Abstract
Purpose
The role of established breast cancer risk factors and clinical characteristics of the first breast cancer in the development of contralateral breast cancer (CBC) among postmenopausal women is unclear.
Methods
We identified 10,934 postmenopausal women diagnosed with a first primary breast cancer between 1995 and 2011 in the NIH-AARP Diet and Health Study. CBC was defined as a second primary breast cancer diagnosed in the contralateral breast ≥ 3 months after the first breast cancer. Exposures included pre-diagnosis risk factors (lifestyle, reproductive, family history) and clinical characteristics of the first breast cancer. We used multivariable Cox proportional hazards regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).
Results
Over a median follow-up of 6.8 years, 436 women developed CBC. We observed an increasing trend in CBC risk by age (p-trend = 0.002) and decreasing trend by year of diagnosis (p-trend = 0.001) of the first breast cancer. Additional risk factor associations were most pronounced for endocrine therapy (HR 0.68, 95% CI 0.53–0.87) and family history of breast cancer (HR 1.38, 95% CI 1.06–1.80, restricted to invasive first breast cancer). No associations were found for lifestyle (body mass index, physical activity, smoking, alcohol) or reproductive factors (age at menarche, parity, age at first birth, age at menopause).
Conclusions
This study suggests that clinical characteristics of the first breast cancer and family history of breast cancer, but not pre-diagnosis lifestyle and reproductive factors, are strongly associated with CBC risk among postmenopausal women. Future studies are needed to understand how these factors contribute to CBC etiology and to identify further opportunities for prevention.
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Introduction
As breast cancer survival has improved over time due to early detection and advances in treatment, there are a growing number of breast cancer survivors at risk of developing contralateral breast cancer (CBC) [1]. Previous studies have found that breast cancer survivors have a two- to six-fold higher risk of developing cancer in the contralateral breast when compared to that expected in the general population [2, 3]. An elevated risk of CBC may be due to shared factors between the first and second primary breast cancer, including lifestyle and reproductive characteristics, as well as treatment-related factors from the first primary cancer [4].
Previous studies on the association between breast cancer risk factors, including lifestyle, reproductive, and family history, and the development of CBC, have been primarily conducted among premenopausal women (age < 55 years) [5,6,7,8,9,10,11,12,13,14,15]. Limited data are available on breast cancer risk factors and CBC risk among postmenopausal women [16,17,18,19,20]. Furthermore, although clinical characteristics of the first breast cancer have been studied in relation to CBC risk [21,22,23,24,25,26,27,28], whether these characteristics act independently of lifestyle and reproductive factors on CBC risk remains unclear.
The NIH-AARP Diet and Health study, a prospective cohort study among US adults aged 50 years and older, provides a unique opportunity to extend our knowledge on breast cancer risk factors and clinical characteristics and their impact on CBC risk among postmenopausal breast cancer survivors.
Methods
Study population
The NIH-AARP Diet and Health study started in 1995–1996 when 566,398 members of the AARP (formerly known as the American Association of Retired Persons) completed a self-administered baseline questionnaire to collect information on demographic and cancer risk factors including lifestyle, reproductive, and family history data [29]. Further details on the NIH-AARP Diet and Health study have been previously described [29]. Briefly, participants were aged 50 to 71 years and resided in 6 US states (California, Florida, Pennsylvania, New Jersey, North Carolina, and Louisiana) and two metropolitan areas (Atlanta, Georgia and Detroit, Michigan).
Analytic population
For the present analysis, we identified 14,317 participants without a breast cancer diagnosis prior to baseline and who developed an incident first primary breast cancer during follow-up (through 31st December 2011). Participants diagnosed with a first primary breast cancer with unknown laterality (n = 65) or first primary bilateral breast cancer (n = 4) were excluded. We further excluded participants who completed baseline questionnaires by proxy (n = 59), male breast cancer patients (n = 262), women who had a self-reported personal history of any cancer (except non-melanoma skin cancer) at baseline (n = 698), premenopausal women (n = 875), women diagnosed with a first distant stage breast cancer (n = 307) or unknown stage breast cancer (n = 249), women with contralateral prophylactic mastectomies as part of their initial treatment for first breast cancer (n = 257), and women with < 3 months of follow-up (n = 607). These exclusions resulted in a final analytic population of 10,934 postmenopausal women diagnosed with a first primary breast cancer.
