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Risk-reducing salpingo-oophorectomy, natural menopause, and breast cancer risk: an international prospective cohort of BRCA1 and BRCA2 mutation carriers

Breast Cancer Research volume 22, Article number: 8 (2020) Cite this article

A Correction to this article was published on 26 February 2020

This article has been updated

Abstract

Background

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.

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 [3,4,5,6]. 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.

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) [11,12,13,14,15]. 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
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Table 2 Characteristics of the cohort of BRCA1 and BRCA2 mutation carriers
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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.

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
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Fig. 1
figure1

Association between risk-reducing salpingo-oophorectomy and breast cancer risk for BRCA1 mutation carriers in each study centre category

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Fig. 2
figure2

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

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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).

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).

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.

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 [21,22,23,24] 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 [29,30,31], 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.

Availability of data and materials

The dataset supporting the conclusions of this article are available upon reasonable request. Requests should be made to Dr. M Rookus (NKI, Amsterdam, NL; m.rookus@nki.nl).

Change history

  • 26 February 2020

    After publication of the original article [1], we were notified that columns in Table 2 were erroneously displayed.

Abbreviations

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

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Acknowledgements

Study-specific acknowledgments:

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.

Funding

This work was supported by Cancer Research UK grants C1287/A17523, C1287/23382, C1287/A16563, C12292/A20861, and C12292/A11174.

Study-specific funding:

The BCFR was supported by grant UM1 CA164920 from the National Cancer Institute. The content of this manuscript does not necessarily reflect the views or policies of the National Cancer Institute or any of the collaborating centres in the Breast Cancer Family Registry (BCFR), nor does mention of trade names, commercial products, or organisations imply endorsement by the US Government or the BCFR.

CNIO was partially supported by the Spanish Ministry of Economy and Competitiveness (MINECO) SAF2014-57680-R and the Spanish Research Network on Rare Diseases (CIBERER). CNIO was also partially supported by FISPI16/00440.

INHERIT was supported by the Canadian Institutes of Health Research for the ‘CIHR Team in Familial Risks of Breast Cancer’ program—grant # CRN-87521—and the Ministry of Economic Development, Innovation and Export Trade—grant # PSR-SIIRI-701. The PERSPECTIVE project was supported by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research (GPH-129344), the Ministère de l’Économie, de la Science et de l’ Innovation du Québec through Genome Québec, and The Quebec Breast Cancer Foundation.

Jacques Simard is a Chairholder of the Canada Research Chair in Oncogenetics.

EMBRACE is supported by the Cancer Research UK grants C1287/A23382 and C1287/A16563.

D. Gareth Evans is supported by an NIHR grant to the Biomedical Research Centre, Manchester (IS-BRC-1215-20007). The investigators at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust are supported by an NIHR grant to the Biomedical Research Centre at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust. Ros Eeles and Elizabeth Bancroft are supported by the Cancer Research UK grant C5047/A8385. Ros Eeles is also supported by NIHR support to the Biomedical Research Centre at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust. Antonis C. Antoniou is funded by Cancer Research UK grants C12292/A20861 and C12292/A11174. MT is funded by the European Union Seventh Framework Program (2007–2013)/European Research Council (310018).

The German Consortium for Hereditary Breast and Ovarian Cancer (GC-HBOC) is supported by the German Cancer Aid (grant no 110837, Rita K. Schmutzler).

The national French cohort, GENEPSO, had been supported by a grant from the Fondation de France and the Ligue Nationale Contre le Cancer and is being supported by a grant from INCa as part of the European program ERA-NET on Translational Cancer Research (TRANSCAN-JTC2012, no. 2014-008).

HCSC was supported by CIBERONC 161200301 from ISCIII (Spain), partially supported by European Regional Development FEDER funds.

The HEBON study is supported by the Dutch Cancer Society grants NKI1998-1854, NKI2004-3088, NKI2007-3756, the Netherlands Organisation of Scientific Research grant NWO 91109024, the Pink Ribbon grants 110005 and 2014-187.WO76, the BBMRI grant NWO 184.021.007/CP46, and the Transcan grant JTC 2012 Cancer 12-054.

The IHCC was supported by Grant PBZ_KBN_122/P05/2004 and ERA-NET TRANSAN JTC 2012 Cancer 12-054 (ERA-NET-TRANSCAN/07/2014).

This work was supported by grants to kConFab and the kConFab Follow-Up Study from Cancer Australia (809195); the Australian National Breast Cancer Foundation (IF 17); the National Health and Medical Research Council (454508, 288704, 145684); the National Institute of Health U.S.A. (1RO1CA159868); the Queensland Cancer Fund; the Cancer Councils of New South Wales, Victoria, Tasmania and South Australia; and the Cancer Foundation of Western Australia. KAP is an Australian National Breast Cancer Foundation fellow.

