Literature DB >> 23652303

Breast cancer risk following Hodgkin lymphoma radiotherapy in relation to menstrual and reproductive factors.

R Cooke1, M E Jones, D Cunningham, S J Falk, D Gilson, B W Hancock, S J Harris, A Horwich, P J Hoskin, T Illidge, D C Linch, T A Lister, H H Lucraft, J A Radford, A M Stevens, I Syndikus, M V Williams, A J Swerdlow.   

Abstract

BACKGROUND: Women treated with supradiaphragmatic radiotherapy (sRT) for Hodgkin lymphoma (HL) at young ages have a substantially increased breast cancer risk. Little is known about how menarcheal and reproductive factors modify this risk.
METHODS: We examined the effects of menarcheal age, pregnancy, and menopausal age on breast cancer risk following sRT in case-control data from questionnaires completed by 2497 women from a cohort of 5002 treated with sRT for HL at ages <36 during 1956-2003.
RESULTS: Two-hundred and sixty women had been diagnosed with breast cancer. Breast cancer risk was significantly increased in patients treated within 6 months of menarche (odds ratio (OR) 5.52, 95% confidence interval (CI) (1.97-15.46)), and increased significantly with proximity of sRT to menarche (Ptrend<0.001). It was greatest when sRT was close to a late menarche, but based on small numbers and needing reexamination elsewhere. Risk was not significantly affected by full-term pregnancies before or after treatment. Risk was significantly reduced by early menopause (OR 0.55, 95% CI (0.35-0.85)), and increased with number of premenopausal years after treatment (Ptrend=0.003).
CONCLUSION: In summary, this paper shows for the first time that sRT close to menarche substantially increases breast cancer risk. Careful consideration should be given to follow-up of these women, and to measures that might reduce their future breast cancer risk.

Entities:  

Mesh:

Year:  2013        PMID: 23652303      PMCID: PMC3681009          DOI: 10.1038/bjc.2013.219

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


Survival rates in Hodgkin lymphoma (HL) patients have improved greatly over the past few decades (Diehl ), due to improvements in treatment techniques. As a consequence, late effects of HL treatment are becoming an increasing problem, with survivors experiencing increased risks of second malignancies (van Leeuwen ). A major concern is the greatly increased breast cancer risk in young women treated for HL with supradiaphragmatic radiotherapy (sRT), who face cumulative risks of up to 48% of developing breast cancer by 40 years after treatment (Swerdlow ). It is important to understand how breast cancer risk in these patients is modified by other factors. Treatment age, field of sRT, and treatment with alkylating chemotherapy (CT) or pelvic radiotherapy (RT) have been identified as factors that affect this risk (van Leeuwen ; Inskip ; Swerdlow ). Menarche, pregnancy, and menopause are periods in life that have been considered critical to breast cancer risk (Hankinson ; Colditz ), and although a reduced risk of breast cancer has been identified in women who experience early menopause following HL treatment (Travis ; van Leeuwen ), little research has been carried out into how menarcheal and reproductive factors affect breast cancer risk after sRT. The high risks for women irradiated at young ages (Hancock ; Bhatia ; Mauch ; Sankila ; Aisenberg ; Metayer ; De Bruin ; Swerdlow ) imply that puberty might be a time of raised susceptibility. The rapid differentiation that occurs in the breast during a first pregnancy (Russo ) suggests the possibility of a raised breast cancer risk following exposure during first pregnancy, at least. We have, therefore, investigated the effect of menarcheal age, pregnancy, and menopausal age in 2497 women treated with sRT for HL at ages ⩽35 years.

Patients and methods

Data collection

A cohort of 5002 women treated with sRT for HL at ages ⩽35 years during 1956–2003 in England and Wales was identified, and details of their treatment (both initial and at relapses) and all subsequent breast cancer diagnoses (including ductal carcinoma in situ) were collected. Follow-up was complete to the end of 2008 for 97% of patients. Multiple sources were used to ensure completeness of identification of breast cancers. The methods are described in detail elsewhere (Swerdlow ). Where possible details of oestrogen receptor (ER) status were collected from clinical and registry sources. During 2003–2010 cohort members who were alive and resident in the UK were invited to complete a questionnaire, given to them by consultants when they attended clinic or sent to them by post. The questionnaire asked about lifestyle factors, medical history, and reproductive history, including age at menarche, delivery date and outcome of pregnancies, disturbances to the menstrual cycle including changes in frequency and temporary or permanent cessation, and use of oral contraceptives (OCs) and hormone replacement therapy (HRT). Blood samples were collected on a nested case–control basis from women who responded to the questionnaire, and genotyped for several single-nucleotide polymorphisms that have previously been identified as influencing breast cancer risk, as described elsewhere (Ma ). Medical research ethics approval was granted by the South East Multi-centre Research Ethics Committee, and patients gave signed informed consent at the time of questionnaire completion.

