Literature DB >> 16523201

Use of antidepressant medications in relation to the incidence of breast cancer.

D Fulton-Kehoe1, M A Rossing, C Rutter, M T Mandelson, N S Weiss.   

Abstract

Although associations have been reported between antidepressant use and risk of breast cancer, the findings have been inconsistent. We conducted a population-based case-control study among women enrolled in Group Health Cooperative (GHC), a health maintenance organization in Washington State. Women with a first primary breast cancer diagnosed between 1990 and 2001 were identified (N = 2904) and five controls were selected for each case (N = 14396). Information on antidepressant use was ascertained through the GHC pharmacy database and on breast cancer risk factors and screening mammograms from GHC records. Prior to one year before diagnosis of breast cancer, about 20% of cases and controls had used tricyclic antidepressants (adjusted odds ratio = 1.06, 95% CI 0.94-1.19) and 6% of each group had used selective serotonin reuptake inhibitors (OR = 0.98, 95% CI 0.80-1.18). There also were no differences between cases and controls with regard to the number of prescriptions filled or the timing of use. Taken as a whole, the results from this and other studies to date do not indicate an altered risk of breast cancer associated with the use of antidepressants overall, by class, or for individual antidepressants.

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Year:  2006        PMID: 16523201      PMCID: PMC2361224          DOI: 10.1038/sj.bjc.6603017

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Antidepressant use has increased steadily (Stafford ; Pirraglia ; Meijer ) since the introduction of selective serotonin reuptake inhibitors (SSRIs) in the late 1980s, with use reported by 10–20% of women in recent studies (Moorman ; Steingart ; Chien ), though actual use is likely to be higher due to underreporting (Boudreau ). Antidepressants may affect the risk of breast cancer through the influence of prolactin, of which elevated levels have been observed with use of SSRIs, tricyclic antidepressants, and other psychotropic drugs (Amsterdam ; Cowen and Sargent, 1997; Emiliano and Fudge, 2004). Higher prolactin levels have been associated with an increased risk of postmenopausal breast cancer (Hankinson ; Tworoger ). However, the results of several studies of a possible association between antidepressant use and breast cancer risk have been inconsistent (see Discussion section). To assess more completely the relation of breast cancer with antidepressant use, we conducted a large case control study using both computerized pharmacy records as well as records of reproductive history, family history of breast cancer, and other breast cancer risk factors. Breast cancer cases diagnosed during 1990–2001 were included, which allowed examination of newer SSRIs as well as tricyclic antidepressants.

