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Erschienen in: Breast Cancer Research 1/2023

Open Access 01.12.2023 | Research

Risk of second primary cancer among women in the Kaiser Permanente Breast Cancer Survivors Cohort

verfasst von: Cody Ramin, Lene H. S. Veiga, Jacqueline B. Vo, Rochelle E. Curtis, Clara Bodelon, Erin J. Aiello Bowles, Diana S. M. Buist, Sheila Weinmann, Heather Spencer Feigelson, Gretchen L. Gierach, Amy Berrington de Gonzalez

Erschienen in: Breast Cancer Research | Ausgabe 1/2023

Abstract

Background

Breast cancer survivors are living longer due to early detection and advances in treatment and are at increased risk for second primary cancers. Comprehensive evaluation of second cancer risk among patients treated in recent decades is lacking.

Methods

We identified 16,004 females diagnosed with a first primary stage I-III breast cancer between 1990 and 2016 (followed through 2017) and survived ≥ 1 year at Kaiser Permanente (KP) Colorado, Northwest, and Washington. Second cancer was defined as an invasive primary cancer diagnosed ≥ 12 months after the first primary breast cancer. Second cancer risk was evaluated for all cancers (excluding ipsilateral breast cancer) using standardized incidence ratios (SIRs), and a competing risk approach for cumulative incidence and hazard ratios (HRs) adjusted for KP center, treatment, age, and year of first cancer diagnosis.

Results

Over a median follow-up of 6.2 years, 1,562 women developed second cancer. Breast cancer survivors had a 70% higher risk of any cancer (95%CI = 1.62–1.79) and 45% higher risk of non-breast cancer (95%CI = 1.37–1.54) compared with the general population. SIRs were highest for malignancies of the peritoneum (SIR = 3.44, 95%CI = 1.65–6.33), soft tissue (SIR = 3.32, 95%CI = 2.51–4.30), contralateral breast (SIR = 3.10, 95%CI = 2.82–3.40), and acute myeloid leukemia (SIR = 2.11, 95%CI = 1.18–3.48)/myelodysplastic syndrome (SIR = 3.25, 95%CI = 1.89–5.20). Women also had elevated risks for oral, colon, pancreas, lung, and uterine corpus cancer, melanoma, and non-Hodgkin lymphoma (SIR range = 1.31–1.97). Radiotherapy was associated with increased risk for all second cancers (HR = 1.13, 95%CI = 1.01–1.25) and soft tissue sarcoma (HR = 2.36, 95%CI = 1.17–4.78), chemotherapy with decreased risk for all second cancers (HR = 0.87, 95%CI = 0.78–0.98) and increased myelodysplastic syndrome risk (HR = 3.01, 95%CI = 1.01–8.94), and endocrine therapy with lower contralateral breast cancer risk (HR = 0.48, 95%CI = 0.38–0.60). Approximately 1 in 9 women who survived ≥ 1 year developed second cancer, 1 in 13 developed second non-breast cancer, and 1 in 30 developed contralateral breast cancer by 10 years. Trends in cumulative incidence declined for contralateral breast cancer but not for second non-breast cancers.

Conclusions

Elevated risks of second cancer among breast cancer survivors treated in recent decades suggests that heightened surveillance is warranted and continued efforts to reduce second cancers are needed.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s13058-023-01647-y.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
BMI
Body mass index
CI
Confidence interval
EMR
Electronic medical record
ER
Estrogen receptor
HER2
Human epidermal growth factor receptor 2
HR
Hazard ratio
KP
Kaiser Permanente
PR
Progesterone receptor
SEER
Surveillance, Epidemiology and End Results
SIR
Standardized incidence ratio

Background

There are nearly 4 million breast cancer survivors in the US, and this number is increasing due to an aging population and improvements in breast cancer survival [1]. During recent decades, advances in screening and treatment have contributed to a 5-year survival rate that has reached 90% for all stages and 99% for localized stage [14]. Although breast cancer survivors are living longer, they have substantially increased risk of developing and dying from a second cancer [519]. Previous studies have established that second cancers can develop as a late effect of breast cancer treatment [20]. An increased risk of endometrial cancer has been observed after tamoxifen therapy [7, 15], leukemia and myelodysplastic syndrome after either chemotherapy [7, 2124] or radiotherapy [15, 25, 26], and soft tissue sarcomas, lung, breast, and esophageal cancer after radiotherapy [7, 15, 27, 28]. Endocrine therapy has also been shown to significantly reduce the risk of second breast cancer [2933]. Importantly, breast cancer treatment has changed considerably over the last several decades with shifts in chemotherapy regimens, improvements in radiotherapy techniques, widespread use of endocrine therapies, and increases in contralateral prophylactic mastectomies [3, 34]. However, prior studies evaluating second cancer risk have been primarily conducted among registry-based studies and limited to women diagnosed and treated in the mid-2000s or earlier [513]. Therefore, second cancer risk after significant advances and changes in breast cancer treatment and within an integrated health care delivery system have not been well described.
Here we evaluated second cancer risk among a large retrospective cohort of breast cancer survivors diagnosed between 1990 and 2016 (followed through 2017) within an integrated US health care delivery system with long-term follow-up and comprehensive treatment data. Our study utilizes systematically ascertained data on radiotherapy, chemotherapy, and endocrine therapy to examine second cancer risk that cannot be addressed with Surveillance, Epidemiology, and End Results (SEER) registry data due to the known under-ascertainment of treatment and availability of initial treatment only [35]. A comprehensive assessment of second cancer risk by age, tumor, and treatment characteristics of the first breast cancer among women diagnosed and treated within an integrated health care delivery system could inform contemporary strategies for clinical surveillance and efforts to reduce second cancer risk among breast cancer survivors.

Methods

Study population

The Kaiser Permanente (KP) Breast Cancer Survivors Cohort is a retrospective cohort of women diagnosed with a first primary unilateral breast cancer at three KP sites: Northwest (n = 4,658 between 1990 and 2008), Colorado (n = 5,512 between 1994 and 2014), or Washington (n = 8,242 between 1990 and 2016). Eligible women were KP members who survived and remained at risk for second cancer for at least 1 year. We excluded women diagnosed with a first breast cancer at age < 20 years (n = 1) or ≥ 85 years (n = 563), in situ (n = 1,478) or metastatic disease (n = 204), unknown stage (n = 72), and those not treated with surgery (n = 90) (Additional file 1: Fig. S1). This left 16,004 women in the analytic study population. This study was approved by the National Institutes of Health Institutional Review Board (IRB) and by the IRBs of KP Northwest, Colorado, and Washington.

Covariate and cancer ascertainment

Patient information was extracted from electronic medical record (EMR) databases, including date of birth, race, ethnicity, body mass index (BMI), and smoking status. BMI was calculated from height and weight measurements within 1 year before to 1 year after first breast cancer diagnosis and supplemented with chart review to fill in missing data. Smoking status was obtained at first breast cancer diagnosis through 1 year after diagnosis from social history records of EMRs and supplemented using ICD-9 (305.1, V15.82, V65.42), ICD-10 (F17.200, Z87.891, Z72.0), and procedure codes (4000, 200162, 99406, 99407, S9075). Cancer diagnoses and tumor characteristics were obtained from cancer registries (KP tumor registries for KP Colorado and Northwest, and SEER registry for KP Washington). Breast cancer tumor characteristics included stage, laterality, histologic type, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) status. Chemotherapy and endocrine therapy data were obtained from KP electronic pharmacy records and included information on specific drug names and dispensing dates. Data on chemotherapy were supplemented with information from tumor registries to capture patients that could have been treated outside of KP (< 4%). Endocrine therapy and chemotherapy were evaluated for the entire follow-up period. Radiotherapy was obtained from KP tumor registries and included the first course of therapy only.

Second cancer outcomes

Second cancer was defined as an invasive primary cancer diagnosed ≥ 12 months after the first primary breast cancer diagnosis. Second cancers were primarily identified according to the ICD-O-3 site and morphology codes (Additional file 1: Table S1) [36]. Bone and soft-tissue sarcomas were defined based on an extended classification of the International Classification of Childhood Cancers, third edition (ICCC-3) [37, 38]. Results are presented for 1) all second cancers (excluding ipsilateral breast cancer), 2) all second non-breast cancers, and 3) site-specific second cancers with ≥ 10 events unless specified a priori as a site of interest (e.g., esophageal cancer). Ipsilateral breast cancers (n = 144) were censored at date of diagnosis to reduce potential misclassification of a recurrence as a second cancer. Analyses for contralateral breast cancer excluded women who underwent a contralateral prophylactic mastectomy (n = 1,042). Since myelodysplastic syndromes were not ascertained in SEER until 2001, analyses for these events were restricted to 2001–2017.