Assessment of breast cancer risk factors
Lifestyle and reproductive factors were self-reported on the baseline questionnaire prior to the first breast cancer diagnosis (i.e., pre-diagnosis). Lifestyle factors included body mass index (BMI) (< 25 kg/m2, 25–< 30 kg/m2, and ≥ 30 kg/m2, missing), frequency of vigorous physical activity defined as exercise for ≥ 20 min that caused an increase in breathing or heart rate, or worked up a sweat (< 1 time/week, 1–2 times/week, 3–4 times/week ≥ 5 times/week, missing), smoking status (never, former, current, missing), and alcohol consumption (none, ≤ 10 g/day, > 10–< 20 g/day, ≥ 20 g/day, missing). Reproductive factors were age at menarche (≤ 12 years, 13–14 years, ≥ 15 years, missing), parity (nulliparous, 1 child, 2 children, ≥ 3 children, missing), age at first birth (nulliparous, < 20 years, 20–24 years, 25–29 years, ≥ 30 years, missing), and age at menopause (< 45 years, 45–49 years, 50–54 years, ≥ 55 years, missing). We also assessed self-reported family history of cancer (except basal-cell skin cancer) in a first-degree relative (yes, no, missing) and family history of breast cancer in a first-degree female relative (yes, no, missing).
Ascertainment of incident cancer and clinical cancer characteristics
Incident in situ and invasive breast cancer diagnoses were identified via linkage to the cancer registries in the study areas and several adjacent states (Texas, Arizona, and Nevada) through 31st December 2011 [30]. Contralateral breast cancer was defined as a second primary breast cancer (in situ or invasive) diagnosed in the contralateral breast at least 3 months after the first primary breast cancer diagnosis. The first 3 months of follow-up was excluded to reduce potential misclassification of CBC as metastases that occurred after diagnosis or undetected synchronous bilateral breast cancer [4]. Information on clinical characteristics was captured from cancer registries and included calendar year of diagnosis (1995–1999, 2000–2004, 2005–2011), age at diagnosis (50–< 60, 60–< 65, 65–< 70, 70–< 75, ≥ 75 years), tumor histology (ductal, lobular, mixed, other, unknown), tumor grade (well differentiated, moderately differentiated, poorly differentiated/undifferentiated, unknown), disease stage (in situ, localized, regional), and estrogen receptor (ER) status (positive, negative, unknown). ER status was examined among invasive tumors only and restricted to a subgroup that excluded registry data from the Florida, Pennsylvania, and Texas cancer registries due to under-ascertainment of ER status in those registries. Information on human epidermal growth factor receptor 2 (HER2) was not routinely collected during the study period. First course of treatment including radiotherapy (yes, no, unknown), chemotherapy (yes, no, unknown), and endocrine therapy (yes, no, unknown) was ascertained from cancer registry records. Surgery conducted as part of the first course of treatment was categorized as none, breast conserving, unilateral mastectomy, or unknown.
Statistical analysis
We used Cox proportional hazards regression to calculate age- and multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for CBC risk by breast cancer risk factors and clinical characteristics of the first breast cancer. Time since diagnosis was the underlying time metric. Follow-up started 3 months after the date of first primary breast cancer diagnosis until the date of second primary cancer diagnosis, date of death, lost to follow-up, or end of study (31st December 2011), whichever came first.
In initial multivariable models, we mutually adjusted for clinical characteristics of the first breast cancer, including age at diagnosis, calendar year of diagnosis, tumor stage, histology, ER status, first course of treatment, and family history of breast cancer. In the main multivariable models, we additionally adjusted for lifestyle and reproductive breast cancer risk factors, including BMI, physical activity, smoking status, alcohol consumption, age at menarche, parity, age at first birth, age at menopause, and menopausal hormone therapy. We present the main multivariable models in the text. We used Schoenfeld residuals to assess the proportional hazards assumption and did not find any violations of this assumption. p for trends were estimated from the Wald test using an ordinal variable.