METHODS

All study subjects were enrollees of Group Health Cooperative (GHC), a health maintenance organization with over 500 000 members in western Washington State. Women with a new diagnosis of invasive or in situ breast cancer diagnosed between 1990 and 2001 were identified by routine linkage between the GHC enrollment file and the Seattle-Puget Sound Surveillance, Epidemology, and End-Results SEER (2005). Five controls were selected for each case matched on age, calendar year, and length of GHC membership, with the diagnosis date of the case assigned to each matched control as the reference date. To ensure more complete pharmacy records, we restricted cases and controls to women continuously enrolled at GHC for at least 4 years. We identified 2904 eligible cases age 30–79 when diagnosed with a first primary invasive or in situ breast cancer and 14396 eligible controls. Since 1977, the GHC pharmacy database has included a record for all prescriptions dispensed to GHC enrollees. Each pharmacy record includes a patient identifier, the drug type and dose, date dispensed, quantity dispensed, and dosing instructions. Measures of antidepressant exposure included all prescriptions from the GHC enrollment start date up to 1 year prior to the reference date, with the exception of time since last use, which also included prescriptions filled in the year before the reference date. To provide some assurance that a prescribed drug was actually taken, we classified women as antidepressant users if they filled at least two prescriptions in a 6-month interval. We used number of prescriptions filled as a measure of duration of use, with a typical prescription filled for 1 month. We examined antidepressant use overall, individual antidepressant medications, and four classes of antidepressants including SSRIs, tricyclics, monoamine oxidase inhibitors (MAOIs), and atypical antidepressants. The SSRI category included paroxetine, fluoxetine, sertraline, fluvoxamine, and citalopram. Tricyclic antidepressants included amitriptyline, doxepin, imipramine, desipramine, nortriptyline, protriptyline, amoxapine, trimipramine, and clomipramine. The MAOIs included phenelzine and tranylcypromine. Bupropion, mirtazapine, nefazodone, venlafaxine, maprotiline (a tetracyclic antidepressant), and trazodone were classified as ‘atypical’ antidepressants. Information on breast cancer risk factors and mammography history were obtained from the GHC Breast Cancer Screening Program (BCSP) databases (Taplin ). As part of the Breast Cancer Screening Program, self-administered questionnaires are first sent to all GHC women when they turn 40 (or enroll in GHC, whichever is later). Of eligible women, approximately 85–90% enroll in the BCSP and complete the initial questionnaire. The questionnaire includes information on clinical breast exams, previous mammograms, menopausal status, use of menopausal hormone replacement therapy, age at first birth, previous biopsies, family history of breast cancer, height, weight, education, and race. Selected questions from the BCSP questionnaire are updated at each screening visit. GHC also maintains databases of mammograms performed at GHC with dates of each mammogram, indications for examination (screening or diagnostic), type of evaluation (standard screening or diagnostic), results, and recommendations. Based on these records, we determined whether a study participant had had a screening mammogram in the 2 years prior to her diagnosis or reference date. Unconditional logistic regression was used to compute odds ratios (as an estimate of relative risk) and 95% CI for duration and type of antidepressant use in relation to risk of breast cancer. All models included the matching factors (age at reference date, length of GHC membership, and reference year) as continuous variables. Family history of breast cancer, use and duration of HRT, body mass index, parity/age at first birth, and mammographic screening in the 2 years before reference date were determined to be potential confounders based on their associations with both exposure and disease. In addition to the matching factors, these factors were included in all multivariate models. Our primary analyses included all women with invasive breast cancer and controls. Additional analyses examined ductal and lobular cases separately. We also conducted analyses separately of women with oestrogen receptor (ER) positive and ER negative tumours, based on routinely collected information from SEER. Polytomous regression models were used when cases were classified based on histology or ER status, which resulted in multiple case groups. To ensure more complete exposure data, some analyses were restricted to the subgroup of women enrolled in GHC for at least 10 years (over 70% of eligible subjects in this study). Cases with in situ disease were examined separately due to differences in the natural history (Bodian, 1993; Jensen and Page, 2003) and in some risk factors (Weiss ; Trentham-Dietz ; Moorman ) between invasive and in situ disease.

RESULTS

Of the 2904 eligible cases, 2449 had invasive breast cancer and 455 had in situ carcinoma. Of the cases with invasive disease, 72% were ductal, 14% lobular or mixed lobular and ductal, and 14% were other histologies. Compared to controls, women with invasive breast cancer were more likely to report a family history of breast cancer, to be nulliparous, and to be at least 30 years old at first birth (Table 1). A higher percent of cases reported ever use of HRT and longer use of HRT. Women with invasive disease were slightly more likely to be overweight or obese than controls. The percentage of subjects with a screening mammogram within 2 years of the reference date was higher for invasive cases (71%) than for controls (58%) and cases were more likely to report a previous breast biopsy than controls.
Table 1

Characteristics of women with invasive breast cancer and controls

  Cases (N=2449)
Controls (N=14396)
  n % n %
Age at diagnosis/reference date
 30–39923.85073.5
 40–4946118.8287820.0
 50–5961125.0355424.7
 60–6961825.2364625.3
 70+66727.2381126.5
     
Length of enrollment
 4–964226.2378126.3
 10–19100741.1590041.0
 20+ years80032.7471532.8
     
First degree family history of breast cancer
 Yes45220.6169713.5
 No174679.41083386.5
 Missing251(10.3)1866(13.0)
     
Age at menarche
 ⩽101416.07405.6
 11–14193683.01087982.5
 15+25611.0156611.9
 Missing116(4.7)1211(8.4)
     
Parous
 Yes191085.91103787.6
 No31414.1156812.4
 Missing225(9.2)1791(12.4)
     
Age at first birth (among parous women)
 <2037419.6217419.7
 20–2481642.7480443.5
 25–2944323.2270924.6
 30–3421811.49708.8
 35+583.03773.4
 Missing1(0.05)4(0.04)
     
Use of birth control pills
 Yes113153.8630152.0
 No97349.7582148.0
 Missing345(14.1)2274(15.8)
     
Ever use of HRT
 Yes109550.3535243.8
 No108349.7685856.3
 Missing271(11.1)2186(15.2)
     
Duration of use of HRT
 ⩾5 years63229.0290123.8
 < 5 years44320.3234819.2
 Duration unknown200.91030.8
 None108349.7685856.2
 Missing271(11.1)2186(15.2)
     
