Risk-reducing salpingo-oophorectomy, natural menopause, and breast cancer risk: an international prospective cohort of BRCA1 and BRCA2 mutation carriers
verfasst von:
Nasim Mavaddat, Antonis C. Antoniou, Thea M. Mooij, Maartje J. Hooning, Bernadette A. Heemskerk-Gerritsen, Catherine Noguès, Marion Gauthier-Villars, Olivier Caron, Paul Gesta, Pascal Pujol, Alain Lortholary, Daniel Barrowdale, Debra Frost, D. Gareth Evans, Louise Izatt, Julian Adlard, Ros Eeles, Carole Brewer, Marc Tischkowitz, Alex Henderson, Jackie Cook, Diana Eccles, Klaartje van Engelen, Marian J. E. Mourits, Margreet G. E. M. Ausems, Linetta B. Koppert, John L. Hopper, Esther M. John, Wendy K. Chung, Irene L. Andrulis, Mary B. Daly, Saundra S. Buys, Javier Benitez, Trinidad Caldes, Anna Jakubowska, Jacques Simard, Christian F. Singer, Yen Tan, Edith Olah, Marie Navratilova, Lenka Foretova, Anne-Marie Gerdes, Marie-José Roos-Blom, Flora E. Van Leeuwen, Brita Arver, Håkan Olsson, Rita K. Schmutzler, Christoph Engel, Karin Kast, Kelly-Anne Phillips, Mary Beth Terry, Roger L. Milne, David E. Goldgar, Matti A. Rookus, Nadine Andrieu, Douglas F. Easton, GENEPSO, EMBRACE, HEBON, kConFab Investigators, on behalf of IBCCS, kConFab, BCFR
The effect of risk-reducing salpingo-oophorectomy (RRSO) on breast cancer risk for BRCA1 and BRCA2 mutation carriers is uncertain. Retrospective analyses have suggested a protective effect but may be substantially biased. Prospective studies have had limited power, particularly for BRCA2 mutation carriers. Further, previous studies have not considered the effect of RRSO in the context of natural menopause.
Methods
A multi-centre prospective cohort of 2272 BRCA1 and 1605 BRCA2 mutation carriers was followed for a mean of 5.4 and 4.9 years, respectively; 426 women developed incident breast cancer. RRSO was modelled as a time-dependent covariate in Cox regression, and its effect assessed in premenopausal and postmenopausal women.
Results
There was no association between RRSO and breast cancer for BRCA1 (HR = 1.23; 95% CI 0.94–1.61) or BRCA2 (HR = 0.88; 95% CI 0.62–1.24) mutation carriers. For BRCA2 mutation carriers, HRs were 0.68 (95% CI 0.40–1.15) and 1.07 (95% CI 0.69–1.64) for RRSO carried out before or after age 45 years, respectively. The HR for BRCA2 mutation carriers decreased with increasing time since RRSO (HR = 0.51; 95% CI 0.26–0.99 for 5 years or longer after RRSO). Estimates for premenopausal women were similar.
Conclusion
We found no evidence that RRSO reduces breast cancer risk for BRCA1 mutation carriers. A potentially beneficial effect for BRCA2 mutation carriers was observed, particularly after 5 years following RRSO. These results may inform counselling and management of carriers with respect to RRSO.
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Abkürzungen
BMI
Body mass index
EMBRACE
Epidemiological Study of Familial Breast Cancer
GENEPSO
Gene Etude Prospective Sein Ovaire
HEBON
Hereditary Breast and Ovarian cancer study Netherlands
HRT
Hormone replacement therapy
IBCCS
International BRCA1/2 Carrier Cohort Study
kConFab
Kathleen Cuningham Foundation Consortium for Research Into Familial Breast Cancer
RRM
Risk-reducing mastectomy
RRSO
Risk-reducing salpingo-oophorectomy
Background
Women carrying germline mutations in BRCA1 or BRCA2 are at high risk of developing breast cancer and ovarian cancer [1, 2]. Mutation carriers undergo enhanced cancer surveillance and may be offered interventions including risk-reducing mastectomy (RRM) or risk-reducing salpingo-oophorectomy (RRSO). While RRSO substantially reduces the risk of developing ovarian cancer, its effect on breast cancer risk is uncertain. Some studies have reported substantial breast cancer risk reduction of up to 50% following RRSO [3‐6]. However, these studies may have been subject to bias and confounding [7, 8]. Biases include ‘cancer-induced testing bias’, which can occur if mutation testing is conducted as a result of a breast cancer diagnosis and follow-up before DNA testing is included in the analysis, and ‘immortal person-time bias’, caused by excluding follow-up prior to RRSO uptake. Heemskerk-Gerritsen et al. found no evidence for an association between RRSO and breast cancer after eliminating several sources of bias [9, 10]. Prospective cohort studies can avoid such biases, but large studies with long follow-up are required to provide sufficient power.