In sensitivity analyses, we conducted analyses among subgroups of women diagnosed with (1) a first invasive breast cancer (n = 8,776) and (2) a first invasive ER-positive breast cancer (n = 4,124) as risk factors may differ among these subgroups. For lifestyle exposures, we further restricted analyses to women diagnosed with a first primary breast cancer within 5 years of the baseline questionnaire (n = 3,851) since these factors may change over time and updated questionnaire data at the time of first breast cancer diagnosis were not available. We also restricted analyses within 5 years of the first breast cancer diagnosis so that follow-up time was the same across calendar periods when examining year of diagnosis and CBC risk. Given that age is such a strong confounder, we conducted analyses using attained age as the underlying time scale; however, results were largely similar, and therefore, we present results using time since diagnosis as it is a more clinically meaningful metric. Since contralateral prophylactic mastectomies may have been misclassified as unknown for surgery type, we also conducted sensitivity analyses excluding women with unknown surgery (type or laterality) (n = 882). However, we did not exclude these women from our analytic population as rates of contralateral prophylactic mastectomy were relatively low among older postmenopausal women during this time period (1.9–4.7%) [31] and results were unchanged in sensitivity analyses. Finally, we estimated subdistribution hazard ratios with Fine and Gray regression to account for the competing risk of death [32].
p-values were based on 2-sided tests and a p-value < 0.05 was considered statistically significant. Analyses were conducted using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA) and Stata version 16 (StataCorp LP, College Station, TX, USA).
Results
Patient characteristics
Among 10,934 postmenopausal women diagnosed with a first primary breast cancer (20% in situ, 80% invasive), the mean age at first breast cancer diagnosis was 69.4 years, and women were primarily diagnosed with invasive and ER-positive breast cancer (Table 1). Approximately, 44% of women had known receipt of radiotherapy, 17% received chemotherapy, and 32% were reported to receive endocrine therapy for the first breast cancer. The distribution for pre-diagnosis lifestyle, reproductive, and family history factors are presented in Supplementary Table 1.
A total of 436 women developed CBC during 6.8 median years of follow-up (range 0.3–16.1 years). The mean age at CBC diagnosis was 72.8 years and women primarily developed invasive and ER-positive CBC (Supplementary Table 2). The median time from the first breast cancer to the development of CBC was 4.2 years (range 0.3–14.3 years). A total of 1,344 women were censored due to death and 36% of these deaths were due to breast cancer (n = 484).
Lifestyle and reproductive factors and CBC risk
Overall, lifestyle and reproductive risk factors captured prior to the first breast cancer were not statistically significantly associated with CBC risk (Tables 2, 3). HRs were slightly elevated for higher BMI (overweight vs. normal: HR 1.15, 95% CI 0.92–1.44; obese vs. normal: HR 1.20, 95% CI 0.92–1.55; p-trend = 0.12) and among current and former smokers compared with non-smokers (current smokers: HR 1.19, 95% CI 0.87–1.61; former smokers: HR 1.16, 95% CI 0.94–1.43). Higher levels of physical activity were associated with a lower risk of CBC (physical activity ≥ 5 times/week vs. < 1 time/week: HR 0.93, 95% CI 0.69–1.23; p-trend = 0.35). No association was observed between alcohol intake and CBC risk. Results for lifestyle factors were similar, but attenuated for some associations, among women whose first breast cancer was diagnosed within 5 years of the baseline questionnaire (Supplementary Table 3). Reproductive factors, including age at menarche, parity, and age at menopause, were not associated with CBC risk (Table 3). Similar findings for lifestyle and reproductive factors were observed when restricted to women diagnosed with a first invasive breast cancer or invasive ER-positive breast cancer, although some risk factors showed stronger associations with CBC risk (Supplementary Table 4). Results accounting for the competing risk of death were similar (Supplementary Table 5).