Body mass index
 Normal (<25)100546.0610149.7
 Overweight (25–29.9)66530.4353628.8
 Obese (30+)51623.6263121.5
 Missing263(10.7)2128(14.8)
     
Race
 White185990.8976889.1
 Asian874.35685.2
 Black572.83513.2
 Multi/other442.22752.5
 Missing402(16.4)3434(23.9)
     
Education
 Less than high school1436.77927.2
 High school graduate49923.3262723.8
 Some post secondary73634.3385134.9
 College graduate35016.3168715.3
 Advanced degree/some graduate school41819.5209419.0
 Missing303(12.4)3345(23.2)
     
Previous biopsy
 Yes57425.9215617.2
 No164074.11040682.8
 Missing235(9.6)1834(12.7)
     
At least 1 screening mammogram within 2 years prior to reference date
 Yes172870.6837058.1
 No72129.4602641.9
Overall, 34% of women had filled at least 1 prescription for antidepressants up to 1 year before the diagnosis or reference date. About 24% had filled at least 2 antidepressant prescriptions within 6 months and were considered antidepressant users for this study. About 20% had filled at least 2 prescriptions for tricyclic antidepressants. For SSRIs, 6% had filled at least two prescriptions within 6 months and about 6% filled at least two prescriptions for atypical antidepressants. For each antidepressant class, women filled a median of 10 prescriptions. Among controls, women who used antidepressants were more likely to report use of HRT than nonusers and had a longer duration of use than women who had not used antidepressants (Table 2). A higher percentage of women who used antidepressants were classified as obese than those who did not use antidepressants. Antidepressant users were also more likely to have had a screening mammogram within 2 years before the reference date and had been enrolled at GHC for a longer time than nonusers. Women who were older, had a younger age at menarche, a first birth before 20 years of age, or were white were more likely to use antidepressants, although these differences were relatively small.
Table 2

Characteristics of antidepressant users and nonusers among controls

  Antidepressant users (N=3426)
Nonusers (N=10970)
  n % n %
Age at reference date
 30–39702.04374.0
 40–4963518.5224320.5
 50–5991026.6264424.1
 60–6984524.7280125.5
 70+96628.2284525.9
     
Length of enrollment
 4–974521.8303627.7
 10–19142241.5447840.8
 20+ years125936.8345631.5
     
First degree family history of breast cancer
 Yes48715.6121012.9
 No263884.4819587.1
     
Age at menarche
 ⩽102186.85225.2
 11–14265382.2822682.6
 15+35811.1120812.1
     
Parous
 Yes275987.6827887.5
 No38912.4117912.5
     
Age at first birth
 <2068424.8149018.0
 20–24122944.6357543.2
 25–2958121.0212825.7
 30–341896.97819.4
 35+762.83013.6
     
Ever use of HRT
 Yes163853.8371440.5
 No140546.2545359.5
     
Duration of use of HRT
 ⩾5 years92330.8197821.7
 <5 years67322.4167518.4
 None140546.8545359.9
     
Body mass index
 Normal (<25)135944.2474251.6
 Overweight (25–29.9)85527.8268129.2
 Obese (30+)86128.0177019.3
     
Race
 White250291.3726688.4
 Asian742.74946.0
 Black843.12673.3
 Multi/other813.01942.4
     
Education
 Less than high school2218.05716.9
 High school graduate68324.6194423.5
 Some post secondary100436.1284734.4
 College graduate39814.3128915.6
 Advanced degree/some graduate school47317.0162119.6
     
Previous biopsy
 Yes59218.9156416.6
 No254781.1785983.4
     
At least 1 screening mammogram within 2 years prior to reference date
 Yes217563.5619556.5
 No125136.5477543.5
When only adjusted for matching factors, the odds ratio for ever use of antidepressants was slightly elevated (OR=1.11 95% CI 1.00–1.22, P=0.048) (Table 3). After adjusting for potential confounding variables the OR was 1.04 (95% CI=0.94–1.16). Risk did not increase with increasing number of antidepressant prescriptions filled. The odds ratio for tricyclic use was slightly elevated when adjusted only for matching factors (OR=1.12, 95% CI 1.00–1.24), but not after additional adjustment (OR=1.06, 95% CI 0.94–1.19). The risk was not elevated with a greater number of tricyclic prescriptions filled. Ever use of SSRIs also was not associated with breast cancer risk (adjusted OR=0.98, 95% CI 0.80–1.18), nor was receipt of a relatively larger number of prescriptions. Use of atypical antidepressants was not associated with an increased risk of breast cancer.
Table 3

