Skip to main content
JAMA Network logoLink to JAMA Network
. 2025 Jun 20;8(6):e2516468. doi: 10.1001/jamanetworkopen.2025.16468

Alzheimer Disease in Breast Cancer Survivors

Su-Min Jeong 1, Wonyoung Jung 2, Hyeonjin Cho 3, Hea Lim Choi 3,4, Keun Hye Jeon 5, Ki-Woong Nam 6, Yun-Gyoo Lee 7, Bongseong Kim 8, Kyungdo Han 9,, Dong Wook Shin 3,10,
PMCID: PMC12181787  PMID: 40540273

Key Points

Question

Is breast cancer survivorship associated with the risk of Alzheimer dementia (AD), and how are cancer treatments associated with this risk?

Findings

In this cohort study of 70 701 breast cancer survivors matched 1:3 with cancer-free controls, breast cancer survivors demonstrated a lower risk of AD compared with controls, particularly among those 65 years or older, although the lower risk did not persist beyond 5 years. Treatment with radiation therapy was associated with reduced AD risk.

Meaning

Breast cancer survivors may have a slightly lower risk of AD compared with cancer-free individuals, potentially influenced by cancer treatments, underscoring the need for further research on long-term neurocognitive outcomes in this population.


This cohort study investigates the risk of Alzheimer disease (AD) among breast cancer survivors compared with matched controls without a history of cancer and explores cancer treatment factors potentially associated with AD.

Abstract

Importance

Cancer-related cognitive impairment is a common concern after breast cancer treatment. However, the association between breast cancer survivorship and the risk of Alzheimer dementia (AD) remains unclear.

Objective

To evaluate the risk of AD among breast cancer survivors compared with cancer-free controls and examine the potential association of cancer treatments with AD risk.

Design, Setting, and Participants

This retrospective cohort study used data from the Korean National Health Insurance Service. A total of 70 701 patients who underwent breast cancer surgery between January 1, 2010, and December 31, 2016, were included and matched with cancer-free controls (1:3). Participants were followed up for a median (IQR) of 7.3 (5.7-9.0) years. Data analysis was performed from January 2024 to June 2024.

Exposures

Breast cancer diagnosis, surgery, and subsequent treatments, including anthracycline chemotherapy and radiation therapy.

Main Outcomes and Measures

The primary outcome was the incidence of AD. Subdistribution hazard ratios (SHRs) and 95% CIs were calculated using competing risk regression models, adjusting for sociodemographic factors and comorbidities.

Results

Among 70 701 breast cancer survivors (mean [SD] age, 53.1 [8.5] years), 1229 cases of AD were detected, with an incidence rate of 2.45 per 1000 person-years. Survivors exhibited a slightly lower risk of AD compared with cancer-free controls (SHR, 0.92; 95% CI, 0.86-0.98), especially among individuals 65 years or older (SHR, 0.92; 95% CI, 0.85-0.99). However, landmark analyses found that this lower risk did not persist beyond 5 years of survival. Cancer treatment with radiation therapy (adjusted HR, 0.77; 95% CI, 0.68-0.87) was associated with reduced risk of AD among survivors.

Conclusions and Relevance

This cohort study of breast cancer survivors found a lower risk of AD compared with cancer-free controls, despite common concerns about cognitive decline after treatment. The findings suggest certain cancer treatments potentially have benefits for lower AD risk. Further research is needed to assess the long-term risk of AD in this population.

Introduction

Breast cancer is the most common cancer among women worldwide, with more than 2.3 million new cases in 2022, accounting for 11.6% of all cancer cases globally.1 Survival rates for breast cancer have substantially improved, exceeding 93% for early-stage disease due to early detection and advances in treatment.2 This remarkable increase in survival has shifted the focus toward long-term health consequences and quality of life for breast cancer survivors, including cognitive function and risk of dementia.

A substantial number of breast cancer survivors report cancer-related cognitive impairment, experiencing difficulties in concentration and memory during and after cancer treatment.3 However, evidence regarding the risk of Alzheimer dementia (AD) among breast cancer survivors remains mixed and inconclusive and may vary by age at diagnosis, treatment received, and time since treatment (eTable 1 in Supplement 1). Early studies from Northern Italy and Denmark on the standardized incidence rate (SIR) of AD in patients with cancer reported a low incidence of AD in patients with cancer overall (SIR, 0.68; 95% CI, 0.34-1.00) and in breast cancer survivors specifically (SIR, 0.95; 95% CI, 0.91-1.00).4,5 In contrast, a Swedish study comparing 26 741 five-year breast cancer survivors and a cancer-free group found a 35% increased risk of AD among those who were diagnosed with cancer at an age older than 65 years (subdistribution hazard ratio [SHR], 1.35; 95% CI, 1.05-1.75) compared with those without cancer. This increased risk was not present in younger survivors (SHR, 1.04; 95% CI, 0.83-1.30), suggesting different associations by age at cancer diagnosis.6 In Asia, breast cancer is more commonly diagnosed in the premenopause period. A Taiwanese nationwide study reported no increase in the risk of AD compared with that of a cancer-free group (adjusted HR [AHR], 0.95; 95% CI, 0.86-1.04), and individuals receiving tamoxifen had a lower risk of dementia (AHR, 0.83; 95% CI, 0.69-0.98).7 A recent Korean population-based cohort study involving 15 407 breast cancer survivors older than 50 years revealed a marked decreased risk of dementia (of which 88% were classified as having AD) (HR, 0.091; 95% CI, 0.075-0.111) compared with that of control groups who had cataracts, and there was no risk difference associated with chemotherapy or endocrine therapy.8

Previous studies are limited by several methodologic issues. To our knowledge, no study has considered important risk factors, such as smoking, alcohol, physical activity, and body mass index.4,5,6,7,8 Only one study accounted for competing risk of death despite higher mortality compared with the general population.6 A Korean cohort study used matched controls with a history of cataracts,8 a condition that in itself might increase the risk of dementia, affecting the much lower risk of dementia observed among breast cancer survivors.9,10 In addition, the small study population and number of AD cases (approximately <1500 AD cases) in other studies might have hindered stratification analyses by treatment modality and various confounding factors.6,8 Therefore, we aimed to investigate the risk of AD among breast cancer survivors compared with matched controls without a history of cancer, exploring whether there was an association with cancer treatment using the Korean National Health Insurance Service (K-NHIS) database.

