The importance of genetic and other risk factors in the development of breast cancer after radiotherapy (RT) for Hodgkin lymphoma (HL) has not been determined. We analyzed data from a breast cancer case-control study (105 patients, 266 control subjects) conducted among 3 817 survivors of HL diagnosed at age 30 years or younger in 6 population-based cancer registries. Odds ratios (ORs) and excess relative risks (ERRs) were calculated using conditional regression. Women who received RT exposure (≥ 5 Gy radiation dose to the breast) had a 2.7-fold increased breast cancer risk (95% confidence interval (CI) 1.4-5.2), compared with those given less than 5 Gy. RT exposure (≥ 5 Gy) was associated with an OR of 0.8 (95% CI, 0.2-3.4) among women with a first- or second-degree family history of breast or ovarian cancer, and 5.8 (95% CI, 2.1-16.3) among all other women (interaction P = .03). History of a live birth appeared to increase the breast cancer risk associated with RT among women not treated with ovarian-damaging therapies. Breast cancer risk following RT varied little according to other factors. The additional increased relative risk of breast cancer after RT for HL is unlikely to be larger among women with a family history of breast or ovarian cancer than among other women.

Young women (aged ≤ 30 years) treated with chest radiotherapy for Hodgkin lymphoma (HL) have among the highest breast cancer incidence rates of any population, outside familial cancer syndromes. Compared with the general population, breast cancer risks have been elevated 4- to 56-fold in treated women.1,2  In a recent international case-control study,3  young women who received a radiation dose of 4 Gy or higher to the area of the breast in which cancer developed had a 2- to 8-fold increased risk compared with women who received lower doses. Similar findings were reported in a Dutch investigation of women aged 40 years or younger treated for HL,4  nearly 80% of whom were included in the international study. Yet, many young women who receive chest radiation doses of up to 60 Gy do not develop breast cancer, suggesting that endogenous or exogenous exposures mitigate risk. In other radiation-exposed populations, factors that have influenced breast cancer relative risk for a given dose include age at exposure and attained (current) age, with the highest relative risks for both evident at the youngest ages.5,6  Relative risk rarely has been elevated among women exposed after 50 years of age,5-8  a possible surrogate for menopause.

Women who develop de novo breast cancer before the age of 50 years or before menopause have a risk factor profile that differs somewhat from that of women diagnosed at older ages or after menopause.9,10  A family history of breast cancer and a benign breast disease diagnosis are generally stronger risk factors for breast cancer in younger (< 50 years old) than in older women.11,12  In addition, reproductive factors such as age at first full-term pregnancy and number of live births commonly have a relatively minor effect on breast cancer risk at young ages, while they are established risk factors for older-onset cancer.13  Compared with nulliparous women, parous women are likely to have an increased risk at young ages, possibly concentrated within 3 to 10 years of pregnancy, and a reduced risk at older ages.13-16  Similarly, women in the lowest quartile of body mass index generally have an increased risk of breast cancer before age 50, compared with heavier women, but a reduced risk thereafter.17  The consistency of such findings has led to the consideration of pre- and postmenopausal breast cancer as diseases with distinct etiologies.

In several investigations, these and other established risk factors for breast cancer have been examined as possible modifiers of risk among women exposed to radiation.18-21  Although none emerged as strong or consistent risk modifiers, identification may have been hampered by small numbers of cases, or by inclusion primarily of women who were either postmenopausal or long-term breast cancer survivors.

In this investigation, we examined whether breast cancer risk factors might modify risk among a group of young women (≤ 30 years old) who received radiation to the breast during HL treatment.

A detailed description of the study methods has been published.3  General population features are summarized in Table 1. A cohort of 3 817 female 1-year survivors of HL, diagnosed at 30 years of age or younger between January 1, 1965, and December 31, 1994, was followed through September 30, 1999, in 6 population-based cancer registries (Iowa, Denmark, Finland, Sweden, Canada, and 4 affiliated tumor registries in the Netherlands: The Netherlands Cancer Institute, the Dr Daniel den Hoed Cancer Center, Leiden University Medical Center, and Catharina Hospital Eindhoven). Record linkage methods were used to identify 105 cohort members diagnosed with primary breast cancer. At least 2 controls for each confirmed case were selected by stratified random sampling, matching on registry, age at HL diagnosis (± 3 years), calendar year of HL diagnosis (± 5 years), and survival after HL for at least as long as the breast cancer case, resulting in a total of 266 matched controls. The median age at HL diagnosis was 22 years (range, 13-30 years; Table 1), and the median age at breast cancer diagnosis was 41 years (range, 27-57 years). The study was exempted from review by the National Cancer Institute (NCI) Institutional Review Board because it used only existing and anonymized data.

Table 1.

Characteristics of women diagnosed with Hodgkin lymphoma (HL) at age 30 years or younger who developed breast cancer, and matched controls




Patients, no. (%); n = 105

Matched control subjects, no. (%); n = 266
Cancer registry   
    Denmark   15 (14.3)   29 (10.9)  
    Finland   10 (9.5)   19 (7.1)  
    Iowa   4 (3.8)   8 (3.0)  
    The Netherlands   40 (38.1)   138 (51.9)  
    Ontario   20 (19.1)   40 (15.0)  
    Sweden   16 (15.2)   32 (12.0)  
Age at diagnosis of HL, y   
    13-21   50 (47.6)   120 (45.2)  
    22-30   55 (52.4)   146 (54.8)  
Year of diagnosis of HL   
    Earlier than 1970   34 (32.4)   68 (25.6)  
    1970-79   61 (58.1)   165 (62.0)  
    1980-94   10 (9.5)   33 (12.4)  
Age at diagnosis of breast cancer/cutoff date in controls, y   
    27-41   58 (55.2)   139 (52.3)  
    42-57   47 (44.8)   127 (47.7)  
Treatment for HL   
    Radiation dose to specific breast location, Gy    
    0-4.9   23 (21.9)   95 (35.7)  
    5.0-23.0   23 (21.9)   47 (17.7)  
    23.1-37.1   29 (27.6)   63 (23.7)  
    37.2-61.3   30 (28.6)   61 (22.9)  
Alkylating agent chemotherapy    
    No   68 (64.8)   132 (49.6)  
    Yes   37 (35.2)   134 (50.4)  
Radiation dose to ovaries, Gy    
    Lower than 5   98 (93.3)   226 (85.0)  
    5 or higher   7 (6.7)   40 (15.0)  
Interval to breast cancer, y    
    1-4   0   NA  
    5-14   31 (29.6)   NA  
    15-24   60 (57.1)   NA  
≥ 25
 
14 (13.3)
 