Antidepressant use among women with invasive breast cancer and controls

  Cases (N=2449) Controls (N=14396) Adjusted for matching factorsa (N=16845)
Adjusted for potential confounding factorsb (N=13872)
Exposure variables n n OR 95% CI OR 95% CI
No antidepressants1822109701.00 1.00 
       
Antidepressants
 Any use62734261.111.00–1.221.040.94–1.16
 2–10 prescriptions27615031.110.97–1.271.040.90–1.21
 11–20 prescriptions1206271.160.95–1.421.100.89–1.38
 21–50 prescriptions1267601.010.83–1.220.940.76–1.16
 51+ prescriptions1055361.190.96–1.481.120.89–1.41
       
Tricyclics
 Any use52728501.121.00–1.241.060.94–1.19
 2–10 prescriptions27314841.110.97–1.281.050.90–1.22
 11–20 prescriptions944901.160.92–1.451.130.89–1.44
 21–50 prescriptions945571.020.82–1.280.960.76–1.23
 51+ prescriptions663191.250.96–1.641.160.86–1.55
       
SSRIs
 Any use1549111.040.86–1.240.980.80–1.18
 2–10 prescriptions784611.030.81–1.320.970.74–1.26
 11–20 prescriptions352031.060.73–1.520.900.60–1.33
 21+ prescriptions412471.020.73–1.441.040.73–1.48
       
Atypical
 Any use1508761.040.87–1.250.950.78–1.16
 2–10 prescriptions905351.020.81–1.290.930.72–1.16
 11–20 prescriptions231351.040.99–1.921.100.68–1.73
 21–50 prescriptions241421.030.66–1.590.820.50–1.34
 51+ prescriptions13641.250.68–2.271.130.60–2.13

Adjusted for age, length of enrollment, and calendar year.

Adjusted for age, length of enrollment, calendar year, family history of breast cancer, parity/age at first birth, duration of HRT use, body mass index, and history of screening mammogram in 2 years prior to reference date.

In the analyses of the three most common tricyclic medications (Table 4), there was no association with doxepin or imipramine, but the odds ratios were somewhat elevated for amitriptyline. When accounting only for the matching factors, the odds ratio for ever use of amitriptyline was 1.27 (95% CI 1.10–1.47). The odds ratio was somewhat attenuated, but still slightly elevated (OR=1.21, 95% CI 1.03–1.41) after adjusting for potential confounding factors. No elevated risks were observed for the three most common SSRIs (fluoxetine, paroxetine, or sertraline) or with trazodone, the most common atypical antidepressant.
Table 4

Use of specific antidepressant medications among women with invasive breast cancer and controls

  Cases Controls Adjusted for matching factorsa
Adjusted for potential confounding factorsb
Exposure variable n n OR 95% CI OR 95% CI
No antidepressants1822109701.00 1.00 
       
Tricyclics
Amitriptyline      
 Any use25011911.271.10–1.471.211.03–1.41
 2–10 prescriptions1517561.201.00–1.441.170.97–1.43
 11+ prescriptions994351.381.10–1.721.260.99–1.60
       
Doxepin
 Any use18611011.010.86–1.190.950.79–1.13
 2–10 prescriptions1207101.010.83–1.230.940.75–1.17
 11+ prescriptions663911.010.78–1.320.960.72–1.27
       
Imipramine      
 Any use1276831.130.93–1.371.040.84–1.29
 2–10 prescriptions794441.080.84–1.380.980.76–1.28
 11+ prescriptions482391.220.89–1.671.150.82–1.61
       
SSRIs
Fluoxetine      
 Any use1146111.070.86–1.341.000.80–1.25
 2–10 prescriptions593640.990.75–1.310.940.69–1.27
 11+ prescriptions552971.140.85–1.531.070.78–1.46
       
Paroxetine      
 Any use412411.050.75–1.481.000.70–1.41
 2–10 prescriptions361781.250.87–1.811.150.79–1.69
 11+ prescriptions5630.490.20–1.230.520.21–1.31
       
Sertraline      
 Any use402151.150.82–1.621.160.81–1.66
 2–10 prescriptions241291.150.74–1.781.180.75–1.86
 11+ prescriptions16861.150.67–1.981.120.64–1.98
       
Atypical       
Trazodone      
 Any use1418021.070.89–1.290.960.78–1.18
 2–10 prescriptions825020.990.78–1.260.880.68–1.15
 11+ prescriptions593001.200.90–1.591.090.80–1.49

Adjusted for age, length of enrollment, and calendar year.

