Literature DB >> 29813157

Association of Hydrochlorothiazide Use and Risk of Malignant Melanoma.

Anton Pottegård1, Sidsel Arnspang Pedersen1,2,3, Sigrun Alba Johannesdottir Schmidt4, Lisbet Rosenkrantz Hölmich5, Søren Friis4,6,7, David Gaist2,3.   

Abstract

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Year:  2018        PMID: 29813157      PMCID: PMC6143099          DOI: 10.1001/jamainternmed.2018.1652

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


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We have recently shown that hydrochlorothiazide use increases the risk of lip and nonmelanoma skin cancer, notably squamous cell carcinoma.[1,2] It would have substantial implications if the carcinogenic effect of hydrochlorothiazide also extended to malignant melanoma.

Methods

Similarly to our recent studies of hydrochlorothiazide,[1,2] we identified histologically verified melanoma cases (January 2004 to December 2015), each matched 1:10 (risk-set sampling; age, sex, and date) to cancer-free population controls. We required cases and controls to be between ages 18 and 90 years, without previous history of cancer (except nonmelanoma skin cancer), organ transplantation, HIV infection, or azathioprine use, and to have resided continuously in Denmark for 10 years. Using conditional logistic regression, we calculated odds ratios (ORs), with 95% CIs, for melanoma associated with cumulative hydrochlorothiazide use compared with never-use, adjusting for potential confounders (Table 1 and 2). We performed stratified analyses by localization, stage, histologic subtype, and subgroups of age, sex, and history of nonmelanoma skin cancer. To evaluate potential confounding by indication, we performed analyses for other antihypertensive drugs, including bendroflumethiazide, angiotensin-converting enzyme inhibitors, angiontensin-II receptor antagonists, and calcium-channel blockers. This study was approved by Statistics Denmark and the Danish Data Protection Agency.
Table 1.

Association of Exposure to Hydrochlorothiazide and Risk of Malignant Melanoma

Use and DoseCases, No. (n = 19 273)Controls, No. (n = 192 730)Adjusted OR (95% CI)
Model 1aModel 2b
Hydrochlorothiazide
Never used17 315175 4861 [Reference]1 [Reference]
Ever used195817 2441.16 (1.11-1.22)1.17 (1.11-1.23)
High use (≥50 000 mg)41334061.24 (1.12-1.38)1.22 (1.09-1.36)
Cumulative dose
1-24 999 mg116010 4831.14 (1.07-1.21)1.14 (1.07-1.22)
25 000-49 999 mg38533551.18 (1.06-1.32)1.18 (1.05-1.32)
50 000-99 999 mg21918521.22 (1.06-1.41)1.21 (1.05-1.40)
≥100 000 mg19415541.26 (1.08-1.46)1.21 (1.04-1.42)
Test for trend195817 244P = .24P = .42

Adjusted for age, sex, and calendar time (by use of risk-set matching and conditional analysis).

Fully adjusted model additionally adjusted for history of nonmelanoma skin cancer, other comorbidity (diabetes, chronic obstructive pulmonary disease, alcohol abuse–associated disorders, chronic renal failure), Charlson Comorbidity Index score (0, low; 1-2, medium; or ≥3, high), use of certain drugs (topical retinoids, oral retinoids, tetracycline, macrolides, aminoquinolines, amiodarone, methoxypsoralen, low-dose aspirin, nonaspirin nonsteroidal anti-inflammatory drugs, statins, or oral steroids), and highest achieved education (short, medium, long, or unknown).

Table 2.

Association of Exposure to Hydrochlorothiazide and Risk of Malignant Melanoma According to Amount of Hydrochlorothiazide Use and Specified by Melanoma Subtype