NA
 



Patients, no. (%); n = 105

Matched control subjects, no. (%); n = 266
Cancer registry   
    Denmark   15 (14.3)   29 (10.9)  
    Finland   10 (9.5)   19 (7.1)  
    Iowa   4 (3.8)   8 (3.0)  
    The Netherlands   40 (38.1)   138 (51.9)  
    Ontario   20 (19.1)   40 (15.0)  
    Sweden   16 (15.2)   32 (12.0)  
Age at diagnosis of HL, y   
    13-21   50 (47.6)   120 (45.2)  
    22-30   55 (52.4)   146 (54.8)  
Year of diagnosis of HL   
    Earlier than 1970   34 (32.4)   68 (25.6)  
    1970-79   61 (58.1)   165 (62.0)  
    1980-94   10 (9.5)   33 (12.4)  
Age at diagnosis of breast cancer/cutoff date in controls, y   
    27-41   58 (55.2)   139 (52.3)  
    42-57   47 (44.8)   127 (47.7)  
Treatment for HL   
    Radiation dose to specific breast location, Gy    
    0-4.9   23 (21.9)   95 (35.7)  
    5.0-23.0   23 (21.9)   47 (17.7)  
    23.1-37.1   29 (27.6)   63 (23.7)  
    37.2-61.3   30 (28.6)   61 (22.9)  
Alkylating agent chemotherapy    
    No   68 (64.8)   132 (49.6)  
    Yes   37 (35.2)   134 (50.4)  
Radiation dose to ovaries, Gy    
    Lower than 5   98 (93.3)   226 (85.0)  
    5 or higher   7 (6.7)   40 (15.0)  
Interval to breast cancer, y    
    1-4   0   NA  
    5-14   31 (29.6)   NA  
    15-24   60 (57.1)   NA  
≥ 25
 
14 (13.3)
 
NA
 

NA indicates not applicable.

For all patients, detailed data regarding HL treatment were used to estimate radiation dose to the area of the breast in which cancer developed and the comparable area in controls. In our previously published findings,3  breast cancer risk increased with radiation dose, with risk elevated 8-fold among women who received a breast dose of greater than 40 Gy. Women treated with alkylating agent chemotherapy (35% of breast cancer cases, 50% of controls) experienced a 40% reduction in breast cancer risk, and risk was reduced 60% among women who received a radiation dose of 5 Gy or greater to the ovaries (6% of cases, 15% of controls). Radiation doses less than 5 Gy to the ovaries were not associated with breast cancer risk.

Breast cancer risk factors were collected primarily using a structured data collection instrument to abstract medical records, and at a few sites, self-administered interviews4  or linkage to national cancer registries (to obtain family cancer history) were also used (Denmark, Finland). Each control was assigned a cutoff date, analogous to the breast cancer diagnosis date in the matched case, and only information on experiences prior to the cutoff date was included. To determine whether the results were sensitive to data collection methods, we conducted analyses in which data from each participating registry were consecutively excluded.

Conditional regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the relationship between breast cancer risk factors, radiation dose to the breast, and breast cancer risk among the matched case-control sets. Cutpoints for categoric variables were selected in part to allow calculation of statistical interactions on a multiplicative scale, using medians or quartiles of control distributions when possible. Only 1 case and 10 controls were not treated with radiotherapy. Thus, to obtain a sufficient number of unexposed women in subgroups for interaction analyses, the reference group was defined as women who had received a lower than 5 Gy breast dose (23 cases, 95 controls) (previous cutpoint of lower than 4 Gy3  did not allow interaction analyses). In some analyses, finite estimates of relative risk on a continuous dose scale could only be obtained using a modified dose variable that set doses lower than 5 Gy to 0. To evaluate interaction on a multiplicative scale, we fitted the model:

\[\ \mathrm{OR}=\mathrm{exp}({\Sigma}_{\mathrm{j}}{\alpha}_{\mathrm{j}}\mathrm{x}_{\mathrm{j}}+{\beta}_{1}\mathrm{z}_{1}+{\beta}_{2}\mathrm{z}_{2}+{\gamma}\mathrm{z}_{1}\mathrm{z}_{2})\ \]

where exp (Σj αj xj) is the background risk, which may be adjusted for variables xj, z1 is an indicator variable for the breast cancer risk factor of interest; and z2 denotes radiation dose. Departure from the multiplicative model was evaluated by testing whether γ (the “Interaction OR”) = 0 (exp γ= 1.0). Interaction was also evaluated on an additive relative risk scale by fitting the model:

\[\ \mathrm{OR}=[\mathrm{exp}({\Sigma}_{\mathrm{j}}{\alpha}_{\mathrm{j}}\mathrm{x}_{\mathrm{j}})][1+{\beta}_{1}\mathrm{z}_{1}+{\beta}_{2}\mathrm{z}_{2}+{\gamma}\mathrm{z}_{1}\mathrm{z}_{2}].\ \]

The parameter γ is known as the RERI (relative excess risk attributable to interaction), or the ICR (interaction contrast ratio),22,23  and equals the relative excess risk in those with both risk factors (RR11-1) that remains after subtracting the relative excess risk for each individual factor in the absence of the other (RR01-1) and (RR10-1). An ICR equaling 0 indicates an exact additive relation between the 2 risk factors, while an ICR greater than 0 suggests a greater than additive effect, and an ICR less than 0 implies a less than additive joint effect. We also calculated γ* = (β2 +γ)/β2, which is the ratio of radiotherapy (RT)–related excess relative risks (ERRs) when the risk factor is present compared with when it is absent. Although this case-control study cannot directly evaluate absolute risks, the ratio of the ERRs for those with and without the factor of interest expressed relative to a common baseline should be pertinent to this comparison. Multiplicative models were examined using SAS software version 8 (SAS Institute, Cary, NC), and additive relative risk models were examined using the Pecan module of the software package EPICURE (HiroSoft International, Seattle, WA).

Analyses regarding ever having a live birth, age at first and number of births, timing of births in relation to HL or breast cancer diagnoses, or oral contraceptive use were limited to women who did not receive HL treatment with alkylating agents (AAs) and who received a less than 5 Gy radiation dose to the ovaries, as those treatments can alter ovarian function,24  induce menopause, influence childbearing, and also reduce breast cancer risk.3,4,25 

Factors considered as potential confounders in the analysis included age at menarche, body mass index at HL diagnosis, age at menopause, menopausal status, ever having a live birth, age at first and number of live births, timing of live births in relation to diagnosis of HL or breast cancer, first- or second-degree family history of breast or ovarian cancer, and oral contraceptive use. Analyses were adjusted for HL treatment, including breast radiation dose, number of cycles of AA, and radiation dose of 5 Gy or higher to the ovaries, except as noted.

Women with a first- and/or second-degree family history of breast or ovarian cancer had a 2.5-fold increased breast cancer risk (95% CI, 1.2-5.3), compared with those without such history (Table 2). Differences between cases and controls with regard to other breast cancer risk factors generally resembled those identified in previous studies of premenopausal women (Table 2). Breast cancer risk was reduced among women who received AA chemotherapy or radiation of 5 Gy or higher to the ovaries, which may induce early menopause,3,26  and the lower risk among exposed women who were postmenopausal at study end should be interpreted in that context. Since cancer treatment may affect fertility in patients with HL, only women who did not receive AA or radiation of 5 Gy or higher to the ovaries (n = 68 patients, 125 control subjects) were included in analyses regarding reproductive factors or oral contraceptive use. These factors, however, had little influence on breast cancer excesses.

