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Annals of Oncology Advance Access published online on August 25, 2008

Annals of Oncology, doi:10.1093/annonc/mdn589
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© The Author 2008. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org

Estrogens, oral contraceptives and hormonal replacement therapy increase the incidence of cutaneous melanoma: a population-based case–control study

E. R. Koomen1,*, A. Joosse1, R. M. C. Herings2, M. K. Casparie3, H. J. Guchelaar1 and T. Nijsten4

1 Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden
2 PHARMO, Institute for Drug Outcome Research
3 Foundation PALGA, Utrecht
4 Department of Dermatology, Erasmus Medical Centre Rotterdam, Rotterdam, The Netherlands

* Correspondence to: E. R. Koomen PharmD., Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands. Tel: +31-71-526-2790; Fax: +31-71-526-6980; E-mail: e.r.koomen{at}lumc.nl


    Abstract
 Top
 Abstract
 introduction
 methods
 results
 discussion
 conclusion
 Acknowledgements
 References
 
Background: Multiple studies showed conflicting results on the association between oral contraceptive (OC) use and the development of cutaneous melanoma (CM). We investigated the association between estrogen use and CM incidence.

Patients and methods: Data from PHARMO Pharmacy database and PALGA, the pathology database in The Netherlands, were linked. Women, ≥18 years, with a pathology report of a primary CM from 1 January 1991 to 14 December 2004 and ≥3 years of follow-up before CM diagnosis were eligible cases. Controls were matched for age and geographic region. Multivariate logistic regression was used to calculate adjusted odds ratio (OR) and 95% confidence interval (CI) for the association between CM incidence and estrogen use, OCs and hormonal replacement therapy (HRT), separately.

Results: In total, 778 cases and 4072 controls were included. CM risk was significantly associated with estrogen use (≥0.5 year; adjusted OR = 1.42, 95% CI 1.19–1.69). This effect was cumulative dose dependent (P trend < 0.001). CM risk was also significantly associated with the use of HRT (≥0.5 year: OR = 2.08; 95% CI 1.37–3.14) and OC (≥0.5 year: OR = 1.28; 95% CI 1.06–1.54).

Conclusion: Our study suggests a cumulative dose-dependent increased risk of CM with the use of estrogens.

estrogens, hormonal replacement therapy, incidence, melanoma, oral contraceptives


    introduction
 Top
 Abstract
 introduction
 methods
 results
 discussion
 conclusion
 Acknowledgements
 References
 
The influence of estrogens on the incidence of cutaneous melanoma (CM) in women has been supported by a number of observations. First, indicating the effect of estrogens on melanocyte proliferation, hyperpigmentation is a side-effect of oral contraceptive (OC) use and may also occur during pregnancy (chloasma) or with the use of menopausal replacement (HRT) estrogens [1]. Secondly, until the age of ~45 years, CM incidence rates exceed those in men, after which the incidence rates in men rise markedly, but level off in women. Since the incidence rates of CM in women mimic those of breast cancer, female sex steroids have been hypothesized to be involved in the development of CM in women [2]. Additionally, recent studies have demonstrated improved survival among women compared with men with CM after adjusting for demographic and tumor characteristics [3, 4]. One of the possible explanations may be the influence of estrogens because it has been suggested that estrogens are associated with melanomas with a relative good prognosis such as superficial spreading melanomas [4]. In a previous study, we observed that ever use of estrogens was associated with an increased incidence of CM [5]. Moreover, women with a history of breast cancer have been reported to be at higher risk for CM and vice versa [6]. Also, estrogen-binding receptors have been detected in melanomas and benign nevi [7].