MelanomaCases. No.Controls, No.Adjusted OR (95% CI)
Model 1aModel 2b
Superficial Spreading Melanoma
Never used12 494126 2161 [Reference]1 [Reference]
Ever used128711 5941.13 (1.06-1.20)1.13 (1.06-1.20)
High use (≥50 000 mg)25422681.14 (0.99-1.30)1.11 (0.97-1.27)
Cumulative dose
1-24 999 mg78370231.14 (1.05-1.23)1.13 (1.05-1.23)
25 000-49 999 mg25023031.11 (0.97-1.27)1.10 (0.96-1.27)
50 000-99 999 mg14012521.15 (0.96-1.38)1.14 (0.95-1.37)
≥100 000 mg11410161.12 (0.91-1.36)1.06 (0.87-1.30)
Test for trend128711 594P = .94P = .73
Nodular Melanoma
Never used146515 1081 [Reference]1 [Reference]
Ever used23018421.31 (1.12-1.53)1.28 (1.09-1.49)
High use (≥50 000 mg)683512.13 (1.61-2.80)2.05 (1.54-2.72)
Cumulative dose
1-24 999 mg11911421.08 (0.88-1.32)1.05 (0.86-1.29)
25 000-49 999 mg433491.24 (0.90-1.72)1.17 (0.84-1.64)
50 000-99 999 mg341951.90 (1.30-2.78)1.81 (1.23-2.67)
≥100 000 mg341562.34 (1.59-3.45)2.26 (1.52-3.36)
Test for trend2301842P = .01P = .01
Lentigo Melanoma
Never used38641981 [Reference]1 [Reference]
Ever used1148021.57 (1.25-1.97)1.58 (1.25-2.00)
High use (≥50 000 mg)281771.72 (1.13-2.62)1.61 (1.03-2.50)
Cumulative dose
1-24 999 mg584761.32 (0.98-1.78)1.35 (0.99-1.83)
25 000-49 999 mg281492.22 (1.44-3.43)2.30 (1.46-3.60)
50 000-99 999 mg11991.25 (0.66-2.38)1.09 (0.56-2.11)
≥100 000 mg17782.26 (1.30-3.91)2.24 (1.25-3.99)
Test for trend114802P = .11P = .16

Adjusted for age, sex, and calendar time (by use of risk-set matching and conditional analysis).

Fully adjusted model additionally adjusted for history of nonmelanoma skin cancer, other comorbidity (diabetes, chronic obstructive pulmonary disease, alcohol abuse associated disorders, chronic renal failure), Charlson Comorbidity Index score (0, low; 1-2, medium; or ≥3, high), use of certain drugs (topical retinoids, oral retinoids, tetracycline, macrolides, aminoquinolines, amiodarone, methoxypsoralen, low-dose aspirin, nonaspirin nonsteroidal anti-inflammatory drugs, statins, or oral steroids), and highest achieved education (short, medium, long, or unknown).

Adjusted for age, sex, and calendar time (by use of risk-set matching and conditional analysis). Fully adjusted model additionally adjusted for history of nonmelanoma skin cancer, other comorbidity (diabetes, chronic obstructive pulmonary disease, alcohol abuse–associated disorders, chronic renal failure), Charlson Comorbidity Index score (0, low; 1-2, medium; or ≥3, high), use of certain drugs (topical retinoids, oral retinoids, tetracycline, macrolides, aminoquinolines, amiodarone, methoxypsoralen, low-dose aspirin, nonaspirin nonsteroidal anti-inflammatory drugs, statins, or oral steroids), and highest achieved education (short, medium, long, or unknown). Adjusted for age, sex, and calendar time (by use of risk-set matching and conditional analysis). Fully adjusted model additionally adjusted for history of nonmelanoma skin cancer, other comorbidity (diabetes, chronic obstructive pulmonary disease, alcohol abuse associated disorders, chronic renal failure), Charlson Comorbidity Index score (0, low; 1-2, medium; or ≥3, high), use of certain drugs (topical retinoids, oral retinoids, tetracycline, macrolides, aminoquinolines, amiodarone, methoxypsoralen, low-dose aspirin, nonaspirin nonsteroidal anti-inflammatory drugs, statins, or oral steroids), and highest achieved education (short, medium, long, or unknown).