Table 2.

Risk of breast cancer among women diagnosed with Hodgkin lymphoma (HL) at age 30 years or younger according to treatment for HL and breast cancer risk factors




Patients, no. (%)

Matched control subjects, no. (%)

Odds ratio adjusted,*(95% CI)
Among all women: patients, n = 105 and matched control subjects, n = 266    
Age at menarche, y     
    Older than 12   43 (41.0)   106 (39.8)   1.0  
    12 or younger   28 (26.7)   51 (19.2)   1.2 (0.7-2.3)  
    Unknown   34 (32.3)   109 (41.0)   —  
Body mass index at HL diagnosis, kg/m2    
    Less than 19.5   30 (28.6)   53 (20.0)   1.0  
    19.5-21.1   14 (13.3)   52 (19.5)   0.5 (0.2-1.2)  
    21.2-23.3   17 (16.2)   51 (19.2)   0.5 (0.2-1.1)  
    23.4 or greater   14 (13.3)   52 (19.5)   0.4 (0.2-0.9)  
    Unknown   30 (28.6)   58 (21.8)   —  
1st or 2nd degree relative with breast or ovarian cancer     
    No   46 (43.8)   129 (48.5)   1.0  
    Yes   28 (26.7)   28 (10.5)   2.5 (1.2-5.3)  
    Unknown   46 (43.8)   129 (48.5)   1.0  
Menopausal status#    
    Pre/perimenopausal     
        No AA and radiation to ovaries, lower than 5 Gy   51 (72.9)   86 (64.7)   1.0  
        AA or radiation to ovaries, 5 Gy or higher   20 (27.1)   47 (35.3)   0.7 (0.3-1.5)  
    Postmenopausal     
        No AA and radiation to ovaries, less than 5 Gy   11 (52.0)   13 (15.3)   1.0  
        AA or radiation to ovaries ≥ 5 Gy   12 (48.0)   72 (84.7)   0.2 (0.1-1.3)  
        Unknown   11   48   —  
Treatment for HL, radiation dose to specific breast location, Gy     
    0-4.9   23 (21.9)   95 (3517)   1.0  
    5.0-61.3   82 (78.1)   171 (64.3)   2.7 (1.4-5.2)  
    Risk per Gy   —   —   1.04 (1.0-1.07)  
Among women who did not receive AA and who received RT to ovaries lower than 5 Gy: patients, n = 68; matched control subjects, n = 125    
    Ever had a live birth§    
        No   17 (25.0)   29 (23.2)   1.0  
        Yes   51 (75.0)   94 (75.2)   0.9 (0.4-1.9)  
        Unknown   0   2 (1.6)   —  
    Age at first live birth, y    
        22 or younger   15 (22.1)   27 (21.6)   1.0  
        23-26   19 (27.9)   29 (23.2)   1.0 (0.5-2.2)  
        27 or older   16 (23.5)   32 (25.6)   0.9 (0.4-2.2)  
        Unknown   1 (1.5)   8 (6.4)   —  
        Nulliparous or no live births   17 (25.0)   29 (23.2)   —  
    No. of live births    
        1   14 (20.6)   20 (16.0)   1.0  
        2   19 (27.9)   44 (35.2)   0.8 (0.3-2.4)  
        3 or more   18 (26.5)   30 (24.0)   0.9 (0.3-2.5)  
        Unknown   0   2 (1.6)   —  
        Nulliparous or no live births   17 (25.0)   29 (23.2)   —  
    Timing of live births    
        All live births before HL   14 (20.6)   20 (16.0)   1.0  
        All live births after HL   27 (39.7)   51 (40.8)   0.8 (0.3-2.1)  
        Live births before and after HL   10 (14.7)   18 (14.4)   0.7 (0.3-2.1)  
        Unknown   0   7 (5.6)   —  
        Nulliparous or no live births   17 (25.0)   29 (23.2)   —  
    Oral contraceptive use§    
        Never   20 (29.4)   29 (23.2)   1.0  
        Ever   37 (54.4)   77 (61.6)   1.0 (0.5-2.2)  
        1-6 y   9 (13.2)   29 (23.2)   0.9 (0.3-2.4)  
        7 or more y   20 (29.4)   28 (22.4)   1.9 (0.7-5.0)  
        Duration unknown   8 (11.8)   20 (16.0)   —  
        Unknown
 
11 (16.2)
 
19 (15.2)
 

 



Patients, no. (%)

Matched control subjects, no. (%)

Odds ratio adjusted,*(95% CI)
Among all women: patients, n = 105 and matched control subjects, n = 266    
Age at menarche, y     
    Older than 12   43 (41.0)   106 (39.8)   1.0  
    12 or younger   28 (26.7)   51 (19.2)   1.2 (0.7-2.3)  
    Unknown   34 (32.3)   109 (41.0)   —  
Body mass index at HL diagnosis, kg/m2    
    Less than 19.5   30 (28.6)   53 (20.0)   1.0  
    19.5-21.1   14 (13.3)   52 (19.5)   0.5 (0.2-1.2)  
    21.2-23.3   17 (16.2)   51 (19.2)   0.5 (0.2-1.1)  
    23.4 or greater   14 (13.3)   52 (19.5)   0.4 (0.2-0.9)  
    Unknown   30 (28.6)   58 (21.8)   —  
1st or 2nd degree relative with breast or ovarian cancer     
    No   46 (43.8)   129 (48.5)   1.0  
    Yes   28 (26.7)   28 (10.5)   2.5 (1.2-5.3)  
    Unknown   46 (43.8)   129 (48.5)   1.0  
Menopausal status#    
    Pre/perimenopausal     
        No AA and radiation to ovaries, lower than 5 Gy   51 (72.9)   86 (64.7)   1.0  
        AA or radiation to ovaries, 5 Gy or higher   20 (27.1)   47 (35.3)   0.7 (0.3-1.5)  
    Postmenopausal     
        No AA and radiation to ovaries, less than 5 Gy   11 (52.0)   13 (15.3)   1.0  
        AA or radiation to ovaries ≥ 5 Gy   12 (48.0)   72 (84.7)   0.2 (0.1-1.3)  
        Unknown   11   48   —  
Treatment for HL, radiation dose to specific breast location, Gy     
    0-4.9   23 (21.9)   95 (3517)   1.0  
    5.0-61.3   82 (78.1)   171 (64.3)   2.7 (1.4-5.2)  
    Risk per Gy   —   —   1.04 (1.0-1.07)  
Among women who did not receive AA and who received RT to ovaries lower than 5 Gy: patients, n = 68; matched control subjects, n = 125    
    Ever had a live birth§    
        No   17 (25.0)   29 (23.2)   1.0  
        Yes   51 (75.0)   94 (75.2)   0.9 (0.4-1.9)  
        Unknown   0   2 (1.6)   —  
    Age at first live birth, y    
        22 or younger   15 (22.1)   27 (21.6)   1.0  
        23-26   19 (27.9)   29 (23.2)   1.0 (0.5-2.2)  
        27 or older   16 (23.5)   32 (25.6)   0.9 (0.4-2.2)  
        Unknown   1 (1.5)   8 (6.4)   —  
        Nulliparous or no live births   17 (25.0)   29 (23.2)   —  
    No. of live births    
        1   14 (20.6)   20 (16.0)   1.0  
        2   19 (27.9)   44 (35.2)   0.8 (0.3-2.4)  
        3 or more   18 (26.5)   30 (24.0)   0.9 (0.3-2.5)  
        Unknown   0   2 (1.6)   —  
        Nulliparous or no live births   17 (25.0)   29 (23.2)   —  
    Timing of live births    
        All live births before HL   14 (20.6)   20 (16.0)   1.0  
        All live births after HL   27 (39.7)   51 (40.8)   0.8 (0.3-2.1)  
        Live births before and after HL   10 (14.7)   18 (14.4)   0.7 (0.3-2.1)  
        Unknown   0   7 (5.6)   —  
        Nulliparous or no live births   17 (25.0)   29 (23.2)   —  
    Oral contraceptive use§    
        Never   20 (29.4)   29 (23.2)   1.0  
        Ever   37 (54.4)   77 (61.6)   1.0 (0.5-2.2)  
        1-6 y   9 (13.2)   29 (23.2)   0.9 (0.3-2.4)  
        7 or more y   20 (29.4)   28 (22.4)   1.9 (0.7-5.0)  
        Duration unknown   8 (11.8)   20 (16.0)   —  
        Unknown
 