Methods

Data Source and Study Setting

The K-NHIS provides universal health insurance for 97% of the Korean population. This national health insurance is mandatory for all Korean citizens and medical facilities, and all medical facilities are reimbursed by the K-NHIS. The K-NHIS database includes information on sociodemographic variables (insurance premium and residential area), all medical claims that include diagnostic codes specified in the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), prescriptions, and procedures. In addition, the K-NHIS offers biennial national health screening programs for those aged 20 years or older to assess individual health status based on questionnaires on medical history and lifestyle behaviors (smoking, alcohol consumption, and physical activity), anthropometric measurements, and laboratory tests.11 This nationwide dataset has been widely used in various epidemiologic studies regarding dementia.12,13,14 This study was approved by the institutional review board of Samsung Medical Center. Due to the anonymized nature of the data, the requirement for informed consent from participants was waived by the institutional review board. This study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for cohort studies.

Study Population

Initially, 126 566 patients with breast cancer who had undergone related surgery within 1 year from breast cancer diagnosis between January 1, 2010, and December 31, 2016, were included. Among this population, we excluded those diagnosed with any other cancers before their breast cancer diagnosis (n = 5514; prior cancer diagnosis between January 1, 2002, and the date when breast cancer was diagnosed), those younger than 40 years (n = 13 396), those diagnosed with all-cause dementia between January 1, 2002, and cancer diagnosis (n = 690), and those with missing values (n = 2387). Ultimately, 100 905 patients with breast cancer were included. The control group was selected from among Korean women with no history of cancer, as determined from claims data between 2002 and 2016. Controls were matched to breast cancer survivors by age (1:3; n = 302 712), and the index date for the control group was assigned based on the diagnosis date of matched breast cancer survivors. Then individuals who underwent a health examination within 2 years prior to breast cancer diagnosis (n = 70 701) and their controls (n = 180 360) were included in final analysis to obtain information for covariates (Figure).

Figure. Flowchart of the Study Population.

Figure.

Identification of Breast Cancer Survivors

Breast cancer survivors were primarily identified based on the presence of ICD-10 code C50. In addition, a specialized claim code (V193) from the rare and intractable disease (RID) registration program was considered. Since 2005, the K-NHIS has used an RID registration program that reduces patient medical expenses to only 5% of the total costs related to cancer treatment. The specific code is assigned to patients only after a definitive diagnosis of breast cancer by a health professional. The accuracy of cancer diagnoses based on the RID registration program has been validated with sufficiently high sensitivity for breast cancer (98.1%).15

Study Outcomes and Follow-Up

The primary outcome of this study was the incidence of newly diagnosed AD. Newly diagnosed AD was defined based on at least 1 prescription for antidementia medications (donepezil, rivastigmine, galantamine, or memantine) under the relevant ICD-10 codes (F00 and G30) during the follow-up period.16 To be prescribed an antidementia medication under the K-NHIS, patients’ cognitive function needs to meet the following criteria: (1) Mini-Mental State Examination score of 26 or less and (2) either a Clinical Dementia Rating of 1 or greater or a Global Deterioration Scale score of 3 or greater.17 The participants were followed up until the date of AD diagnosis, the end of the follow-up period, December 31, 2020, or death, whichever came first.

Covariates

The participants in the lowest 25% of insurance premiums (a proxy of income status under the Korean Social Health Insurance System) were categorized as the lower-income group. Based on a self-reported questionnaire regarding health behaviors, smoking status (never or ex-smoker vs current smokers), alcohol consumption (nondrinkers vs drinkers), and physical activity status were classified. Alcohol consumption was assessed using the question, “How frequently have you consumed alcohol in the past year?” Participants were classified as nondrinkers if they answered, “No, I do not drink.” Physical activity status was evaluated based on the frequency and duration of exercise per session. Regular physical activity was defined as engaging in vigorous-intensity exercise for at least 20 minutes on 3 or more days per week or moderate-intensity exercise for at least 30 minutes on 5 or more days per week using a modified version of the International Physical Activity Questionnaire.18 Obesity was defined as body mass index of 25 or more (calculated as weight in kilograms divided by height in meters squared) using the Asian-Pacific criteria.

Comorbidities were assessed 1 year prior to the index date. The presence of comorbidities was determined by the combination of prescription(s), relevant diagnostic codes, and clinical measurements or laboratory tests as follows: diabetes (ICD-10 codes E11-E14 with antidiabetic medications or fasting glucose levels ≥126 mg/dL [to convert to millimoles per liter, multiply by 0.0555]), hypertension (ICD-10 codes I10-I13 and I15 with antihypertensive medications or blood pressure ≥140/90 mm Hg), dyslipidemia (ICD-10 code E78 with lipid-lowering medications or total cholesterol levels ≥240 mg/dL [to convert to millimoles per liter, multiply by 0.0259]), and chronic kidney disease (glomerular filtration rate <60 mL/min/1.73 m2 as estimated by the Modification of Diet in Renal Disease formula).

Information on breast cancer treatment was obtained from claims data within 1 year of diagnosis. Clinical guidelines recommend initiating adjuvant chemotherapy within 120 days of diagnosis,19 and in Korea, quality assessment indicators for cancer care include the initiation of adjuvant therapy within 8 weeks after surgery.20 Treatment with chemotherapy was defined by at least 1 cycle of chemotherapeutic agents (anthracycline, cyclophosphamide, fluorouracil, taxane, methotrexate, and cisplatin). Endocrine therapy included the use of tamoxifen and aromatase inhibitors (anastrozole, exemestane, and letrozole) as the initial prescription if there was switching to another hormonal therapy.21

Statistical Analysis

The baseline characteristics are depicted as mean (SD) and number (percentage) for continuous and categorical variables, respectively. The significance of differences in means and proportions was assessed by 2-tailed t tests and χ2 tests.

To estimate the risk of AD incidence considering death as a competing event, the Fine-Gray subdistribution hazard model was used to obtain SHRs and 95% CIs.22 The proportional hazards assumption was evaluated using the Schoenfeld residuals, and no significant violation was found. Subdistribution hazards across the groups were compared by using the Gray test (eFigure 1 in Supplement 1). In addition to a crude model (model 1), model 2 was adjusted for age, income levels, and residential location, and model 3 was additionally adjusted for body mass index, comorbidities (diabetes, hypertension, dyslipidemia, and chronic kidney disease) and health-related behaviors (smoking, alcohol consumption, and physical activity). Stratification analysis by age group (≤50, 51-64, and ≥65 years) was conducted to evaluate the different association(s) by age.