Statistical analysis

To investigate the effect of reproductive and menstrual factors on breast cancer risk, we analysed the data from questionnaire respondents as a case–control study, with cases being cohort members diagnosed with breast cancer, and controls being the cohort members without a known breast cancer diagnosis or prophylactic bilateral mastectomy. Not all patients could be included in analyses of the effect of pregnancy, as some were still at childbearing age when they completed the questionnaire and hence could have experienced pregnancies after that date. Cases who completed their questionnaire before the age of 53 and were subsequently diagnosed with breast cancer were excluded from analyses involving post treatment pregnancies, as they may have experienced pregnancies between the questionnaire and the cancer occurrence that were unknown to us. All patients who completed the questionnaire at ages ⩾53 were included in these analyses, as it was considered that they were very unlikely to have experienced further pregnancies. Patients who completed the questionnaire before age 53 and were either not diagnosed with breast cancer or diagnosed before completing the questionnaire were stratum-matched on age and date of first HL treatment, so that a date comparable to a breast cancer diagnosis date could be allocated to controls, referred to as the reference date. This was used to ensure that cases and controls were analysed at a comparable point in their reproductive history. For cases, the reference date was defined as the breast cancer diagnosis date. For controls, the patients were stratified by age and date at start of HL treatment in 5-year groups and the reference date was calculated by adding the median time between start of HL treatment and breast cancer diagnosis in cases in the control's stratum to the date that the control began treatment for HL, provided that the reference date was not later than their questionnaire completion date. For these patients, pregnancies after the reference date were omitted from analysis, and controls who could not be allocated a reference date were excluded from these analyses. The same reference date and exclusions were applied to the analysis of number of premenopausal years after the start of treatment. Details of any disturbances in a patient's menstrual cycle were used to define whether she had experienced premature menopause, at ages <40, or had reached menopause <5 years from start of HL treatment. Patients who had not yet reached age 40 or had been diagnosed with breast cancer before age 40 were excluded from analyses of premature menopause, and those who had completed the questionnaire within 5 years of starting treatment or had been diagnosed with breast cancer within 5 years of starting treatment were excluded from analyses of menopause within 5 years of treatment. Patients who had undergone oophorectomy or hysterectomy (as this often includes oophorectomy) were considered to be postmenopausal from the date of surgery. Menopausal status at each time point was considered unknown if the patient was using OCs or a contraceptive implant, injection or hormonal (Mirena) coil, or HRT, and had not reported going through menopause before then, and was considered unknown at all time points if the patient completed the questionnaire at age ⩾53 and did not mention having gone through menopause. Seven patients who stated that they had never experienced a natural menarche due to HL treatment at an early age were considered postmenopausal from 6 months after their final HL treatment. The stratum matching carried out for pregnancy analyses was also used in the analysis of premenopausal years following HL treatment. Breast cancer risks were estimated using unconditional logistic regression to calculate odds ratios (OR), 95% confidence intervals (CI) and two-sided P-values (Breslow and Day, 1980). Models were adjusted for all, or where appropriate a subset, of: age and calendar year at first HL treatment, interval between start of HL treatment and questionnaire completion, calendar year of birth, whether the patient received ovarian-toxic treatment (⩾5 Gy pelvic RT or any cycles of alkylating CT), and field of sRT (mantle, other, or unknown). Trend tests were carried out on ordinal variables using a likelihood ratio test. Analyses were conducted using Stata (StataCorp, 2007), with no imputation for missing values.

Results

We received questionnaires from 2508 women from the cohort of 5002. Of the remainder, 1105 had died, 999 were mailed but did not complete a questionnaire, 35 had emigrated, and 355 were not known to have died or emigrated but were not contacted for other reasons. Of those who returned a questionnaire, 149 had had breast cancer diagnosed before completing it, 111 have had breast cancer diagnosed since completing it, and 2248 are not known to have had breast cancer. Eleven patients indicated that they had had prophylactic bilateral mastectomies, and were, therefore, excluded from analyses. Patients who were alive but did not complete a questionnaire did not differ significantly from those who did in terms of calendar year or age of treatment, or type of treatment received (not in tables). Those who had died were treated at similar ages to those who took part, but significantly more were treated in early years, and a significantly higher proportion received ovarian-toxic treatments (not in tables). There was a significantly higher proportion of breast cancer cases in the group of patients who participated than in the group who were alive but did not participate, or those who had died (not in tables). The median age at first HL treatment among patients who completed a questionnaire was 24.3 years, and 25% were treated before age 20 (Table 1). Thirty-two percent of patients were treated with sRT alone, 61% with sRT in combination with ovarian-toxic treatment, and 7% received sRT but it was unknown whether they received other treatments. Questionnaires were completed a median of 17.2 years after first treatment.
Table 1