11 (16.2)
 
19 (15.2)
 

 

—indicates not calculated.

*

All risk factor analyses were adjusted for breast radiation dose, ovarian radiation dose, and number of cycles of AA chemotherapy. Women who had an unknown radiation dose to the breast (1 patient, 7 control subjects) or an unknown radiation dose to the ovaries (4 control subjects) were assigned the median dose in controls, 23.0 Gy or 0.44 Gy, respectively.

Pre- and postmenopausal women did not differ in breast cancer risk according to body mass index (measured at the time of HL diagnosis), thus only combined results are presented. P = .02 for trend in risk by quartile of body mass index; P = .01 for trend in risk by body mass index on a continuous scale.

Adjusted for breast radiation dose only. Treatment with AA chemotherapy or receiving a dose to the ovary of 5 Gy or higher can induce menopause; odds ratios presented separately for those that received such treatment to illustrate the need to exclude these women from selected analyses. When adjusted only for breast radiation dose, all postmenopausal women combined had a reduced breast cancer risk (OR 0.3; 95% CI 0.2-0.7), relative to pre/perimenopausal women.

§

As treatment with AA chemotherapy or receiving a dose to the ovary 5 Gy or higher could potentially influence the timing and number of children by reducing fertility, women who received these treatments (n = 37 patients, 141 control subjects) were considered unexposed in these analyses and placed in a separate category by an indicator variable.

Among women who had experienced a live birth only.

Analyses regarding age at first live birth were adjusted for number of live births (1, 2, or 3 or more) and analyses regarding number of live births and timing of live births were adjusted for age at first live birth (22 years and younger, 23-26 years, or 27 or older).

#

At breast cancer diagnosis (patients) or study cutoff date (control subjects).

Overall, women who received a breast radiation dose of 5 Gy or higher had a 2.7-fold increased breast cancer risk, relative to women who received lower doses (Table 2). For most risk factors in Table 2, there was no statistically significant interaction between the risk factor and radiation in relation to breast cancer risk, in either multiplicative or additive RR models (data not shown). However, the effect of a 5 Gy or higher breast radiation dose on risk differed between women with a first- or second-degree family history of breast or ovarian cancer (OR = 0.8, 95% CI 0.2-3.4), and those without a family history (corresponding OR 5.8, 95% CI 2.1-16.3; Interaction OR = 0.1; 95% CI 0.03-0.8; interaction P = .03) (Table 3). To assess whether the cutpoint at 5 Gy influenced this finding, risk modification by radiation dose also was analyzed on a continuous scale (Gy). Women who reported a first- or second-degree relative with breast or ovarian cancer also had a lower odds ratio estimate per increasing unit of breast dose (Gy) than women without such history (Interaction OR = 0.93 per Gy; 95% CI 0.89-0.99; interaction P = .005). The lower odds ratio persisted when breast or ovarian cancer family history was confined to first-degree relatives (interaction P = .005), and when examined only among study sites that used cancer registry data or interviews to ascertain family history (interaction P = .04). The interaction did not change substantially when data from any of the 6 participating cancer registries were omitted.

Table 3.

Risk of breast cancer among women diagnosed with Hodgkin Lymphoma (HL) at age 30 years or younger according to radiotherapy and family history of breast/ovarian cancer in first- or second-degree relatives



Data from all women: patients, n = 105 and matched control subjects, n = 266
Characteristic
Exposure
Cases, no (%)
Controls, no. (%)
Adjusted OR (95% CI)
Effect ≥ 5 Gy, OR (95% CI)
FH*  RT > 5 Gy      No FH*  Positive FH* 
No   No   8 (7.6)   53 (19.9)   1.0 (reference)   1.0 (reference)   —  
No   Yes   38 (36.2)   76 (28.6)   5.8 (2.1-16.3)   5.8 (2.1-16.3)   —  
Yes   No   8 (7.6)   7 (2.6)   11.5 (2.5-52.6)   —   1.0 (reference)  
Yes   Yes   20 (19.0)   21 (7.9)   9.5 (3.0-30.1)§  —   0.8 (0.2-3.4)  
Unknown
 

 
31 (29.5)
 
109 (41.0)
 

 

 

 


Data from all women: patients, n = 105 and matched control subjects, n = 266
Characteristic
Exposure
Cases, no (%)
Controls, no. (%)
Adjusted OR (95% CI)
Effect ≥ 5 Gy, OR (95% CI)
FH*  RT > 5 Gy      No FH*  Positive FH* 
No   No   8 (7.6)   53 (19.9)   1.0 (reference)   1.0 (reference)   —  
No   Yes   38 (36.2)   76 (28.6)   5.8 (2.1-16.3)   5.8 (2.1-16.3)   —  
Yes   No   8 (7.6)   7 (2.6)   11.5 (2.5-52.6)   —   1.0 (reference)  
Yes   Yes   20 (19.0)   21 (7.9)   9.5 (3.0-30.1)§  —   0.8 (0.2-3.4)  
Unknown
 

 
31 (29.5)
 
109 (41.0)
 

 

 

 

—indicates not calculated; reference, the reference group for the odds ratio comparison.

†Analyses were adjusted for ovarian radiation dose, and number of cycles of AA chemotherapy.

*

History of breast and/or ovarian cancer in a first or second degree relative.

Women who had an unknown breast radiation dose (n = 1 patient; 7 control subjects) or an unknown ovarian dose (n = 4 control subjects) were assigned the median dose in controls (2300 cGy and 44.5 cGy, respectively) in these analyses.