Here, we report results from a large international collaborative, multi-centre, prospective cohort of 2272 BRCA1 and 1605 BRCA2 mutation carriers. We examined the association between RRSO and breast cancer risk according to the timing of RRSO relative to menopause and time since RRSO.
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Methods
Study design and study population
We combined information from three consortia: The International BRCA1/2 Carrier Cohort Study (IBCCS), Kathleen Cuningham Foundation Consortium for Research Into Familial Breast Cancer (kConFab) Follow-Up Study, and Breast Cancer Family Registry (BCFR) (Tables 1 and 2, Additional file 1: Table S1) [11‐15]. In total, 9856 BRCA1/2 mutation carriers were included. Eighty-nine percent of participants were invited into the studies after receiving their clinical genetic test results, while 3% were recruited as an untested member of a mutation-carrying family and opted for a clinical test only after enrolment. Seven percent were tested in a research setting, and it was unknown whether or when they opted for a clinical test. Sixty-six percent of participants were enrolled through one of five ongoing nationwide studies in the UK and Ireland (Epidemiological Study of Familial Breast Cancer [EMBRACE]), France (Gene Etude Prospective Sein Ovaire [GENEPSO]), Netherlands (Hereditary Breast and Ovarian cancer study Netherlands [HEBON]), Australia and New Zealand (kConFab), and Austria (Medical University of Vienna [MUV]). Other studies were centre-based.
Table 1
Prospective cohort of BRCA1 and BRCA2 mutation carriers
IBCCS studies
BRCA1 mutation carriers
BRCA2 mutation carriers
Number of women
FUP time mean, years (sd)
BC, N
Mean age BC diagnosis, years
Number of women
FUP time mean, years (sd)
BC, N
Mean age BC diagnosis, years
EMBRACE
471
4.4 (3.0)
41
45.4
478
3.9 (2.5)
42
48.2
GENEPSO
486
3.6 (2.4)
46
45.8
325
3.2 (1.9)
18
48.8
HEBON
242
7.2 (3.6)
40
47.6
75
5.9 (2.8)
4
47.3
kConFab
325
6.7 (3.8)
55
42.2
288
6.4 (3.7)
38
50.5
BCFR
327
7.7 (4.4)
50
47.1
255
7.5 (4.3)
33
49.8
Other studiesa
421
4.9 (3.2)
37
41.4
184
4.3 (2.9)
22
47.0
Total
2272
5.4 (3.7)
269
44.9
1605
4.9 (3.4)
157
49.0
BC breast cancer, FUP follow-up, sd standard deviation
aOther studies: MUV-Austria, INHERIT, OUH, GC-HBOC, NIO-Hungary, CNIO, HCSC, LUND-BRCA, STOCKHOLM-BRCA, IHCC, and MODSQUAD (see Additional file 1: Table S1 for details)
Table 2
Characteristics of the cohort of BRCA1 and BRCA2 mutation carriers
bFifteen women did not report age at menopause but were older than 60 years at the end of follow-up
cInformation from questionnaire and record linkage
dAge last known to be premenopausal mean 32.3 years, median 31 years for BRCA1 mutation carriers: mean 33.9, median 34 years for BRCA2 mutation carriers. Time between this age and end of censoring: mean 6.3, median 5 years for BRCA1 and mean 6 years, median 5 years for BRCA2 mutation carriers
eSeven women reported RRSO after age 60 years without first reporting natural menopause
Study participants
Women were eligible if they were 18–80 years of age at recruitment and tested positive for a pathogenic BRCA1 or BRCA2 mutation, had no cancer history, and had retained both breasts at the date of genetic testing or study enrolment, whichever was last (N = 3886). One woman was excluded as she had been diagnosed with Turner syndrome and eight excluded as it was unclear whether they had had a hysterectomy or RRSO before recruitment.