Descriptive characteristics of breast cancer cases and controls

CharacteristicCases (n=260) No. (%)Controls (n=2237) No. (%)Total
Age at first treatment for HL, years
0–92 (0.8)20 (0.9)22
10–1424 (9.2)71 (3.2)95
15–1985 (32.7)424 (19.0 )509
20–2475 (28.9)669 (29.9)744
25–2939 (15.0)574 (25.7)613
30–35
35 (13.5)
479 (21.4)
514
Calendar year of first treatment for HL
1960–196920 (7.7)65 (2.9)85
1970–1979110 (42.3)361 (16.1)471
1980–198999 (38.1)684 (30.6)783
1990–199930 (11.5)912 (40.8)942
2000–2004
1 (0.4)
215 (9.6)
216
HL treatment
sRT only113 (43.5)688 (30.8)801
sRT and ⩾5 Gy pelvic RT0 (0.0)19 (0.9)19
sRT and alkylating CT116 (44.6)1345 (60.1)1461
sRT, ⩾5 Gy pelvic RT and alkylating CT7 (2.7)42 (1.9)49
sRT, unknown if pelvic RT or alkylating CT
24 (9.2)
143 (6.4)
167
Calendar year of questionnaire completion
2003–200583 (31.9)911 (40.7)994
2006–2008161 (61.9)1188 (53.1)1349
2009–2011
16 (6.2)
138 (6.2)
154
Interval between first treatment for HL and questionnaire completion, years
0–94 (1.5)566 (25.3)570
10–1956 (21.5)860 (38.4)916
20–29116 (44.9)548 (24.5)664
30 or over
84 (32.0)
263 (11.8)
347
Age at breast cancer diagnosis, years
Less than 307 (2.7)7
30–3957 (21.9)57
40–49128 (49.2)128
50–5952 (20.0)52
60–69
16 (6.2)

16
Interval between first treatment for HL and breast cancer diagnosis, years
0–93 (1.2)3
10–1984 (32.3)84
20–29127 (48.8)127
30–3942 (16.2)42
40 or over4 (1.5)4

Abbreviations: CT=chemotherapy; HL=Hodgkin lymphoma; RT=radiotherapy; sRT=supradiaphragmatic radiotherapy.

The mean age at menarche was 13.5 years (Table 2). At menarcheal ages <15, there was no apparent effect of age at menarche on breast cancer risk; however, risks were progressively and greatly raised in patients with the oldest menarcheal ages, significantly so for ages 16 (OR 2.65, 95% CI (1.28–5.48)) and 17 (OR 3.74, 95% CI (1.08–12.98)) compared with age 13 (Table 2). The menarcheal age results were not materially altered by: adjustment for rapidity of onset of menopause after treatment; separately analysing patients treated with sRT only (n=785) and those who also received ovarian-toxic treatments (n=1565) (although higher ORs were found with older menarcheal ages in the ovarian-toxic treatment group); analysing risk of ER positive (n=100) and negative (n=33) breast cancer separately (although a higher OR was found with the oldest menarcheal ages for ER-positive cancer); analysing risk of invasive breast cancer only (n=182); repeating the analysis adding the seven patients who did not experience a natural menarche (using their age of induced menarche as a substitute for natural menarcheal age); restricting analysis to patients who received 35–40 Gy mantle RT only (n=984); or restricting analysis to those treated ⩾10 years after menarche (n=1370) (not in tables). Analysis of FGFR2 genotype, which was significantly associated with breast cancer risk in these women (Ma ) (n=436), found no association between genotype and menarcheal age (not in tables).
Table 2

Risks of breast cancer after supradiaphragmatic radiotherapy in relation to age at menarche

Risk factorCasesControlsTotalORa (95% CI)P-value
Age at menarche, years
8–1011921031.32 (0.64–2.72)0.44
11403593991.05 (0.67–1.65)0.84
12534535061.25 (0.82–1.91)0.29
13555646191.00 
14393784170.94 (0.60–1.48)0.79
15292092381.45 (0.87–2.41)0.16
161361742.65 (1.28–5.48)0.009
17515203.74 (1.08–12.98)0.04
18–192683.89 (0.54–28.16)0.18
Never1670.94 (0.09–9.98)0.96
Unknown
12
94
106
1.23 (0.61–2.47)
0.56
 
 
 
 
Ptrend=0.10
 
Duration between menarche and sRT
sRT at least 5 years before menarche110110.94 (0.10–8.46)0.95
sRT 2–5 years before menarche616224.08 (1.27–13.14)0.02
sRT 0.5–2 years before menarche712194.90 (1.60–14.98)0.005
sRT within 6 months of menarche914235.52 (1.97–15.46)0.001
sRT 0.5–2 years after menarche929383.47 (1.40–8.58)0.007
sRT 2–5 years after menarche452002452.38 (1.43–3.97)0.001
sRT 5–10 years after menarche675776441.33 (0.89–1.98)0.16
sRT at least 10 years after menarche99127113701.00 
Never1672.14 (0.20–22.56)0.53
Unknown
16
102
118
1.67 (0.90–3.11)
0.11
 
 
 