Adjusted for age, length of enrollment, calendar year, family history of breast cancer, parity/age at first birth, duration of HRT use, body mass index, history of screening mammogram in 2 years prior to reference date.

No patterns of increased risk were seen with time since first use or time since last use of tricyclics or SSRIs (data not shown). In analyses by ER status, no associations were seen between antidepressant use overall, number of antidepressant prescriptions, SSRI use, number of SSRI prescriptions, tricyclic use, or number of tricyclic prescriptions with either ER+ or ER− breast cancer (Table 5). With the possible exception of amitriptyline, individual antidepressants were not associated with either ER+ or ER− breast cancer. In fully adjusted models for ER+ breast cancer, the OR for ever use of amitriptyline was 1.22 (95% CI 1.02–1.45). For 2–10 prescriptions of amitriptyline the OR was 1.19 (95% CI 0.95–1.48) and for 11 or more prescriptions the OR was 1.27 (95% CI 0.96–1.66). No associations were observed with other individual antidepressant medications (data not shown).
Table 5

Antidepressant use among women with invasive breast cancer, by ER status, and controls

  ER+ cases ER– cases Controls ER+ compared to controlsa
ER− compared to controlsa
Exposure variables n n n OR 95% CI OR 95% CI
No antidepressants1307325109701.00 1.00 
        
Antidepressant
 Any use45710634261.050.93–1.191.010.79–1.30
 2–10 prescriptions2074515031.090.92–1.290.930.65–1.33
 11–20 prescriptions95166271.190.94–1.510.870.50–1.50
 21–50 prescriptions84257600.850.67–1.101.050.66–1.65
 51+ prescriptions71205361.040.79–1.361.390.86–2.26
        
Tricyclic
 Any use3868428501.070.94–1.210.950.72–1.24
 2–10 prescriptions2004814840.970.68–1.381.060.90–1.26
 11–20 prescriptions74124900.920.51–1.661.190.92–1.55
 21–50 prescriptions67105570.550.27–1.130.940.72–1.25
 51+ prescriptions45143191.630.91–2.901.090.77–1.60
        
SSRI
 Any use108289110.930.74–1.161.050.69–1.60
 2–10 prescriptions55134610.920.68–1.241.050.59–1.87
 11–20 prescriptions2672030.950.61–1.470.870.35–2.15
 21+ prescriptions2782470.930.62–1.411.210.58–2.51
        
Atypical
 Any use108318760.920.73–1.161.150.76–1.74
 2–10 prescriptions66195350.930.70–1.231.110.66–1.86
 11–20 prescriptions1761351.060.62–1.801.760.76–4.07
 21+ prescriptions2562060.820.52–1.310.890.36–2.20
        
Amitriptyline
 Any use1863811911.221.02–1.451.090.75–1.58
 2–10 prescriptions113237561.190.95–1.481.050.66–1.67
 11+ prescriptions73154351.270.96–1.661.160.65–2.06

Adjusted for age, length of enrollment, calendar year, family history of breast cancer, parity/age at first birth, duration of HRT use, body mass index, and history of screening mammogram in 2 years prior to reference date.

In the analysis of cases with invasive ductal carcinoma (data not shown), the odds ratios for the highest category of antidepressant use (OR=1.31, 95% CI 1.02–1.68) and the highest category of tricyclic use (OR=1.31, 95% CI 1.00–1.88) were somewhat elevated after adjusting for potential confounders. Risk was not elevated in any of the other categories of use, with no indication of a dose–response trend. No associations were seen between risk of ductal carcinoma and use of SSRIs or atypical antidepressants. Antidepressant use was not associated with invasive lobular carcinoma. When analyses were restricted to women enrolled in GHC for at least 10 years, risks did not differ for antidepressants overall or any class of antidepressants (data not shown). Neither any use of antidepressants overall nor use of a particular class of antidepressants was associated with an increased risk of carcinoma in situ (data not shown).