On the basis of these observations, several epidemiological studies have investigated the association between OC use and CM development. These studies show, however, inconsistent results. About 25–30 years ago, a higher CM incidence was suggested among women using OC compared with women who never used OC in three cohort studies [810]. Nevertheless, subsequent (case–control) studies failed to confirm a significant effect of OC on the incidence of CM [1115]. However, a few large studies with long-term follow-up and a relatively high proportion of women having used OC for a long period of time did show a significant two- to four-fold increased likelihood to develop CM [1618]. In a pooled analysis of 10 case–control studies, Karagas et al. [2] observed no excess CM risk associated with OC use for 1 year or longer compared with nonusers. However, these studies are limited in sample size and included selected study populations. Prior estrogen use was assessed by interviews or questionnaires, which may result in a recall bias. Moreover, no differentiation was made between OC and hormonal replacement therapy (HRT).

In this case–control study, we linked a population-based pharmacy database with the national pathology database to assess the association between the incidence of CM and estrogen, OC and HRT use, separately.


    methods
 Top
 Abstract
 introduction
 methods
 results
 discussion
 conclusion
 Acknowledgements
 References
 
setting
Data were used from the PHARMO database, containing drug-dispensing records of a defined population of more than two million Dutch residents representing >12% of the Dutch population. Residents are included regardless of the type of health insurance or other relevant factors [19].

The core file of the PHARMO system is a patient roster file which includes of all patients with an entry and exit date. To this roster file, the drug-dispensing records of all pharmacy and pathology records are linked on a patient-centric level. Since most individuals designate a single pharmacy in The Netherlands, dispensing histories are virtually complete [20]. The computerized drug-dispensing histories contain all dispensed prescriptions and include type, quantity, dosage form, strength, dispensing date and prescribed daily dose of the dispensed drug. PHARMO was linked to PALGA, the Dutch nationwide registry of histo- and cytopathology, using a variation of a reliable probabilistic algorithm [21]. PALGA contains abstracts of all pathology reports with encrypted patient identification and diagnostic terms being in scope with SNOMED classification. Since 1990 the registration reached 100% participation and in 2004 over nine million patients were archived [22]. Therefore, PALGA represents all Dutch patients and is the basis for the Dutch Cancer Registry.

We reported our study according to the STROBE guidelines [23].

study population
Cases had a primary CM diagnosis in PALGA from 1 January 1991 to 14 December 2004 and were also followed by PHARMO at any point in this period. End of follow-up was defined as the date of CM diagnosis (index date).

For each case, all records in PALGA were read by one of two investigators (AJ and ERK). From these records, ERK and AJ extracted and recorded final diagnosis, date, anatomical location and CM subtype according to World Health Organization (WHO) classification [24] of the primary CM. To assess interobserver variation, 300 cases were randomly selected and scored by both researchers.

Potential cases were excluded if, in PHARMO, a date of entry was unknown, gender was unknown, follow-up in the 3 years before CM diagnosis was incomplete or, in PALGA, the date of CM diagnosis was before the age of 18 or before January 1 1991, the CM was not pathologically confirmed, the primary CM was not on the skin (e.g. in the eye) or if the CM was in situ (Figure 1).


Figure 1
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Figure 1. Flow chart study population (all numbers presented represent the number of patients (cases or controls) involved).

 
For every eligible case, an average of five controls was sampled from the population available in PHARMO, matched for date of birth (±2 years) and geographic region (individual matching). Potential cases could not be selected as controls. To calculate follow-up, controls were assigned the index date of the matched case.

Potential controls were excluded if, in PHARMO, a date of entry was unknown, they were younger than 18 years at the index date, follow-up in the 3 years before index date was incomplete or if they were diagnosed in PHARMO with previous CM according to the International Classification of Disease (Figure 1).

drug exposure
Estrogen exposure was expressed in defined daily doses (DDDs) according to the WHO definitions. It was defined as the use of one or more estrogens containing formulations for at least 6 months of cumulative prescription duration in the 3 years before CM because a minimal exposure was assumed to be required for the hypothesized biologic mechanism (Figure 2). All estrogens commercially available and approved in The Netherlands in the study period were included. Estrogen use was differentiated between OC (ATC codes: G03AAXX and G03ABXX) and HRT (ATC code: G03CAXX). For OC, daily use for 21 days and subsequently a 7-day period of nonuse was assumed and therefore we divided the prescribed daily dose by 0.75 (=21 of 28). Some OC formulations are used for 22 days with a 6-day drug-free period. However, this applied to only 6.2% of the prescriptions and the error is <5%. Therefore, we did not correct for this.