 
Ptrendb<0.001
 
Duration between menarche and sRT by age at menarche
Patients with menarche at 14 years or earlier
sRT at least 5 years before menarche066
sRT 2–5 years before menarche311142.91 (0.64–13.24)0.17
sRT 0.5–2 years before menarche
2
8
10
2.01 (0.38–10.76)
0.41
sRT within 6 months of menarche610165.64 (1.63–19.53)0.006
sRT 0.5–2 years after menarche324271.27 (0.34–4.79)0.72
sRT 2–5 years after menarche371561932.49 (1.44–4.32)0.001
sRT 5–10 years after menarche554875421.24 (0.81–1.91)0.32
sRT at least 10 years after menarche
89
1136
1225
1.00
 
Patients with menarche at 15 years or later
sRT at least 5 years before menarche1452.77 (0.26–29.78)0.40
sRT 2–5 years before menarche3586.12 (1.14–32.86)0.04
sRT 0.5–2 years before menarche54911.34 (2.41–53.40)0.002
sRT within 6 months of menarche3474.94 (0.97–25.12)0.05
sRT 0.5–2 years after menarche651115.61 (3.92–62.22)<0.001
sRT 2–5 years after menarche844521.84 (0.77–4.41)0.17
sRT 5–10 years after menarche12901021.87 (0.93–3.75)0.08
sRT at least 10 years after menarche101351451.14 (0.56–2.30)0.72
Unknown171081251.69 (0.92–3.12)0.09

Abbreviations: CI=confidence interval; OR=odds ratio; sRT=supradiaphragmatic radiotherapy.

Odds ratios are adjusted for year of treatment, duration between treatment and questionnaire completion, calendar year of birth, sRT field, ovarian-toxic treatment; age at menarche also adjusted for age at treatment.

Absolute interval between menarche and sRT.

The proximity of sRT to menarche had a strong effect on risk: patients who received sRT within 5 years of menarche experienced a significantly raised breast cancer risk compared with those treated ⩾10 years after menarche, with a peak 5.5-fold risk (95% CI (1.97–15.46)) in those treated within 6 months of menarche (Table 2). There was a significant trend of decreasing breast cancer risk with increasing time between menarche and sRT (Ptrend<0.001). Although the effect of treatment close to menarche was present for both those with early or normal menarche (aged <15 years) and those with late menarche (aged ⩾15 years), it was greater in the latter group; breast cancer risk reached a 15.6-fold increase (95% CI (3.92–62.22)) in those treated 0.5–2 years after a late menarche compared with those treated ⩾10 years after a normal-age menarche, which was highly significant, although based on small numbers. Patients who had experienced a full-term pregnancy (FTP) had a similar breast cancer risk to those who had not experienced any FTPs (OR 1.17, 95% CI (0.79–1.73)) (Table 3). Patients who had experienced a FTP before receiving sRT had a non-significantly reduced breast cancer risk compared with those who had not (OR 0.77, 95% CI (0.52–1.12)), with similar results when patients treated with and without ovarian-toxic treatments were analysed separately (not in tables), and patients who had experienced a FTP after sRT had a non-significantly raised risk (OR 1.33, 95% CI (0.92–1.92)). There was no evidence that proximity of sRT to first FTP affected breast cancer risk (Table 3). Ninety-two cases were excluded from pregnancy analyses because they completed their questionnaire before the age of 53 and were subsequently diagnosed with breast cancer, and 1056 controls were excluded because they could not be allocated a reference date; results were similar if a cutoff age of 45 was used instead of 53 (not in tables).
Table 3

Risks of breast cancer after supradiaphragmatic radiotherapy in relation to pregnancy history

Risk factorCasesControlsTotalORa (95% CI)P-value
Any full-term pregnancies
No463654111.00 
Yes1228149361.17 (0.79–1.73)0.42
Unknown
0
2
2


Full-term pregnancy before start of sRT
No203151617191.00 
Yes577177740.77 (0.52–1.12)0.17
Unknown
0
4
4


Full-term pregnancy after start of sRT
No746377111.00 
Yes945426361.33 (0.92–1.92)0.13
Unknown
0
2
2


Timing of first FTP in relation to sRT
No FTPs423513931.00 
1st FTP more than 10 years before sRT954631.52 (0.59–3.88)0.38
1st FTP 5–10 years before sRT81101180.64 (0.27–1.55)0.32
1st FTP <5 years before sRT232062291.03 (0.57–1.84)0.93
sRT during 1st FTP210121.81 (0.35–9.33)0.48
1st FTP <5 years after sRT331982311.41 (0.83–2.38)0.20
1st FTP 5–10 years after sRT271421691.39 (0.79–2.44)0.26
1st FTP >10 years after sRT1770871.25 (0.63–2.49)0.52
Unknown740471.03 (0.40–2.63)0.95

Abbreviations: CI=confidence interval; FTP=full-term pregnancy; OR=odds ratio; sRT=supradiaphragmatic radiotherapy.

Odds ratios are adjusted for age and year of treatment, duration between treatment and questionnaire completion, calendar year of birth, sRT field, ovarian-toxic treatment.