DISCUSSION

With few exceptions, no increased risks were observed between antidepressant use and risk of invasive breast cancer. After adjustment for potential confounding factors no associations were seen between risk of breast cancer and antidepressants overall, SSRIs, tricyclics, or atypical antidepressants. No increased risk was observed with time since first or last use of any class of antidepressants. When individual antidepressants were examined, only amitriptyline exhibited a possible, albeit weak, association (OR=1.21, 95% CI 1.03–1.41). Risks were not elevated for any other individual medications. Similar to our study, most prior studies have found little or no association with ever use of antidepressants (all classes combined) (Cotterchio ; Wang ; Moorman ; Steingart ; Chien ), with increasing duration of use (Cotterchio ; Wang ; Moorman ; Steingart ; Chien ), or with time since first or last use (Steingart ; Chien ). For use of tricyclic antidepressants, no increased risks were seen in most studies for current (Chien ; Gonzalez-Perez and Garcia Rodriguez, 2005) or ever use (Kelly ; Cotterchio ; Wang ; Sharpe ; Moorman ; Steingart ; Chien ). In the present study, there was a weak positive association when adjusted only for matching factors and this was attenuated when adjusted for additional potential confounders. Longer duration of tricyclic use was associated with an increased risk of breast cancer (OR=2.1, 95% CI 0.9–5.0) in one study (Cotterchio ), but not in others (Moorman ; Gonzalez-Perez and Garcia Rodriguez, 2005), including the present study, although cutpoints for the highest category of use have varied. Although we found a slightly increased risk with use of amitriptyline, other studies that examined individual tricyclic medications observed no increased risks associated with use of this drug (Kelly ; Cotterchio ; Wang ; Steingart ). Sharpe reported an elevated risk of breast cancer associated with the tricyclic drugs classified as ‘genotoxic’ based on Drosophila wing development (van Schaik and Graf, 1991; van Schaik and Graf, 1993). In the present study, no increased risk was observed either with an increasing number of prescriptions or timing of use of these same potentially genotoxic tricyclic medications (data not shown). In fact, in contrast to the findings by Sharpe et al, we found a slightly elevated risk of breast cancer associated with use of nongenotoxic tricyclic drugs, which includes the drug amitriptyline. Most studies (Kelly ; Cotterchio ; Wang ; Moorman ; Coogan ; Gonzalez-Perez and Garcia Rodriguez, 2005) have not found an association between ever use of SSRIs and risk of breast cancer, but one reported a slight increased risk (OR=1.32, 95% CI 0.97–1.80) (Steingart ). Although recent use of SSRIs was associated with an increased risk of breast cancer in one study (Kelly ), our study and others (Chien ; Gonzalez-Perez and Garcia Rodriguez, 2005) that examined timing of use did not find a similar association. Duration of SSRI use has been assessed in this and other studies (Kelly ; Cotterchio ; Moorman ; Chien ; Coogan ; Gonzalez-Perez and Garcia Rodriguez, 2005). One reported a doubling of the risk (OR=2.2, 95%CI=0.8–6.3) with duration of use longer than 3 years (Moorman ), but others have not observed an increased risk with increasing duration of use, although few women had used SSRIs for more than 2–3 years. Individual SSRI medications have been associated with an increased risk of breast cancer in two previous studies (Cotterchio ; Steingart ), but not in others (Chien ; Coogan ; Gonzalez-Perez and Garcia Rodriguez, 2005; Haque ) including our current study. Although one study reported an elevated odds ratio associated with use of sertraline (OR=1.45, 95% CI 0.88–2.40) (Steingart ), in our study and in others (Cotterchio ; Coogan ) the risk was not increased. The risk associated with paroxetine use has been substantially (OR=7.2, 95% CI 0.9–58.3) (Cotterchio ) and moderately (OR=1.45, 95% CI 0.88–2.40) (Steingart ) elevated in two studies, but not in ours or others (Chien ; Coogan ; Gonzalez-Perez and Garcia Rodriguez, 2005; Haque ). We did not find an association with ever use of paroxetine (OR 1.00) or with increasing number of paroxetine prescriptions filled (OR 1.15 for 2–10 prescriptions and 0.52 for at least 11 prescriptions). Atypical antidepressants have not shown an increased risk in this or other studies (Moorman ; Chien ). Trazodone was a commonly used antidepressant in our study population, but the number of women reporting use of atypical antidepressants has been quite low in other studies. Some studies relying on self-report may underestimate trazodone use if other indications of antidepressant use (such as insomnia) are not assessed. The one other study that evaluated whether the risk associated with antidepressant use varies by ER status reported associations of antidepressant use with ER− tumors and with PR− tumors. The strongest association was observed with SSRIs in ER+/PR− cases (OR=2.0, 95% CI 1.1–3.8)(Chien ). We did not find an association between SSRIs, tricyclics, or antidepressant use overall with either ER+ or ER− breast cancers. In contrast to the earlier study (Chien ), when we examined ER/PR combinations, risks were not elevated for ER+/PR− cases (data not shown). Recently, one study reported that antidepressant users had a lower risk of breast cancer among women with a family history of breast cancer and a higher risk in those without a family history (Chien ). Our results do not replicate this interaction (data not shown). Much of the prior research examining antidepressants and breast cancer risk has relied on the self-reported use of antidepressants (Kelly ; Cotterchio ; Moorman ; Steingart ; Chien ), but recall of prescription drugs varies according to the type of drug, the frequency of use, time since medication use, and education level (Saunders ; West ). Compared to pharmacy data, antidepressant use is substantially under-reported (Boudreau ). A study comparing self-reported use of antihypertensives, statins, and antidepressants with pharmacy data found higher agreement for antihypertensives and statins than for antidepressant medications. Antidepressant use was recalled only 62% of the time within 6 months prior to reference date, compared to 94% for antihypertensive use (Boudreau ). In addition, recall of names and dose of medication is relatively low (West ) and the percentage missing timing of use is relatively high (Boudreau ). One strength of this study is the use of the GHC pharmacy records. Advantages of using administrative pharmacy records include having information available for all subjects (not only respondents), no under-reporting of use, no recall bias, and very complete information on drug name, dose, and timing of use. As most studies that use pharmacy databases to assess medication exposure have limited information on potential confounding factors (Wang ; Sharpe ; Gonzalez-Perez and Garcia Rodriguez, 2005; Haque ), another important strength of the current study is the availability of breast cancer risk factor data. One potential weakness of this study is the possibility that some women may have been prescribed antidepressants that were not included in the GHC pharmacy database. Prescriptions that were filled prior to the initiation of the pharmacy database in 1977, prior to enrollment in GHC, or filled out of the GHC system were not captured in the pharmacy databases. However, the number of antidepressants prescriptions filled outside the GHC system is likely to be small because antidepressant prescriptions were available free or with a small copayment for many GHC members. Further, others have reported that over 95% of prescriptions for antidepressants among GHC members are filled at a GHC pharmacy (Saunders ). While we could not identify antidepressant use prior to GHC membership, we conducted subset analyses among women with at least 10 years of pharmacy data to ensure more complete history of antidepressant use. Over 70% of the subjects in this study were enrolled for more than 10 years as of their reference date and the conclusions based on this restricted sample were unchanged. Another potential limitation of this study is a relatively short follow-up time for paroxetine exposure. Paroxetine was on the market in the United States in 1993, but because it was not a preferred drug in the GHC formulary, it was not used often within GHC until 1997. As a result, fewer subjects in this study population had ever used paroxetine and the duration of use was shorter than what would be expected in the general population during the same time period. Overall, the results from this and other epidemiologic studies do not provide evidence for an increased risk of breast cancer associated with the use of antidepressants overall, by class of drug, or for individual antidepressants. Although a few studies have reported elevated risks in select analyses, the findings have not been consistent by class of drug, type of individual drug, or timing of use. The lack of consistency across studies suggests that any observed elevated risks could be due to chance. If there were a causal relationship, breast cancer risk would likely increase with longer duration of exposure. A few studies have reported elevated risks in longer-term users of some agents (Cotterchio ; Moorman ), but the class has differed. Overall, risk of breast cancer has not varied in any systematic pattern by timing of antidepressant use. As SSRIs have only been available in the relatively recent past, we cannot rule out the possibility of an effect with longer duration or longer time since first use, but the accumulating evidence does not suggest an association.
  26 in total