§

Interaction OR (multiplicative scale): breast dose of 5 Gy or more and 1st or 2nd degree family history, 0.14 (95% CI, 0.03-0.81); breast dose on a continuous scale and 1st or 2nd degree family history, 0.93 (95% CI, 0.89-0.99); breast dose on a continuous scale and 1st degree family history (14 patients, 15 control subjects), 0.91 (95% CI, 0.85-0.98). Interaction contrast ratio (ICR; additive RR scale): breast dose of 5 Gy or more and 1st or 2nd degree family history, -6.8 (95% CI, -52.4-+7.8); modified breast dose on a continuous scale and 1st or 2nd degree family history, -0.22 (95% CI, -1.1-+0.27); modified breast dose on a continuous scale and 1st degree family history, -0.33 (95% CI, not estimated to +.03).

Since the nature of the relationship between radiation, other risk factors, and breast cancer risk has not been characterized in patients with HL, additive relative risk models incorporating family history were also evaluated. The joint effects of family history (first or second degree) and radiation dose were somewhat less than would be expected from adding the 2 risk factors, for either a dose cutpoint of 5 Gy or higher or radiation dose on a continuous scale (Gy), although neither interaction was significant. However, when family history was defined to include only first-degree relatives, the ERR added with each Gy (above 5 Gy) was –.16 (95% CI, –.40-+.23) among women with a family history, and +.17 (95% CI, .05-.51) among women without such history (ICR –.33; 95% CI, < –.33-+.03) (additive interaction P = .07), suggesting a joint effect that might be less than adding the 2 risk factors, and a possible difference in dose-response between the 2 groups. The ratio of these ERRs (γ*) was –0.9 (95% CI, < –0.9-+1.2), that is, the absolute excess risk in women with a family history was estimated to be smaller and unlikely to exceed by more than a factor of 1.2 the absolute excess risk in women without such history. Thus, the additive and multiplicative RR models were generally consistent in suggesting that the relative risk associated with radiation exposure was not higher among women with a family history than among other women, and might be lower.

In addition to family history, breast cancer relative risk following radiation exposure also appeared to differ somewhat by parity status. Among women who had experienced a live birth, those who received a breast radiation dose of 5 Gy or higher had a 3.5-fold elevated breast cancer risk (95% CI, 1.4-8.9) compared with women who received lower doses, while among women who had not had a live birth, the corresponding OR was 1.1 (95% CI, 0.3-4.7) (Interaction OR 3.1; 95% CI, 0.6-17.2; interaction P = .20) (Table 4). In an analysis examining breast radiation dose on a continuous scale, women who had experienced a live birth had a greater increase in breast cancer relative risk with increasing radiation dose than women who had not (Interaction OR 1.06; 95% CI, 1.01-1.12; interaction P = .04). This finding is unlikely to be explained by altered ovarian function due to treatment because women who received AA or ovarian doses of 5 Gy were excluded from these analyses. We examined whether ovarian doses lower than 5 Gy could have altered ovarian function among included women, possibly accounting for the findings. Breast cancer risk was not reduced among women who received ovarian doses of 0.2 to 0.92 Gy or 0.93 to 4.99 Gy (tertiles) compared with those who received ovarian doses lower than 0.2 Gy. In addition, the interaction between a live birth and breast radiation dose (Gy) persisted even among women who received ovarian radiation doses lower than 1 Gy (63% of patients, 65% of control subjects; data not shown). The interaction was not altered when data were excluded from any contributing cancer registry except the Netherlands (largest contributor); among remaining registries the statistical power was lower, and the relationship was similar in direction and magnitude, but no longer significant. In additive RR models, the effect on risk of a breast radiation dose of 5 Gy or higher or per Gy (continuous dose variable) did not differ among women who had a live birth versus those who had not (additive interaction P = .31 and .20, respectively).

Table 4.

Risk of breast cancer among women diagnosed with HL at age 30 years or younger according to radiotherapy and history of a live birth



Among women who did not receive AA and who received RT to ovaries < 5 Gy*: patients, n = 68 and matched control subjects, n = 125
Characteristic
Exposure
Patients, no. (%)
Control subjects, no. (%)
Adjusted OR (95% CI)
Effect ≥ 5 Gy, OR (95% CI)
Live birth  RT > 5 Gy      No live births   Live births  
No   No   5 (7.4)   7 (5.6)   1.0 (reference)   1.0 (reference)   —  
No   Yes   12 (17.6)   22 (17.6)   1.1 (0.3-4.7)   1.1 (0.3-4.7)   —  
Yes   No   10 (14.7)   39 (31.2)   0.4 (0.1-1.6)   —   1.0 (reference)  
Yes   Yes   41 (60.3)   55 (44.0)   1.4 (0.4-4.8)§  —   3.5 (1.4-8.9)  
Unknown
 

 
0
 
2 (1.6)
 

 

 

 


Among women who did not receive AA and who received RT to ovaries < 5 Gy*: patients, n = 68 and matched control subjects, n = 125
Characteristic
Exposure
Patients, no. (%)
Control subjects, no. (%)
Adjusted OR (95% CI)
Effect ≥ 5 Gy, OR (95% CI)
Live birth  RT > 5 Gy      No live births   Live births  
No   No   5 (7.4)   7 (5.6)   1.0 (reference)   1.0 (reference)   —  
No   Yes   12 (17.6)   22 (17.6)   1.1 (0.3-4.7)   1.1 (0.3-4.7)   —  
Yes   No   10 (14.7)   39 (31.2)   0.4 (0.1-1.6)   —   1.0 (reference)  
Yes   Yes   41 (60.3)   55 (44.0)   1.4 (0.4-4.8)§  —   3.5 (1.4-8.9)  
Unknown
 

 
0
 
2 (1.6)
 

 

 

 

—indicates not calculated; reference, the reference group for the odds ratio comparison.

*

Women who had an unknown breast radiation dose (n = 1 case; 7 controls) or an unknown ovarian dose (n = 4 controls) were assigned the median dose in controls (2300 cGy, 44.5 cGy, respectively) in these analyses.

As these treatments can induce menopause and influence the probability of having a live birth, exposed women were excluded from this analysis.

Information regarding stillbirths, which are included in the definition of parity, was not collected for some women, thus only live births are included.

§

Interaction OR (multiplicative scale): breast dose of 5 Gy or more and ever had a live birth, 3.1 (95% CI, 0.6-17.2); breast dose on a continuous scale and ever had a live birth, 1.06 (95% CI, 1.01-1.12). Interaction contrast ratio (ICR; additive RR scale: breast dose of 5 Gy or more and ever had a live birth, 0.93 (-1.8-+3.36); breast dose on a continuous scale and ever had a live birth, 0.05 (95% CI, -.20-+.22).

Among women who had a live birth before HL diagnosis, breast cancer risk was not influenced by the relative timing of most recent birth in relation to HL diagnosis (Table 5). Women whose most recent live birth after HL diagnosis was within 60 months (control median) had a 2.6-fold elevated breast cancer risk, relative to those whose most recent birth occurred at a longer interval (who thus were also fertile after HL treatment). The timing of live births in relation to breast cancer diagnosis/study cutoff date had no appreciable influence on breast cancer risk.