Thirty-six percent of those who completed the questionnaire at ages ⩾40 had experienced premature menopause. These patients had a significantly reduced breast cancer risk (OR 0.65, 95% CI (0.44–0.94)) compared with those still premenopausal at age 40 (Table 4). Similar results were found when this analysis was repeated for menopausal status at age 35 (OR 0.69, 95% CI (0. 47–1.02)) or age 45 (OR 0.54, 95% CI (0.35–0.84)) (not in tables). Within the 2358 patients who completed the questionnaire ⩾5 years after HL treatment, there was a significantly reduced breast cancer risk in those who reached menopause within 5 years of starting treatment (OR 0.55, 95% CI (0.35–0.85)) (Table 4). Breast cancer risk increased significantly with increasing number of premenopausal years following treatment (Ptrend=0.003).
Table 4

Risks of breast cancer after supradiaphragmatic radiotherapy in relation to age at menopause

Risk factorCasesControlsTotalORa (95% CI)P-value
Menopause before age 40
No1035987011.00 
Yes494545030.65 (0.44–0.94)0.02
Unknown
32
168
200
1.09 (0.69–1.73)
0.70
Menopause within 5 years of start of treatment
No205139916041.00 
Yes263573830.55 (0.35–0.85)0.01
Unknown
34
337
371
0.92 (0.61–1.38)
0.68
Premenopausal years after start of treatment
Less than 1101031131.00 
1–47981050.96 (0.34–2.69)0.94
5–9784911.02 (0.36–2.87)0.97
10–14192772961.49 (0.63–3.55)0.36
15–24492813301.62 (0.76–3.44)0.21
25 or over2540653.56 (1.50–8.45)0.004
Unknown522943461.74 (0.84–3.64)0.14
    Ptrend=0.003 

Abbreviations: CI=confidence interval; OR=odds ratio; sRT=supradiaphragmatic radiotherapy.

Odds ratios are adjusted for age and year of treatment, duration between treatment and questionnaire completion, calendar year of birth, sRT field.

Analyses were repeated adjusting for use of OCs or HRT, with no material difference to results.