Clinical factors of the first breast cancer and CBC risk
Associations for clinical characteristics of the first primary breast cancer and CBC risk are shown in Table 4. We observed a significant increasing trend in CBC risk with older age at first breast cancer diagnosis (p-trend = 0.002). CBC risk was highest in women aged ≥ 75 years at first breast cancer diagnosis relative to those aged 50–< 60 years (HR 2.28, 95% CI 1.40–3.71). Additionally, CBC risk declined by calendar year of first breast cancer diagnosis (2000–2004 vs. 1995–1999: HR 0.81, 95% CI 0.64–1.02; 2005–2011 vs. 1995–1999: HR 0.55, 95% CI 0.38–0.78; p-trend = 0.001). Results were similar when restricted to ≤ 5 years since first breast cancer diagnosis (2000–2004: HR 0.76, 95% CI 0.56–1.02; 2005–2011: HR 0.46, 95% CI 0.30–0.69; p-trend < 0.001). Compared to women diagnosed with a first in situ breast cancer, those diagnosed with localized or regional tumors had a significantly lower risk of developing CBC (HR 0.72, 95% CI 0.56–0.91; HR 0.65, 95% CI 0.46–0.92, respectively). Associations between stage and CBC risk did not differ when stratified by receipt of initial treatment (Supplementary Table 6). Women who received endocrine therapy had a 32% significantly lower risk of CBC compared to women without endocrine therapy (HR 0.68, 95% CI 0.53–0.87). Risk of CBC was higher in women diagnosed with a first ER-negative tumor compared to ER-positive tumor (HR 1.50, 95% CI 1.02–2.20). We found no statistically significant associations for first breast cancer grade, histology, radiotherapy, and chemotherapy. Results were generally similar, but also slightly stronger, when models were restricted to women diagnosed with a first invasive breast cancer or invasive ER-positive breast cancer (Supplementary Table 7). Subdistribution HRs for associations between first breast cancer characteristics and CBC risk were slightly attenuated (Supplementary Table 8).
Family history of cancer and CBC risk
Family history of breast cancer in a first-degree female relative was associated with a statistically significant higher risk of CBC, particularly among women diagnosed with a first invasive breast cancer (HR 1.38, 95% CI 1.06–1.80) (Table 5). Results were similar but slightly attenuated when restricted to first invasive ER-positive cancer (data not shown). A history of any cancer in a first-degree relative was not associated with CBC risk. Results for family history of cancer or breast cancer and CBC risk were unchanged after accounting for the competing risk of death (Supplementary Table 9).
Discussion
In this prospective study of postmenopausal breast cancer survivors in the NIH-AARP Diet and Health Study, we found that clinical characteristics of the first breast cancer, including earlier calendar year of diagnosis, older age, lower stage, negative ER status, and absence of endocrine therapy, were associated with an increased risk of CBC. Whereas most pre-diagnosis lifestyle and reproductive factors were not associated with CBC risk, a family history of breast cancer in a first-degree female relative was associated with an increased risk of CBC, particularly for those whose first breast cancer was invasive. These findings suggest that clinical characteristics of the first breast cancer and family history of breast cancer may play a larger role than pre-diagnosis lifestyle and reproductive factors in the development of CBC among postmenopausal women.
Although we found no clear associations for pre-diagnosis lifestyle and reproductive factors with CBC risk in this study, previous research has been inconsistent and primarily conducted among case–control studies of younger and premenopausal breast cancer patients. Prior studies have found that obesity [14, 16, 17], weight gain [7], alcohol use [6, 12, 17], and current smoking [6, 17] were associated with increased CBC risk while other studies have found no overall association for these lifestyle factors [10, 15, 20]. For reproductive factors, older age at menarche [8, 11, 13] and higher parity [8, 11, 13, 18, 19] have been associated with a decreased risk of CBC. A potential modest association has also been reported for age at first birth [8, 18]. Supporting some of these findings, a recent meta-analysis [33] found that higher BMI (≥ 25 vs. < 25 kg/m2: HR 1.22, 95% CI 1.01–1.47), alcohol use (ever vs. never: HR 1.15, 95% CI 1.02–1.31), and older age at first birth (age ≥ 25 vs. < 25 years: HR 1.06, 95% CI 1.02–1.10) were suggestive of increased CBC risk, while higher parity was associated with a lower risk of CBC (≥ 4 full-term births vs. nulliparous: HR 0.56, 95% CI 0.42–0.76). However, results from this meta-analysis were limited in scope with only 2–5 studies per risk factors and conducted primarily among younger and premenopausal women. In our study, it is possible that any associations between lifestyle or reproductive factors and CBC risk in postmenopausal breast cancer survivors may be modest and we therefore may have been underpowered to detect these smaller effects. Although we observed no statistically significant associations between lifestyle and reproductive factors and CBC risk, the direction of associations in our study, particularly for BMI, were largely consistent with prior studies. Future larger studies among postmenopausal breast cancer survivors are needed to confirm our findings and to further examine whether associations between lifestyle and reproductive factors may vary by characteristics of CBC (e.g., ER status).