Statistical analysis

Women were followed beginning 12 months after their initial breast cancer diagnosis until the first of the following: second cancer diagnosis, death, health plan exit, or end of follow-up (Additional file 1: Fig. S1). Cumulative incidence was calculated for the 10 most common second cancers and by decade of first breast cancer diagnosis using nonparametric methods accounting for competing events [39]. We calculated standardized incidence ratios (SIRs; observed/expected) and exact 95% confidence intervals (CIs) to compare incident cancers among breast cancer patients to expected first cancers in the general population. To calculate the expected number of cancers, we used the nine US SEER registries as the reference population and obtained age-, race-, and calendar-time specific first cancer incidence rates multiplied by the person-time in each stratum. SIRs for all second cancers, second non-breast cancers, and site-specific second cancers were estimated overall and stratified by first breast cancer characteristics and treatment. Results were stratified by age < 55/ ≥ 55 years at first breast cancer (proxy for menopausal status) and restricted to age < 45 years to examine risk among younger women (based on the distribution of the study population). To examine the potential effect of medical surveillance bias, we also examined SIRs by time after initial diagnosis (i.e., latency). Results with < 5 events were omitted in stratified analyses for site-specific second cancers. To compare SIRs in stratified analyses, we used Poisson regression with the observed number of cases as the outcome, the log of the expected number of cases as the offset, and the stratified factor as a covariate in the model [40, 41]. P-values for heterogeneity were based on the likelihood ratio statistic comparing model fit with and without the stratified factor.
To further examine the association between treatment and second cancer risk, we used Fine and Gray regression with time since index date as the time scale to estimate subdistribution hazard ratios (HRs) accounting for competing events [42], and adjusting for radiotherapy, chemotherapy, and endocrine therapy (separate binary yes/no variables). Multivariable models additionally adjusted for age at first breast cancer diagnosis (continuous), year of first breast cancer diagnosis (5-year categories), and KP center. Adjustment for BMI (< 25, 25- < 30, ≥ 30 kg/m2), smoking (ever, never), and clinicopathological characteristics of the first breast cancer, including stage (I, II, III), histology (ductal, lobular, mixed, other), and ER/PR status did not change the results; therefore, the more parsimonious model was used. Models examining endocrine therapy were restricted to first ER-positive breast cancers. HRs estimated with Cox proportional hazard regression are reported in the supplement. Due to a potentially longer latency period between treatment and second cancer risk, we also examined associations restricted to 5-year survivors.
All p-values < 0.05 were considered statistically significant and tests were two-sided. Analyses were performed using SEER*Stat 8.3.9 and Stata 16 (College Station, TX).

Results

The mean age at first breast cancer diagnosis was 60.7 years (standard deviation, 12.0) and the mean year of diagnosis was 2003 (standard deviation, 6.9) (Table 1). First breast cancers were predominately stage I (58.4%), ductal (76.7%), and ER-positive (79.6%). Women primarily underwent breast conserving surgery (61.1%) and received radiotherapy (66.5%) and/or endocrine therapy (70.0%). During a median follow-up of 6.2 years, 1,562 women developed a second cancer. Women who developed second cancer were less likely to have received chemotherapy or endocrine therapy compared with women who did not develop second cancer.
Table 1
Selected patient and clinical characteristics among 16,004 women diagnosed with a first primary unilateral invasive breast cancer at three Kaiser Permanente sites, 1990–2016 and followed through 2017
  
Second cancer case status
Characteristics of the first breast cancer
Total
(N = 16,004)
Second cancer cases
(n = 1,562)
Second non-breast cancer cases
(n = 1,112)
Non-cases
(n = 14,298)a
n (%)
n (%)
n (%)
n (%)
Year of diagnosis, mean (SD)
2003.0 (6.9)
1999.3 (5.9)
1999.5 (6.0)
2003.4 (6.8)
Year of diagnosisb
   