Figure 2
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Figure 2. Definition of follow up and estrogen use.

 
For locally applied HRT, i.e. vaginal therapy, only dispenses with a prescribed dose corresponding with a minimal systemic exposure of 0.25 DDD/day orally were included. To further detail estrogen use, the cumulative dispensed dose and the cumulative prescribed duration were calculated (Figure 2).

potential confounders
Ever use of drugs possibly related to progression and development of CM like nonsteroidal anti-inflammatory drugs (NSAIDs including COX-2-inhibitors) and statins was assessed [25]. Use of fibrates and lipid-lowering drugs other than fibrates or statins [25] was recorded, but the number of cases and controls using these drugs were too small (<1.0%) to be used in further analysis.

To estimate health care consumption, which may affect the likelihood of CM diagnosis, the total number of unique prescriptions (i.e., number of different ATC codes excluding estrogens) recorded in PHARMO in the 3 years before CM was included.

statistical analysis
To test for statistical differences, {chi}2 and Student's t-tests were used for categorical and continuous variables, respectively. All statistical tests were carried out two sided with rejection of the null hypothesis at a P value <0.05.

A multivariate logistic regression model was used to calculate adjusted odds ratio (OR) and 95% confidence interval (CI) for the association between CM incidence and estrogen use. In the multivariate model, we included confounders with a P value <0.10 in univariate analysis. The different estrogen variables were categorized based on tertiles among all users. We categorized HRT variables across the median because of the relatively small numbers.

All statistical analyses were carried out using SPSS 14.0 (.2) (SPSS Inc., Chicago, IL).


    results
 Top
 Abstract
 introduction
 methods
 results
 discussion
 conclusion
 Acknowledgements
 References
 
study population
In total, 2053 female subjects who were registered in PHARMO had a SNOMED code ‘CM’ in PALGA, of which 778 (37.9%) met the inclusion criteria (Figure 1). Most of the potential cases were excluded because the time periods they were registered in PALGA and PHARMO did not match or the follow-up in PHARMO in the 3 years before CM diagnosis was incomplete. The accordance in extracting the relevant information from the pathology records between the two authors was high (kappa values >0.85). Of the 9535 controls matched on age (±2 years) and geographical region, 4072 (42.7%) were eligible to enter the study.

Mean age of cases and controls was 53.6 and 54.6 years, respectively (P > 0.05; Table 1). The number of unique prescriptions excluding estrogens was borderline significant with cases having more prescriptions than controls (8.25 versus 7.74, P = 0.047).


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Table 1. Prior estrogen use (hormonal replacement and contraceptives) and characteristics of the study population

 
estrogen use
Estrogens were used for more than half a year in the study period by 25.8% of the cases and 19.7% of the controls (P < 0.001; Table 1). Of estrogens used, 83.4% was ethinylestradiol, 9.1% was estradiol, 4.8% was conjugated estrogen, 2.0% was estriol and 0.6% was mestranol.

Cases and controls did not differ in the average day dose of estrogens. Cases were prescribed an average estrogen day dose of 0.73 DDD/day [standard deviation (SD) 0.19] and controls were prescribed 0.75 DDD/day (SD 0.16).

In univariate analysis, estrogen use (≥0.5 year), ever NSAIDs use, a cumulative prescription duration (1–700 days or >1100 days) or a cumulative dose of estrogens (651–1000 DDD or >1000 DDD) was significantly associated with the incidence of CM (P < 0.05).

After adjusting for confounding factors in a multivariate model, estrogen use (≥0.5 year) remained significantly associated with a higher risk of developing CM (adjusted OR = 1.42, 95% CI 1.19–1.70).