Landmark analyses, which included individuals who were event free at each of 3 time points (1, 3, and 5 years after breast cancer diagnosis), were conducted as a sensitivity analysis to estimate the risk of AD. This analysis allowed us to demonstrate the risk of AD according to survivor-years since cancer diagnosis. Among the breast cancer survivors, the risk factors for AD incidence were explored.

Statistical analyses were performed using SAS software, version 9.4 (SAS Institute Inc). A 2-sided P < .05 was considered statistically significant. Data analysis was performed from January 2024 to June 2024.

Results

Baseline Characteristics

Of the 70 701 breast cancer survivors (mean [SD] age, 53.1 [8.5] years), 1229 cases of AD were detected, with an incidence rate of 2.45 per 1000 person-years. The baseline characteristics of the study population are presented in Table 1. Breast cancer survivors tended to have more comorbidities, such as diabetes (4704 [6.7%] vs 11 571 [6.4%]), hypertension (15 633 [22.1%] vs 39 061 [21.7%]), and dyslipidemia (12 770 [18.1%] vs 31 463 [17.4%]), than did controls without cancer. In terms of cancer treatment, 50 681 breast cancer survivors (71.7%) underwent radiotherapy. Cyclophosphamide (40 144 [56.8%]) and anthracycline (35 441 [50.1%]) were the most commonly used chemotherapeutic agents (eTable 2 in Supplement 1). Of the breast cancer survivors, 33 232 (47.0%) and 21 240 (30.0%) were treated with tamoxifen and aromatase inhibitors, respectively.

Table 1. Baseline Characteristics of the Study Participants.

Characteristic No. (%)a P value
Control group (n = 180 360) Breast cancer group (n = 70 701)
Age, mean (SD), y 53.3 (8.5) 53.1 (8.5) <.001
Income status of lower 25% 44 180 (24.5) 16 355 (23.1) <.001
Urban location 83 525 (46.3) 35 223 (49.8) <.001
Current smoker 6115 (3.4) 2687 (3.8) <.001
Alcohol use 42 187 (23.4) 16 735 (23.7) .14
Regular physical activity 34 477 (19.1) 13 298 (18.8) .08
BMI, mean (SD) 23.7 (3.3) 23.7 (3.3) .04
BMI ≥25 54 961 (30.5) 21 863 (30.9) .03
Waist circumference (SD), cm 77.3 (8.6) 77.4 (8.6) .03
Comorbidity
Diabetes 11 571 (6.4) 4704 (6.7) .03
Hypertension 39 061 (21.7) 15 633 (22.1) .01
Dyslipidemia 31 463 (17.4) 12 770 (18.1) <.001
Chronic kidney disease 549 (0.3) 244 (0.4) .10

Abbreviation: BMI, body mass index (calculated as weight in kilograms divided by height in meters squared).

a

Unless otherwise indicated.

AD Risk Among Breast Cancer Survivors vs Matched Controls

During a median (IQR) of 7.3 (5.7-9.0) years of follow-up, 1229 and 3430 AD cases were detected among breast cancer survivors and cancer-free controls, with incidence rates of 2.45 and 2.63 (per 1000 person-years), respectively (Table 2). Breast cancer survivors had a lower risk of AD (SHR, 0.92; 95% CI, 0.86-0.98) than did controls. In stratification analysis, there was no significant interaction by age group; however, a significant association was noted in those aged 65 years or older (SHR, 0.92; 95% CI, 0.85-0.99) (eFigure 2 in Supplement 1).

Table 2. Adjusted SHRs for Risk of Alzheimer Disease in Breast Cancer Survivors Compared With the Control Group Without Cancer by Age Category.

Group No. of participants No. of cases Duration, person-years Incidence rate per 1000 person-years SHR (95% CI)
Model 1a Model 2b Model 3c
All ages
Control 180 360 3430 1 302 576.2 2.63 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 70 701 1229 500 740.4 2.45 0.90 (0.85-0.97) 0.93 (0.87-0.99) 0.92 (0.86-0.98)
Age ≤50 y
Control 77 202 92 562 696.8 0.16 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 31 441 33 225 902.1 0.15 0.87 (0.58-1.29) 0.88 (0.59-1.32) 0.88 (0.59-1.31)
Age 51 to ≤64 y
Control 81 707 914 589 079.0 1.55 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 31 197 326 219 782.7 1.48 0.93 (0.82-1.05) 0.94 (0.83-1.07) 0.93 (0.82-1.06)
Age ≥65 y
Control 21 451 2424 150 800.4 16.07 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 8063 870 55 055.6 15.80 0.94 (0.87-1.02) 0.93 (0.86-1.01) 0.92 (0.85-0.99)
P for interaction NA NA NA NA .90 .95 .96

Abbreviations: NA, not applicable; SHR, subdistribution hazard ratio.

a

Model 1: unadjusted.

b

Model 2: adjusted for age, income, and residential location.

c

Model 3: adjusted for age, income, residential location, body mass index, diabetes, hypertension, dyslipidemia, chronic kidney disease, smoking, alcohol consumption, and physical activity.

Treatment Factors and AD Risk Among Breast Cancer Survivors

When AD risk was analyzed by treatment modality, radiation therapy was associated with significantly lower risk (AHR, 0.77; 95% CI, 0.68-0.87). Anthracycline use was not associated with risk of AD (AHR, 0.86; 95% CI, 0.73-1.01). There was no association of treatment or AD with trastuzumab (AHR, 1.00; 95% CI 0.82-1.23), taxane (AHR, 1.08; 95% CI, 0.90-1.30), endocrine therapy (including those treated only with tamoxifen [AHR, 0.92; 95% CI, 0.78-1.09], aromatase inhibitor [AHR, 1.04; 95% CI, 0.90-1.20]), or combined tamoxifen and aromatase inhibitors (AHR, 1.09; 95% CI, 0.73-1.62) (Table 3).

Table 3. Factors Associated With Alzheimer Disease Among Breast Cancer Survivors.