 1990–1994
2035 (12.7)
380 (24.3)
268 (24.1)
1623 (11.4)
 1995–1999
3426 (21.4)
466 (29.8)
314 (28.2)
2899 (20.3)
 2000–2004
3696 (23.1)
394 (25.2)
281 (25.3)
3267 (22.9)
 2005–2009
3541 (22.1)
235 (15.0)
182 (16.4)
3293 (23.0)
 2010–2016
3306 (20.7)
87 (5.6)
67 (6.0)
3216 (22.5)
Age at diagnosis, years, mean (SD)
60.7 (12.0)
63.4 (11.2)
64.6 (10.8)
60.5 (12.0)
Age at diagnosis, years
 20–39
630 (3.9)
41 (2.6)
18 (1.6)
579 (4.1)
 40–49
2635 (16.5)
174 (11.1)
103 (9.3)
2424 (17.0)
 50–59
4325 (27.0)
341 (21.8)
229 (20.6)
3944 (27.6)
 60–69
4452 (27.8)
523 (33.5)
375 (33.7)
3895 (27.2)
 70–79
3117 (19.5)
394 (25.2)
315 (28.3)
2705 (18.9)
 80–84
845 (5.3)
89 (5.7)
72 (6.5)
751 (5.3)
Race
 White
14,691 (91.8)
1468 (94.0)
1055 (94.9)
13,091 (91.6)
 Black
458 (2.9)
38 (2.4)
21 (1.9)
416 (2.9)
 American Indian/Alaskan Native
91 (0.6)
6 (0.4)
5 (0.5)
82 (0.6)
 Asian/Pacific Islander
602 (3.8)
42 (2.7)
27 (2.4)
556 (3.9)
 Other
49 (0.3)
4 (0.3)
3 (0.3)
45 (0.3)
 Unknown
113 (0.7)
4 (0.3)
1 (0.1)
108 (0.8)
Ethnicityc
 Non-Hispanic
10,902 (93.8)
1031 (94.7)
749 (95.4)
9767 (93.8)
 Hispanic
660 (5.7)
58 (5.3)
36 (4.6)
592 (5.7)
 Unknown
58 (0.5)
0 (0)
0 (0)
58 (0.6)
Body mass index, kg/m2, mean (SD)
28.7 (6.7)
29.0 (6.8)
28.8 (6.7)
28.7 (6.6)
Ever tobacco use
5182 (32.4)
454 (29.1)
333 (30.0)
4698 (32.9)
Stage
 I
9348 (58.4)
998 (63.9)
715 (64.3)
8245 (57.7)
 II
5350 (33.4)
457 (29.3)
322 (29.0)
4857 (34.0)
 III
1306 (8.2)
107 (6.9)
75 (6.7)
1196 (8.4)
Histology
 Ductal
12,271 (76.7)
1197 (76.6)
847 (76.2)
10,965 (76.7)
 Lobular
1414 (8.8)
138 (8.8)
105 (9.4)
1268 (8.9)
 Mixed
1041 (6.5)
89 (5.7)
60 (5.4)
942 (6.6)
 Other
1278 (8.0)
138 (8.8)
100 (9.0)
1123 (7.9)
ER status
 Negative
2674 (16.7)
255 (16.3)
170 (15.3)
2401 (16.8)
 Positive
12,746 (79.6)
1237 (79.2)
894 (80.4)
11,397 (79.7)
 Unknown/borderline
584 (3.6)
70 (4.5)
48 (4.3)
500 (3.5)
PR status
 Negative
4341 (27.1)
418 (26.8)
300 (27.0)
3889 (27.2)
 Positive
10,972 (68.6)
1055 (67.5)
753 (67.7)
9823 (68.7)
 Unknown/borderline
691 (4.3)
89 (5.7)
59 (5.3)
586 (4.1)
HER2 statusd
 Negative
2792 (84.5)
76 (87.4)
58 (86.6)
2714 (84.4)
 Positive
412 (12.5)
6 (6.9)
5 (7.5)
406 (12.6)
 Unknown/borderline
102 (3.1)
5 (5.8)
4 (6.0)
96 (3.0)
Surgery type
 Lumpectomy, partial mastectomy
9772 (61.1)
994 (63.6)
694 (62.4)
8634 (60.4)
 Mastectomy
6232 (38.9)
568 (36.4)
418 (37.6)
5664 (39.6)
Received radiotherapy
 No
5302 (33.1)
507 (32.5)
381 (34.3)
4783 (33.5)
 Yes
10,638 (66.5)
1054 (67.5)
731 (65.7)
9452 (66.1)
 Unknown
64 (0.4)
1 (0.1)
0 (0)
63 (0.4)
Received chemotherapy
 No
9218 (57.6)
1028 (65.8)
753 (67.7)
8097 (56.6)
 Yes
6786 (42.4)
534 (34.2)
359 (32.3)
6201 (43.4)
Received endocrine therapy
 No
4805 (30.0)
563 (36.0)
363 (32.6)
4177 (29.2)
 Yes
11,199 (70.0)
999 (64.0)
749 (67.4)
10,121 (70.8)
  Tamoxifen only
5147 (46.0)
640 (64.1)
469 (62.6)
4448 (44.0)
  AIs only
3012 (26.9)
154 (15.4)
123 (16.4)
2850 (28.2)
  Tamoxifen + AIs
2611 (23.3)
167 (16.7)
127 (17.0)
2435 (24.1)
  Other/unknown
429 (3.8)
38 (3.8)
30 (4.0)
388 (3.8)
Abbreviations ER Estrogen receptor, PR Progesterone receptor, HER2 Human epidermal growth factor receptor 2, AI Aromatase inhibitor
a144 women were diagnosed with a second ipsilateral breast cancer and censored at the date of diagnosis. These women were not included in the distribution for cases and non-cases
bWomen were diagnosed with stage I-III breast cancer between 1990–2016 and followed through 2017
cEthnicity was available for Kaiser Permanente Colorado and Washington
dHER2 status was restricted to women diagnosed with a first breast cancer in 2010–2016 and followed through 2017
The 10-year cumulative incidence was 10.8% for all second cancers, 7.5% for non-breast cancer, and 3.4% for contralateral breast cancer (Fig. 1, Additional file 1: Table S2). Cumulative incidence for lung, colon, uterine corpus, melanoma, soft tissue sarcoma, and leukemia was low (≤ 1% at 10 years). The cumulative incidence of contralateral breast cancer declined by year of first breast cancer diagnosis, but no decline was observed for other second cancers (Table 2, Additional file 1: Fig. S2).
Table 2
Cumulative incidence for second primary cancer according to year of first breast cancer diagnosis among 16,004 women diagnosed with a first primary unilateral invasive breast cancera
Year of first breast cancer diagnosis
5 years
10 years
% (95% CI)
% (95% CI)
All second cancers
1990- < 2000
4.77 (4.21–5.38)
10.97 (10.09–11.90)
2000- < 2010
4.69 (4.19–5.24)
10.79 (9.92–11.70)
2010 + 
4.19 (3.27–5.38)
b
All second non-breast cancers
1990- < 2000
3.18 (2.72–3.68)
7.14 (6.43–7.91)
2000- < 2010
3.49 (3.06–3.97)
7.87 (7.13–8.66)
2010 + 
3.36 (2.54–4.35)
b
Contralateral breastc
1990- < 2000
1.61 (1.29–1.99)
3.82 (3.30–4.41)
2000- < 2010
1.28 (1.02–1.60)
3.05 (2.57–3.58)
2010 + 
0.98 (0.56–1.61)
b
aCumulative incidence for all second primary cancers, second non-breast cancers, and contralateral breast cancer were estimated accounting for the competing risk of death and other invasive cancers (contralateral breast cancer only)
bFollow-up time was not sufficient to report cumulative incidence at 10-years
cWomen with bilateral mastectomies were excluded (n = 1,042)
Breast cancer survivors had significantly higher risk for all second cancers and non-breast cancers compared with the general population (SIR = 1.70, 95%CI = 1.62–1.79; SIR = 1.45, 95%CI = 1.37–1.54, respectively) (Fig. 2). Second cancer risk significantly varied by first breast cancer characteristics and treatment, including age, year, latency, ER status, stage, and endocrine therapy (Pheterogeneity < 0.05). SIRs for second cancer were particularly elevated (SIRs ≥ 2.00) for women diagnosed with a first breast cancer at a younger age, and after a stage III breast cancer, ER-negative breast cancer, or ER-positive breast cancer without endocrine therapy. Although second cancer risk remained elevated regardless of latency, risk was higher 5 + years after diagnosis (< 5 years: SIR = 1.52, 95%CI = 1.40–1.65; 5 + years: SIR = 1.84, 95%CI = 1.73–1.96; Pheterogeneity < 0.0002). SIRs for second non-breast cancer were attenuated compared to SIRs for all second cancers, particularly for ER status, year of diagnosis, and receipt of endocrine therapy, but otherwise patterns of risk remained similar.
Site-specific second cancer risk was highest for contralateral breast cancer (SIR = 3.10, 95%CI = 2.82–3.40), soft tissue sarcoma (SIR = 3.32, 95%CI = 2.51–4.30), peritoneal cancer (SIR = 3.44, 95%CI = 1.65–6.33), and myelodysplastic syndrome (SIR = 3.25, 95%CI = 1.89–5.20) (Fig. 3). Significantly elevated risk was also observed for malignancies of the oral cavity and pharynx (SIR = 1.65, 95%CI = 1.07–2.44), colon (SIR = 1.41, 95%CI = 1.18–1.69), pancreas (SIR = 1.36, 95%CI = 1.00–1.81), lung and bronchus (SIR = 1.31, 95%CI = 1.14–1.51), uterine corpus (SIR = 1.82, 95%CI = 1.50–2.17), melanoma (SIR = 1.97, 95%CI = 1.53–2.51), non-Hodgkin lymphoma (SIR = 1.44, 95%CI = 1.11–1.84), and acute myeloid leukemia (SIR = 2.11, 95%CI = 1.18–3.48). Lower risk was observed for bladder cancer (SIR = 0.61, 95%CI = 0.36–0.98).
SIRs for site-specific second cancers varied by first breast cancer characteristics and treatment (Additional file 1: Tables S3–7). SIRs were particularly elevated after an ER-negative breast cancer and significantly differed by ER status for lung and bronchus, ovarian, and contralateral breast cancer (Pheterogeneity < 0.05) (Additional file 1: Table S3). For results stratified by age < 55/ ≥ 55 years, SIRs were highest among women aged < 55 years and for malignancies of the oral cavity and pharynx, contralateral breast, soft tissue sarcoma, and melanoma (SIRs range = 2.58–4.55), but significant heterogeneity was only observed for contralateral breast cancer and melanoma (Pheterogeneity < 0.05) (Additional file 1: Table S4). Among women aged < 45 years, risk was further elevated for soft tissue sarcoma (SIR = 11.06, 95%CI = 5.06–20.99) and contralateral breast cancer (SIR = 6.10, 95%CI = 4.48–8.11) and was significantly elevated for ovarian (SIR = 3.63, 95%CI = 1.18–8.46) and thyroid cancer (SIR = 3.04, 95%CI = 1.31–5.98). SIRs stratified by treatment are presented in the data supplement (Additional file 1: Table S5-7).
In multivariable adjusted models, radiotherapy was associated with an increased risk for all second cancers (HR = 1.13, 95%CI = 1.01–1.25) and soft tissue sarcoma (HR = 2.36, 95%CI = 1.17–4.78) (Table 3). Chemotherapy was associated with lower risk for all second cancers (HR = 0.87, 95%CI = 0.78–0.98) and increased risk for myelodysplastic syndrome (HR = 3.01, 95%CI = 1.01–8.94). ER-positive patients treated with endocrine therapy had a decreased risk for all second cancers (HR = 0.78, 95%CI = 0.68–0.89) and contralateral breast cancer (HR = 0.48, 95%CI = 0.38–0.60). Results remained similar overall when using Cox proportional hazards regression (Additional file 1: Table S8) and were slightly attenuated when restricted to 5-year survivors (Additional file 1: Table S9).
Table 3
Associations between breast cancer treatment and risk of developing second primary cancer among 16,004 women diagnosed with a first primary unilateral invasive breast cancer between 1990 to 2016 and followed through 2017a,b
 
