with insulin, since
the effect dissipated after accounting for increased diabetic
severity in the matched analysis.
While our findings support some studies, other studies
have reported either no effect or even an increased risk of
PCa following metformin use [1823]. A recent Canadian
population-based study found no association between
metformin use and risk of PCa (aOR: 1.03; 95% CI,
0.961.32) among men >66 yr with diabetes, regardless
of cancer grade [22]. Themedian duration ofmetformin use,
however, was only 18.6 mo (IQR: 637). The predominant
effect of metformin might be in mitigating cancer progres-
sion rather than in prevention, as supported by a study that
found that an increasing cumulative dose of metformin
after diagnosis was associated with a decrease in PCa
specific mortality among diabetic men [23].
Former (2 yr ago) 6 (0.2)Metformin duration of use,^ no. (%)
Table 5 The association between metformin use and incident prostate cancer stratified by localized and advanced stage using conditionallogistic regression (n = 134 486)
Localized prostate cancer Advanced prostate cancer
Cases/controls,no. (%)
Adjusted OR(95% CI)
Cases/controls,no. (%)
Adjusted OR(95% CI)
No diabetes 4709 (91)/46 392 (89) ref 2449 (91)/24 204 (90) ref
Diabetes treatment*
Metformin use only 101 (2)/1406 (3) 0.70 (0.570.87) 59 (2)/539 (2) 1.13 (0.851.49)
Metformin and insulin use 37 (1)/579 (1) 0.63 (0.450.88) 15 (0.6)/194 (0.7) 0.81 (0.481.38)
Insulin use 37 (1)/673 (1) 0.56 (0.400.78) 28 (1)/325 (1) 0.89 (0.601.32)
Other antidiabetic medication use 116 (2)/1146 (2) 1.02 (0.841.24) 67 (2)/757 (3) 0.91 (0.701.17)
No antidiabetic medication use 202 (4)/1824 (4) 1.09 (0.941.27) 79 (3)/951 (4) 0.85 (0.671.08)
Metformin ever use^ 138 (3)/1985 (4) 0.68 (0.570.82) 74 (3)/733 (3) 1.04 (0.811.34)
Metformin use^
Recent (12 yr ago) 94 (2)/1307 (3) 0.70 (0.570.87) 54 (2)/505 (2) 1.10 (0.821.47)
Former (2 yr ago) 7 (0.1)/99 (0.2) 0.72 (0.331.55) 5 (0.2)/34 (0.1) 1.55 (0.613.97)Metformin duration of use^
Table 6 Association between metformin use and incident prostate cancer among only diabetics using matched conditional logisticregression (n = 13 331)
Cases,n = 1213,no. (%)
Controls,n = 12 118,no. (%)
Adjusted OR 95% CI
Diabetic treatment*
No antidiabetic medication use 447 (37) 4181 (35) ref
Metformin use 264 (22) 2894 (24) 0.83 0.700.99
Metformin and insulin use 90 (7) 914 (8) 0.92 0.701.19
Insulin use 118 (10)
= pr
nd u
se
E U RO P E AN URO LOG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 01018Other antidiabetic medication use 294 (24)
Metformin use^
Recent (12 yr ago) 241 (20)
Former (2 yr ago) 23 (2)Metformin duration of use^
r t
Cla
34;
E U RO P E AN URO L OG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 0 1019Appendix A Anatomical Therapeutic Chemical codes fo
drugs, codes for the cancer diagnoses, and International
potentially confounding diseases
Disease ICD 8 code
Prostate cancer
Diabetes 249; 250
Diabetes complications 377.00; 792.99; 410; 431; 433; 4
440.28; 440.29; 440.99
Charlson Comorbidity Index diseasesReferences
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Myocardial infarction 410
Congestive heart failure 427.09; 427.10; 427.11; 427.19; 428
Peripheral vascular disease 440; 441; 442; 443; 444; 445
Cerebrovascular disease 430438
Dementia 290.09290.19; 293.09
Chronic pulmonary disease 490493; 515518
Connective tissue disease 712; 716; 734; 446; 135.99
Ulcer disease 530.91; 530.98; 531534
Mild liver disease 571; 573.01; 573.04
Diabetes 249.00; 249.06; 249.07; 249.09 250.0
250.07; 250.09
Hemiplegia 344
Moderate to severe renal disease 403; 404; 580583; 584; 590.09; 59
753.10753.19; 792
Diabetes with end organ damage 249.01249.05; 249.08 250.01250.0
Any tumor 140194
Leukemia 204207
Lymphoma 200203; 275.59
Moderate to severe liver disease 070.00; 070.02; 070.04; 070.06; 070.
573.00; 456.00456.09
Metastatic solid tumor 195198; 199
AIDS 079.83
Procedure Procedure codes
Prostate biopsy KKEB, KTKE00
Drug ATC code
Diabetes overall A10A; A10B
Insulin
Fast acting A10AA01; A10AB01; A10AB04; A10AB05
Intermediate acting A10AA02; A10AC01
Intermediate, rapid onset A10AA03; A10AD01; A10AD04; A10AD05
Other analogues, long acting A10AE; A10AE04; A10AE05
Metformin A10BA02; A10BD02; A10BD03; A10BD05
Other Rest of the A10A and A10B codes
Statins C10AA
Proton pump inhibitors A02BC
ATC = Anatomical Therapeutic Chemical; ICD = International Classication of Disehe primary exposure drugs and potentially confounding
ssification of Diseases hospital diagnosis codes for
ICD 10 code
C61
E10E14; H360; O24 except O244
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I21; I22; I23
.99; 782.49 I50; I11.0; I13.0; I13.2
I70; I71; I72; I73; I74; I77
I60I69; G45; G46
F00F03; F05.1; G30
J40J47; J60J67; J68.4; J70.1; J70.3; J84.1; J92.0; J96.1;
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M05; M06; M08; M09; M30; M31; M32; M33; M34;
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K22.1; K25K28
B18; K70.0K70.3; K70.9; K71; K73; K74; K76.0
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G81; G82
3.19; I12; I13; N00N05; N07; N11; N14; N17N19; Q61
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C00C75
C91C95
C81C85; C88; C90; C96
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Metformin Use and Prostate Cancer RiskIntroductionMaterial and methodsSource population and study designCasesPopulation controlsExposureCovariatesStatistical analysis
ResultsMetformin useDuration of metformin useIntensity and cumulative dose of metformin use
Sensitivity analysesProstate-specific antigen testingSeverity of diabetesStage
DiscussionConclusionsReferences- Anatomical Therapeutic Chemical codes for the primary exposure drugs and potentially confounding drugs, codes for the cancer diagnoses, and International Classification of Diseases hospital diagnosis codes for potentially confounding diseases