Risk factor No. of participants No. of cases Duration, person-years Incidence ratio per 1000 person-years AHR (95% CI)a
Treatment
Anthracycline
No 35 260 860 249 237.4 3.45 1.0 [Reference]
Yes 35 441 369 251 503.0 1.47 0.86 (0.73-1.01)
Taxane
No 51 812 1029 372 044.6 2.77 1.0 [Reference]
Yes 18 889 200 128 695.8 1.55 1.08 (0.90-1.30)
Trastuzumab
No 60 460 1102 430 113.8 2.56 1.0 [Reference]
Yes 10 241 127 70 626.6 1.80 1.00 (0.82-1.23)
Endocrine therapy
No 17 927 346 124 723.7 2.77 1.0 [Reference]
Tamoxifen 31 534 277 228 755.1 1.21 0.92 (0.78-1.09)
Aromatase inhibitor 19 542 570 136 585.0 4.17 1.04 (0.90-1.20)
Both 1698 36 10 676.6 3.37 1.09 (0.73-1.62)
Radiation therapy
No 20 020 599 140 387.4 4.27 1 [Reference]
Yes 50 681 630 360 353.0 1.75 0.77 (0.68-0.87)
Other covariates
Residential location
Urban 35 223 580 250 454.6 2.32 1.0 [Reference]
Rural 35 478 649 250 285.8 2.59 1.10 (0.98-1.24)
Income
High 54 346 948 386 889.5 2.45 1.0 [Reference]
Lower 25% 16 355 281 113 850.9 2.47 1.24 (1.08-1.43)
BMI
<25 48 838 657 347 307.9 1.89 1.0 [Reference]
≥25 21 863 572 153 432.5 3.73 1.16 (0.96-1.40)
Smoking status
Never or ex-smoker 68 014 1177 481 928.9 2.44 1.0 [Reference]
Current smoker 2687 52 18 811.5 2.76 2.04 (1.53-2.72)
Alcohol consumption
None 53 966 1121 383 594.0 2.92 1.0 [Reference]
> 0 g/d 16 735 108 117 146.4 0.92 0.89 (0.72-1.10)
Physical activity
None 57 403 1016 406 894.2 2.50 1.0 [Reference]
Regular exercise 13 298 213 93 846.2 2.27 0.95 (0.81-1.10)
Diabetes
No 65 997 927 468 615.3 1.98 1.0 [Reference]
Yes 4704 302 32 125.1 9.40 1.58 (1.36-1.82)
Hypertension
No 55 068 541 391 198.9 1.38 1.0 [Reference]
Yes 15 633 688 109 541.5 6.28 1.07 (0.93-1.22)
Dyslipidemia
No 57 931 733 413 258.0 1.77 1.0 [Reference]
Yes 12 770 496 87 482.4 5.67 1.13 (0.99-1.28)
Chronic kidney disease
No 70 457 1209 499 199.5 2.42 1.0 [Reference]
Yes 244 20 1540.9 12.98 3.11 (1.98-4.88)

Abbreviations: AHR, adjusted hazard ratio; BMI, body mass index (calculated as weight in kilograms divided by height in meters squared).

a

Adjusted for age, income, residential location, body mass index, diabetes, hypertension, dyslipidemia, chronic kidney disease, smoking, alcohol consumption, and physical activity.

Modifiable Risk Factors of AD Among Breast Cancer Survivors

Among other covariates, lower income was associated with a higher risk of AD (AHR, 1.24; 95% CI, 1.08-1.43). Compared with never or ex-smokers, current smokers had a higher risk of AD (AHR, 2.04; 95% CI, 1.53-2.72). The comorbidities of diabetes (AHR, 1.58; 95% CI, 1.36-1.82) and chronic kidney disease (AHR, 3.11; 95% CI, 1.98-4.88) were associated with a higher risk of AD (Table 3).

Landmark Analyses at 6-Month and 1-, 3-, and 5-Year Follow-Ups

Table 4 presents the 6-month, 1-year, 3-year, and 5-year landmark analyses of risk of AD among breast cancer survivors. The results from the 6-month landmark analysis showed that breast cancer survivors had a lower risk of AD compared with controls (HR, 0.92; 95% CI, 0.86-0.99). At the 1-year, 3-year, and 5-year landmark periods, no significant difference in risk of AD was found among breast cancer survivors (1- year landmark: SHR, 0.94; 95% CI, 0.87-1.01; 3-year landmark: SHR, 0.97; 95% CI, 0.90-1.05; 5-year landmark: and SHR, 0.98; 95% CI, 0.89-1.08). As survival time increased, the SHR approached 1.00 (no significant difference in risk for AD compared with controls). These findings were consistent across all age groups (5-years landmark analysis: P for interaction = .69).

Table 4. Landmark Analyses for Risk of Alzheimer Disease Among Breast Cancer Survivors at 6 Months and 1, 3, and 5 Years.