Table 5.

Risk of breast cancer among women diagnosed with HL at age 30 years or younger who had a live birth, according to timing of live births




Patients, no (%)

Matched control subjects, no. (%)

Odds ratio, adjusted*(95% CI)
Among women who did not receive AA or RT to ovaries ≥ 5 Gy, and also had ≥ 1 live birth: patients (n = 50) and matched control subjects (n = 96)    
    Most recent live birth preceding HL    
        Live birth 16 mos. or more   13 (54.2)   16 (43.2)   1.0  
        Live birth 16 mos. or less   10 (41.7)   16 (43.2)   1.2 (0.40-3.4)  
        Unknown   1 (4.1)   5 (13.6)   —  
Among women who did not receive AA and who received < 5 Gy RT to ovaries, and also had ≥ 1 live birth: patients (n = 50) and matched control subjects (n = 96)    
    Most recent live birth following HL    
        Live birth later than 60 mos.   10 (27.0)   33 (44.6)   1.0  
        Live birth at 60 mos. or earlier   25 (67.6)   33 (44.6)   2.6 (1.0-6.7)  
        Unknown   2 (5.4)   8 (10.8)   —  
Among women who did not receive AA and who received < 5 Gy RT to ovaries, and had ≥ 1 live birth: Patients (n = 50) and matched control subjects (n = 96)    
    Time elapsed btw, most recent live birth and BC diagnosis/control cutoff date, y     
        20 or more   11 (22.0)   20 (20.8)   1.0  
        15-19   16 (32.0)   23 (24.0)   1.0 (0.3-3.6)  
        10-14   8 (16.0)   18 (18.8)   0.5 (0.1-2.8)  
        5-9   8 (16.0)   10 (10.4)   0.9 (0.2-4.4)  
        5 or less   6 (12.0)   13 (13.5)   0.6 (0.1-7.4)  
        Unknown parity or timing of most recent birth
 
1 (2.0)
 
12 (12.5)
 

 



Patients, no (%)

Matched control subjects, no. (%)

Odds ratio, adjusted*(95% CI)
Among women who did not receive AA or RT to ovaries ≥ 5 Gy, and also had ≥ 1 live birth: patients (n = 50) and matched control subjects (n = 96)    
    Most recent live birth preceding HL    
        Live birth 16 mos. or more   13 (54.2)   16 (43.2)   1.0  
        Live birth 16 mos. or less   10 (41.7)   16 (43.2)   1.2 (0.40-3.4)  
        Unknown   1 (4.1)   5 (13.6)   —  
Among women who did not receive AA and who received < 5 Gy RT to ovaries, and also had ≥ 1 live birth: patients (n = 50) and matched control subjects (n = 96)    
    Most recent live birth following HL    
        Live birth later than 60 mos.   10 (27.0)   33 (44.6)   1.0  
        Live birth at 60 mos. or earlier   25 (67.6)   33 (44.6)   2.6 (1.0-6.7)  
        Unknown   2 (5.4)   8 (10.8)   —  
Among women who did not receive AA and who received < 5 Gy RT to ovaries, and had ≥ 1 live birth: Patients (n = 50) and matched control subjects (n = 96)    
    Time elapsed btw, most recent live birth and BC diagnosis/control cutoff date, y     
        20 or more   11 (22.0)   20 (20.8)   1.0  
        15-19   16 (32.0)   23 (24.0)   1.0 (0.3-3.6)  
        10-14   8 (16.0)   18 (18.8)   0.5 (0.1-2.8)  
        5-9   8 (16.0)   10 (10.4)   0.9 (0.2-4.4)  
        5 or less   6 (12.0)   13 (13.5)   0.6 (0.1-7.4)  
        Unknown parity or timing of most recent birth
 
1 (2.0)
 
12 (12.5)
 

 

—indicates not calculated; BC, breast cancer.

*

Analyses were adjusted for age at first live birth (≤ 22y, 23-26y, and ≥ 27y).

Columns do not add to 50 patients and 96 control subjects because some women had a live birth both before and after HL, and are counted in both analyses, while others are counted only once.

No previous study to date has examined the influence of breast cancer risk factors and radiation dose in relation to breast cancer risk among young women treated for HL. Extensive efforts were made to estimate radiation dose to the area where the breast tumor occurred, and that received by the ovaries, and to collect details regarding cytotoxic drug treatment. Information regarding factors that might modify breast cancer risk in young women is important, as the cumulative incidence may approach 20% by 45 years of age among women treated before 17 years of age.2 

Our data suggest that among women with a first- or second-degree family history of breast or ovarian cancer, the additional increase in relative risk of breast cancer with increasing radiation dose probably does not exceed that of women without such history, and it may be lower. The combined effect of family history and breast radiation dose (on a categoric [≥ 5 Gy] or continuous [Gy] scale) was less than that expected from multiplying the 2 risk factors, thus we were able to reject a multiplicative model in favor of a submultiplicative model. In additive RR models, the combined effects were in the direction of less than additive. While information regarding breast or ovarian cancer family history may have been more completely ascertained among breast cancer cases than controls, misclassification that differs by case-control status, when assessing an interaction, usually biases the interaction risk estimate toward the null (OR = 1.0),27  and is unlikely to account for the observations. Our findings also are supported by the persistence of altered breast cancer risk among women from sites that collected information from cancer registries or questionnaires, and among women with a first-degree family history only.

Some evidence supports the possibility that women with a family history of breast or ovarian cancer may have an altered response to radiation. Family history frequently reflects the effect of rare, highly penetrant alterations in genes such as BRCA1, BRCA2, TP53, and PTEN.28  After 1-10 Gy radiation, cell lines deficient in BRCA1 or BRCA2 have demonstrated widespread cell death and a reduced capacity to repair DNA damage,29,30  suggesting that in mutation carriers, unrepaired damaged cells might undergo cell death rather than serve as cancer-initiating cells. In our study, the area of the breast where the tumor occurred received a median dose of 24.8 Gy (median, 20.2 Gy to comparable area in control subjects), a dose likely to induce cell death in a substantial proportion of radiosensitive cells. The prevalence of BRCA1 or BRCA2 mutation carriers,31,32  however, is too low to account entirely for our findings. BRCA1, BRCA2, and the putative breast cancer susceptibility gene mutated in ataxia telangiectasia (ATM) interact in the cellular response to radiation-induced DNA damage.33,34  Individuals diagnosed with AT35  and heterozygous carriers of ATM missense variants36,37  may have an increased HL risk, and may be overrepresented in our population. In one study, HL survivors who carried ATM missense alterations were less likely to develop breast cancer following RT than noncarriers,36  suggesting a possible differential effect of treatment, while ATM-truncating mutations have not been identified among HL survivors who developed breast cancer.38,39 