MODSQUAD—Czech Republic, Brno, was supported by MH CZ - DRO (MMCI, 00209805) and by MEYS - NPS I - LO1413 to LF and MN.

The Hungarian Breast and Ovarian Cancer Study was supported by Hungarian Research Grants KTIA-OTKA CK-80745, NKFI OTKA K-112228, and the Norwegian EEA Financial Mechanism HU0115/NA/2008-3/ÖP-9.

Lund-BRCA collaborators are supported by the Swedish Cancer Society, Lund Hospital Funds, and European Research Council Advanced Grant ERC-2011-294576. Stockholm-BRCA collaborators are supported by the Swedish Cancer Society.

The funders had no role in the design of the study; the collection, analysis, or interpretation of the data; the writing of the manuscript; or the decision to submit the manuscript for publication.

Author information

Author notes

  1. Nadine Andrieu and Douglas F Easton are joint senior authors.

Affiliations

  1. Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN, UK

    Nasim Mavaddat, Antonis C. Antoniou, Daniel Barrowdale, Debra Frost & Douglas F. Easton

  2. Department of Epidemiology, Netherlands Cancer Institute, P.O. Box 90203, 1006 BE, Amsterdam, The Netherlands

    Thea M. Mooij, Marie-José Roos-Blom, Flora E. Van Leeuwen & Matti A. Rookus

  3. Department of Medical Oncology, Family Center Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands

    Maartje J. Hooning & Bernadette A. Heemskerk-Gerritsen

  4. DASC, Oncogénétique Clinique, Institut Paoli-Calmettes, Marseille, France

    Catherine Noguès

  5. Institut Curie, Service de Génétique, Paris, France

    Marion Gauthier-Villars

  6. Département de Médecine Oncologique, Gustave Roussy Hôpital Universitaire, Villejuif, France

    Olivier Caron

  7. Centre Hospitalier, Service Régional d’Oncologie Génétique Poitou-Charentes, Niort, France

    Paul Gesta

  8. Unité d’Oncogénétique, CHU Arnaud de Villeneuve, Montpellier, France

    Pascal Pujol

  9. Centre Catherine de Sienne, Service d’Oncologie Médicale, Nantes, France

    Alain Lortholary

  10. Genomic Medicine, Manchester Academic Health Sciences Centre, Division of Evolution and Genomic Sciences, Manchester University, Central Manchester, University Hospitals NHS Foundation Trust, Manchester, UK

    D. Gareth Evans

  11. Clinical Genetics, Guy’s and St Thomas’ NHS Foundation Trust, London, UK

    Louise Izatt

  12. Yorkshire Regional Genetics Service, Chapel Allerton Hospital and University of Leeds, Leeds, UK

    Julian Adlard

  13. Oncogenetics Team, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK

    Ros Eeles

  14. Department of Clinical Genetics, Royal Devon & Exeter Hospital, Exeter, UK

    Carole Brewer

  15. Academic Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK

    Marc Tischkowitz

  16. Institute of Genetic Medicine, Centre for Life, Newcastle Upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, UK

    Alex Henderson

  17. Sheffield Clinical Genetics Service, Sheffield Children’s Hospital, Sheffield, UK

    Jackie Cook

  18. University of Southampton Faculty of Medicine, Southampton University Hospitals NHS Trust, Southampton, UK

    Diana Eccles

  19. Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands

    Klaartje van Engelen

  20. Department of Gynaecological Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands

    Marian J. E. Mourits

  21. Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands

    Margreet G. E. M. Ausems

  22. Department of Surgical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands

    Linetta B. Koppert

  23. Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, 3010, Australia

    John L. Hopper, Kelly-Anne Phillips & Roger L. Milne

  24. Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA

    Esther M. John

  25. Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY, USA

    Wendy K. Chung

  26. Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA

    Wendy K. Chung & Mary Beth Terry

  27. Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada

    Irene L. Andrulis

  28. Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada

    Irene L. Andrulis

  29. Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA

    Mary B. Daly

  30. Department of Medicine, Huntsman Cancer Institute, University of Utah Health Sciences Center, Salt Lake City, UT, USA

    Saundra S. Buys

  31. The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia

    Kelly-Anne Phillips

  32. Human Genetics Group and Genotyping Unit, CEGEN, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain

    Javier Benitez

  33. Molecular Oncology Laboratory, Hospital Clinico San Carlos, IdISSC, CIBERONC (ISCIII), Madrid, Spain

    Trinidad Caldes

  34. Department of Genetics and Pathology, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland

    Anna Jakubowska

  35. Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland

    Anna Jakubowska

  36. Genomics Center, Centre Hospitalier Universitaire de Québec, Université Laval Research Center, 2705 Laurier Boulevard, Quebec City, Quebec, Canada