Discussion

Women treated with sRT for HL at young ages are known to be at greatly increased risk of breast cancer; consequently it is important to understand how this raised risk is modified by other factors. Analyses of the effect of age at sRT find greatest risks for treatment in the early teenage years (Bhatia ; Metayer ; Inskip ; Swerdlow ), or in the first two decades of life (Hancock ; Mauch ; Aisenberg ; De Bruin ); similarly, analysis of breast cancer risk in atomic bomb survivors has found a significantly decreasing risk with increasing age at exposure (Land ). No studies, however, have examined directly whether sRT close to menarche, when the breast is developing, is particularly hazardous. We were able to categorise patients according to time between menarche and sRT, and found a clear trend for greater breast cancer risks the closer that exposure was to menarche; this applied both to patients treated before menarche and those treated after menarche. On average, pubertal breast development begins 2.3 years before menarche, continuing for 2.1 years afterwards (Marshall and Tanner, 1969); this period corresponds to the categories where we found the highest and most significantly raised breast cancer risks. Our result is, therefore, consistent with the theory that susceptibility of the breast to carcinogens is particularly high around menarche (Korenman, 1980; Russo and Russo, 1997). It has been consistently shown that older menarcheal age confers a protective effect against breast cancer in the general population (Colditz ). Thus, the increased breast cancer risk we found in sRT patients with a late menarche seems at first sight surprising. Risk in relation to older menarcheal age in HL patients has been investigated in one, much smaller, previous study (van Leeuwen ), which found a somewhat raised risk with menarche at ages ⩾15 years, but with a wide CI based on only eight cases with menarche at these ages. The raised risk that we found with late menarche remained when we adjusted for menopausal age, added patients who never experienced natural menarche following HL treatment at young ages, analysed separately patients treated with sRT only and those also treated with ovarian-toxic treatments, analysed separately by ER status, and restricted to invasive cancers only. Our results thus suggest that the relationship between menarcheal age and breast cancer risk might be different in heavily irradiated women from that in the general population, although as they are based on small numbers it would be desirable to repeat these analyses in other similar cohorts. Analysis of the proximity of sRT to menarche found that the raised risk in patients irradiated close to menarche was particularly high in those with late menarche, although risk for those with late menarche remained somewhat raised even if they received sRT ⩾10 years later. Menarche can be delayed because of poor health (Neinstein, 1985), which suggests the possibility that late menarche could have been a marker of more unwell patients who received greater radiation doses. This potential confounding did not explain the results, however, as the effect remained when we restricted the analysis to patients who received 35–40 Gy mantle RT. It has been shown that around half of the variation in timing of menarche in the general population is attributable to genetic factors (Morris ), and several genes associated with menarcheal age have been identified (Dvornyk and Ul-Haq, 2012). It is thought that there is also an element of genetic predisposition involved in radiosensitivity (Burrill ; Gatti, 2001), and hence a potential explanation for our finding could be genetic linkage between loci associated with these two factors. A previous study including a subset of our patients found that FGFR2 was associated with radiation-induced breast cancer risk (Ma ); however, analysing the same subset we found no evidence of an association between FGFR2 genotype and menarcheal age. In the general population, later menarche is associated with greater height (Onland-Moret ) and lower body mass index (BMI) in adulthood (Pierce and Leon, 2005); this was also true in our study. Height has a small positive association with breast cancer risk (Gunnell ) and low BMI is associated with an increased risk of premenopausal breast cancer (van den Brandt ). It is implausible, however, that these associations could account for the risks that we found with late menarche, as the effects are small compared with the difference in effect of menarcheal age in the irradiated women from that in the general population. High breast density is one of the strongest known breast cancer risk factors (McCormack and dos Santos Silva, 2006). Some studies have found evidence of a positive association between breast density and menarcheal age (Sala ; Titus-Ernstoff ; Butler ), although others have found no association (Vachon ; Maskarinec ). The raised risk that we found with late menarche could not directly be a consequence of the association between breast density and breast cancer risk, however, as this would also hold in the general population, in whom late menarche is not associated with raised breast cancer risk. Also, the size of the putative association of menarcheal age and breast density is too small. Evidence from some small studies (Marti-Henneberg and Vizmanos, 1997; Pantsiotou ) suggests an association between early onset of puberty and greater duration of breast growth, although others found no association (Marshall and Tanner, 1969; Largo and Prader, 1983). This suggests the possibility that the increased breast cancer risk we found in patients treated close to a late menarche might be due to more rapid pubertal breast growth in these patients, with the increased rate of cell division at this time resulting in greater susceptibility of the breast to carcinogenesis. We are unable to investigate this further, however, as data on breast development in the study subjects were not collected. The breast undergoes rapid change during first FTP (Russo ), and it has been suggested that this may result in increased breast cancer risk in patients treated with sRT during first FTP (Ronckers ). Only one previous study has examined breast cancer risk after irradiation during pregnancy in HL patients; this found a significantly increased risk, although based on very small numbers and with limited follow-up (Chen ). We found no significant effect of irradiation during first FTP on breast cancer risk, based on 12 cases irradiated. There was also no significant difference in risk between women who had ever had a FTP and those who had not, contrary to the position in the general population in whom completion of a FTP confers a long-term protective effect against breast cancer (Colditz ). Risk was slightly reduced in patients who had had a FTP before sRT however, consistent with the theory that susceptibility of the breast to carcinogens is reduced after first FTP (Russo and Russo, 1995), and the slight increase in risk in patients who had had a FTP after sRT, likely caused by confounding by the effect of continued ovarian function after HL treatment, may explain the lack of reduced risk following FTP overall. Our results are consistent with those from two previous smaller studies, based on 51 and 37 parous cases, respectively (van Leeuwen ; Hill ), which also found no significant effect of pregnancies before or after HL on breast cancer risk. Early menopause is known to have a protective effect on breast cancer risk in the general population (Trichopoulos ; La Vecchia ), and HL patients frequently experience early menopause as a consequence of ovarian-toxic treatment (De Bruin ). Previous studies have found significantly reduced breast cancer risks in HL patients who experience premature menopause compared with those who maintain ovarian function post treatment (Travis ; van Leeuwen ), with risk increasing with number of premenopausal years after treatment (van Leeuwen ). Our results add to the evidence, based on larger numbers: we found significant reductions in risk in both those who experienced menopause at ages <40, and those who experienced menopause <5 years after starting treatment, and a significantly increasing breast cancer risk with increasing number of premenopausal years post treatment. As we only received questionnaires from half of the original cohort members, there is the possibility that those who responded could have been biased in some way. It seems implausible, however, that patients would have replied or not depending on combinations of their breast cancer status and their age at menarcheal/reproductive status. Similarly, it seems implausible that not including patients who had died could have introduced bias, as this would only occur if mortality were associated with the combination of breast cancer status and the reproductive factor being analysed. As our data on menarcheal ages were ascertained retrospectively, they could be subject to recall bias. Recall of menarcheal age is generally good, however, even after several decades (Bean ; Must ), and there seems no reason why any misclassification should have been biased, as there is no association well known to the public that would lead a patient to misreport their menarcheal age in a certain way depending on their breast cancer status. The treatment dates of patients in our cohort cover a considerable period of time, during which many improvements to RT techniques were made. To investigate whether effects on breast cancer risk varied over time we re-ran the analyses separately by time period; however, because few breast cancers have occurred to date in the patients treated most recently, it is not possible to determine any differences at present. As many different field and dose combinations have been utilised over time we also re-ran analyses restricted to patients treated with 35–40 Gy mantle RT only, as the largest homogeneous group: results did not markedly differ from those for the whole cohort. Additionally, modern RT techniques differ in some respects from those used when the majority of patients in our study were treated. However, it is in principle impossible to assess long-term effects of current techniques until many years in the future, when sufficient time has elapsed since their introduction. Therefore, the predicted effects of modern treatment techniques must inevitably for the present be inferred from analyses of older treatments, as in our and other data (Aisenberg ; Travis ; van Leeuwen ). In conclusion, we have found that risk of breast cancer after sRT increases when sRT is given closer to menarche, and we have provided more precise data than previously available, based on larger numbers, on the effect of menopausal age on RT-related breast cancer risk. It has previously been hypothesised that the period around menarche may be a time of greater susceptibility of the breast to carcinogens (Korenman, 1980; Russo and Russo, 1997), but as far as we know there have been no previous data showing this directly in humans. Although the result was highly significant, it would be desirable to reexamine it in other cohorts. Meanwhile, these high risks should be considered when planning treatment and screening regimens for HL patients diagnosed close to menarche. Our results also suggest that research consideration is needed of the potential value of hormonal suppression of puberty, as used for instance for precocious puberty (Carel and Léger, 2008), in these patients.
  47 in total