Group No. of participants No. of cases Duration, person-years Incidence ratio per 1000 person-years SHR (95% CI)
Model 1a Model 2b Model 3c
6-mo Landmark
All ages
Control 180 265 3335 1 212 419.0 2.75 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 70 576 1203 465 414.8 2.58 0.91 (0.85-0.97) 0.94 (0.87-1.00) 0.92 (0.86-0.99)
Age ≤50 y
Control 77 201 91 524 096.1 0.17 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 31 407 32 210 187.8 0.15 0.85 (0.57-1.28) 0.87 (0.58-1.298) 0.87 (0.58-1.30)
Age 51-≤64 y
Control 81 682 889 548 231.7 1.62 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 31 150 322 204 193.1 1.58 0.94 (0.83-1.07) 0.96 (0.84-1.09) 0.95 (0.84-1.08)
Age ≥65 y
Control 21 382 2355 140 091.2 16.81 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 8019 849 51 033.9 16.64 0.95 (0.88-1.03) 0.94 (0.87-1.02) 0.93 (0.86-1.01)
P for interaction NA NA NA NA .88 .89 .90
1-y Landmark
All ages
Control 180 146 3226 1 122 314.2 2.87 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 70 392 1170 430 169.1 2.72 0.92 (0.86-0.98) 0.95 (0.89-1.02) 0.94 (0.87-1.01)
Age ≤50 y
Control 77 198 90 485 496.1 0.19 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 31 348 32 194 495.5 0.16 0.86 (0.58-1.29) 0.88 (0.59-1.32) 0.88 (0.59-1.31)
Age 51-≤64 y
Control 81 656 865 507 396.7 1.70 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 31 087 314 188 632.2 1.66 0.95 (0.83-1.08) 0.97 (0.85-1.10) 0.96 (0.84-1.09)
Age ≥65 y
Control 21 292 2271 129 421.5 17.55 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 7957 824 47 041.4 17.52 0.96 (0.89-1.04) 0.95 (0.88-1.03) 0.94 (0.87-1.02)
P for interaction NA NA NA NA .88 .91 .92
3-y Landmark
All ages
Control 179 357 2574 762 725.0 3.37 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 68 882 925 290 788.5 3.18 0.93 (0.86-0.99) 0.98 (0.91-1.06) 0.97 (0.90-1.05)
Age ≤50 y
Control 77 148 63 331 138.1 0.19 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 30 882 28 132 257.8 0.21 1.09 (0.70-1.70) 1.11 (0.71-1.74) 1.11 (0.71-1.73)
Age 51-≤64 y
Control 81 430 698 344 279.4 2.03 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 30 409 234 127 062.5 1.84 0.89 (0.77-1.04) 0.91 (0.79-1.06) 0.91 (0.78-1.05)
Age ≥65 y
Control 20 779 1813 87 307.5 20.77 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast cancer 7591 663 31 468.2 21.07 0.99 (0.91-1.09) 1.00 (0.92-1.10) 0.99 (0.91-1.09)
P for interaction NA NA NA NA .42 .48 .47
5-y Landmark
All ages
Control 157 045 1745 413 162.8 4.22 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast 59 563 622 157 427.2 3.95 0.93 (0.85-1.02) 0.99 (0.90-1.09) 0.98 (0.89-1.08)
Age ≤50 y
Control 68 321 42 180 368.5 0.23 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast 27 115 16 72 201.0 0.22 0.99 (0.55-1.76) 1.00 (0.56-1.79) 1.00 (0.56-1.79)
Age 51-≤64 y
Control 70 978 481 185 500.7 2.59 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast 26 088 161 68 227.2 2.36 0.91 (0.76-1.09) 0.92 (0.78-1.11) 0.92 (0.77-1.10)
Age ≥65 y
Control 17 746 1222 47 293.6 25.84 1.0 [Reference] 1.0 [Reference] 1.0 [Reference]
Breast 6360 445 16 999.0 26.18 1.01 (0.90-1.12) 1.02 (0.91-1.14) 1.01 (0.91-1.13)
P for interaction NA NA NA NA .63 .69 .69

Abbreviations: NA, not applicable; SHR, subdistribution hazard ratio.

a

Model 1: unadjusted.

b

Model 2: adjusted for age, income, and residential location.

c

Model 3: adjusted for age, income, residential location, body mass index, diabetes, hypertension, dyslipidemia, chronic kidney disease, smoking, alcohol consumption, and physical activity.

Discussion

In this nationwide population-based cohort study, we investigated the risk of AD among breast cancer survivors compared with age-matched controls without cancer. Breast cancer survivors had an 8% lower risk of AD than did controls, and this association was particularly notable in survivors older than 65 years (SHR, 0.92; 95% CI, 0.85-0.99). In terms of treatment modalities, radiation therapy was associated with lower risk of AD among breast cancer survivors. In the sensitivity analysis, the lower risk of AD did not persist in older breast cancer survivors because survival time increased from 1 year to 5 years.

We found a slightly lower risk of AD among breast cancer survivors, in line with several previous studies7,8,23,24 and a meta-analysis23 (relative risk [RR], 0.93; 95% CI, 0.87-0.99). In contrast, a Swedish cohort study6 reported increased risk of AD among older breast cancer survivors at 5 years; the authors suggested that this difference may have been due to the failure of other studies to consider competing risk. However, one meta-analysis conducted meta-regressions to quantify the effects of study biases on pooled cancer-AD risk estimates and concluded that the inverse association between cancer and AD cannot be explained by competing risks alone.25 In our study, we found a lower risk of AD after adjusting for competing risk.

Treatment for cancer has been suggested as a potential mechanism of lower AD risk in breast cancer. One meta-analysis showed a lower risk of dementia and AD in patients with breast cancer treated with chemotherapy (RR, 0.83; 95% CI, 0.73-0.95) or hormonal therapy (RR, 0.83; 95% CI, 0.74-0.94).23 Our study also showed a numerically lower risk of AD with anthracycline use (AHR, 0.86; 95% CI, 0.73-1.01), although this result was not statistically significant. Most studies on AD risk after chemotherapy focused on detrimental changes in brain structures26 or cognitive function27 rather than AD incidence. Cytotoxic chemotherapy has been recognized as a cause of cognitive decline called chemobrain in cancer survivors. Chemobrain refers to cognitive dysfunction, including thinking and memory problems, that occur in patients with cancer during and after chemotherapy.28 In contrast to AD, chemotherapy-induced cognitive impairment is subtle, typically remains within normal cognitive function range, and does not affect the retrieval of remote memories.29 Chemotherapy-induced cognitive impairment does not always lead to the development of AD due to different mechanistic origins and should be distinguished from AD.30 In addition, cancer treatment might have benefits against AD development. In vitro, anthracyclines can inhibit and dissolve tau aggregation.31 An in vivo study reported that anthracycline significantly reduced the formation of amyloid deposits, suggesting its beneficial effects through the inhibition of fibril growth and facilitation of amyloid deposit clearance.32 Dysfunction of autophagy and reduced autophagic flux are both suggested to trigger AD.33 Therefore, autophagy inducers, such as anticancer drugs, might manage AD.34 Use of taxane-based chemotherapy may impair attention, concentration, and executive function shortly after treatment.35 However, research on long-term dementia risk found no association with the use of taxane.36

Endocrine therapy reduces estrogen levels, which could be related to an increased risk of dementia.37,38 However, in our study, use of tamoxifen and aromatase inhibitors was not significantly associated with AD. Tamoxifen, a selective estrogen receptor modulator that has tissue-specific effects, is widely prescribed for hormone receptor–positive breast cancer. In contrast to the antiestrogen effects of tamoxifen in breast tissue, tamoxifen exerts estrogenic agonist action, showing neuroprotective function against amyloid-β.39 Aromatase inhibitors reduce the peripheral levels of estrogen but increase estrogen levels in specific brain regions.40 In addition, upstream precursors of estrogen, such as testosterone and androstenedione, are increased by aromatase inhibitors and may benefit cognitive function.41 Previous epidemiologic studies also support the use of tamoxifen and aromatase inhibitors to be associated with a lower risk of AD.7,42