Clinical characteristics for the first breast cancer, including age, stage and year of diagnosis, ER status, and receipt of endocrine therapy, were the strongest factors for developing CBC in this study. These associations remained after accounting for pre-diagnosis lifestyle and reproductive factors, and family history of breast cancer. Interestingly, we reported an increased risk of CBC associated with older age at first breast cancer diagnosis, and this association remained when we used attained age as the time scale and when we accounted for the competing risk of death. Previous studies on age at first diagnosis [2, 14, 15, 18, 20] have been inconsistent, although several have found that younger age is associated with a higher risk of developing CBC [2, 14, 18]. Our study, however, is the first to examine age at diagnosis among postmenopausal women aged 50 years and older, and further studies are needed to confirm this finding. We also observed a significant decreased risk of CBC after an invasive tumor relative to an in situ tumor. Although this finding is surprising, it is possible that women diagnosed with invasive tumors may have been more likely to receive treatment that significantly reduced the risk of CBC compared to those with a first in situ tumor. However, we were unable to confirm this hypothesis and further studies with more detailed treatment are needed to evaluate and characterize these findings.
In our study, a decline in CBC risk among women treated in more recent calendar periods is consistent with advances in treatment for the first breast cancer, such as the widespread uptake of tamoxifen therapy and the introduction and uptake of aromatase inhibitors for postmenopausal women. However, it is possible that there is residual confounding as we still observed a significant decline in risk after adjustment for receipt of initial treatment, including endocrine therapy. Both clinical trials [34, 35] and observational studies [36, 37] have shown that endocrine therapy significantly reduces the risk of CBC via estrogen suppression. Supporting these findings, we also observed that women treated with endocrine therapy had a significantly lower risk of developing CBC relative to those without endocrine therapy and that women with a first invasive ER-negative tumor had a significantly higher risk of CBC compared to those diagnosed with an invasive ER-positive tumor.
Consistent with previous literature [2, 5, 18,19,20, 38, 39] our study found that family history of breast cancer in a first-degree relative was a significant risk factor for CBC, particularly among those diagnosed with a first invasive breast cancer. Interestingly, prior studies have found that breast cancer family history remained a significant risk factor even after excluding women with known deleterious mutations (e.g., BRCA1/2) [5, 39]. This suggests that other genetic susceptibility loci and/or gene–environment interactions may play a role in CBC risk [5].
Our findings should be considered within the context of the strengths and limitations of this study. The NIH-AARP Diet and Health Study represents a distinctive opportunity to prospectively examine pre-diagnosis breast cancer risk factors for CBC among a large cohort of postmenopausal breast cancer survivors. Furthermore, although lifestyle and reproductive factors were self-reported, they were ascertained prior to the first breast cancer and therefore not susceptible to recall bias. Our study examined pre-diagnosis lifestyle factors at enrollment into the NIH-AARP cohort, and it is possible that these factors may change over time. However, we observed similar yet attenuated patterns of association for lifestyle factors when restricted to women who were diagnosed with a first breast cancer within 5 years of enrollment into the NIH-AARP cohort. Attenuation of these results is likely due to the smaller sample size. Finally, our study utilized cancer registry data for first breast cancer treatment and therefore was limited to the first course of treatment and susceptible to under-ascertainment. Additionally, data on recurrences and subsequent treatment were not available. Future studies on CBC risk among postmenopausal breast cancer patients with comprehensive and detailed treatment are needed.
In summary, our findings suggest that clinical characteristics of the first breast cancer and family history of breast cancer, but not pre-diagnosis lifestyle and reproductive factors, were significantly associated with CBC risk among postmenopausal breast cancer survivors in the NIH-AARP Diet and Health Study. These findings provide potential insight on the etiology of CBC in postmenopausal women and underlie the importance of treatment, particularly endocrine therapy, to reduce the risk of CBC. Further analyses are warranted to improve understanding of how these clinical characteristics and breast cancer family history contribute to the etiology of CBC and to identify possible prevention opportunities for CBC, which remains the most common cancer diagnosis in breast cancer survivors.
Data availability
The datasets analyzed during the current study were obtained from the NIH-AARP Diet and Health Study at the National Cancer Institute. The data used in this study are available with the submission of a proposal and approval from the NIH-AARP Steering Committee (https://dietandhealth.cancer.gov/).
Code availability
Code is available upon request.