Data collection
Study participants were invited to complete a baseline questionnaire and a series of follow-up questionnaires. The questionnaires requested detailed information on known or suspected risk factors for breast and ovarian cancer, including family history, reproductive history, and surgical interventions including RRM or RRSO. The questionnaires also asked for information on age at last menstruation, whether the woman had had any period in the past year, the number of years/months since last menstruation, and reason(s) for the stopping of periods. Age at menopause for those who indicated no period in the past year was determined by adding 1 year to ‘age at last menstruation’. Women were considered premenopausal if they indicated that they had had a period in the past year, or if the ‘reason for periods stopping’ was medication, oral contraceptive use, pregnancy, or breast-feeding. Women reporting RRSO as the reason for menopause were considered premenopausal until RRSO. After hysterectomy, menopausal status was considered unknown.
In addition to questionnaires, some studies obtained RRSO information from medical records or linkage to a pathological registry. For the primary analysis, risk factor information was updated from all available sources, including post-diagnosis questionnaires and record linkage. Occurrence of breast cancer was derived from data from follow-up questionnaires and, for five studies, through linkage to cancer registries. Information on vital status was obtained from municipal or death registries, medical records, or family members.
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Distributions of dates of breast cancer diagnosis and DNA testing are shown in Additional file 1: Table S2.
Statistical analysis
We used Cox proportional hazards regression models to assess the association with risk of breast cancer. Follow-up started either at completion of baseline questionnaire or mutation testing, whichever was latest. The primary endpoint was breast cancer (invasive or in situ). Follow-up was censored at the earliest of RRM, diagnosis of breast cancer, ovarian cancer or any other cancer, treatment with chemotherapy or radiotherapy in the absence of information about cancer, reaching age 80 years, or death. For studies that used record linkage, follow-up was stopped at the date on which record linkage was conducted or considered complete. For GENEPSO, there was no linkage to cancer registries and women were censored at age at last questionnaire. Women diagnosed with breast cancer within 2 months of the start of follow-up were excluded from all analyses. RRM occurring within 1 year of breast cancer diagnosis were ignored. To investigate the association of RRSO with breast cancer risk in premenopausal women, women were also censored at natural menopause, hysterectomy, or reaching age 60 years. The association of RRSO with breast cancer risk after natural menopause was investigated by starting follow-up at the age of natural menopause. The association between age at natural menopause and breast cancer was investigated by also censoring at RRSO. For hormone replacement therapy (HRT) analyses, women were eligible if they had never used HRT before baseline and further censored at start of HRT.
A potential bias arises if completion of a subsequent questionnaire is related to RRSO uptake or cancer diagnosis. In order to address this possibility, sensitivity analyses were carried out in which RRSO status was changed at the date of the questionnaire in which the information on RRSO occurrence was reported, rather than the reported age at RRSO (except for the HEBON study, for which RRSO status was determined through record linkage). We also carried out sensitivity analysis excluding women with missing information on age or reason for menopause in the baseline questionnaire, even if this information was provided during follow-up (n = 514). Finally, we examined the effect of excluding women with prevalent RRSO at the start of follow-up (n = 403) (Additional file 1: Table S3).
Natural menopause and RRSO were coded as time-dependent covariates in a Cox regression model. In order to investigate the influence of age at RRSO on breast cancer risk, analyses were carried out separately for women experiencing RRSO before or after age 45 years. Analyses were also carried out estimating the hazard ratio for developing breast cancer for different time intervals following RRSO compared with no RRSO. The trend in HR by time since RRSO was evaluated by categorising the time following RRSO as < 2 years, 2–5 years, and > 5 years and fitting a time-varying parameter for this ordinal covariate (coded 0, 1, 2). We conducted separate analyses for BRCA1 and BRCA2 mutation carriers. We stratified for birth cohort and study (in six categories: EMBRACE, GENEPSO, HEBON, kConFab, BCFR, and other studies (Table 1)) and used robust variance estimation to account for familial clustering. We also assessed associations by birth cohort (1920–1960 or 1961–1992) and study and adjusted for potential confounders including family history of breast cancer in first- and second-degree relatives (collected either from the baseline questionnaire or from pedigrees provided by the genetics centres, and coded as unknown, none, one, or two or more breast cancers), family history of ovarian cancer (similarly defined), body mass index (BMI) at baseline (derived from self-reported height and weight), age at first birth (nulliparous, < 30 and ≥ 30), parity (nulliparous, 1, 2 or 3, and ≥ 4 full-term pregnancies), and HRT use (ever vs never, any formulation). The distribution of potential confounders in study subjects is shown in Additional file 1: Table S4. To test the heterogeneity between studies, fixed effect meta-analysis was carried out. Statistical analyses were performed using STATA v13 (StataCorp, College Station, TX). Statistical tests were considered significant based on two-sided hypothesis tests with p < 0.05.