1.  Antidepressant medication use and breast cancer risk.

Authors:  M Cotterchio; N Kreiger; G Darlington; A Steingart
Journal:  Am J Epidemiol       Date:  2000-05-15       Impact factor: 4.897

2.  Plasma prolactin levels and subsequent risk of breast cancer in postmenopausal women.

Authors:  S E Hankinson; W C Willett; D S Michaud; J E Manson; G A Colditz; C Longcope; B Rosner; F E Speizer
Journal:  J Natl Cancer Inst       Date:  1999-04-07       Impact factor: 13.506

3.  Breast cancer risk in a large cohort of female antidepressant medication users.

Authors:  Reina Haque; Shelley M Enger; Wansu Chen; Diana B Petitti
Journal:  Cancer Lett       Date:  2005-04-18       Impact factor: 8.679

4.  Revisions in the risk-based Breast Cancer Screening Program at Group Health Cooperative.

Authors:  S H Taplin; R S Thompson; F Schnitzer; C Anderman; V Immanuel
Journal:  Cancer       Date:  1990-08-15       Impact factor: 6.860

5.  Plasma prolactin concentrations and risk of postmenopausal breast cancer.

Authors:  Shelley S Tworoger; A Heather Eliassen; Bernard Rosner; Patrick Sluss; Susan E Hankinson
Journal:  Cancer Res       Date:  2004-09-15       Impact factor: 12.701

Review 6.  From galactorrhea to osteopenia: rethinking serotonin-prolactin interactions.