References
American Cancer Society (2019) Cancer treatment & survivorship facts & figures 2019–2021. American Cancer Society, Atlanta
Chen Y, Thompson W, Semenciw R et al (1999) Epidemiology of contralateral breast cancer. Cancer Epidemiol Biomark Prev 8(10):855–861
Ramin C, Withrow DR, Davis Lynn BC et al (2021) Risk of contralateral breast cancer according to first breast cancer characteristics among women in the USA, 1992–2016. Breast Cancer Res 23:24
Curtis RE, Freeman DM, Ron E et al (Eds) (2006) New malignancies among cancer survivors: SEER Cancer Registries, 1973–2000. Volume Publication Number 05–5302 National Cancer Institute, NIH, Bethesda, MD
Reiner AS, Sisti J, John EM et al (2018) Breast cancer family history and contralateral breast cancer risk in young women: an update from the Women’s Environmental Cancer and Radiation Epidemiology study. J Clin Oncol 36(15):1513–1520
Knight JA, Fan J, Malone KE et al (2017) Alcohol consumption and cigarette smoking in combination: a predictor of contralateral breast cancer risk in the WECARE study. Int J Cancer 141(5):916–924
Brooks JD, John EM, Mellemkjær L et al (2016) Body mass index, weight change, and risk of second primary breast cancer in the WECARE study: influence of estrogen receptor status of the first breast cancer. Cancer Med 5(11):3282–3291
Sisti JS, Bernstein JL, Lynch CF et al (2015) Reproductive factors, tumor estrogen receptor status and contralateral breast cancer risk: results from the WECARE study. Springerplus 4(1):825
Brooks JD, Boice JD, Stovall M et al (2012) Reproductive status at first diagnosis influences risk of radiation-induced second primary contralateral breast cancer in the WECARE study. Int J Radiat Oncol Biol Phys 84(4):917–924
Brooks JD, John EM, Mellemkjær L et al (2012) Body mass index and risk of second primary breast cancer: the WECARE Study. Breast Cancer Res Treat 131:571–580
Poynter JN, Langholz B, Largent J et al (2010) Reproductive factors and risk of contralateral breast cancer by BRCA1 and BRCA2 mutation status: results from the WECARE study. Cancer Causes Control 21(6):839–846
Knight JA, Bernstein L, Largent J et al (2009) Alcohol intake and cigarette smoking and risk of a contralateral breast cancer: the Women’s Environmental Cancer and Radiation Epidemiology Study. Am J Epidemiol 169(8):962–968
Largent JA, Capanu M, Bernstein L et al (2007) Reproductive history and risk of second primary breast cancer: the WECARE Study. Cancer Epidemiol Biomark Prev 16(5):906–911
Li CI, Malone KE, Porter PL et al (2003) Epidemiologic and molecular risk factors for contralateral breast cancer among young women. Br J Cancer 89(3):513–518
Bernstein JL, Thompson WD, Risch N et al (1992) Risk factors predicting the incidence of second primary breast cancer among women diagnosed with a first primary breast cancer. Am J Epidemiol 136(8):925–936
Majed B, Dozol A, Ribassin-Majed L et al (2011) Increased risk of contralateral breast cancers among overweight and obese women: a time-dependent association. Breast Cancer Res Treat 126(3):729–738
Li CI, Daling JR, Porter PL et al (2009) Relationship between potentially modifiable lifestyle factors and risk of second primary contralateral breast cancer among women diagnosed with estrogen receptor–positive invasive breast cancer. J Clin Oncol 27(32):5312–5318
Vaittinen P, Hemminki K (2000) Risk factors and age-incidence relationships for contralateral breast cancer. Int J Cancer 88(6):998–1002
Cook LS, White E, Schwartz SM et al (1996) A population-based study of contralateral breast cancer following a first primary breast cancer (Washington, United States). Cancer Causes Control 7(3):382–390
Horn PL, Thompson WD (1988) Risk of contralateral breast cancer: associations with factors related to initial breast cancer. Am J Epidemiol 128(2):309–323
Bertelsen L, Bernstein L, Olsen JH et al (2008) Effect of systemic adjuvant treatment on risk for contralateral breast cancer in the Women’s Environment, Cancer and Radiation Epidemiology study. J Natl Cancer Inst 100(1):32–40
Boice JD, Harvey EB, Blettner M et al (1992) Cancer in the contralateral breast after radiotherapy for breast cancer. N Engl J Med 326(12):781–785
Bouchardy C, Benhamou S, Fioretta G et al (2011) Risk of second breast cancer according to estrogen receptor status and family history. Breast Cancer Res Treat 127(1):233–241
