Abstract
Background: Use of calcium channel blockers (CCBs) has been associated with increased risk of breast cancer in some, but not all, studies. Differences in reported associations from prior studies may be due, in part, to inadequate control of confounding factors.
Methods: Participants were 28,561 postmenopausal women from the Women's Health Initiative who reported use of either CCBs or other antihypertensive medications (AHMs) at baseline; 1,402 incident breast cancer cases were diagnosed during 12 years of follow-up. Adjusted Cox regression models were used to estimate HRs and 95% confidence intervals (CI) for the associations between CCB use relative to other AHM use and breast cancer risk.
Results: Use of CCBs was not associated with breast cancer risk (HR, 1.06; 95% CI, 0.94–1.20) relative to use of other AHMs. Associations approximated the null value when CCBs were considered by duration of use, length of action, or drug class.
Conclusions: We provide additional evidence that CCBs do not influence breast cancer risk in postmenopausal women.
Impact: The results from this study, which includes strong control for potential confounding factors, cast doubt on increases in risk with CCBs. Cancer Epidemiol Biomarkers Prev; 26(8); 1345–8. ©2017 AACR.
Introduction
The use of calcium channel blockers (CCBs) recently has been found to be associated with increased risk of breast cancer (1, 2), although inconsistently. The inconsistency may be due to differences inherent in study design, or inadequately controlled confounding, including factors related to prescription for CCBs. Indeed, a number of important risk factors are shared between hypertension and breast cancer, making interpretation of results from studies that do not restrict to hypertensive women challenging. Given the high prevalence of CCB use and their hypothesized potential to disrupt apoptotic pathways, additional high-quality prospective data are needed.
Here, we examine the association between CCB use and breast cancer risk in the Women's Health Initiative (WHI), a large cohort of postmenopausal women. To further control for potential confounding, we compared CCB exposure with use of any other antihypertensive medication (AHM).
Materials and Methods
Study population
Information about the WHI methods has been published previously (3). From 1993 to 1998, 161,808 postmenopausal women, ages 50 to 79 years, were recruited into an observational study (OS) and one or more clinical trials (CT). Women were followed up to 2005 and, via an extension study, up to 2010. For this analysis, we excluded at baseline women who had prevalent breast cancer (n = 5,551); did not self-report a history of hypertension (n = 95,530), were nonusers of CCBs or other AHM (n = 26,840), or who used CCBs in combination with other AHM (n = 5,325) or were missing these data (n = 1); and leaving n = 28,561 for analysis.
Data collection
Participants attended baseline screening visits, during which they completed extensive baseline questionnaires. Height and weight were measured by clinical staff. In-person medication inventories were obtained by review of participants' pill containers at baseline and year 3 in the OS and additionally in years 1, 6, and 9 in the CT. CCBs were subclassified into dihydropyridines or non-dihydropyridines and short acting or long acting. Duration of medication use was categorized as <5 years, 5 to 9.9 years, and ≥10 years. Other AHM data (including diuretics, ACE inhibitors, adrenergic receptor antagonists, angiotensin II receptor antagonists, renin inhibitors, and vasodilators) were obtained in an identical manner.
Case ascertainment
Incident, first-primary, invasive breast cancers were self-reported annually in the OS and semiannually in the CT until 2005 and annually thereafter. Cases were confirmed by medical record review by physician-adjudicators. After a median follow-up of 12.7 years, 1,402 invasive breast cancers were identified. Breast cancer subtypes, defined here as joint expressions of estrogen receptor (ER), progesterone receptor (PR), and HER2, were abstracted from medical records.
Statistical analyses
Cox proportional hazards models were used to estimate HRs and 95% confidence intervals (CI) for the associations between baseline CCB and breast cancer risk relative to other AHM. Categories of CCB duration were compared with the same categories of other AHM in regression models. Regression models were adjusted a priori for breast cancer risk factors thought to potentially confound associations and CT randomization. We performed several sensitivity analyses: (i) in the WHI-CT, CCB and other AHM use was treated as time-varying in regression models; (ii) we additionally examined associations of CCB use versus nonuse (n = 156,255) in the larger WHI cohort (including women without hypertension; n = 156,255) to compare our findings with others that did not account for confounding by shared risk factors.