Results
Cohort characteristics
Among 2272 BRCA1 and 1605 BRCA2 mutation carriers without a previous diagnosis of cancer or RRM, 269 BRCA1 and 157 BRCA2 mutation carriers were diagnosed with breast cancer during follow-up (mean follow-up time 5.4 and 4.9 years for BRCA1 and BRCA2, respectively; Tables 1 and 2). In total, 836 (37%) BRCA1 and 497 (31%) BRCA2 mutation carriers reported RRSO, and 226 (10%) BRCA1 and 221 (14%) BRCA2 mutation carriers went through natural menopause, prior to censoring. Baseline demographics of the cohort are shown in Table 2 and Additional file 1: Table S4.
Association between RRSO and breast cancer risk
In the primary analysis, the hazard ratio (HR) for the association between RRSO and breast cancer risk was 1.23 (95% CI 0.94–1.61) for BRCA1 and 0.88 (95% CI 0.62–1.24) for BRCA2 mutation carriers (Table 3). For BRCA2 mutation carriers, the HR estimates were 0.68 (95% CI 0.40–1.15) and 1.07 (95% CI 0.69–1.64) for RRSO carried out before and after age 45 years, respectively. For BRCA1 mutation carriers, the estimated HRs were close to 1 across varying times since RSSO (Table 3, Fig. 1), while for BRCA2 mutation carriers, there was some evidence that the HR decreased with increasing time since RRSO (p-trend = 0.011) (Table 3). The HR estimates of greater than 1.0 less than 2 years after RRSO could reflect some inaccuracies in reporting the date of surgery. A protective association was observed for BRCA2 mutation carriers 5 years after RRSO (HR = 0.51 (95% CI 0.26–0.99), p = 0.046, mean time between RRSO and end of follow-up, 9.5 years) (Table 3), although there were differences across studies (p value for heterogeneity = 0.005) (Fig. 2). The HR estimates were slightly lower for premenopausal BRCA2 mutation carriers (Additional file 1: Table S5). There was no significant association between RRSO and breast cancer risk after natural menopause; however, only 221 BRCA1 and 213 BRCA2 mutation carriers were included in these analyses.
Table 3
Association between RRSO and breast cancer risk
BRCA1 mutation carriers
BRCA2 mutation carriers
Person-years
BC
HR
95% CI
Person-years
BC
HR
95% CI
No RRSO
8353
154a
1.00
–
5769
106b
1.00
–
RRSO at any age (years)
3988
115a
1.23
0.94–1.61
2117
51b
0.88
0.62–1.24
≤ 45
2205
64
1.19
0.88–1.61
964
17
0.68
0.40–1.15
> 45
1783
51
1.34
0.89–2.02
1153
34
1.07
0.69–1.64
Time since RRSO (years)
< 2
1111
40
1.43
1.01–2.03
694
24
1.29
0.82–2.02
2–5
1261
32
1.06
0.71–1.57
722
17
0.82
0.48–1.38
> 5
1616
43
1.18
0.81–1.71
701
10
0.51
0.26–0.99
A Cox regression model was used adjusting for country, stratified by year of birth (≤ 1960, ≥ 1961) and with robust standard errors (clustering by family)
BC breast cancer, RRSO risk-reducing salpingo-oophorectomy, HR hazard ratio
aAmong BRCA1 mutation carriers, tumour pathology was unknown for 5 women without RRSO and 9 following RRSO
bAmong BRCA2 mutation carriers, tumour pathology was unknown for 12 women without RRSO and 7 following RRSO
Fig. 1
Association between risk-reducing salpingo-oophorectomy and breast cancer risk for BRCA1 mutation carriers in each study centre category
Fig. 2
Association between risk-reducing salpingo-oophorectomy and breast cancer risk for BRCA2 mutation carriers in each study centre category. HEBON and, for the 2–5-year category, kConFab were included in the “Other studies” category due to small numbers
×
×
The results of the sensitivity analyses were broadly similar to the main analyses (Additional file 1: Tables S6-S8).
Analyses were also adjusted for potential confounders: parity, BMI, age at first birth, and family history of breast or ovarian cancer. Association between breast cancer risk factors and uptake of RRSO are shown in Additional file 1: Tables S9 and S10. In the analyses adjusted for these covariates, the estimated effect sizes were similar to those in the unadjusted analyses (Additional file 1: Table S11). Effect estimates for the analyses carried out among women who had never taken HRT were similar to those in the primary analyses (Additional file 1: Tables S12 and S13).