Kurian AW, McClure LA, John EM et al (2009) Second primary breast cancer occurrence according to hormone receptor status. J Natl Cancer Inst 101(15):1058–1065
Langballe R, Mellemkjær L, Malone KE et al (2016) Systemic therapy for breast cancer and risk of subsequent contralateral breast cancer in the WECARE Study. Breast Cancer Res 18(1):65
Reiner AS, Lynch CF, Sisti JS et al (2017) Hormone receptor status of a first primary breast cancer predicts contralateral breast cancer risk in the WECARE study population. Breast Cancer Res 19(1):83
Saltzman BS, Malone KE, McDougall JA et al (2012) Estrogen receptor, progesterone receptor, and HER2-neu expression in first primary breast cancers and risk of second primary contralateral breast cancer. Breast Cancer Res Treat 135(3):849–855
Sandberg MEC, Hall P, Hartman M et al (2012) Estrogen receptor status in relation to risk of contralateral breast cancer–a population-based cohort study. PLoS ONE 7(10):e46535
Schatzkin A, Subar AF, Thompson FE et al (2001) Design and serendipity in establishing a large cohort with wide dietary intake distributions: the National Institutes of Health-American Association of Retired Persons Diet and Health Study. Am J Epidemiol 154(12):1119–1125
Michaud D, Midthune D, Hermansen S et al (2005) Comparison of cancer registry case ascertainment with SEER estimates and self-reporting in a subset of the NIH-AARP Diet and Health Study. J Registry Manage 32:70–75
Wong SM, Freedman RA, Sagara Y et al (2017) Growing use of contralateral prophylactic mastectomy despite no improvement in long-term survival for invasive breast cancer. Ann Surg 265:581–589
Fine JP, Gray RJ (1999) A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 94:496–509
Akdeniz DKM, Smith CZA, Koppert LB et al (2020) The impact of lifestyle and reproductive factors on the risk of a second new primary cancer in the contralateral breast: a systematic review and meta-analysis. Cancer Causes Control 31(5):403–416
Early Breast Cancer Trialists’ Collaborative Group (2011) Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials. Lancet 378(9793):771–784
Early Breast Cancer Trialists’ Collaborative Group (2015) Aromatase inhibitors versus tamoxifen in early breast cancer: patient-level meta-analysis of the randomised trials. Lancet 386(10001):1341–1352
Gierach GL, Curtis RE, Pfeiffer RM et al (2017) Association of adjuvant tamoxifen and aromatase inhibitor therapy with contralateral breast cancer risk among US women with breast cancer in a general community setting. JAMA Oncol 3(2):186–193
Kramer I, Schaapveld M, Oldenburg HSA et al (2019) The influence of adjuvant systemic regimens on contralateral breast cancer risk and receptor subtype. J Natl Cancer Inst 111(7):709–718
Bernstein JL, Thompson WD, Risch N et al (1992) The genetic epidemiology of second primary breast cancer. Am J Epidemiol 136(8):937–948
Reiner AS, John EM, Brooks JD et al (2013) Risk of asynchronous contralateral breast cancer in noncarriers of BRCA1 and BRCA2 mutations with a family history of breast cancer: A report from the Women’s Environmental Cancer and Radiation Epidemiology study. J Clin Oncol 31(4):433–439
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This study was funded by the Intramural Research Program of the National Cancer Institute at the National Institutes of Health. MM is funded by the Health Research Board in Ireland.
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CR, ABdG conceived and designed the study and conducted and reviewed statistical analysis. All authors substantially contributed to the preparation and critical review of the manuscript. All authors read and approved the final manuscript.
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The NIH-AARP Diet and Health Study (Protocol Number: OH95CN025) was approved by the Special Studies Institutional Review Board (SSIRB) of the US National Cancer Institute. This study was conducted in accordance with the ethical standards of the institutional review board and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
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Ramin, C., Mullooly, M., Schonfeld, S.J. et al. Risk factors for contralateral breast cancer in postmenopausal breast cancer survivors in the NIH-AARP Diet and Health Study. Cancer Causes Control 32, 803–813 (2021). https://doi.org/10.1007/s10552-021-01432-2
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DOI: https://doi.org/10.1007/s10552-021-01432-2