Results
Differences by medication for participants' baseline characteristics were small (Table 1). Compared with other AHM use, CCB use was not associated with breast cancer risk (HR, 1.06; 95% CI, 0.94–1.20; Table 2). No associations were observed when CCB use was stratified by length of action or drug class. When cancers were stratified on molecular subtype defined by ER, PR, and HER2, CCB use was associated with elevated risk of triple-negative breast cancers (HR, 1.60; 95% CI, 1.04–2.48). In the sensitivity analysis, time-varying CCB use was also not associated with breast cancer risk (HR, 0.99; 95% CI, 0.78–1.26). When CCB use was contrasted against nonuse (thus insufficiently controlling for shared hypertension/breast cancer risk factors; n = 156,255), associations were elevated (HR, 1.30; 95% CI, 0.84–2.02). When we restricted the comparison to women who reported prevalent hypertension (n = 60,726; HR, 1.08; 95% CI, 0.98–1.18) and who used ≥1 AHM (n = 33,886; HR, 1.08; 95% CI, 0.98–1.20), the association was attenuated.
Distribution of selected baseline characteristics of WHI participants by baseline CCB use, as compared with other AHM use, in the WHI OS and CT, N = 28,561
Characteristics . | Other AHM use (n = 20,510), n (%) . | CCB Use (n = 8,051), n (%) . |
---|---|---|
Demographics and anthropometrics | ||
Age, mean (SD) | 64.97 (6.94) | 65.36 (7.00) |
Education | ||
≤High school graduate | 5,359 (26.32) | 2,217 (27.72) |
Some college | 8,133 (39.94) | 3,111 (38.90) |
College or advanced degree | 6,870 (33.74) | 2,670 (33.38) |
Race/ethnicity | ||
White | 16,527 (80.58) | 5,679 (70.54) |
Black | 2,436 (11.88) | 1,517 (18.84) |
Hispanic | 611 (2.98) | 314 (3.90) |
Asian/Pacific Islander | 510 (2.49) | 357 (4.43) |
Other | 426 (2.08) | 184 (2.29) |
Body mass index, kg/m2 | ||
<25 | 4,606 (22.66) | 1,887 (23.64) |
25–29.9 | 6,857 (33.73) | 2,776 (34.77) |
≥30 | 8,867 (43.62) | 3,320 (41.59) |
Lifestyle characteristics | ||
Physical activity, MET-h/week | ||
Inactive | 3,706 (18.45%) | 1,510 (19.17) |
>0–6.7 | 6,422 (31.96%) | 2,494 (31.66) |
6.8–16.6 | 5,327 (26.51%) | 2,094 (26.58) |
≥16.6 | 4,637 (23.08%) | 1,780 (22.59) |
Smoking, pack-years | ||
Never smoker | 10,654 (53.75) | 4,041 (52.03) |
>0–7.4 | 3,008 (15.18) | 1,170 (15.06) |
7.5–23.0 | 2,829 (14.27) | 1,126 (14.50) |
≥23.1 | 3,329 (16.80) | 1,430 (18.41) |
Alcohol consumption, servings/week | ||
0 | 9,792 (47.90) | 4,116 (51.25) |
0.2–0.8 | 3,951 (19.33) | 1,500 (18.68) |
0.9–3.7 | 3,238 (15.84) | 1,137 (14.16) |
≥3.8 | 3,463 (16.94) | 1,278 (15.91) |
Medical history and reproductive health | ||
Number of first-degree relatives with breast cancer | ||
None | 16,177 (85.20) | 6,428 (85.31) |
1 | 2,506 (13.20) | 995 (13.21) |
≥2 | 304 (1.60) | 112 (1.49) |
Breast cancer screening | ||
Never | 541 (2.65) | 214 (2.67) |
Ever | 19,857 (97.35) | 7,792 (97.33) |
Age at menarche, years | ||
≤10 | 1,464 (7.16) | 574 (7.15) |
11–12 | 8,845 (43.25) | 3,377 (42.08) |
13–14 | 8,249 (40.34) | 3,277 (40.83) |
≥15 | 1,891 (9.25) | 797 (9.93) |
Age at menopause, years | ||