Results

We identified 22 010 cases of melanoma. After exclusions, the final study population comprised 19 273 cases and 192 730 population controls. Cases had slightly lower comorbidity, higher educational level, and higher prevalence of previous nonmelanoma skin cancer than controls. Remaining characteristics were similar between cases and controls. Overall, 413 cases (2.1%) and 3406 controls (1.8%) were classified as high-users (≥50 000 mg) of hydrochlorothiazide, yielding an adjusted OR of 1.22 (95% CI, 1.09-1.36) for melanoma. No clear dose-response pattern emerged between hydrochlorothiazide use and melanoma risk (Table 1). Analyses by melanoma localization, stage, age, sex, and history of nonmelanoma skin cancer yielded results comparable to the main analysis (data not shown). When stratifying by histological subtype (Table 2), higher ORs occurred for nodular melanoma (n = 1695 cases [8.8%]; OR, 2.05; 95% CI, 1.54-2.72; P for trend = .01) and lentigo melanoma (n = 500 cases [2.6%]; OR, 1.61; 95% CI, 1.03-2.50; P for trend = .16) than for superficial spreading melanoma (n = 13 781 cases [72%]; OR, 1.11; 95% CI, 0.97-1.27; P for trend = .73). In secondary analyses, we observed associations close to the null for overall melanoma risk with long-term use of bendroflumethiazide (OR, 1.10; 95% CI, 1.02-1.19; P for trend = 0.47), angiotensin-converting enzyme inhibitors (OR, 1.07; 95% CI, 0.99-1.16; P for trend = .53), angiotensin-II receptor antagonists (OR, 1.18; 95% CI, 1.07-1.29; P for trend = .07), and calcium-channel blockers (OR, 1.06; 95% CI, 0.97-1.14; P for trend  = .94). These associations remained neutral in subanalyses stratified by melanoma subtype (data not shown).

Discussion

The main strength of our study is the use of high-quality nationwide registry data.[3] The main limitations are a lack of information on risk factors such as sun exposure, skin pigmentation, and family history of melanoma. However, these characteristics are unlikely to be substantially associated with hydrochlorothiazide use, and thus unlikely to confound out estimates. Thiazide use and melanoma risk has been investigated in a few previous studies; however, only 2 studies,[4,5] both from northern Denmark, have specifically examined hydrochlorothiazide. The first study reported an OR of 1.32 (95% CI, 1.03-1.70) for melanoma risk overall associated with 10 000 mg increments of hydrochlorothiazide.[4] The corresponding OR for hydrochlorothiazide in combination with amiloride was 1.43 (95% CI, 1.09-1.88).[4] The other study found no association between hydrochlorothiazide use combined with amiloride and melanoma risk (OR, 1.02; 95% CI, 0.78-1.33).[5] Neither of these studies included dose-response or histology-specific analyses. The findings for melanoma subtype are somewhat surprising, as lentigo and superficial spreading melanoma are known to be associated with high sun exposure, whereas the etiology of nodular melanomas is less elucidated.[6] It is worrying that hydrochlorothiazide use appears to be associated with an increased risk of melanoma, and the particular associations observed for lentigo melanoma and nodular melanoma warrant further research.
  6 in total

1.  Use of antihypertensive drugs and risk of skin cancer.

Authors:  S A J Schmidt; M Schmidt; F Mehnert; S Lemeshow; H T Sørensen
Journal:  J Eur Acad Dermatol Venereol       Date:  2015-01-15       Impact factor: 6.166

2.  Anatomic site, sun exposure, and risk of cutaneous melanoma.

Authors:  David C Whiteman; Mark Stickley; Peter Watt; Maria Celia Hughes; Marcia B Davis; Adèle C Green
Journal:  J Clin Oncol       Date:  2006-07-01       Impact factor: 44.544

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Authors:  A Pottegård; J Hallas; M Olesen; M T Svendsen; L A Habel; G D Friedman; S Friis
Journal:  J Intern Med       Date:  2017-06-06       Impact factor: 8.989

Review 4.  The Danish Civil Registration System as a tool in epidemiology.

Authors:  Morten Schmidt; Lars Pedersen; Henrik Toft Sørensen
Journal:  Eur J Epidemiol       Date:  2014-06-26       Impact factor: 8.082

5.  Hydrochlorothiazide use and risk of nonmelanoma skin cancer: A nationwide case-control study from Denmark.

Authors:  Sidsel Arnspang Pedersen; David Gaist; Sigrun Alba Johannesdottir Schmidt; Lisbet Rosenkrantz Hölmich; Søren Friis; Anton Pottegård
Journal:  J Am Acad Dermatol       Date:  2017-12-04       Impact factor: 11.527

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3.  Do Thiazide Diuretics Increase the Risk of Skin Cancer? A Critical Review of the Scientific Evidence and Updated Meta-Analysis.

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