Age-adjusted HRs (95% CIs)c
Multivariable-adjusted HRs (95% CIs)d
Site-specific second primary cancer
Radiotherapy
Chemotherapy
Endocrine therapye
Radiotherapy
Chemotherapy
Endocrine therapye
All second cancer
1.10 (0.99–1.22)
0.86 (0.77–0.97)
0.74 (0.65–0.84)
1.13 (1.01–1.25)
0.87 (0.78–0.98)
0.78 (0.68–0.89)
All second non-breast cancer
1.04 (0.92–1.17)
0.88 (0.77–1.01)
0.94 (0.80–1.11)
1.06 (0.93–1.20)
0.89 (0.77–1.02)
0.99 (0.84–1.17)
Oral cavity, pharynx
0.53 (0.24–1.17)
0.60 (0.23–1.59)
1.40 (0.41–4.72)
0.52 (0.24–1.13)
0.60 (0.23–1.61)
1.56 (0.43–5.65)
Peritoneum, omentum, mesentery
1.23 (0.33–4.57)
0.71 (0.19–2.65)
2.38 (0.29–19.60)
1.17 (0.31–4.42)
0.76 (0.21–2.70)
2.33 (0.31–17.80)
Soft tissue sarcoma
2.38 (1.20–4.72)
1.30 (0.78–2.19)
0.77 (0.40–1.50)
2.36 (1.17–4.78)
1.28 (0.76–2.17)
0.69 (0.34–1.38)
Melanoma of the skin
1.04 (0.62–1.74)
1.32 (0.79–2.22)
1.20 (0.57–2.55)
1.02 (0.61–1.70)
1.30 (0.78–2.17)
1.01 (0.46–2.18)
Contralateral breastf
1.17 (0.95–1.43)
0.81 (0.66–1.01)
0.45 (0.35–0.56)
1.22 (0.99–1.51)
0.82 (0.66–1.02)
0.48 (0.38–0.60)
Corpus uteri
1.36 (0.90–2.05)
1.10 (0.72–1.66)
1.03 (0.61–1.73)
1.38 (0.91–2.11)
1.10 (0.72–1.68)
1.06 (0.61–1.86)
Leukemia
1.68 (0.83–3.40)
0.72 (0.35–1.49)
0.81 (0.36–1.83)
1.78 (0.89–3.57)
0.75 (0.36–1.58)
0.83 (0.35–1.97)
Acute myeloid leukemia
3.38 (0.75–15.28)
1.45 (0.47–4.49)
1.00 (0.19–5.24)
3.47 (0.74–16.18)
1.35 (0.44–4.15)
0.92 (0.13–6.52)
Myelodysplastic syndromeg
2.31 (0.66–8.06)
2.84 (0.96–8.39)
1.36 (0.31–5.93)
2.09 (0.59–7.37)
3.01 (1.01–8.94)
1.08 (0.21–5.59)
Bold font indicates statistical significance
Abbreviations HR—Hazard Ratio, CI—Confidence interval, KP—Kaiser Permanente
aResults are presented for all second primary cancers, all second non-breast cancers, and select site-specific second cancers (overall SIRs ≥ 1.50)
bFine and Gray regression models were used to estimate subdistribution hazard ratios accounting for death and other invasive cancer (site-specific analyses only) as a competing event
cAdjusted for age at first breast cancer (continuous)
dAdjusted for age at first breast cancer (continuous), diagnosis year for first breast cancer (< 1995, 1995- < 2000, 2000- < 2005, ≥ 2005), study site (KP Colorado, KP Northwest, KP Washington), and mutually adjusted for radiotherapy (yes, no), chemotherapy (yes, no), endocrine therapy (yes, no)
eRestricted to women diagnosed with a first estrogen receptor-positive breast cancer
fExcludes women with bilateral mastectomies (n = 1,042)
gAnalyses for myelodysplastic syndrome are restricted to 2001–2017 (n = 12,746)

Discussion

This study presents a comprehensive evaluation of second cancer risk among 16,004 breast cancer survivors diagnosed and treated within an integrated health care delivery system from 1990–2017. Despite advances in breast cancer treatment, our results demonstrate that breast cancer survivors continue to have an elevated second cancer risk, and risk varied by first breast cancer characteristics and treatment. This elevated risk is consistent with prior studies among patients with older treatment regimens [513]. Further, we observed that radiotherapy, chemotherapy, and endocrine therapy continue to be important treatment-related factors in second cancer risk. Our findings indicate that approximately 1 in 9 breast cancer patients developed a second cancer, 1 in 13 developed second non-breast cancer, and 1 in 30 developed a contralateral breast cancer by 10 years. Although we observed a decline in cumulative incidence for contralateral breast cancer, there was no decline in risk for second non-breast cancers. Importantly, these absolute risk estimates have remained similar to survivors diagnosed and treated prior to 2000 despite significant treatment advances [5]. Results from our study should heighten awareness for clinical surveillance and highlight the critical need to identify strategies to reduce second cancer risk.
Site-specific second cancers have been extensively studied in breast cancer survivors over the past four decades. Consistent with previous studies, we found elevated risk for malignancies of the contralateral breast [4346], colon [510, 13, 18], pancreas [6, 8, 18], lung [58, 18, 47], oral cavity and pharynx [5, 6], uterine corpus [59, 11, 13, 14, 18], soft tissue [58, 10, 13, 14, 18], melanoma [510, 12, 13, 18], leukemia [5, 7, 8, 1215, 18], and non-Hodgkin lymphoma [7, 18]. Elevated risk for these sites support shared genetic, hormonal, and/or lifestyle risk factors, and long-term effects of breast cancer treatment [5]. Although our results are inconsistent with prior studies suggesting an overall increased risk for ovarian [58, 1015, 18] and thyroid [5, 6, 8, 18] cancers, we did observe higher risks for ovarian and thyroid cancer among younger women and ovarian cancer after ER-negative breast cancer, which may be indicative of genetic predisposition. In contrast to most prior studies, we also found elevated risk for peritoneal cancers and did not observe significantly elevated risks for malignancies of the esophagus [57, 18], bladder [7, 10, 18], or kidney [7, 13, 18]. The observed lower bladder cancer risk in our study may be related to differences in lifestyle factors among patients in the KP health care system (e.g., lower prevalence of smoking) compared with the general US population.
Our finding that breast cancer survivors have an over three-fold increased risk of contralateral breast cancer is likely related to hormonal, genetic, and other shared risk factors that predisposed women to develop the first breast cancer [5]. Although chemotherapy was associated with a statistically nonsignificant decreased risk of contralateral breast cancer in our study, several prior studies have found a significant risk reduction [16, 29, 30, 43, 48]. Few studies, however, have examined the effect of contemporary chemotherapy [16, 30], and further studies among patients treated in recent decades are warranted. In agreement with both clinical [32, 33] and observational studies [2931], we found that endocrine therapy reduced contralateral breast cancer risk by over 50%. This finding underscores the importance to improve endocrine therapy initiation and adherence in women with ER-positive breast cancer.
The relative risk of soft tissue sarcoma in breast cancer survivors compared to that expected in the general population was over three-fold in our study. Soft tissue sarcoma risk was particularly elevated among younger women and associated with radiotherapy. The association between radiotherapy and soft tissue sarcoma has been well-reported among breast cancer patients treated with older treatment regimens [7, 12, 4953]. However, a recent study in our cohort found that women treated with radiotherapy had an increased risk of developing thoracic soft tissue sarcomas, particularly angiosarcomas, but there was no association with prescribed dose, fractionation, or boost [54]. Future detailed studies examining modern treatment regimens and soft tissue sarcoma risk are warranted.
Risks of myelodysplastic syndrome and acute myeloid leukemia were also particularly elevated in our study, and we observed a three-fold increased risk of myelodysplastic syndrome associated with chemotherapy. Prior studies suggest that these elevated risks are likely related to chemotherapy [23, 5558] and to a lesser extent radiotherapy [25, 57]. Although there have been multiple clinical trials and observational studies that have identified an increased risk of myelodysplastic syndrome and acute myeloid leukemia following chemotherapy, few have examined modern regimens [56, 58]. Notably, a recent study using SEER Medicare data found an increased use of known leukemogenic agents among breast cancer patients in recent calendar years [56].
Strengths of our study include a large cohort of breast cancer survivors within an integrated health care delivery system, which systematically captures aspects of care including cancer treatment and long-term follow-up. Radiotherapy and systemic treatments in SEER are for initial treatment only and even this is known to be under ascertained and classified as “no/unknown” for a large proportion of the population [35, 59]. Therefore, our study examines associations between treatment and second cancer risk that cannot be addressed with SEER data. Our results also reflect current treatment practices within a community-setting, and thus may have stronger external validity than clinical trials and subsequently may be more generalizable to the US breast cancer survivor population. However, our results may not be generalizable to survivors without health insurance and future studies examining the impact of health insurance status on second cancer risk are warranted. Finally, we restricted reference rates to first primary cancer incidence in the general US population. Prior studies have largely used first and higher order cancer incidence to calculate the expected rates which includes treatment-related cancers and thus may underestimate the risk of developing a second cancer after breast cancer. Restricting the reference rates to first primary cancers eliminates this downward bias.
Our study also has several limitations. Although we had comprehensive cancer and treatment information, our study lacked data on family history of cancer, as well as reproductive and genetic factors, including BRCA1/2 and other mutation carrier status, and history of hysterectomy and oophorectomy. Additional studies examining the role of treatment with other shared etiologic factors, including genetic, lifestyle, and reproductive factors, are warranted to determine the primary and independent factors driving an increased risk of second cancer. It is possible that heightened medical surveillance may have contributed to elevated second cancer risks, particularly within the first 5 years after a breast cancer diagnosis. However, we found markedly elevated risks 5 + years after diagnosis which suggests that the late effects of treatment, as well as other shared etiologic factors, play an important role. Statistical power was limited to detect associations with smaller effect sizes for some site-specific second cancers, particularly among stratified models. Further, it is possible that some of the observed statistically significant associations in our study may be due to chance. Finally, our study included primarily non-Hispanic white women, and our results may not be generalizable to other races and ethnicities. Future studies among more diverse study populations are needed.