<47 | 6,983 (35.87) | 2,877 (37.82) |
47–51 | 6,486 (33.31) | 2,414 (31.73) |
≥52 | 6,001 (30.82) | 2,317 (30.45) |
Parity | ||
Never pregnant | 2,239 (10.97) | 867 (10.83) |
1 | 1,764 (8.65) | 698 (8.72) |
2–4 | 12,932 (63.38) | 5,052 (63.11) |
≥5 | 3,468 (17.00) | 1,388 (17.34) |
Age at first birth, years | ||
Never pregnant | 2,239 (12.16) | 867 (12.07) |
<20 | 2,877 (15.62) | 1,234 (17.18) |
20–29 | 11,876 (64.48) | 4,545 (63.27) |
≥30 | 1,427 (7.75) | 537 (7.48) |
Duration of unopposed estrogen therapy, years | ||
<4 | 14,628 (71.32) | 5,823 (72.33) |
4–12 | 2,549 (12.43) | 968 (12.02) |
≥12 | 3,333 (16.25) | 1,260 (15.65) |
Duration of combined hormone therapy, years | ||
<2.5 | 17,419 (84.93) | 6,992 (86.85) |
2.5–7 | 1,507 (7.35) | 514 (6.38) |
≥8 | 1,584 (7.72) | 545 (6.77) |
Characteristics . | Other AHM use (n = 20,510), n (%) . | CCB Use (n = 8,051), n (%) . |
---|---|---|
Demographics and anthropometrics | ||
Age, mean (SD) | 64.97 (6.94) | 65.36 (7.00) |
Education | ||
≤High school graduate | 5,359 (26.32) | 2,217 (27.72) |
Some college | 8,133 (39.94) | 3,111 (38.90) |
College or advanced degree | 6,870 (33.74) | 2,670 (33.38) |
Race/ethnicity | ||
White | 16,527 (80.58) | 5,679 (70.54) |
Black | 2,436 (11.88) | 1,517 (18.84) |
Hispanic | 611 (2.98) | 314 (3.90) |
Asian/Pacific Islander | 510 (2.49) | 357 (4.43) |
Other | 426 (2.08) | 184 (2.29) |
Body mass index, kg/m2 | ||
<25 | 4,606 (22.66) | 1,887 (23.64) |
25–29.9 | 6,857 (33.73) | 2,776 (34.77) |
≥30 | 8,867 (43.62) | 3,320 (41.59) |
Lifestyle characteristics | ||
Physical activity, MET-h/week | ||
Inactive | 3,706 (18.45%) | 1,510 (19.17) |
>0–6.7 | 6,422 (31.96%) | 2,494 (31.66) |
6.8–16.6 | 5,327 (26.51%) | 2,094 (26.58) |
≥16.6 | 4,637 (23.08%) | 1,780 (22.59) |
Smoking, pack-years | ||
Never smoker | 10,654 (53.75) | 4,041 (52.03) |
>0–7.4 | 3,008 (15.18) | 1,170 (15.06) |
7.5–23.0 | 2,829 (14.27) | 1,126 (14.50) |
≥23.1 | 3,329 (16.80) | 1,430 (18.41) |
Alcohol consumption, servings/week | ||
0 | 9,792 (47.90) | 4,116 (51.25) |
0.2–0.8 | 3,951 (19.33) | 1,500 (18.68) |
0.9–3.7 | 3,238 (15.84) | 1,137 (14.16) |
≥3.8 | 3,463 (16.94) | 1,278 (15.91) |
Medical history and reproductive health | ||
Number of first-degree relatives with breast cancer | ||
None | 16,177 (85.20) | 6,428 (85.31) |
1 | 2,506 (13.20) | 995 (13.21) |
≥2 | 304 (1.60) | 112 (1.49) |
Breast cancer screening | ||
Never | 541 (2.65) | 214 (2.67) |
Ever | 19,857 (97.35) | 7,792 (97.33) |
Age at menarche, years | ||
≤10 | 1,464 (7.16) | 574 (7.15) |
11–12 | 8,845 (43.25) | 3,377 (42.08) |
13–14 | 8,249 (40.34) | 3,277 (40.83) |
≥15 | 1,891 (9.25) | 797 (9.93) |
Age at menopause, years | ||
<47 | 6,983 (35.87) | 2,877 (37.82) |
47–51 | 6,486 (33.31) | 2,414 (31.73) |
≥52 | 6,001 (30.82) | 2,317 (30.45) |
Parity | ||
Never pregnant | 2,239 (10.97) | 867 (10.83) |
1 | 1,764 (8.65) | 698 (8.72) |
2–4 | 12,932 (63.38) | 5,052 (63.11) |
≥5 | 3,468 (17.00) | 1,388 (17.34) |
Age at first birth, years | ||
Never pregnant | 2,239 (12.16) | 867 (12.07) |
<20 | 2,877 (15.62) | 1,234 (17.18) |
20–29 | 11,876 (64.48) | 4,545 (63.27) |