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Discussion
Reliable estimation of the association between uptake and timing of RRSO and breast cancer risk is critical for informing counselling and clinical management of BRCA1 and BRCA2 mutation carriers. Our study of 3877 mutation carriers with 426 incident breast cancer cases is the largest prospective cohort to date and the first prospective study investigating breast cancer risk after RRSO for BRCA1 and BRCA2 mutation carriers in the context of menopausal status.
We found no significant association between RRSO and breast cancer risk for BRCA1 or BRCA2 mutation carriers, although the point estimate for the association for BRCA2 mutation carriers was less than 1 (HR = 0.88 (95% CI 0.62–1.24)) and lower when RRSO was carried out before the age of 45 (HR = 0.68 (95% CI 0.40–1.15) vs 1.07 (95% CI 0.69–1.64) after age 45). Our overall results are inconsistent with previous reports of ~ 50% reduction in breast cancer risk for BRCA1 mutation carriers [3, 6] but more consistent with a study by Kotsopolous et al. reporting risk reduction only for younger BRCA2 mutation carriers [16]. The latter study was prospective, but its results were based on only 3 breast cancers in women aged under 50 years; our study included more than twice as many BRCA2 mutation carriers overall, and the analyses were based on 31 incident breast cancers in premenopausal BRCA2 mutation carriers. In addition, we investigated associations by time since RRSO. For BRCA2 mutation carriers, we observed a decreasing trend in HR with increasing time since RRSO; relative to women who did not have an RSSO, the estimated HR > 5 years following RSSO was 0.51. In contrast, for BRCA1 mutation carriers, the HR was close to 1 at all times since RRSO.
While this is the largest prospective cohort of mutation carriers to date, the number of breast cancer cases was still limited, and hence, the confidence limits for the HR estimates were wide. Additional data would be needed to determine whether or not there is a modest protective effect of RRSO for BRCA1 mutation carriers and whether the suggested protective effect in BRCA2 mutation carriers is real.
There was some suggestion of differences in estimated effect size among studies for BRCA1 mutation carriers in the < 2-year and ‘2–5-year’ post-RRSO groups (Fig. 1), but the heterogeneity was not statistically significant. For BRCA2 mutation carriers, there was statistically significant heterogeneity in the RRSO > 5 years group (Fig. 2); this appeared to be driven by a large effect size in GENEPSO, based on only two breast cancers. Studies differed in methodology (including frequency of questionnaires, assessment of breast cancers or RRSO, loss to follow-up, and mean follow-up time). EMBRACE, GENEPSO, and HEBON ascertained participants through cancer genetics clinics, while BCFR used both clinic- and population-based recruitment. There was also some geographical variation in the uptake and age at RRSO (Additional file 1: Table S3). However, the cohorts were recruited and followed up over broadly similar periods (Additional file 1: Table S2).
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The strength of this study is its prospective design. Many of the biases identified in previous reports were addressed [7, 9, 17, 18]. We avoided cancer testing-induced bias by starting follow-up after mutation testing. Women were not selected for inclusion in the study on the basis of RRSO status, and time-dependent covariates were used to examine the effect of RRSO on breast cancer risk. While it is impossible to rule out bias due to unmeasured confounders in an observational study, adjustment for potential confounders (family history of breast and ovarian cancer, parity, age at first birth, and BMI) did not materially influence the results.
In the general population, HRT use is associated with an increased risk of breast cancer. HRT use after RRSO may therefore attenuate the risk reduction due to RRSO. Our preliminary analyses restricted to the subset of women not reporting HRT use gave broadly similar results (Additional file 1: Table S13), but the effects of HRT post-RRSO will need to be further investigated in larger cohorts and studies that consider the type, formulation, and duration of HRT use.
While often considered the ‘gold standard’ for investigating exposure-disease associations, prospective cohort studies are still prone to biases resulting from missing data, loss to follow-up, and informative censoring. In particular, there are gaps in data collection between questionnaires and between the last questionnaire and censoring, during which risk factors can change. We carried out sensitivity analyses in which risk factors were scored according to the most recent questionnaire, thus treating equally women who reached a particular questionnaire follow-up and those who dropped out before reaching this time point. This analysis avoids differential scoring of risk factors between those who developed breast cancer and those who did not develop breast cancer but would be expected to result in loss of power. We also carried out sensitivity analyses excluding two studies, kConFab and BCFR, as these studies were included in a recent analysis of RRSO in women with a family history of breast cancer (Additional file 1: Table S14) [19]. The results of these analyses were almost identical to those from the primary analyses. Reporting of natural menopause is also subject to recall bias and measurement error, and for about half of women reporting premenopausal status, the questionnaires did not cover the entire follow-up period.