Our data also suggest that the dose-response relationship between breast radiation exposure and subsequent cancer risk may be stronger, on a multiplicative but not an additive RR scale, among young women who have ever had a live birth. Women who received therapies associated with ovarian damage were excluded from this analysis, and we did not find indirect evidence of diminished fertility among included women. In animal experiments, mammary tumor incidence has been considerably higher among rats irradiated with 2.6 Gy while pregnant (92%) or lactating (90%-96%) than among virgin animals (26%-33%).40-42  Increased production of prolactin during pregnancy and lactation has been implicated as 1 factor promoting mammary carcinogenesis: in another investigation, the incidence of mammary tumors in rats was 2% after low-dose irradiation alone, 41.6% if a prolactin-secreting pituitary transplant was given shortly afterward, and 24% if the prolactin-secreting transplantation was given 12 months after irradiation.43  In some13-16  but not all44,45  epidemiologic studies, premenopausal breast cancer risk has been increased among parous women or specifically among women who gave birth within the previous 3 to 10 years, consistent with the possible growth-promoting effects of elevated gestational hormones. In the Nurses' Health Study, the increased risk among parous women seems to persist for at least 20 to 30 years following a first pregnancy.13  In our study, parous women who delivered infants within 60 months after HL had a further increased risk relative to other parous women. Although a critical postexposure period has not been identified, the hormonal milieu in the years following radiation exposure appears to act as a primary breast cancer determinant: women exposed after 40 to 49 years of age do not have an increased risk,5,7,8  and younger women who also receive therapies that decrease ovarian function or induce menopause have a reduced risk.25,26 

Our results should be considered in light of the study strengths and limitations. Breast cancer risk factor information was collected primarily from medical records; thus, patient data were missing less often than control subject data, although any misclassification should bias the interaction OR estimate toward the null (1.0).27  Even though these analyses were conducted within the largest study to date of breast cancer following HL, sample sizes in various subgroups were small, limiting statistical power to detect differences in stratum-specific odds ratios. Given the unknown nature of the interaction between therapeutic doses of radiation and breast cancer risk factors, we tested for joint effects on more than one statistical scale, which may increase the probability of false-positive findings.46  In addition, doses much lower than 5 Gy have been associated with increased breast cancer risk,6,47,48  and interaction estimates should be attenuated with inclusion of such exposure in the reference group, thus interaction also was examined with RT dose on a continuous scale.

Women included in our study received very high radiation doses to the breast; thus, our results, if verified in similar populations, may not be generalizable to those who receive lower doses. Smaller radiotherapy fields and doses are used in current HL treatment protocols, and some AAs (ie, mechlorethamine) that affect fertility are now administered infrequently, and the effects of these newer treatment strategies have not been evaluated. Our results suggest that the additional increase in breast cancer relative risk after radiotherapy for HL is unlikely to be larger among women with a family history of breast or ovarian cancer than among other women. Consideration of breast cancer risk factors may offer insights regarding the increased breast cancer risk following radiotherapy for HL, and perhaps holds promise for identification of subgroups with altered susceptibility, and subsequent application of risk-adapted therapy.

Prepublished online as Blood First Edition Paper, July 28, 2005; DOI 10.1182/blood-2005-04-1535.

Supported by the Intramural Research Program of the Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD.

The publication costs of this article were defrayed in part by page charge payment. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 U.S.C. section 1734.