We found that radiation therapy was associated with lower risk of AD. The effects of therapeutic radiation for breast cancer on AD development have rarely been investigated. An increased risk of dementia in patients with head and neck cancer treated with radiation therapy was noted.43 However, the risk of AD could differ, depending on the dose of radiation and site of exposure. A pilot study44 found that patients with AD treated with low-dose whole-brain radiotherapy at 3 Gy experienced a temporary improvement in cognitive function via a neuroprotective effect on microglia. The mean unintended dose to the brain from breast cancer radiotherapy was estimated to be approximately 0.2 Gy using a 50-Gy tumor dose.45 A US population–based study also reported therapeutic radiation for cancer to be associated with decreased risk of AD for a short period after treatment.30 A recent review study also reported that low-dose radiation therapy might reduce astrogliosis and microgliosis and have anti-inflammatory and neuroprotective effects in animal models.46 However, indication bias may influence this association because patients who receive radiation therapy are likely to have undergone breast-conserving surgery. Patients who receive breast-conserving surgery plus radiation therapy are likely to be younger, with fewer comorbidities and smaller tumor size, compared with those who do not undergo such surgery.47

Our landmark analysis results suggest that survival duration might affect the association between breast cancer and AD. As the survival period increased, the SHR value approached 1.00, indicating that the risk of AD might differ according to the duration of survival. This finding is consistent with the findings from a Danish study in which cancer survivors showed lower risk of AD in general but AD risk approached that of the general population for those surviving more than 10 years.5 In addition, a Swedish study found increased risk of AD among 5-year breast cancer survivors, particularly in older individuals.6 These epidemiologic findings are in line with magnetic resonance imaging studies48,49 showing decreased brain gray matter density within 1 month after breast cancer chemotherapy that had recovered 1 year later. Short-term follow-up after adjuvant chemotherapy (eg, 1-3 years) revealed no significant differences in regional brain volume compared with that of healthy controls. Meanwhile, another study reported a significant long-term reduction in total brain volume and gray matter volume more than 20 years after postadjuvant chemotherapy for breast cancer.50 Based on these findings, we hypothesize that the risk of AD could be lowered shortly after cancer treatment but may equalize as the survival period increases. However, longer landmark periods might reflect selection bias because patients who have survived without AD for extended durations were included, favoring healthier individuals, such as those with early-stage breast cancer, younger age, and fewer comorbidities. Moreover, we could not evaluate the long-term increase in AD risk because our follow-up period was relatively short (maximum, 11 years). Additional studies with long-term observation periods are warranted to examine long-term associations between AD risk and breast cancer survival duration.

The risk of AD is a crucial aspect of overall well-being among breast cancer survivors. Concerns about chemobrain and the long-term adverse effects of breast cancer treatment on cognition are common, but our findings suggest that this treatment does not directly lead to AD. Appropriate management of modifiable risk factors for AD, such as smoking and diabetes, along with standard cancer treatment is a feasible and effective option to lower AD risk among breast cancer survivors. Understanding the potential protective association of breast cancer on AD can enhance surveillance strategies for AD among these survivors.

Strengths and Limitations

Our study has methodologic strengths over previous studies, including (1) a large study population that enabled us to investigate the risk of AD among breast cancer survivors through various subgroup analyses; (2) consideration of various traditional risk factors of AD, such as smoking, and competing risk; and (3) landmark analyses. However, our study also has limitations to consider. First, the administrative data used in this study do not include detailed clinical information on breast cancer stage or radiation dose and fraction. Second, the number of AD cases could have been underestimated based on the use of ICD-10 codes. However, considering that patients with breast cancer likely had more frequent medical visits than did controls, underdiagnosis of AD would have been more common in the control group and would have underestimated the actual beneficial association of breast cancer with AD. Third, although we focused on the risk of AD among survivors with operable breast cancer, the inclusion criteria for the study population may have introduced selection bias. Consequently, we may not have captured the risk of AD among elderly patients, those with critical comorbidities, or patients with advanced-stage breast cancer. Fourth, because our study used an age-matched control group to compare AD risk with breast cancer survivors, we adjusted for possible confounding factors for AD risk; however, residual confounding may still exist. Future studies should consider more comprehensive matching approaches for better balance between groups. Fifth, although AD is a slowly progressive disease, our study had a relatively short follow-up period (maximum follow-up, 11 years).

Conclusions

In this cohort study, breast cancer survivors had an 8% lower risk of AD compared with age-matched controls without cancer. Breast cancer treatment with radiation was associated with a lower risk of AD. Landmark analyses suggest that a longer survival period might attenuate this association.

Supplement 1.

eTable 1. Previous Studies on the Association Between Breast Cancer and Dementia or Alzheimer's Disease

eTable 2. Cancer Treatment History Among Breast Cancer Survivors

eFigure 1. The Association Between Breast Cancer Survivors and Alzheimer's Disease by Age Group Was Analyzed Using Gray’s Test

eFigure 2. Adjusted Subdistribution Hazard Ratios for Risk of Alzheimer’s Disease in Breast Cancer Survivors Compared to the Non-Cancer Control Group by Age Category

Supplement 2.