A potential bias in the estimate of the RRSO association could arise if the timing of uptake of RRSO was related to the imminent transition to menopause. If there was a protective effect of early natural menopause on cancer risk for mutation carriers, this could result in an overestimation of the RRSO effect in the overall analysis. However, we found no evidence for a strong association between age at natural menopause and breast cancer risk (Additional file 1: Table S15), so any such bias is likely to be small.
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Recent genome-wide association analyses have shown that age at natural menopause is partially determined by variants in DNA repair genes, including common coding variants in BRCA1 [20]. Some studies have suggested that natural menopause occurs at a younger age for BRCA1 and BRCA2 mutation carriers compared with women from the general population [21‐24] and that BRCA1 mutation carriers have reduced ovarian reserve, and consequently a shortened reproductive lifespan, compared with non-carriers [25]. BRCA1 mutation carriers have also been found to be more likely to have occult ovarian insufficiency [21]. The effect of menopause on breast cancer risk might therefore differ in mutation carriers compared with the general population.
It is plausible that oophorectomy may reduce breast cancer risk in BRCA2 mutation carriers but not in BRCA1 mutation carriers. Breast cancer incidence peaks or plateaus at a younger age (early 40s) in BRCA1 than BRCA2 mutation carriers [2], perhaps suggesting that much of the carcinogenic process in BRCA1 mutation carriers takes place before women typically have RRSO and could influence disease incidence. In addition, BRCA2-related tumours are mainly oestrogen receptor (ER)-positive, and BRCA1-related tumours are mainly ER-negative. Previous analyses have suggested that in the general population, the association of early menopause with reduced breast cancer risk is larger for ER-positive disease [26]. Future analyses stratified by molecular subtype of breast cancer should help delineate mechanisms underlying this difference.
Optimum timing of RRSO should take into account reported age-specific incidences of ovarian cancer among BRCA1 and BRCA2 mutation carriers [2]. National Comprehensive Cancer Network (NCCN) guidelines for example recommend RRSO for BRCA1 mutation carriers, typically between 35 and 40 years of age and upon completion of child-bearing; for BRCA2 mutation carriers, these guidelines suggest that it is reasonable to delay RRSO until age 40–45 years [27]. Cancer Australia clinical guidelines recommend RRSO in confirmed mutation carriers around age 40 years, while considering individual risk and circumstances [28]. Adverse effects of RRSO at a young age, including reduced quality of life, cardiovascular disease, and osteoporosis, should also be taken into consideration. The results of our study indicate that caution should be exercised in conveying information on the risk of breast cancer after RRSO, and emphasise the need for continued surveillance for breast cancer following RRSO for women who do not opt for risk-reducing mastectomy,
The results of our analyses further suggest that continued follow-up of prospective cohorts of mutation carriers, with linkage to end-point and risk factor data, are required. These findings need replication in larger studies of BRCA1 and BRCA2 mutation carriers, particularly including more women in whom RRSO was carried out at a young age. More complete data on factors such as a family history of breast or ovarian cancer would be valuable. Prospective studies with long-term follow-up will also be important for analysing the association between HRT use and breast cancer risk following RRSO, as limited data have been available to date. In addition, RRSO has been reported to reduce mortality from breast cancer [29‐31], and there is some evidence that breast cancers arising after RRSO are more indolent than those arising without RRSO [32]. Prospective studies of survival after RRSO would further inform counselling and management of BRCA1 and BRCA2 mutation carriers.
Conclusions
While the primary purpose of RRSO is the prevention of ovarian cancer, information on the effect of RRSO on breast cancer risk is essential for clinical decision-making, including the decision to undergo a risk-reducing mastectomy. Our results suggest that a protective effect of RRSO for BRCA2 mutation carriers may manifest five or more years after surgery. While we cannot rule out an effect of RRSO on breast cancer risk for BRCA1 mutation carriers, this effect is unlikely to be as large.