Compared with controls, CM patients were significantly more likely to have used higher cumulative doses. Compared with female nonestrogen users, women who used estrogens >1100 days were ~60% more likely to have developed a CM (adjusted OR = 1.61, 95% CI 1.20–2.16). For the cumulative prescription duration as well as the cumulative dose, a statistically significant trend was detected (P < 0.001).

oral contraceptives
OC was used in the study period for more than half a year by 21.5% of the cases and 17.7% of the controls. Of the OCs used, 99.3% was ethinylestradiol and 0.7% was mestranol. In univariate analysis, OC use (≥0.5 year) was significantly associated with the incidence of CM (P < 0.05; Table 2). After adjusting for confounding factors in a multivariate model, OC use remained significantly associated with development of CM (adjusted OR = 1.28, 95% CI 1.06–1.54). Compared with female nonestrogen users, women who used estrogens longer than 1100 days were more likely to have developed CM (adjusted OR = 1.56, 95% CI 1.16–2.10). Female CM patients were significantly more likely to be included in the highest category of cumulative dose than those without CM (>1000, adjusted OR = 1.44, 95% CI 1.08–1.94, compared with 0 DDD). For the cumulative prescription duration (P-trend analysis <0.01) as well as the cumulative dose (P = 0.010), a statistically significant trend was found.


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Table 2. Prior use of OCs or HRT in the study population

 
hormonal replacement therapy
HRT was used for more than half a year in the study period by 4.2% of the cases and 2.0% of the controls (P = 0.001; Table 2). Of the HRT used, 56.9% was estradiol, 29.9% was conjugated estrogens, 12.5% was estriol and 0.6% was ethinylestradiol. In univariate analysis, HRT use (≥0.5 year) and the highest categories of cumulative prescription duration and dose of HRT were significantly associated with the incidence of CM (P < 0.05; Table 2). After adjusting for confounding factors in a logistic multivariate model, HRT use (≥0.5 year) was still significantly associated with the development of CM (adjusted OR = 2.08, 95% CI 1.37–3.14). In the multivariate model, female CM patients were two-folds more likely to have used HRT for a longer duration and higher cumulative doses than those without CM.

subgroup analysis
Restricting the multivariate analysis to the effect of estrogen use (≥0.5 year) on the incidence of superficial spreading CM showed comparable results (adjusted OR = 1.46; 95% CI 1.18–1.81). If the analysis was restricted to nodular CM, lentigo maligna and others, the risk estimate is slightly lower (adjusted OR = 1.12; 95% CI 0.74–1.69).


    discussion
 Top
 Abstract
 introduction
 methods
 results
 discussion
 conclusion
 Acknowledgements
 References
 
estrogens—in general
Estrogen use, both OC and HRT therapy, was associated with an increased incidence of CM. Although we can only speculate about the causality based on observational studies, the significant dose–effect relationships we detected do support our hypothesis. Previous studies are not in accordance with our findings. This may be due to lower cumulative doses of estrogens being used or limited sample sizes. Early case–control studies [810], which also supported an increased risk of CM with estrogen use, are likely to have included higher doses (doses of estrogens used have declined since the 1970s).

On the basis of an overall CM incidence among women in The Netherlands in 2000 of 16 per 100 000 person-years [26], a female population of 8.02 million [27] of which 20% uses estrogens and an estimated relative risk of 1.42, the crude estimate for the incidence of CM among nonusers of estrogens would be 15 per 100 000 person-years and would increase to 21 per 100 000 person-years with estrogen use.