≥30 | 1,427 (7.75) | 537 (7.48) |
Duration of unopposed estrogen therapy, years | ||
<4 | 14,628 (71.32) | 5,823 (72.33) |
4–12 | 2,549 (12.43) | 968 (12.02) |
≥12 | 3,333 (16.25) | 1,260 (15.65) |
Duration of combined hormone therapy, years | ||
<2.5 | 17,419 (84.93) | 6,992 (86.85) |
2.5–7 | 1,507 (7.35) | 514 (6.38) |
≥8 | 1,584 (7.72) | 545 (6.77) |
Associations of baseline CCB use versus other AHM use with breast cancer risk in the WHI OS and CT, n = 28,561
. | . | . | Baseline duration of CCB use, yearsa . | ||
---|---|---|---|---|---|
. | AHM Use . | CCB Use . | >0–4.9 . | 5.0–9.9 . | ≥10 . |
Any CCBs | |||||
n cases/n noncases | 1,008/19,502 | 394/7,657 | 256/5,349 | 103/1,601 | 35/707 |
HR (95% CI)b | 1.00 reference | 1.06 (0.94–1.20) | 1.01 (0.87–1.18) | 1.33 (1.03–1.71) | 1.05 (0.72–1.52) |
CCB Action | |||||
Short acting | |||||
n cases/n noncases | 1,008/19,502 | 112/2,139 | 72/1,506 | 32/450 | 8/192 |
HR (95% CI)b | 1.00 reference | 1.08 (0.88–1.32) | 1.03 (0.80–1.32) | 1.35 (0.91–2.02) | 0.91 (0.44–1.86) |
Long acting | |||||
n cases/n noncases | 1,008/19,502 | 284/5,548 | 184/3,878 | 73/1,159 | 27/520 |
HR (95% CI)b | 1.00 reference | 1.06 (0.92–1.22) | 0.99 (0.84–1.18) | 1.33 (1.00–1.76) | 1.08 (0.71–1.63) |
CCB Drug class | |||||
Dihydropyridines | |||||
n cases/n noncases | 1,008/19,502 | 152/3,390 | 118/2,614 | 24/564 | 10/212 |
HR (95% CI)b | 1.00 reference | 0.96 (0.81–1.15) | 1.00 (0.81–1.22) | 0.87 (0.56–1.36) | 0.92 (0.48–1.78) |
Nondihydropyridines | |||||
n cases/n noncases | 1,008/19,502 | 242/4,300 | 138/2,765 | 79/1,039 | 25/496 |
HR (95% CI)b | 1.00 reference | 1.13 (0.98–1.31) | 1.01 (0.83–1.23) | 1.54 (1.17–2.02) | 1.09 (0.71–1.66) |
. | . | . | Baseline duration of CCB use, yearsa . | ||
---|---|---|---|---|---|
. | AHM Use . | CCB Use . | >0–4.9 . | 5.0–9.9 . | ≥10 . |
Any CCBs | |||||
n cases/n noncases | 1,008/19,502 | 394/7,657 | 256/5,349 | 103/1,601 | 35/707 |
HR (95% CI)b | 1.00 reference | 1.06 (0.94–1.20) | 1.01 (0.87–1.18) | 1.33 (1.03–1.71) | 1.05 (0.72–1.52) |
CCB Action | |||||
Short acting | |||||
n cases/n noncases | 1,008/19,502 | 112/2,139 | 72/1,506 | 32/450 | 8/192 |
HR (95% CI)b | 1.00 reference | 1.08 (0.88–1.32) | 1.03 (0.80–1.32) | 1.35 (0.91–2.02) | 0.91 (0.44–1.86) |
Long acting | |||||
n cases/n noncases | 1,008/19,502 | 284/5,548 | 184/3,878 | 73/1,159 | 27/520 |
HR (95% CI)b | 1.00 reference | 1.06 (0.92–1.22) | 0.99 (0.84–1.18) | 1.33 (1.00–1.76) | 1.08 (0.71–1.63) |
CCB Drug class | |||||
Dihydropyridines | |||||
n cases/n noncases | 1,008/19,502 | 152/3,390 | 118/2,614 | 24/564 | 10/212 |
HR (95% CI)b | 1.00 reference | 0.96 (0.81–1.15) | 1.00 (0.81–1.22) | 0.87 (0.56–1.36) | 0.92 (0.48–1.78) |
Nondihydropyridines | |||||
n cases/n noncases | 1,008/19,502 | 242/4,300 | 138/2,765 | 79/1,039 | 25/496 |
HR (95% CI)b | 1.00 reference | 1.13 (0.98–1.31) | 1.01 (0.83–1.23) | 1.54 (1.17–2.02) | 1.09 (0.71–1.66) |
aRelative to the same duration of other AHM use; case/noncase frequencies for other AHM users are: 610/12,184 (>0–4.9 y), 189/3,654 (5.0–9.9 y), and 209/3,664 (≥10 y).