Data Sharing Statement

References

  • 1.Bray F, Laversanne M, Sung H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74(3):229-263. doi: 10.3322/caac.21834 [DOI] [PubMed] [Google Scholar]
  • 2.Giaquinto AN, Sung H, Miller KD, et al. Breast cancer statistics, 2022. CA Cancer J Clin. 2022;72(6):524-541. doi: 10.3322/caac.21754 [DOI] [PubMed] [Google Scholar]
  • 3.Buchanan ND, Dasari S, Rodriguez JL, et al. Post-treatment neurocognition and psychosocial care among breast cancer survivors. Am J Prev Med. 2015;49(6)(suppl 5):S498-S508. doi: 10.1016/j.amepre.2015.08.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Musicco M, Adorni F, Di Santo S, et al. Inverse occurrence of cancer and Alzheimer disease: a population-based incidence study. Neurology. 2013;81(4):322-328. doi: 10.1212/WNL.0b013e31829c5ec1 [DOI] [PubMed] [Google Scholar]
  • 5.Ording AG, Horváth-Puhó E, Veres K, et al. Cancer and risk of Alzheimer’s disease: small association in a nationwide cohort study. Alzheimers Dement. 2020;16(7):953-964. doi: 10.1002/alz.12090 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wennberg A, Ding M, Feychting M, Modig K. Risk of all-cause dementia, Alzheimer disease, and vascular dementia in breast cancer survivors: a longitudinal register-based study. Neurol Clin Pract. 2023;13(4):e200173. doi: 10.1212/CPJ.0000000000200173 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Sun LM, Chen HJ, Liang JA, Kao CH. Long-term use of tamoxifen reduces the risk of dementia: a nationwide population-based cohort study. Q J Med. 2016;109(2):103-109. doi: 10.1093/qjmed/hcv072 [DOI] [PubMed] [Google Scholar]
  • 8.Oh J, Lee HS, Jeon S, et al. Marked reduction in the risk of dementia in patients with breast cancer: a nationwide population-based cohort study. Cancer Res Treat. 2023;55(2):551-561. doi: 10.4143/crt.2022.272 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Wang L, Sang B, Zheng Z. The risk of dementia or cognitive impairment in patients with cataracts: a systematic review and meta-analysis. Aging Ment Health. 2024;28(1):11-22. doi: 10.1080/13607863.2023.2226616 [DOI] [PubMed] [Google Scholar]
  • 10.Lee GI, Chi SA, Kim K, et al. Visual impairment increases the risk of dementia, especially in young males in a 12-year longitudinal follow-up study of a national cohort. Sci Rep. 2021;11(1):11393. doi: 10.1038/s41598-021-91026-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Shin DW, Cho J, Park JH, Cho B. National General Health Screening Program in Korea: history, current status, and future direction. Precis Future Med. 2022;6(1):9-31. doi: 10.23838/pfm.2021.00135 [DOI] [Google Scholar]
  • 12.Jeong SM, Park J, Han K, et al. Association of changes in smoking intensity with risk of dementia in Korea. JAMA Netw Open. 2023;6(1):e2251506. doi: 10.1001/jamanetworkopen.2022.51506 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Jeon KH, Han K, Jeong SM, et al. Changes in alcohol consumption and risk of dementia in a nationwide cohort in South Korea. JAMA Netw Open. 2023;6(2):e2254771. doi: 10.1001/jamanetworkopen.2022.54771 [DOI] [PubMed] [Google Scholar]
  • 14.Yeo Y, Yoo JE, Han K, et al. Risk of dementia in survivors of active tuberculosis in Korea: a nationwide cohort study. J Infect Public Health. 2024;17(2):286-292. doi: 10.1016/j.jiph.2023.12.006 [DOI] [PubMed] [Google Scholar]
  • 15.Yang MS, Park M, Back JH, et al. Validation of cancer diagnosis based on the National Health Insurance Service Database versus the National Cancer Registry Database in Korea. Cancer Res Treat. 2022;54(2):352-361. doi: 10.4143/crt.2021.044 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Baek MS, Kim HK, Han K, et al. Annual trends in the incidence and prevalence of Alzheimer’s disease in South Korea: a nationwide cohort study. Front Neurol. 2022;13:883549. doi: 10.3389/fneur.2022.883549 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Jeong SM, Shin DW, Lee JE, Hyeon JH, Lee J, Kim S. Anemia is associated with incidence of dementia: a national health screening study in Korea involving 37,900 persons. Alzheimers Res Ther. 2017;9(1):94. doi: 10.1186/s13195-017-0322-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Jung I, Han KD, Moon SJ, et al. Association of physical activity with total and cause-specific mortality in patients with diabetes: a nationwide population-based cohort study. Diabetes Res Clin Pract. 2023;202:110819. doi: 10.1016/j.diabres.2023.110819 [DOI] [PubMed] [Google Scholar]
  • 19.Vandergrift JL, Niland JC, Theriault RL, et al. Time to adjuvant chemotherapy for breast cancer in National Comprehensive Cancer Network institutions. J Natl Cancer Inst. 2013;105(2):104-112. doi: 10.1093/jnci/djs506 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Choi KH, Sung SY, Lee SW, Jeon YW, Kim SH, Lee JH. Quality assessment and trend for breast cancer treatment practice across South Korea based on nationwide analysis of Korean Health Insurance Data during 2013-2017. Cancer Res Treat. 2023;55(2):570-579. doi: 10.4143/crt.2022.882 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Park YM, Jung W, Yeo Y, et al. Mid- and long-term risk of atrial fibrillation among breast cancer surgery survivors. BMC Med. 2024;22(1):88. doi: 10.1186/s12916-024-03308-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc. 1999;94(446):496-509. doi: 10.1080/01621459.1999.10474144 [DOI] [Google Scholar]
  • 23.Zhang DD, Ou YN, Fu Y, et al. Risk of dementia in cancer survivors: a meta-analysis of population-based cohort studies. J Alzheimers Dis. 2022;89(1):367-380. doi: 10.3233/JAD-220436 [DOI] [PubMed] [Google Scholar]
  • 24.Ma LL, Yu JT, Wang HF, et al. Association between cancer and Alzheimer’s disease: systematic review and meta-analysis. J Alzheimers Dis. 2014;42(2):565-573. doi: 10.3233/JAD-140168 [DOI] [PubMed] [Google Scholar]