OCs versus HRT
Although the adjusted OR of the association between OC and HRT and CM are not statistically different, the difference is striking (OC: OR = 1.28, 95% CI 1.06–1.54, HRT: OR = 2.08, 95% CI 1.37–3.14). Theoretically, there are several important differences between OC and HRT. The age distribution differs (i.e. HRT is used in post- and OC in premenopausal women). However, both age at diagnosis as well as a multiplicative interaction term of estrogen use and age were not statistically significant in multivariate analysis. In this study, it is impossible to differentiate between the effects of the HRT and more variable or lower endogenous estrogens on development of CM. Also, HRT consist of estrogen monotherapy, whereas OC usually is a combination of an estrogen with a progestagen. No effects of progestagens on the incidence of CM have been published. However, as Dobos pointed out, very limited data are available on the progestagen effects on the biological behavior of CM [28]. In contrast to OC, which nearly always contains ethinylestradiol, HRT mostly contains estradiol, conjugated estrogens or estriol. The regimen in which OC and HRT differs because HRT can be used intermittently or continuously and OC is normally used once daily for a period of 21 days/month.

Estrogens used as HRT are often applied locally. To effect CM incidence, a systemic exposure is warranted, therefore, we only included HRT dispenses that were likely to result in a minimal systemic exposure of estrogens (≥0.25 DDD/day orally). Obviously, our results also do not apply for estrogens applied locally in relatively low doses (for instance vaginal therapy twice weekly).

strengths and limitations
This is the largest case–control study exploring the effects of estrogen use on CM incidence including >750 female cases. Both cases and controls in our study were sampled from PALGA and PHARMO. These databases are general population based and reflect the Dutch population well [2122]. Moreover, pharmacy data are gathered prospectively avoiding recall bias. Since we had detailed drug-dispensing information, we were able to study dose–effect responses, differentiate between OC and HRT and exclude low-dosed topically applied estrogens. Confounding by indication seems unlikely because risk factors of CM do not affect the prescription of OC. It seems highly unlikely that menopausal complaints (e.g. flushing and vaginal atrophy) or causes of menopause (e.g. hysterectomy) are associated with the incidence of CM, unless estrogens are prescribed for osteoporosis. Because osteoporosis is associated with low endogenous vitamin D levels and low sun exposure, which affect CM incidence in opposite directions [29], the association between HRT use and CM development may be affected. Unfortunately, vitamin D levels and measures of lifestyle factors such as sun exposure were not available in the PHARMO database. To our knowledge, only one study has studied the association between estrogen use and sun exposure and demonstrated that HRT users did not differ in sun exposure compared nonusers, but users were more likely to use sunbeds [30]. For OC, the association with sun (bed) exposure use has not been documented. To minimize the ascertainment bias, the analyses were adjusted for a proxy of health care consumption (i.e. the number of unique ATC codes). We limited the study to the effects of estrogen use in the 3 years before CM diagnosis to not exclude too many patients. For some subgroup analyses, especially for the use of HRT, the sample sizes may be too small. Most cases were excluded because they were registered in PHARMO in a different time period.

Unfortunately, the variation in average day dose of estrogens, expressed in DDD, among users was minimal and therefore any possible associations between average day dose and CM incidence would not have been detectable in our population. Therefore, we did not include average day dose in our analysis.


    conclusion
 Top
 Abstract
 introduction
 methods
 results
 discussion
 conclusion
 Acknowledgements
 References
 
This large observational study suggests a cumulative dose-dependent increased risk of CM with the use of estrogens. In our study, women who used estrogens for more than half a year were ~40% more likely to have developed a CM than women who did not use estrogens or less than half a year (adjusted OR = 1.42, 95% CI 1.19–1.70). A validation of our findings is warranted, preferably in a (prospective randomized) study with detailed prospectively gathered information on both drug use as well as sun (bed) exposure. Moreover, more experimental research is warranted to elucidate the effects of estrogens, progestagens and gender on CM development and progression.


    Acknowledgements
 Top
 Abstract
 introduction
 methods
 results
 discussion
 conclusion
 Acknowledgements
 References
 
We thank Prof. Jan Vandenbroucke for critical discussion of the design of the study and Dr Mark Tinga for data selection in PHARMO.

Received for publication February 18, 2008. Accepted for publication July 25, 2008.


    References
 Top
 Abstract
 introduction
 methods
 results
 discussion
 conclusion
 Acknowledgements
 References
 
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