We acknowledge the EMBRACE Centres; the Coordinating Centre: University of Cambridge and the Collaborating Centres; Guy’s and St. Thomas’ NHS Foundation Trust, London; Central Manchester University Hospitals NHS Foundation Trust, Manchester: Chapel Allerton Hospital, Leeds; The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton; Birmingham Women’s Hospital Healthcare NHS Trust, Birmingham; South Glasgow University Hospitals, Glasgow; Addenbrooke’s Hospital, Cambridge; St. Georges, London Royal Devon & Exeter Hospital, Exeter; Southampton University Hospitals NHS Trust, Southampton; Sheffield Children’s Hospital, Sheffield; Newcastle Upon Tyne Hospitals NHS Trust, Newcastle; Great Ormond Street Hospital for Children NHS Trust, London; Churchill Hospital, Oxford; Western General Hospital, Edinburgh; St Michael’s Hospital, Bristol; Belfast City Hospital, Belfast; Nottingham University Hospitals NHS Trust, Nottingham; University Hospital of Wales, Cardiff; Alder Hey Hospital, Liverpool; Kennedy Galton Centre, Harrow; Trinity College Dublin and St James’s Hospital, Dublin; University Hospitals of Leicester NHS Trust, Leicester; NHS Grampian & University of Aberdeen, Aberdeen; Glan Clwyd Hospital, Rhyl; and Singleton Hospital, Swansea. We also wish to thank Steve Ellis (data manager on the EMBRACE study 2010-2014).
BCFR thanks the members and participants in the Breast Cancer Family Registry from the New York, Northern California, Ontario, Philadelphia, Utah, and Australia sites for their contributions to the study.
CNIO thanks the staff for their assistance.
We acknowledge the GENEPSO Centers: the Coordinating Center: Institut Paoli-Calmettes, Marseille, France: Catherine Noguès, Lilian Laborde, Emmanuel Breysse who contributed by centralising, managing the data, and organising BRCA1 and BRCA2 mutation carriers follow-up and the Collaborating Centers which contributed to the mutation carriers recruitment and follow-up: Dominique Stoppa-Lyonnet, PhD, MD, Institut Curie, Paris; Marion Gauthier-Villars, MD, Institut Curie, Paris; Bruno Buecher, MD, Institut Curie, Paris; Olivier Caron, MD, Institut Gustave Roussy, Villejuif; Emmanuelle Fourme-Mouret, MD, Hôpital René Huguenin/Institut Curie, Saint Cloud; Jean-Pierre Fricker, MD, Centre Paul Strauss, Strasbourg; Christine Lasset, MD, Centre Léon Bérard, Lyon; Valérie Bonadona, PhD, MD, Centre Léon Bérard, Lyon; Pascaline Berthet, MD, Centre François Baclesse, Caen; Laurence Faivre, MD, Hôpital d’Enfants CHU and Centre Georges François Leclerc, Dijon; Elisabeth Luporsi, PhD, MD, CHR Metz-Thionville, Hôpital de Mercy, Metz, France; Véronique Mari, MD, Centre Antoine Lacassagne, Nice; Laurence Gladieff, MD, Institut Claudius Regaud, Toulouse; Paul Gesta, MD, Réseau Oncogénétique Poitou Charente, Niort; Hagay Sobol, PhD, MD, Institut Paoli-Calmettes, Marseille; François Eisinger, MD, Institut Paoli-Calmettes, Marseille; Catherine Noguès,MD, Institut Paoli-Calmettes, Marseille; Michel Longy, PhD, MD Institut Bergonié, Bordeaux; Catherine Dugast†, MD, Centre Eugène Marquis, Rennes;Chrystelle Colas, MD, GH Pitié Salpétrière, Paris; Isabelle Coupier, MD, CHU Arnaud de Villeneuve, Montpellier; Pascal Pujol, MD, CHU Arnaud de Villeneuve, Montpellier; Carole Corsini, MD, CHU Arnaud de Villeneuve, Montpellier; Alain Lortholary, MD, Centres Paul Papin, and Catherine de Sienne, Angers, Nantes; Philippe Vennin†,MD, Centre Oscar Lambret, Lille; Claude Adenis, MD, Centre Oscar Lambret, Lille; Tan Dat Nguyen, MD, Institut Jean Godinot, Reims; Capucine Delnatte, MD, Centre René Gauducheau, Nantes; Julie Tinat, MD, Centre Henri Becquerel, Rouen; Isabelle Tennevet, MD, Centre Henri Becquerel, Rouen; Jean-Marc Limacher, MD, Hôpital Civil, Strasbourg; Christine Maugard, PhD, Hôpital Civil, Strasbourg; Yves-Jean Bignon, MD, Centre Jean Perrin, Clermont-Ferrand; Liliane Demange†, MD, Polyclinique Courlancy, Reims; Clotilde Penet, MD, Polyclinique Courlancy, Reims; Hélène Dreyfus, MD, Clinique Sainte Catherine, Avignon; Odile Cohen-Haguenauer, MD, Hôpital Saint-Louis, Paris; Laurence Venat-Bouvet, MD, CHRU Dupuytren, Limoges; Dominique Leroux, MD, Couple-Enfant-CHU de Grenoble; Hélène Dreyfus, MD, Couple-Enfant-CHU de Grenoble; Hélène Zattara-Cannoni, MD, Hôpital de la Timone, Marseille; Sandra Fert-Ferrer, MD, Hôtel Dieu - Centre Hospitalier, Chambery; and Odile Bera, MD, CHU Fort de France, Fort de France. †Deceased.