Conclusions

This study found an elevated risk of second primary cancers in a large cohort of breast cancer survivors diagnosed and treated within an integrated health care delivery system. Our findings reflect contemporary US treatment practices and highlight the importance of heightened surveillance for second cancers among breast cancer survivors treated in recent decades. Observed second cancer risks, particularly for increased risk of soft tissue sarcoma after radiotherapy and myelodysplastic syndrome after chemotherapy, and decreased risk of breast cancer with endocrine therapy, warrant further investigation to mitigate carcinogenic effects and improve endocrine therapy initiation and adherence. Continued efforts are needed to identify prevention strategies to reduce second cancer risk in breast cancer survivors.

Declarations

This study was approved by the National Institutes of Health Institutional Review Board (IRB) and by the IRBs of Kaiser Permanente Northwest, Colorado, and Washington. A waiver of written informed consent was granted based on the minimal risk of this electronic linkage-based research.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
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Literatur
1.
Zurück zum Zitat American Cancer Society. Cancer treatment & survivorship facts & figures 2019-2021. Atlanta, American Cancer Society, 2019. American Cancer Society. Cancer treatment & survivorship facts & figures 2019-2021. Atlanta, American Cancer Society, 2019.
2.
Zurück zum Zitat Berry DA, Cronin KA, Plevritis SK, Fryback DG, Clarke L, Zelen M, et al. Effect of screening and adjuvant therapy on mortality from breast cancer. N Engl J Med. 2005;353(17):1784–92.PubMedCrossRef Berry DA, Cronin KA, Plevritis SK, Fryback DG, Clarke L, Zelen M, et al. Effect of screening and adjuvant therapy on mortality from breast cancer. N Engl J Med. 2005;353(17):1784–92.PubMedCrossRef
3.
Zurück zum Zitat Sledge GW, Mamounas EP, Hortobagyi GN, Burstein HJ, Goodwin PJ, Wolff AC. Past, present, and future challenges in breast cancer treatment. J Clin Oncol. 2014;32(19):1979–86.PubMedPubMedCentralCrossRef Sledge GW, Mamounas EP, Hortobagyi GN, Burstein HJ, Goodwin PJ, Wolff AC. Past, present, and future challenges in breast cancer treatment. J Clin Oncol. 2014;32(19):1979–86.PubMedPubMedCentralCrossRef
5.
Zurück zum Zitat Curtis RE, Hankey BF, Hoover RN. New malignancies following breast cancer. In: Curtis RE, Ron E, Ries LAG, Hacker DG, Edwards BK, Tucker MA et al. editors. New malignancies among cancer survivors: SEER cancer registries, 1973–2000. Bethesda, MD, National Cancer Institute, 2006. Curtis RE, Hankey BF, Hoover RN. New malignancies following breast cancer. In: Curtis RE, Ron E, Ries LAG, Hacker DG, Edwards BK, Tucker MA et al. editors. New malignancies among cancer survivors: SEER cancer registries, 1973–2000. Bethesda, MD, National Cancer Institute, 2006.
6.
Zurück zum Zitat Brown LM, Chen BE, Pfeiffer RM, Schairer C, Hall P, Storm H, et al. Risk of second non-hematological malignancies among 376,825 breast cancer survivors. Breast Cancer Res Treat. 2007;106(3):439–51.PubMedCrossRef Brown LM, Chen BE, Pfeiffer RM, Schairer C, Hall P, Storm H, et al. Risk of second non-hematological malignancies among 376,825 breast cancer survivors. Breast Cancer Res Treat. 2007;106(3):439–51.PubMedCrossRef
7.
Zurück zum Zitat Schaapveld M, Visser O, Louwman MJ, Vries EGEd, Willemse PHB, Otter R, et al. Risk of new primary nonbreast cancers after breast cancer treatment: a dutch population-based study. J Clin Oncol. 2008;26(8):1239–46.PubMedCrossRef Schaapveld M, Visser O, Louwman MJ, Vries EGEd, Willemse PHB, Otter R, et al. Risk of new primary nonbreast cancers after breast cancer treatment: a dutch population-based study. J Clin Oncol. 2008;26(8):1239–46.PubMedCrossRef
8.
Zurück zum Zitat Mellemkjær L, Friis S, Olsen JH, Scélo G, Hemminki K, Tracey E, et al. Risk of second cancer among women with breast cancer. Int J Cancer. 2006;118(9):2285–92.PubMedCrossRef Mellemkjær L, Friis S, Olsen JH, Scélo G, Hemminki K, Tracey E, et al. Risk of second cancer among women with breast cancer. Int J Cancer. 2006;118(9):2285–92.PubMedCrossRef
9.
Zurück zum Zitat Ricceri F, Fasanelli F, Giraudo MT, Sieri S, Tumino R, Mattiello A, et al. Risk of second primary malignancies in women with breast cancer: results from the european prospective investigation into cancer and nutrition (EPIC). Int J Cancer. 2015;137(4):940–8.PubMedCrossRef Ricceri F, Fasanelli F, Giraudo MT, Sieri S, Tumino R, Mattiello A, et al. Risk of second primary malignancies in women with breast cancer: results from the european prospective investigation into cancer and nutrition (EPIC). Int J Cancer. 2015;137(4):940–8.PubMedCrossRef
10.
Zurück zum Zitat Soerjomataram I, Louwman WJ, de Vries E, Lemmens VEPP, Klokman WJ, Coebergh JWW. Primary malignancy after primary female breast cancer in the south of the Netherlands, 1972–2001. Breast Cancer Res Treat. 2005;93(1):91–5.PubMedCrossRef Soerjomataram I, Louwman WJ, de Vries E, Lemmens VEPP, Klokman WJ, Coebergh JWW. Primary malignancy after primary female breast cancer in the south of the Netherlands, 1972–2001. Breast Cancer Res Treat. 2005;93(1):91–5.PubMedCrossRef
11.
Zurück zum Zitat Molina-Montes E, Pollán M, Payer T, Molina E, Dávila-Arias C, Sánchez MJ. Risk of second primary cancer among women with breast cancer: a population-based study in Granada (Spain). Gynecol Oncol. 2013;130(2):340–5.PubMedCrossRef Molina-Montes E, Pollán M, Payer T, Molina E, Dávila-Arias C, Sánchez MJ. Risk of second primary cancer among women with breast cancer: a population-based study in Granada (Spain). Gynecol Oncol. 2013;130(2):340–5.PubMedCrossRef
12.
Zurück zum Zitat Rubino C, de Vathaire F, Diallo I, Shamsaldin A, Lê MG. Increased risk of second cancers following breast cancer: role of the initial treatment. Breast Cancer Res Treat. 2000;61(3):183–95.PubMedCrossRef Rubino C, de Vathaire F, Diallo I, Shamsaldin A, Lê MG. Increased risk of second cancers following breast cancer: role of the initial treatment. Breast Cancer Res Treat. 2000;61(3):183–95.PubMedCrossRef
13.
Zurück zum Zitat Levi F, Te VC, Randimbison L, La Vecchia C. Cancer risk in women with previous breast cancer. Ann Oncol. 2003;14(1):71–3.PubMedCrossRef Levi F, Te VC, Randimbison L, La Vecchia C. Cancer risk in women with previous breast cancer. Ann Oncol. 2003;14(1):71–3.PubMedCrossRef
14.
Zurück zum Zitat Andersson M, Jensen MB, Engholm G, Henrik SH. Risk of second primary cancer among patients with early operable breast cancer registered or randomised in Danish Breast Cancer Cooperative Group (DBCG) protocols of the 77, 82 and 89 programmes during 1977–2001. Acta oncol. 2008;47(4):755–64.PubMedCrossRef Andersson M, Jensen MB, Engholm G, Henrik SH. Risk of second primary cancer among patients with early operable breast cancer registered or randomised in Danish Breast Cancer Cooperative Group (DBCG) protocols of the 77, 82 and 89 programmes during 1977–2001. Acta oncol. 2008;47(4):755–64.PubMedCrossRef