  • 25.Ospina-Romero M, Glymour MM, Hayes-Larson E, et al. Association between Alzheimer disease and cancer with evaluation of study biases: a systematic review and meta-analysis. JAMA Netw Open. 2020;3(11):e2025515. doi: 10.1001/jamanetworkopen.2020.25515 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Kesler SR, Rao V, Ray WJ, Rao A; Alzheimer’s Disease Neuroimaging Initiative . Probability of Alzheimer’s disease in breast cancer survivors based on gray-matter structural network efficiency. Alzheimers Dement (Amst). 2017;9:67-75. doi: 10.1016/j.dadm.2017.10.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kesler SR, Blayney DW. Neurotoxic effects of anthracycline- vs nonanthracycline-based chemotherapy on cognition in breast cancer survivors. JAMA Oncol. 2016;2(2):185-192. doi: 10.1001/jamaoncol.2015.4333 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Lindner OC, Phillips B, McCabe MG, et al. A meta-analysis of cognitive impairment following adult cancer chemotherapy. Neuropsychology. 2014;28(5):726-740. doi: 10.1037/neu0000064 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ahles TA, Saykin AJ. Candidate mechanisms for chemotherapy-induced cognitive changes. Nat Rev Cancer. 2007;7(3):192-201. doi: 10.1038/nrc2073 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Mezencev R, Chernoff YO. Risk of Alzheimer’s disease in cancer patients: analysis of mortality data from the US SEER population-based registries. Cancers (Basel). 2020;12(4):796. doi: 10.3390/cancers12040796 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Pickhardt M, Gazova Z, von Bergen M, et al. Anthraquinones inhibit tau aggregation and dissolve Alzheimer’s paired helical filaments in vitro and in cells. J Biol Chem. 2005;280(5):3628-3635. doi: 10.1074/jbc.M410984200 [DOI] [PubMed] [Google Scholar]
  • 32.Merlini G, Ascari E, Amboldi N, et al. Interaction of the anthracycline 4′-iodo-4′-deoxydoxorubicin with amyloid fibrils: inhibition of amyloidogenesis. Proc Natl Acad Sci U S A. 1995;92(7):2959-2963. doi: 10.1073/pnas.92.7.2959 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Corasaniti MT, Bagetta G, Nicotera P, et al. Exploitation of autophagy inducers in the management of dementia: a systematic review. Int J Mol Sci. 2024;25(2):1264. doi: 10.3390/ijms25021264 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Liu P, Fan J, Wang Z, et al. The role of autophagy in the cytotoxicity induced by trastuzumab emtansine (T-DM1) in HER2-positive breast cancer cells. AMB Express. 2020;10(1):107. doi: 10.1186/s13568-020-01044-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Ibrahim EY, Domenicano I, Nyhan K, et al. Cognitive effects and depression associated with taxane-based chemotherapy in breast cancer survivors: a meta-analysis. Front Oncol. 2021;11:642382. doi: 10.3389/fonc.2021.642382 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Raji MA, Tamborello LP, Kuo YF, et al. Risk of subsequent dementia diagnoses does not vary by types of adjuvant chemotherapy in older women with breast cancer. Med Oncol. 2009;26(4):452-459. doi: 10.1007/s12032-008-9145-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Paganini-Hill A, Henderson VW. Estrogen deficiency and risk of Alzheimer’s disease in women. Am J Epidemiol. 1994;140(3):256-261. doi: 10.1093/oxfordjournals.aje.a117244 [DOI] [PubMed] [Google Scholar]
  • 38.Yoo JE, Shin DW, Han K, et al. Female reproductive factors and the risk of dementia: a nationwide cohort study. Eur J Neurol. 2020;27(8):1448-1458. doi: 10.1111/ene.14315 [DOI] [PubMed] [Google Scholar]
  • 39.O’Neill K, Chen S, Diaz Brinton R. Impact of the selective estrogen receptor modulator, tamoxifen, on neuronal outgrowth and survival following toxic insults associated with aging and Alzheimer’s disease. Exp Neurol. 2004;188(2):268-278. doi: 10.1016/j.expneurol.2004.01.014 [DOI] [PubMed] [Google Scholar]
  • 40.Gervais NJ, Remage-Healey L, Starrett JR, Pollak DJ, Mong JA, Lacreuse A. Adverse effects of aromatase inhibition on the brain and behavior in a nonhuman primate. J Neurosci. 2019;39(5):918-928. doi: 10.1523/JNEUROSCI.0353-18.2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Branigan GL, Torrandell-Haro G, Chen S, et al. Breast cancer therapies reduce risk of Alzheimer’s disease and promote estrogenic pathways and action in brain. iScience. 2023;26(11):108316. doi: 10.1016/j.isci.2023.108316 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Branigan GL, Soto M, Neumayer L, Rodgers K, Brinton RD. Association between hormone-modulating breast cancer therapies and incidence of neurodegenerative outcomes for women with breast cancer. JAMA Netw Open. 2020;3(3):e201541. doi: 10.1001/jamanetworkopen.2020.1541 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Penn IW, Chung CH, Huang YC, et al. Increased risk of dementia in patients with nasopharyngeal cancer treated with radiation therapy: a nationwide population-based cohort study. Arch Gerontol Geriatr. 2021;93:104303. doi: 10.1016/j.archger.2020.104303 [DOI] [PubMed] [Google Scholar]
  • 44.Kim A, Lee J, Moon H, et al. The effects of low-dose radiation therapy in patients with mild-to-moderate Alzheimer’s dementia: an interim analysis of a pilot study. Radiat Oncol J. 2023;41(2):89-97. doi: 10.3857/roj.2023.00052 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Berrington de Gonzalez A, Curtis RE, Gilbert E, et al. Second solid cancers after radiotherapy for breast cancer in SEER cancer registries. Br J Cancer. 2010;102(1):220-226. doi: 10.1038/sj.bjc.6605435 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Kaul D, Ehret F, Roohani S, et al. Radiation therapy in Alzheimer’s disease: a systematic review. Int J Radiat Oncol Biol Phys. 2024;119(1):23-41. doi: 10.1016/j.ijrobp.2023.11.044 [DOI] [PubMed] [Google Scholar]
  • 47.Zhou J, Enewold L, Zahm SH, et al. Breast conserving surgery versus mastectomy: the influence of comorbidities on choice of surgical operation in the Department of Defense health care system. Am J Surg. 2013;206(3):393-399. doi: 10.1016/j.amjsurg.2013.01.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Inagaki M, Yoshikawa E, Matsuoka Y, et al. Smaller regional volumes of brain gray and white matter demonstrated in breast cancer survivors exposed to adjuvant chemotherapy. Cancer. 2007;109(1):146-156. doi: 10.1002/cncr.22368 [DOI] [PubMed] [Google Scholar]
  • 49.McDonald BC, Conroy SK, Ahles TA, West JD, Saykin AJ. Gray matter reduction associated with systemic chemotherapy for breast cancer: a prospective MRI study. Breast Cancer Res Treat. 2010;123(3):819-828. doi: 10.1007/s10549-010-1088-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Koppelmans V, de Ruiter MB, van der Lijn F, et al. Global and focal brain volume in long-term breast cancer survivors exposed to adjuvant chemotherapy. Breast Cancer Res Treat. 2012;132(3):1099-1106. doi: 10.1007/s10549-011-1888-1 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement 1.

eTable 1. Previous Studies on the Association Between Breast Cancer and Dementia or Alzheimer's Disease

eTable 2. Cancer Treatment History Among Breast Cancer Survivors

eFigure 1. The Association Between Breast Cancer Survivors and Alzheimer's Disease by Age Group Was Analyzed Using Gray’s Test

eFigure 2. Adjusted Subdistribution Hazard Ratios for Risk of Alzheimer’s Disease in Breast Cancer Survivors Compared to the Non-Cancer Control Group by Age Category

Supplement 2.

Data Sharing Statement


Articles from JAMA Network Open are provided here courtesy of American Medical Association

RESOURCES