1.  A longitudinal investigation of mammographic density: the multiethnic cohort.

Authors:  Gertraud Maskarinec; Ian Pagano; Galina Lurie; Laurence N Kolonel
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-04       Impact factor: 4.254

2.  The duration of puberty in girls is related to the timing of its onset.

Authors:  C Martí-Henneberg; B Vizmanos
Journal:  J Pediatr       Date:  1997-10       Impact factor: 4.406

3.  Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis.

Authors:  Valerie A McCormack; Isabel dos Santos Silva
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-06       Impact factor: 4.254

4.  Age at menarche and adult BMI in the Aberdeen children of the 1950s cohort study.

Authors:  Mary B Pierce; David A Leon
Journal:  Am J Clin Nutr       Date:  2005-10       Impact factor: 7.045

5.  Breast cancer risk following radiotherapy for Hodgkin lymphoma: modification by other risk factors.

Authors:  Deirdre A Hill; Ethel Gilbert; Graça M Dores; Mary Gospodarowicz; Flora E van Leeuwen; Eric Holowaty; Bengt Glimelius; Michael Andersson; Tom Wiklund; Charles F Lynch; Mars Van't Veer; Hans Storm; Eero Pukkala; Marilyn Stovall; Rochelle E Curtis; James M Allan; John D Boice; Lois B Travis
Journal:  Blood       Date:  2005-07-28       Impact factor: 22.113

6.  High risk of breast carcinoma after irradiation of young women with Hodgkin's disease.

Authors:  A C Aisenberg; D M Finkelstein; K P Doppke; F C Koerner; J F Boivin; C G Willett
Journal:  Cancer       Date:  1997-03-15       Impact factor: 6.860

7.  Age at menarche in relation to adult height: the EPIC study.

Authors:  N C Onland-Moret; P H M Peeters; C H van Gils; F Clavel-Chapelon; T Key; A Tjønneland; A Trichopoulou; R Kaaks; J Manjer; S Panico; D Palli; B Tehard; M Stoikidou; H B Bueno-De-Mesquita; H Boeing; K Overvad; P Lenner; J R Quirós; M D Chirlaque; A B Miller; K T Khaw; E Riboli
Journal:  Am J Epidemiol       Date:  2005-08-17       Impact factor: 4.897

8.  Risk of subsequent malignant neoplasms among 1,641 Hodgkin's disease patients diagnosed in childhood and adolescence: a population-based cohort study in the five Nordic countries. Association of the Nordic Cancer Registries and the Nordic Society of Pediatric Hematology and Oncology.

Authors:  R Sankila; S Garwicz; J H Olsen; H Döllner; H Hertz; A Kreuger; F Langmark; M Lanning; T Möller; H Tulinius
Journal:  J Clin Oncol       Date:  1996-05       Impact factor: 44.544

9.  Breast cancer risk factors in relation to breast density (United States).

Authors:  Linda Titus-Ernstoff; Anna N A Tosteson; Claudia Kasales; Julia Weiss; Martha Goodrich; Elizabeth E Hatch; Patricia A Carney
Journal:  Cancer Causes Control       Date:  2006-12       Impact factor: 2.506

Review 10.  Radiation and breast cancer: a review of current evidence.

Authors:  Cécile M Ronckers; Christine A Erdmann; Charles E Land
Journal:  Breast Cancer Res       Date:  2004-11-23       Impact factor: 6.466

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  17 in total

1.  Updated Breast Cancer Surveillance Recommendations for Female Survivors of Childhood, Adolescent, and Young Adult Cancer From the International Guideline Harmonization Group.