HCSC acknowledge the staff for their technical assistance.
The Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON) consists of the following Collaborating Centers: Netherlands Cancer Institute (coordinating centre), Amsterdam, NL: F.B.L. Hogervorst; Erasmus Medical Center, Rotterdam, NL: J.M. Collée; Leiden University Medical Center, NL: C.J. van Asperen; Radboud University Nijmegen Medical Center, NL: A.R. Mensenkamp; University Medical Center Utrecht, NL: M.G.E.M. Ausems; Amsterdam Medical Center, NL: H.E.J. Meijers-Heijboer; VU University Medical Center, Amsterdam, NL: K. van Engelen; Maastricht University Medical Center, NL: M.J. Blok; University of Groningen, NL: J.C. Oosterwijk; The Netherlands Comprehensive Cancer Organisation (IKNL): J.Verloop; and the nationwide network and registry of histo- and cytopathology in The Netherlands (PALGA): E. van den Broek. HEBON thanks the study participants and the registration teams of IKNL and PALGA for part of the data collection.
INHERIT would like to thank the staff for the sample management and skilful assistance.
We thank Heather Thorne, Eveline Niedermayr and all the kConFab research nurses and staff, the heads and staff of the Family Cancer Clinics, and the many families who contribute to kConFab for their contributions to this resource.
Czech Republic, MMCI, Brno—for the data collection and management.
We wish to thank the Hungarian Breast and Ovarian Cancer Study Group members; the Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary; and the clinicians and patients for their contributions to this study.
Swedish scientists participating as SWE-BRCA collaborators from the Lund University and University Hospital and from Stockholm and Karolinska University Hospital.
Ethics approval and consent to participate
Participants provided written informed consent, and studies were approved by a relevant ethics committee.
Consent for publication
Not applicable
Competing interests
Wendy Chung reports potential conflict of interest from Regeneron and Biogen; Olivier Caron from AstraZeneca and IPSEN; Pascal Pujol, AstraZeneca, Genomic Health and Roche; D Gareth Evans, AstraZeneca and AmGen; Ros Eeles, Janssen-Cilag; Diane Eccles, Pierre Fabre, AstraZeneca; Karin Kast, Roche Pharma AG; and David Goldgar, University of Utah Foundation and Ambry Genetics. Anne-Marie Gerdes participated in an Advisory Board Meeting London in 2016, sponsored by Astra Zeneca about BRCA-testing in ovarian cancer.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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Risk-reducing salpingo-oophorectomy, natural menopause, and breast cancer risk: an international prospective cohort of BRCA1 and BRCA2 mutation carriers
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Nasim Mavaddat Antonis C. Antoniou Thea M. Mooij Maartje J. Hooning Bernadette A. Heemskerk-Gerritsen Catherine Noguès Marion Gauthier-Villars Olivier Caron Paul Gesta Pascal Pujol Alain Lortholary Daniel Barrowdale Debra Frost D. Gareth Evans Louise Izatt Julian Adlard Ros Eeles Carole Brewer Marc Tischkowitz Alex Henderson Jackie Cook Diana Eccles Klaartje van Engelen Marian J. E. Mourits Margreet G. E. M. Ausems Linetta B. Koppert John L. Hopper Esther M. John Wendy K. Chung Irene L. Andrulis Mary B. Daly Saundra S. Buys Javier Benitez Trinidad Caldes Anna Jakubowska Jacques Simard Christian F. Singer Yen Tan Edith Olah Marie Navratilova Lenka Foretova Anne-Marie Gerdes Marie-José Roos-Blom Flora E. Van Leeuwen Brita Arver Håkan Olsson Rita K. Schmutzler Christoph Engel Karin Kast Kelly-Anne Phillips Mary Beth Terry Roger L. Milne David E. Goldgar Matti A. Rookus Nadine Andrieu Douglas F. Easton GENEPSO EMBRACE HEBON kConFab Investigators on behalf of IBCCS kConFab BCFR
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