1
Dores GM, Metayer C, Curtis RE, et al. Second malignant neoplasms among long-term survivors of Hodgkin's disease: a population-based evaluation over 25 years.
J Clin Oncol
.
2002
;
20
:
3484
-3494.
2
Bhatia S, Yasui Y, Robison LL, et al. High risk of subsequent neoplasms continues with extended follow-up of childhood Hodgkin's disease: report from the Late Effects Study Group.
J Clin Oncol
.
2003
;
21
:
4386
-4394.
3
Travis LB, Hill DA, Dores GM, et al. Breast cancer following radiotherapy and chemotherapy among young women with Hodgkin disease.
JAMA
.
2003
;
290
:
465
-475.
4
Van Leeuwen FE, Klokman WJ, Stovall M, et al. Roles of radiation dose, chemotherapy, and hormonal factors in breast cancer following Hodgkin's disease.
J Natl Cancer Inst
.
2003
;
95
:
971
-980.
5
Preston DL, Mattsson A, Holmberg E, et al. Radiation effects on breast cancer risk: a pooled analysis of eight cohorts.
Radiat Res
.
2002
;
15
:
220
-235.
6
Land CE, Tokunaga M, Koyama K, et al. Incidence of female breast cancer among atomic bomb survivors, Hiroshima and Nagasaki, 1950-1990.
Radiat Res
.
2003
;
160
:
707
-717.
7
Boice JD Jr, Harvey EB, Blettner M, Stovall M, Flannery JT. Cancer in the contralateral breast after radiotherapy for breast cancer.
N Engl J Med
.
1992
;
326
:
781
-785.
8
Storm HH, Andersson M, Boice JD Jr, et al. Adjuvant radiotherapy and risk of contralateral breast cancer.
J Natl Cancer Inst
.
1992
;
84
:
1245
-1250.
9
Velentgas P, Daling JR. Risk factors for breast cancer in younger women.
J Natl Cancer Inst Monogr
.
1994
;
16
:
15
-24.
10
Althuis MD, Brogan DD, Coates RJ, et al. Breast cancers among very young premenopausal women (United States).
Cancer Causes Control
.
2003
;
14
:
151
-160.
11
Roseman DL, Straus AK, Shorey W. A positive family history of breast cancer: does its effect diminish with age?
Arch Intern Med
.
1990
;
150
:
191
-194.
12
Collaborative Group on Hormonal Factors in Breast Cancer. Familial breast cancer: collaborative reanalysis of individual data from 52 epidemiological studies including 58 209 women with breast cancer and 101 986 women without the disease.
Lancet
.
2001
;
358
:
1389
-1399.
13
Rosner B, Colditz GA. Nurses' health study: log-incidence mathematical model of breast cancer incidence.
J Natl Cancer Inst
.
1996
;
88
:
359
-364.
14
Lambe M, Hsieh C, Trichopoulos D, Ekbom A, Pavia M, Adami HO. Transient increase in the risk of breast cancer after giving birth.
N Engl J Med
.
1994
;
331
:
5
-9.
15
Albrektsen G, Heuch I, Kvale G. The short-term and long-term effect of a pregnancy on breast cancer risk: a prospective study of 802,457 parous Norwegian women.
Br J Cancer
.
1995
;
72
:
480
-484.
16
Leon DA, Carpenter LM, Broeders MJ, Gunnarskog J, Murphy MF. Breast cancer in Swedish women before age 50: evidence of a dual effect of completed pregnancy.
Cancer Causes Control
.
1995
;
6
:
283
-291.
17
Van den Brandt PA, Spiegelman D, Yaun SS, et al. Pooled analysis of prospective cohort studies on height, weight, and breast cancer risk.
Am J Epidemiol
.
2000
;
152
:
514
-527.
18
Boice JD, Stone BJ. Interaction between radiation and other breast cancer risk factors. In:
Late Biological Effects of Ionizing Radiation
. Vienna, Austria: International Atomic Energy Agency;
1980
:
231
-249.
19
Holmberg E, Holm LE, Lundell M, Mattsson A, Wallgren A, Karlsson P. Excess breast cancer risk and the role of parity, age at first childbirth and exposure to radiation in infancy.
Br J Cancer
.
2001
;
85
:
362
-366.
20
Land CE, Hayakawa N, Machado SG, et al. A case-control interview study of breast cancer among Japanese A-bomb survivors, II: interactions with radiation dose.
Cancer Causes Control
.
1994
;
5
:
167
-176.
21
Shore RE, Woodard ED, Hempelmann LH, Pasternick BS. Synergism between radiation and other risk factors for breast cancer.
Prev Med
.
1980
;
9
:
815
-822.
22
Rothman KJ.
Modern Epidemiology
. 1st ed. Boston, MA: Little, Brown and Co.;
1986
:
323
-325.
23
Rauscher GH, Sandler DP, Poole C, et al. Is family history of breast cancer a marker of susceptibility to exposures in the incidence of de-novo adult acute leukemia?
Cancer Epidemiol Biomarkers Prev
.
2003
;
12
:
289
-294.
24
Andrieu JM, Ochoa-Molina ME. Menstrual cycle, pregnancies and offspring before and after MOPP therapy for Hodgkin's disease.
Cancer
.
1983
;
52
:
435
-438.
25
Darby SC, Reeves G, Key T, Doll R, Stovall M. Mortality in a cohort of women given X-ray therapy for metropathia haemorrhagica.
Int J Cancer
.
1994
;
56
:
793
-801.
26
Boice JD Jr, Blettner M, Kleinerman RA, et al. Radiation dose and breast cancer risk in patients treated for cancer of the cervix.
Int J Cancer
.
1989
;
44
:
7
-16.
27
Garcia-Closas M, Rothman N, Lubin L. Misclassification in case-control studies of gene-environment interactions:assessment of bias and sample size.
Cancer Epidemiol Biomarkers Prev
.
1999
;
8
:
1043
-1050.
28
Couch FJ, Weber BL. Breast cancer. In: Vogelstein B, Kinzler KW, eds.
The Genetic Basis of Human Cancer
. New York, NY: McGraw-Hill;
1998
:
537
-564.
29
Sharan SK, Morimatsu M, Albrecht U, et al. Embryonic lethality and radiation hypersensitivity mediated by Rad51 in mice lacking Brca2.
Nature
.
1999
;
386
:
804
-810.
30
Ruffner H, Joazeiro CA, Hemmati D, Hunter T, Verma IM. cancer-predisposing mutations within the RING domain of BRCA1: loss of ubiquitin protein ligase activity and protection from radiation hypersensitivity.
Proc Natl Acad Sci U S A
.
2001
;
98
:
5134
-5139.
31
Frank TS, Manley SA, Olopade OI, et al. Sequence analysis of BRCA1 and BRCA2: correlation of mutations with family history and ovarian cancer risk.
J Clin Oncol
.
1998
;
16
:
2417
-2425.
32
Peto J, Collins N, Barfoot R, et al. Prevalence of BRCA1 and BRCA2 gene mutations in patients with early-onset breast cancer.
J Natl Cancer Inst
.
1999
;
91
:
943
-949.
33
Cortez D, Wang Y, Qin J, et al. Requirement of ATM-dependent phosphorylation of BRCA1 in the DNA damage response to double-strand breaks.
Science
.
1999
;
286
:
1162
-1166.
34
Dong Y, Hakimi MA, Chen X, et al. Regulation of BRCC, a holoenzyme complex containing BRCA1 and BRCA2, by a signalosome-like subunit and its role in DNA repair.
Mol Cell
.
2003
;
12
:
1087
-1099.
35
Stankovic T, Kidd AM, Sutcliffe A, et al. ATM mutations and phenotypes in ataxia-telangiectasia families in the British Isles: expression of mutant ATM and the risk of leukemia, lymphoma, and breast cancer.
Am J Hum Genet
.
1998
;
62
:
334
-345.
36
Offit K, Gilad S, Paglin S, et al. Rare variants of ATM and risk for Hodgkin's disease and radiation-associated breast cancers.
Clin Cancer Res
.
2002
;
8
:
3813
-3819.
37
Takagi M, Tsuchida R, Oguchi K, et al. Identification and characterization of polymorphic variations of the ataxia telangiectasia mutated ATM gene in childhood Hodgkin disease.
Blood
.
2004
;
103
:
283
-290.
38
Nichols KE, Levitz S, Shannon KE, et al. Heterozygous germline ATM mutations do not contribute to radiation-associated malignancies after Hodgkin's disease.
J Clin Oncol
.
1999
;
17
:
1259
-1266.
39
Broeks A, Russell NS, Floore AN, et al. Increased risk of breast cancer following irradiation for Hodgkin's disease is not a result of ATM germline mutations.
Int J Radiat Biol
.
2000
;
76
:
693
-698.
40
Suzuki K, Ishii-Ohba H, Yamanouchi H, et al. Susceptibility of lactating rat mammary glands to gamma-ray-irradiation-induced tumorigenesis.
Int J Cancer
.
1994
;
56
:
413
-417.
41
Inano H, Suzuki K, Onoda M, et al. Susceptibility of fetal, virgin, pregnant and lactating rats for the induction of mammary tumors by gamma rays.
Radiat Res
.
1996
;
145
:
708
-713.
42
Inano H, Onoda M, Suzuki K, et al. Radiation-induced mammary tumors in virgin and parous rats administered contraceptive steroids, 17-alpha-ethinylestradiol and norethisterone.
Carcinogenesis
.
2000
;
21
:
1043
-1050.
43
Yokoro K, Sumi C, Ito A, et al. Mammary carcinogenic effect of low-dose fission radiation in Wistar/Furth rats and its dependency on prolactin.
J Natl Cancer Inst
.
1980
;
64
:
1459
-1466.
44
Adami HO, Bergstrom R, Lund E, et al. Absence of association between reproductive variables and the risk of breast cancer in young women in Sweden and Norway.
Br J Cancer
.
1990
;
62
:
122
-126.
45
Cummings P, Stanford JL, Daling JR, et al. Risk of breast cancer in relation to the interval since last full term pregnancy.
Br Med J
.
1994
;
308
:
1672
-1674.
46
Starr JR, McKnight B. Assessing interaction in case-control studies: type I errors when using both additive and multiplicative scales.
Epidemiology
.
2004
;
15
:
422
-427.
47
Mattsson A, Ruden BI, Hall P, et al. Radiation-induced breast cancer: long-term follow-up of radiation therapy for benign breast disease.
J Natl Cancer Inst
.
1993
;
85
:
1679
-1685.
48
Shore RE, Hildreth N, Woodard E, et al. Breast cancer among women given X-ray therapy for acute postpartum mastitis.
J Natl Cancer Inst
.
1986
;
77
:
689
-696.
Sign in via your Institution