15.
Zurück zum Zitat Kirova YM, De Rycke Y, Gambotti L, Pierga JY, Asselain B, Fourquet A. Second malignancies after breast cancer: the impact of different treatment modalities. Br J Cancer. 2008;98(5):870–4.PubMedPubMedCentralCrossRef Kirova YM, De Rycke Y, Gambotti L, Pierga JY, Asselain B, Fourquet A. Second malignancies after breast cancer: the impact of different treatment modalities. Br J Cancer. 2008;98(5):870–4.PubMedPubMedCentralCrossRef
16.
Zurück zum Zitat Langballe R, Frederiksen K, Jensen M-B, Andersson M, Cronin-Fenton D, Ejlertsen B, et al. Mortality after contralateral breast cancer in Denmark. Breast Cancer Res Treat. 2018;171(2):489–99.PubMedCrossRef Langballe R, Frederiksen K, Jensen M-B, Andersson M, Cronin-Fenton D, Ejlertsen B, et al. Mortality after contralateral breast cancer in Denmark. Breast Cancer Res Treat. 2018;171(2):489–99.PubMedCrossRef
17.
Zurück zum Zitat Molina-Montes E, Requena M, Sánchez-Cantalejo E, Fernández MF, Arroyo-Morales M, Espín J, et al. Risk of second cancers after a first primary breast cancer: a systematic review and meta-analysis. Gynecol Oncol. 2015;136(1):158–71.PubMedCrossRef Molina-Montes E, Requena M, Sánchez-Cantalejo E, Fernández MF, Arroyo-Morales M, Espín J, et al. Risk of second cancers after a first primary breast cancer: a systematic review and meta-analysis. Gynecol Oncol. 2015;136(1):158–71.PubMedCrossRef
18.
Zurück zum Zitat Mellemkjær L, Christensen J, Frederiksen K, Pukkala E, Weiderpass E, Bray F, et al. Risk of primary non–breast cancer after female breast cancer by age at diagnosis. Cancer Epidemiol Biomarkers Prev. 2011;20(8):1784–92.PubMedCrossRef Mellemkjær L, Christensen J, Frederiksen K, Pukkala E, Weiderpass E, Bray F, et al. Risk of primary non–breast cancer after female breast cancer by age at diagnosis. Cancer Epidemiol Biomarkers Prev. 2011;20(8):1784–92.PubMedCrossRef
19.
Zurück zum Zitat Sung H, Freedman RA, Siegel RL, Hyun N, DeSantis CE, Ruddy KJ, et al. Risks of subsequent primary cancers among breast cancer survivors according to hormone receptor status. Cancer. 2021;127(18):3310–24.PubMedCrossRef Sung H, Freedman RA, Siegel RL, Hyun N, DeSantis CE, Ruddy KJ, et al. Risks of subsequent primary cancers among breast cancer survivors according to hormone receptor status. Cancer. 2021;127(18):3310–24.PubMedCrossRef
20.
Zurück zum Zitat Dong C, Chen L. Second malignancies after breast cancer: the impact of adjuvant therapy. Molec Clin Oncol. 2014;2(3):331–6.CrossRef Dong C, Chen L. Second malignancies after breast cancer: the impact of adjuvant therapy. Molec Clin Oncol. 2014;2(3):331–6.CrossRef
21.
Zurück zum Zitat Patt DA, Duan Z, Fang S, Hortobagyi GN, Giordano SH. Acute myeloid leukemia after adjuvant breast cancer therapy in older women: understanding risk. J Clin Oncol. 2007;25(25):3871–6.PubMedCrossRef Patt DA, Duan Z, Fang S, Hortobagyi GN, Giordano SH. Acute myeloid leukemia after adjuvant breast cancer therapy in older women: understanding risk. J Clin Oncol. 2007;25(25):3871–6.PubMedCrossRef
22.
Zurück zum Zitat Praga C, Bergh J, Bliss J, Bonneterre J, Cesana B, Coombes RCF, et al. Risk of acute myeloid leukemia and myelodysplastic syndrome in trials of adjuvant epirubicin for early breast cancer: correlation with doses of epirubicin and cyclophosphamide. J Clin Oncol. 2005;23(18):4179–91.PubMedCrossRef Praga C, Bergh J, Bliss J, Bonneterre J, Cesana B, Coombes RCF, et al. Risk of acute myeloid leukemia and myelodysplastic syndrome in trials of adjuvant epirubicin for early breast cancer: correlation with doses of epirubicin and cyclophosphamide. J Clin Oncol. 2005;23(18):4179–91.PubMedCrossRef
23.
Zurück zum Zitat Smith RE, Bryant J, DeCillis A, Anderson S. Acute myeloid leukemia and myelodysplastic syndrome after doxorubicin-cyclophosphamide adjuvant therapy for operable breast cancer: the National Surgical Adjuvant Breast and Bowel Project experience. J Clin Oncol. 2003;21(7):1195–204.PubMedCrossRef Smith RE, Bryant J, DeCillis A, Anderson S. Acute myeloid leukemia and myelodysplastic syndrome after doxorubicin-cyclophosphamide adjuvant therapy for operable breast cancer: the National Surgical Adjuvant Breast and Bowel Project experience. J Clin Oncol. 2003;21(7):1195–204.PubMedCrossRef
24.
Zurück zum Zitat Moebus V, Jackisch C, Lueck H-J, Bois Ad, Thomssen C, Kurbacher C, et al. Intense dose-dense sequential chemotherapy with epirubicin, paclitaxel, and cyclophosphamide compared with conventionally scheduled chemotherapy in high-risk primary breast cancer: mature results of an ago phase III study. J Clin Oncol. 2010;28(17):2874–80.PubMedCrossRef Moebus V, Jackisch C, Lueck H-J, Bois Ad, Thomssen C, Kurbacher C, et al. Intense dose-dense sequential chemotherapy with epirubicin, paclitaxel, and cyclophosphamide compared with conventionally scheduled chemotherapy in high-risk primary breast cancer: mature results of an ago phase III study. J Clin Oncol. 2010;28(17):2874–80.PubMedCrossRef
25.
Zurück zum Zitat Curtis RE, Boice JD, Stovall M, Bernstein L, Greenberg RS, Flannery JT, et al. Risk of leukemia after chemotherapy and radiation treatment for breast cancer. N Engl J Med. 1992;326(26):1745–51.PubMedCrossRef Curtis RE, Boice JD, Stovall M, Bernstein L, Greenberg RS, Flannery JT, et al. Risk of leukemia after chemotherapy and radiation treatment for breast cancer. N Engl J Med. 1992;326(26):1745–51.PubMedCrossRef
26.
Zurück zum Zitat Fisher B, Rockette H, Fisher ER, Wickerham DL, Redmond C, Brown A. Leukemia in breast cancer patients following adjuvant chemotherapy or postoperative radiation: the NSABP experience. J Clin Oncol. 1985;3(12):1640–58.PubMedCrossRef Fisher B, Rockette H, Fisher ER, Wickerham DL, Redmond C, Brown A. Leukemia in breast cancer patients following adjuvant chemotherapy or postoperative radiation: the NSABP experience. J Clin Oncol. 1985;3(12):1640–58.PubMedCrossRef
27.
Zurück zum Zitat Berrington de Gonzalez A, Curtis RE, Gilbert E, Berg CD, Smith SA, Stovall M, et al. Second solid cancers after radiotherapy for breast cancer in SEER cancer registries. Br J Cancer. 2010;102(1):220–6.PubMedCrossRef Berrington de Gonzalez A, Curtis RE, Gilbert E, Berg CD, Smith SA, Stovall M, et al. Second solid cancers after radiotherapy for breast cancer in SEER cancer registries. Br J Cancer. 2010;102(1):220–6.PubMedCrossRef
28.
Zurück zum Zitat Morton LM, Gilbert ES, Hall P, Andersson M, Joensuu H, Vaalavirta L, et al. Risk of treatment-related esophageal cancer among breast cancer survivors. Ann Oncol. 2012;23(12):3081–91.PubMedPubMedCentralCrossRef Morton LM, Gilbert ES, Hall P, Andersson M, Joensuu H, Vaalavirta L, et al. Risk of treatment-related esophageal cancer among breast cancer survivors. Ann Oncol. 2012;23(12):3081–91.PubMedPubMedCentralCrossRef
29.