Authors:  Renée L Mulder; Melissa M Hudson; Smita Bhatia; Wendy Landier; Gill Levitt; Louis S Constine; W Hamish Wallace; Flora E van Leeuwen; Cécile M Ronckers; Tara O Henderson; Chaya S Moskowitz; Danielle N Friedman; Andrea K Ng; Helen C Jenkinson; Charlotte Demoor-Goldschmidt; Roderick Skinner; Leontien C M Kremer; Kevin C Oeffinger
Journal:  J Clin Oncol       Date:  2020-09-29       Impact factor: 44.544

2.  The use of equivalent radiation dose in the evaluation of late effects after childhood cancer treatment.

Authors:  Irma W E M van Dijk; Rob M van Os; Jeroen B van de Kamer; Nicolaas A P Franken; Helena J H van der Pal; Caro C E Koning; Huib N Caron; Cécile M Ronckers; Leontien C M Kremer
Journal:  J Cancer Surviv       Date:  2014-06-14       Impact factor: 4.442

Review 3.  Risk, Risk Factors, and Surveillance of Subsequent Malignant Neoplasms in Survivors of Childhood Cancer: A Review.

Authors:  Lucie M Turcotte; Joseph P Neglia; Raoul C Reulen; Cecile M Ronckers; Flora E van Leeuwen; Lindsay M Morton; David C Hodgson; Yutaka Yasui; Kevin C Oeffinger; Tara O Henderson
Journal:  J Clin Oncol       Date:  2018-06-06       Impact factor: 44.544

4.  Risk factors and specific cancer types of second primary malignancies in patients with breast cancer receiving adjuvant radiotherapy: a case-control cohort study based on the SEER database.

Authors:  Chuanxin Xia; Lei Qin; Yinzhi Wang; Ling Yao; Benchang Shia; Szu-Yuan Wu
Journal:  Am J Cancer Res       Date:  2022-06-15       Impact factor: 5.942

5.  Breast cancer risk in residents of Belarus exposed to Chernobyl fallout while pregnant or lactating: standardized incidence ratio analysis, 1997 to 2016.

Authors:  Elizabeth K Cahoon; Dale Preston; Rui Zhang; Vibha Vij; Mark P Little; Kiyohiko Mabuchi; Vladimir Drozdovitch; Konstantin Chizhov; Vasilina V Yauseyenka; Alexander V Rozhko; Ilya V Velalkin
Journal:  Int J Epidemiol       Date:  2022-05-09       Impact factor: 9.685

Review 6.  Individual response of humans to ionising radiation: governing factors and importance for radiological protection.

Authors:  K E Applegate; W Rühm; A Wojcik; M Bourguignon; A Brenner; K Hamasaki; T Imai; M Imaizumi; T Imaoka; S Kakinuma; T Kamada; N Nishimura; N Okonogi; K Ozasa; C E Rübe; A Sadakane; R Sakata; Y Shimada; K Yoshida; S Bouffler
Journal:  Radiat Environ Biophys       Date:  2020-03-07       Impact factor: 1.925

7.  Genetic susceptibility to radiation-induced breast cancer after Hodgkin lymphoma.

Authors:  Annemieke W J Opstal-van Winden; Hugoline G de Haan; Michael Hauptmann; Marjanka K Schmidt; Annegien Broeks; Nicola S Russell; Cécile P M Janus; Augustinus D G Krol; Frederieke H van der Baan; Marie L De Bruin; Anna M van Eggermond; Joe Dennis; Hoda Anton-Culver; Christopher A Haiman; Elinor J Sawyer; Angela Cox; Peter Devilee; Maartje J Hooning; Julian Peto; Fergus J Couch; Paul Pharoah; Nick Orr; Douglas F Easton; Berthe M P Aleman; Louise C Strong; Smita Bhatia; Rosie Cooke; Leslie L Robison; Anthony J Swerdlow; Flora E van Leeuwen
Journal:  Blood       Date:  2018-12-20       Impact factor: 25.476

8.  Secondary cancer in a survivor of Hodgkin's lymphoma: A case report and review of the literature.

Authors:  Maja Lisik-Habib; Urszula Czernek; Sylwia Dębska-Szmich; Magdalena Krakowska; Joanna Kubicka-Wołkowska; Piotr Potemski
Journal:  Oncol Lett       Date:  2014-12-12       Impact factor: 2.967

Review 9.  Factors influencing risk-based care of the childhood cancer survivor in the 21st century.

Authors:  Stephanie B Dixon; Kari L Bjornard; Nicole M Alberts; Gregory T Armstrong; Tara M Brinkman; Wassim Chemaitilly; Matthew J Ehrhardt; Israel Fernandez-Pineda; Lisa M Force; Todd M Gibson; Daniel M Green; Carrie R Howell; Sue C Kaste; Anne C Kirchhoff; James L Klosky; Kevin R Krull; John T Lucas; Daniel A Mulrooney; Kirsten K Ness; Carmen L Wilson; Yutaka Yasui; Leslie L Robison; Melissa M Hudson
Journal:  CA Cancer J Clin       Date:  2018-01-29       Impact factor: 508.702

10.  Timing of pubertal stages and breast cancer risk: the Breakthrough Generations Study.

Authors:  Danielle H Bodicoat; Minouk J Schoemaker; Michael E Jones; Emily McFadden; James Griffin; Alan Ashworth; Anthony J Swerdlow
Journal:  Breast Cancer Res       Date:  2014-02-04       Impact factor: 6.466

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