Authors:  Ana B F Emiliano; Julie L Fudge
Journal:  Neuropsychopharmacology       Date:  2004-05       Impact factor: 7.853

7.  National Patterns of Medication Treatment for Depression, 1987 to 2001.

Authors:  Randall S. Stafford; Ellen A. MacDonald; Stan N. Finkelstein
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2001-12

8.  Trends in Prescribing of Selective Serotonin Reuptake Inhibitors and Other Newer Antidepressant Agents in Adult Primary Care.

Authors:  Paul A. Pirraglia; Randall S. Stafford; Daniel E. Singer
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2003-08

9.  Recall accuracy for prescription medications: self-report compared with database information.

Authors:  S L West; D A Savitz; G Koch; B L Strom; H A Guess; A Hartzema
Journal:  Am J Epidemiol       Date:  1995-11-15       Impact factor: 4.897

10.  Epidemiology of in situ and invasive breast cancer in women aged under 45.

Authors:  H A Weiss; L A Brinton; D Brogan; R J Coates; M D Gammon; K E Malone; J B Schoenberg; C A Swanson
Journal:  Br J Cancer       Date:  1996-05       Impact factor: 7.640

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  14 in total

Review 1.  Antidepressant use in ambulatory cancer patients.

Authors:  H Florence Kim; Michael J Fisch
Journal:  Curr Oncol Rep       Date:  2006-07       Impact factor: 5.075

Review 2.  Paroxetine-The Antidepressant from Hell? Probably Not, But Caution Required.

Authors:  Robert M Nevels; Samuel T Gontkovsky; Bryman E Williams
Journal:  Psychopharmacol Bull       Date:  2016-03-01

3.  Depression, Antidepressant Use, and Breast Cancer Risk in Pre- and Postmenopausal Women: A Prospective Cohort Study.

Authors:  Katherine W Reeves; Olivia I Okereke; Jing Qian; Rulla M Tamimi; A Heather Eliassen; Susan E Hankinson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-12-20       Impact factor: 4.254

4.  Depression, Antidepressant Use, and Postmenopausal Breast Cancer Risk.

Authors:  Susan B Brown; Susan E Hankinson; Kathleen F Arcaro; Jing Qian; Katherine W Reeves
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-11-17       Impact factor: 4.254

Review 5.  Antidepressants and breast and ovarian cancer risk: a review of the literature and researchers' financial associations with industry.

Authors:  Lisa Cosgrove; Ling Shi; David E Creasey; Maria Anaya-McKivergan; Jessica A Myers; Krista F Huybrechts
Journal:  PLoS One       Date:  2011-04-06       Impact factor: 3.240

6.  Risk of non-Hodgkin lymphoma in relation to tricyclic antidepressant use.

Authors:  Sarah J Lowry; Jessica Chubak; Oliver W Press; Barbara McKnight; Noel S Weiss
Journal:  Ann Epidemiol       Date:  2013-06       Impact factor: 3.797

7.  Antidepressant medication use and breast cancer risk.

Authors:  Karen J Wernli; John M Hampton; Amy Trentham-Dietz; Polly A Newcomb
Journal:  Pharmacoepidemiol Drug Saf       Date:  2009-04       Impact factor: 2.890

Review 8.  Prolactin and breast cancer etiology: an epidemiologic perspective.

Authors:  Shelley S Tworoger; Susan E Hankinson
Journal:  J Mammary Gland Biol Neoplasia       Date:  2008-02-02       Impact factor: 2.673

9.  Breast cancer recurrence risk in relation to antidepressant use after diagnosis.

Authors:  Jessica Chubak; Diana S M Buist; Denise M Boudreau; Mary Anne Rossing; Thomas Lumley; Noel S Weiss
Journal:  Breast Cancer Res Treat       Date:  2007-12-06       Impact factor: 4.872

10.  Association between antidepressant use and second breast cancer event after ductal carcinoma in situ diagnosis: a nested case-control study.

Authors:  Elizabeth T Mansi; Kathleen E Malone; Mei-Tzu Tang; Nicole C Loroña; Christopher I Li
Journal:  Cancer Causes Control       Date:  2022-01-21       Impact factor: 2.506

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