bAdjusted for baseline age (time variable), WHI-CT intervention assignment, education, race, body mass index, physical activity, smoking, alcohol, and breast cancer screening.
Discussion
We observed no association between CCB use and breast cancer risk in the WHI. Although these results contrast with recent case–control analyses (1, 2) and an early (ref. 4; but not later; ref. 5) report from a prospective study, our findings of no association are compatible with recent data from several prospective cohorts (6–8). Although a recent case–control study among Spanish women reported higher postmenopausal breast cancer risk associated with CCB use (OR, 1.72; 95% CI, 1.05–2.80; ref. 1), it was neither restricted to hypertensive women nor were CCBs compared with users of other antihypertensive medications, leaving a strong possibility for confounding. A >2-fold higher risk reported by Li and colleagues (2) persisted after restriction of the analysis to hypertensive women; however, the referent group included women with untreated hypertension. No study has examined associations with breast cancers characterized by molecular subtypes; the elevated association observed here may be due to chance but warrants consideration.
The advantages of this study include its comprehensive collection of medication use and its strong control of confounding by restriction of the analysis to women with hypertension and comparing CCB use with that of other AHMs. Furthermore, attrition bias was minimized with near-complete follow-up in the WHI.
We provide here additional evidence that CCBs do not broadly influence breast cancer risk in postmenopausal women.
Disclosure of Potential Conflicts of Interest
R.T. Chlebowski is a consultant for AstraZeneca, Novartis, Amgen, and Genomic Health and serves as a speaker for Novartis and Genentech. No potential conflicts of interest were disclosed by the other authors.
Authors' Contributions
Conception and design: T.M. Brasky, J.L. Krok-Schoen, J. Wactawski-Wende, A. Wang, J.E. Manson
Development of methodology: L. Qi, T.M. Brasky, K.L. Margolis, J. Wactawski-Wende, A. Wang, J.E. Manson
Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): R.T. Chlebowski, K.L. Margolis, M.S. Simon, J. Wactawski-Wende, J.E. Manson
Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): T.M. Brasky, J.L. Krok-Schoen, J. Liu, R.T. Chlebowski, J.L. Freudenheim, S. Lavasani, K.L. Margolis, L. Qi, K.W. Reding, P.G. Shields, M.S. Simon, J. Wactawski-Wende, A. Wang, C. Womack, J.E. Manson
Writing, review, and/or revision of the manuscript: T.M. Brasky, J.L. Krok-Schoen, J. Liu, R.T. Chlebowski, J.L. Freudenheim, S. Lavasani, K.L. Margolis, L. Qi, K.W. Reding, P.G. Shields, M.S. Simon, J. Wactawski-Wende, A. Wang, C. Womack, J.E. Manson
Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): R.T. Chlebowski, J. Wactawski-Wende, J.E. Manson
Study supervision: J. Wactawski-Wende, J.E. Manson
Grant Support
This work was supported by the National Heart, Lung, and Blood Institute, NIH, and U.S. Department of Health and Human Services grants HHSN2682011000046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, and HHSN268201100004C.
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