Zurück zum Zitat Bertelsen L, Bernstein L, Olsen JH, Mellemkjær L, Haile RW, Lynch CF, et al. Effect of systemic adjuvant treatment on risk for contralateral breast cancer in the Women’s Environment, Cancer and Radiation Epidemiology study. J Natl Cancer Ins. 2008;100(1):32–40.CrossRef Bertelsen L, Bernstein L, Olsen JH, Mellemkjær L, Haile RW, Lynch CF, et al. Effect of systemic adjuvant treatment on risk for contralateral breast cancer in the Women’s Environment, Cancer and Radiation Epidemiology study. J Natl Cancer Ins. 2008;100(1):32–40.CrossRef
30.
Zurück zum Zitat Kramer I, Schaapveld M, Oldenburg HSA, Sonke GS, McCool D, van Leeuwen FE, Van de Vijver KK, Russell NS, Linn SC, Siesling S, et al. The influence of adjuvant systemic regimens on contralateral breast cancer risk and receptor subtype. J Natl Cancer Ins. 2019;111(7):709–18.CrossRef Kramer I, Schaapveld M, Oldenburg HSA, Sonke GS, McCool D, van Leeuwen FE, Van de Vijver KK, Russell NS, Linn SC, Siesling S, et al. The influence of adjuvant systemic regimens on contralateral breast cancer risk and receptor subtype. J Natl Cancer Ins. 2019;111(7):709–18.CrossRef
31.
Zurück zum Zitat Gierach GL, Curtis RE, Pfeiffer RM, Mullooly M, Ntowe EA, Hoover RN, N, et al. 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. 2017;3(2):186–93.PubMedCrossRef Gierach GL, Curtis RE, Pfeiffer RM, Mullooly M, Ntowe EA, Hoover RN, N, et al. 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. 2017;3(2):186–93.PubMedCrossRef
32.
Zurück zum Zitat Early Breast Cancer Trialists’ Collaborative group. Aromatase inhibitors versus tamoxifen in early breast cancer: patient-level meta-analysis of the randomised trials. Lancet. 2015;386(10001):1341–52. Early Breast Cancer Trialists’ Collaborative group. Aromatase inhibitors versus tamoxifen in early breast cancer: patient-level meta-analysis of the randomised trials. Lancet. 2015;386(10001):1341–52.
33.
Zurück zum Zitat Early Breast Cancer Trialists' Collaborative group. Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials. Lancet. 2011;378(9793):771–84. Early Breast Cancer Trialists' Collaborative group. Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials. Lancet. 2011;378(9793):771–84.
34.
Zurück zum Zitat Wong SM, Freedman RA, Sagara Y, Aydogan F, Barry WT, Golshan M. Growing use of contralateral prophylactic mastectomy despite no improvement in long-term survival for invasive breast cancer. Ann Surg. 2017;265(3):581–9.PubMedCrossRef Wong SM, Freedman RA, Sagara Y, Aydogan F, Barry WT, Golshan M. Growing use of contralateral prophylactic mastectomy despite no improvement in long-term survival for invasive breast cancer. Ann Surg. 2017;265(3):581–9.PubMedCrossRef
35.
Zurück zum Zitat Noone A-M, Lund JL, Mariotto A, Cronin K, McNeel T, Deapen D, et al. Comparison of SEER treatment data with medicare claims. Med Care. 2016;54(9):e55–64.PubMedPubMedCentralCrossRef Noone A-M, Lund JL, Mariotto A, Cronin K, McNeel T, Deapen D, et al. Comparison of SEER treatment data with medicare claims. Med Care. 2016;54(9):e55–64.PubMedPubMedCentralCrossRef
36.
Zurück zum Zitat Fritz APC, Jack A, Shanmugaratnam K, Sobin L, Parkin MD, Whelan S. International classification of diseases for oncology. 3rd ed. Geneva: World Health Organization; 2000. Fritz APC, Jack A, Shanmugaratnam K, Sobin L, Parkin MD, Whelan S. International classification of diseases for oncology. 3rd ed. Geneva: World Health Organization; 2000.
37.
Zurück zum Zitat Kleinerman RA, Schonfeld SJ, Sigel BS, Wong-Siegel JR, Gilbert ES, Abramson DHS, et al. Bone and soft-tissue sarcoma risk in long-term survivors of hereditary retinoblastoma treated with radiation. J Clin Oncol. 2019;37(35):3436–45.PubMedPubMedCentralCrossRef Kleinerman RA, Schonfeld SJ, Sigel BS, Wong-Siegel JR, Gilbert ES, Abramson DHS, et al. Bone and soft-tissue sarcoma risk in long-term survivors of hereditary retinoblastoma treated with radiation. J Clin Oncol. 2019;37(35):3436–45.PubMedPubMedCentralCrossRef
38.
Zurück zum Zitat Steliarova-Foucher E, Stiller C, Lacour B, Kaatsch P. International classification of childhood cancer, 3rd edition. Cancer. 2005;103(7):1457–67.PubMedCrossRef Steliarova-Foucher E, Stiller C, Lacour B, Kaatsch P. International classification of childhood cancer, 3rd edition. Cancer. 2005;103(7):1457–67.PubMedCrossRef
39.
Zurück zum Zitat Coviello V, Boggess M. Cumulative incidence estimation in the presence of competing risks. Stata J. 2004;4(2):103–12.CrossRef Coviello V, Boggess M. Cumulative incidence estimation in the presence of competing risks. Stata J. 2004;4(2):103–12.CrossRef
40.
Zurück zum Zitat Yasui Y, Liu Y, Neglia JP, Friedman DL, Bhatia S, Meadows AT, et al. A methodological issue in the analysis of second-primary cancer incidence in long-term survivors of childhood cancers. Am J Epidemiol. 2003;158(11):1108–13.PubMedCrossRef Yasui Y, Liu Y, Neglia JP, Friedman DL, Bhatia S, Meadows AT, et al. A methodological issue in the analysis of second-primary cancer incidence in long-term survivors of childhood cancers. Am J Epidemiol. 2003;158(11):1108–13.PubMedCrossRef
41.
Zurück zum Zitat Rostgaard K. Methods for stratification of person-time and events – a prerequisite for poisson regression and SIR estimation. Epidemiol Perspect Innov. 2008;5(1):7.PubMedPubMedCentralCrossRef Rostgaard K. Methods for stratification of person-time and events – a prerequisite for poisson regression and SIR estimation. Epidemiol Perspect Innov. 2008;5(1):7.PubMedPubMedCentralCrossRef
42.
Zurück zum Zitat Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk. JASA. 1999;94(446):496–509.CrossRef Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk. JASA. 1999;94(446):496–509.CrossRef
43.
Zurück zum Zitat Chen Y, Thompson W, Semenciw R, Mao Y. Epidemiology of contralateral breast cancer. Cancer Epidemiol Biomarkers Prev. 1999;8(10):855–61.PubMed Chen Y, Thompson W, Semenciw R, Mao Y. Epidemiology of contralateral breast cancer. Cancer Epidemiol Biomarkers Prev. 1999;8(10):855–61.PubMed
44.
Zurück zum Zitat Gao X, Fisher SG, Emami B. Risk of second primary cancer in the contralateral breast in women treated for early-stage breast cancer: a population-based study. Int J Radiat Oncol Biol Phys. 2003;56(4):1038–45.PubMedCrossRef Gao X, Fisher SG, Emami B. Risk of second primary cancer in the contralateral breast in women treated for early-stage breast cancer: a population-based study. Int J Radiat Oncol Biol Phys. 2003;56(4):1038–45.PubMedCrossRef
45.
Zurück zum Zitat Bazire L, De Rycke Y, Asselain B, Fourquet A, Kirova YM. Risks of second malignancies after breast cancer treatment: long-term results. Cancer/Radiothér. 2017;21(1):10–5.PubMedCrossRef Bazire L, De Rycke Y, Asselain B, Fourquet A, Kirova YM. Risks of second malignancies after breast cancer treatment: long-term results. Cancer/Radiothér. 2017;21(1):10–5.PubMedCrossRef
46.
Zurück zum Zitat Ramin C, Withrow DR, Davis Lynn BC, Gierach GL, Berrington de González A. Risk of contralateral breast cancer according to first breast cancer characteristics among women in the USA, 1992–2016. Breast Cancer Res. 2021;23(1):24.PubMedPubMedCentralCrossRef Ramin C, Withrow DR, Davis Lynn BC, Gierach GL, Berrington de González A. Risk of contralateral breast cancer according to first breast cancer characteristics among women in the USA, 1992–2016. Breast Cancer Res. 2021;23(1):24.PubMedPubMedCentralCrossRef
47.
Zurück zum Zitat Schonfeld SJ, Curtis RE, Anderson WF, Berrington de González A. The risk of a second primary lung cancer after a first invasive breast cancer according to estrogen receptor status. Cancer Causes Control. 2012;23(10):1721–8.PubMedPubMedCentralCrossRef Schonfeld SJ, Curtis RE, Anderson WF, Berrington de González A. The risk of a second primary lung cancer after a first invasive breast cancer according to estrogen receptor status. Cancer Causes Control. 2012;23(10):1721–8.PubMedPubMedCentralCrossRef
48.
Zurück zum Zitat Schaapveld M, Visser O, Louwman WJ, Willemse PHB, de Vries EGE, van der Graaf WTA, et al. The impact of adjuvant therapy on contralateral breast cancer risk and the prognostic significance of contralateral breast cancer: a population based study in the netherlands. Breast Cancer Res Treat. 2008;110(1):189–97.PubMedCrossRef Schaapveld M, Visser O, Louwman WJ, Willemse PHB, de Vries EGE, van der Graaf WTA, et al. The impact of adjuvant therapy on contralateral breast cancer risk and the prognostic significance of contralateral breast cancer: a population based study in the netherlands. Breast Cancer Res Treat. 2008;110(1):189–97.PubMedCrossRef
49.
50.
Zurück zum Zitat Huang J, Mackillop WJ. Increased risk of soft tissue sarcoma after radiotherapy in women with breast carcinoma. Cancer. 2001;92(1):172–80.PubMedCrossRef Huang J, Mackillop WJ. Increased risk of soft tissue sarcoma after radiotherapy in women with breast carcinoma. Cancer. 2001;92(1):172–80.PubMedCrossRef
51.
Zurück zum Zitat Kirova YM, Vilcoq JR, Asselain B, Sastre-Garau X, Fourquet A. Radiation-induced sarcomas after radiotherapy for breast carcinoma. Cancer. 2005;104(4):856–63.PubMedCrossRef Kirova YM, Vilcoq JR, Asselain B, Sastre-Garau X, Fourquet A. Radiation-induced sarcomas after radiotherapy for breast carcinoma. Cancer. 2005;104(4):856–63.PubMedCrossRef
52.
Zurück zum Zitat Rubino C, Shamsaldin A, Lê MG, Labbé M, Guinebretière J-M, Chavaudra J, et al. Radiation dose and risk of soft tissue and bone sarcoma after breast cancer treatment. Breast Cancer Res Treat. 2005;89(3):277–88.PubMedCrossRef Rubino C, Shamsaldin A, Lê MG, Labbé M, Guinebretière J-M, Chavaudra J, et al. Radiation dose and risk of soft tissue and bone sarcoma after breast cancer treatment. Breast Cancer Res Treat. 2005;89(3):277–88.PubMedCrossRef
53.
Zurück zum Zitat Yap J, Chuba PJ, Thomas R, Aref A, Lucas D, Severson RK, et al. Sarcoma as a second malignancy after treatment for breast cancer. Int J Radiat Oncol Biol Phys. 2002;52(5):1231–7.PubMedCrossRef Yap J, Chuba PJ, Thomas R, Aref A, Lucas D, Severson RK, et al. Sarcoma as a second malignancy after treatment for breast cancer. Int J Radiat Oncol Biol Phys. 2002;52(5):1231–7.PubMedCrossRef
54.
Zurück zum Zitat Veiga LHS, Vo JB, Curtis RE, Mille MM, Lee C, Ramin C, Bodelon C, Aiello Bowles EJ, Buist DSM, Weinmann S, et al. Treatment-related thoracic soft tissue sarcomas in US breast cancer survivors: a retrospective cohort study. Lancet Oncol. 2022;23(11):1451–64.PubMedCrossRef Veiga LHS, Vo JB, Curtis RE, Mille MM, Lee C, Ramin C, Bodelon C, Aiello Bowles EJ, Buist DSM, Weinmann S, et al. Treatment-related thoracic soft tissue sarcomas in US breast cancer survivors: a retrospective cohort study. Lancet Oncol. 2022;23(11):1451–64.PubMedCrossRef
55.
Zurück zum Zitat Wolff AC, Blackford AL, Visvanathan K, Rugo HS, Moy B, Goldstein LJ, et al. Risk of marrow neoplasms after adjuvant breast cancer therapy: the national comprehensive cancer network experience. J Clin Oncol. 2015;33(4):340–8.PubMedCrossRef Wolff AC, Blackford AL, Visvanathan K, Rugo HS, Moy B, Goldstein LJ, et al. Risk of marrow neoplasms after adjuvant breast cancer therapy: the national comprehensive cancer network experience. J Clin Oncol. 2015;33(4):340–8.PubMedCrossRef
56.
Zurück zum Zitat Morton LM, Dores GM, Schonfeld SJ, Linet MS, Sigel BS, Lam CJK, et al. Association of chemotherapy for solid tumors with development of therapy-related myelodysplastic syndrome or acute myeloid leukemia in the modern era. JAMA Oncol. 2019;5(3):318–25.PubMedCrossRef Morton LM, Dores GM, Schonfeld SJ, Linet MS, Sigel BS, Lam CJK, et al. Association of chemotherapy for solid tumors with development of therapy-related myelodysplastic syndrome or acute myeloid leukemia in the modern era. JAMA Oncol. 2019;5(3):318–25.PubMedCrossRef
57.
Zurück zum Zitat Kaplan HG, Malmgren JA, Atwood MK. Increased incidence of myelodysplastic syndrome and acute myeloid leukemia following breast cancer treatment with radiation alone or combined with chemotherapy: a registry cohort analysis 1990–2005. BMC Cancer. 2011;11(1):260.PubMedPubMedCentralCrossRef Kaplan HG, Malmgren JA, Atwood MK. Increased incidence of myelodysplastic syndrome and acute myeloid leukemia following breast cancer treatment with radiation alone or combined with chemotherapy: a registry cohort analysis 1990–2005. BMC Cancer. 2011;11(1):260.PubMedPubMedCentralCrossRef
58.
Zurück zum Zitat Rosenstock AS, Niu J, Giordano SH, Zhao H, Wolff AC, Chavez-MacGregor M. Acute myeloid leukemia and myelodysplastic syndrome after adjuvant chemotherapy: a population-based study among older breast cancer patients. Cancer. 2018;124(5):899–906.PubMedCrossRef Rosenstock AS, Niu J, Giordano SH, Zhao H, Wolff AC, Chavez-MacGregor M. Acute myeloid leukemia and myelodysplastic syndrome after adjuvant chemotherapy: a population-based study among older breast cancer patients. Cancer. 2018;124(5):899–906.PubMedCrossRef
59.
Zurück zum Zitat Sung H, Hyun N, Leach CR, Yabroff KR, Jemal A. Association of first primary cancer with risk of subsequent primary cancer among survivors of adult-onset cancers in the united states. JAMA. 2020;324(24):2521–35.PubMedPubMedCentralCrossRef Sung H, Hyun N, Leach CR, Yabroff KR, Jemal A. Association of first primary cancer with risk of subsequent primary cancer among survivors of adult-onset cancers in the united states. JAMA. 2020;324(24):2521–35.PubMedPubMedCentralCrossRef
Metadaten
Titel
Risk of second primary cancer among women in the Kaiser Permanente Breast Cancer Survivors Cohort
verfasst von
Cody Ramin
Lene H. S. Veiga
Jacqueline B. Vo
Rochelle E. Curtis
Clara Bodelon
Erin J. Aiello Bowles
Diana S. M. Buist
Sheila Weinmann
Heather Spencer Feigelson
Gretchen L. Gierach
Amy Berrington de Gonzalez
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
Breast Cancer Research / Ausgabe 1/2023
Elektronische ISSN: 1465-542X
DOI
https://doi.org/10.1186/s13058-023-01647-y

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