    Jacques Simard

  37. Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, A 1090, Vienna, Austria

    Christian F. Singer & Yen Tan

  38. Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary

    Edith Olah

  39. Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Zluty kopec 7, 65653, Brno, Czech Republic

    Marie Navratilova & Lenka Foretova

  40. Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark

    Anne-Marie Gerdes

  41. The Department of Oncology and Pathology, Karolinska Institute, 171 76, Stockholm, Sweden

    Brita Arver

  42. Department of Oncology, Lund University Hospital, Lund, Sweden

    Brita Arver & Håkan Olsson

  43. Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Cologne, Germany

    Rita K. Schmutzler

  44. Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany

    Rita K. Schmutzler

  45. Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany

    Christoph Engel

  46. Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany

    Karin Kast

  47. National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany

    Karin Kast

  48. German Cancer Consortium (DKTK), Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany

    Karin Kast

  49. Department of Medical Oncology Peter MacCallum Cancer Centre, Locked Bag 1, A’Beckett St, East Melbourne, Victoria, 8006, Australia

    Kelly-Anne Phillips

  50. Department of Epidemiology, Columbia University, New York, NY, USA

    Mary Beth Terry

  51. Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia

    Roger L. Milne

  52. Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia

    Roger L. Milne

  53. Department of Dermatology, University of Utah School of Medicine, 30 North 1900 East, SOM 4B454, Salt Lake City, UT, 841232, USA

    David E. Goldgar

  54. INSERM, U900, Paris, France

    Nadine Andrieu

  55. Institut Curie, Paris, France

    Nadine Andrieu

  56. Mines Paris Tech, Fontainebleau, France

    Nadine Andrieu

  57. PSL Research University, Paris, France

    Nadine Andrieu

  58. Centre for Cancer Genetic Epidemiology, Department of Oncology, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN, UK

    Douglas F. Easton

Authors
  1. Nasim Mavaddat
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  2. Antonis C. Antoniou
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  3. Thea M. Mooij
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  4. Maartje J. Hooning
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  5. Bernadette A. Heemskerk-Gerritsen
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  6. Catherine Noguès
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  7. Marion Gauthier-Villars
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  8. Olivier Caron
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  9. Paul Gesta
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  10. Pascal Pujol
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  11. Alain Lortholary
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  12. Daniel Barrowdale
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  13. Debra Frost
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  14. D. Gareth Evans
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  15. Louise Izatt
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  16. Julian Adlard
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  17. Ros Eeles
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  18. Carole Brewer
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  19. Marc Tischkowitz
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  20. Alex Henderson
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  21. Jackie Cook
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  22. Diana Eccles
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  23. Klaartje van Engelen
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  24. Marian J. E. Mourits
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  25. Margreet G. E. M. Ausems
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  26. Linetta B. Koppert
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  28. Esther M. John
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  29. Wendy K. Chung
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  30. Irene L. Andrulis
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  31. Mary B. Daly
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  32. Saundra S. Buys
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  33. Javier Benitez
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  34. Trinidad Caldes
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  35. Anna Jakubowska
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  36. Jacques Simard
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  37. Christian F. Singer
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  38. Yen Tan
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  39. Edith Olah
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  40. Marie Navratilova
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  41. Lenka Foretova
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  42. Anne-Marie Gerdes
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  43. Marie-José Roos-Blom
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  44. Flora E. Van Leeuwen
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  45. Brita Arver
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  46. Håkan Olsson
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  47. Rita K. Schmutzler
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  48. Christoph Engel
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  49. Karin Kast
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  51. Mary Beth Terry
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  53. David E. Goldgar
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  54. Matti A. Rookus
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  55. Nadine Andrieu
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  56. Douglas F. Easton
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Consortia

GENEPSO

  • Catherine Noguès
  • , Lilian Laborde
  • , Emmanuel Breysse
  • , Dominique Stoppa-Lyonnet
  • , Marion Gauthier-Villars
  • , Bruno Buecher
  • , Olivier Caron
  • , Emmanuelle Fourme-Mouret
  • , Jean-Pierre Fricker
  • , Christine Lasset
  • , Valérie Bonadona
  • , Pascaline Berthet
  • , Laurence Faivre
  • , Elisabeth Luporsi
  • , Véronique Mari
  • , Laurence Gladieff
  • , Paul Gesta
  • , Hagay Sobol
  • , François Eisinger
  • , Catherine Noguès
  • , Michel Longy
  • , Catherine Dugast
  • , Chrystelle Colas
  • , Isabelle Coupier
  • , Pascal Pujol
  • , Carole Corsini
  • , Alain Lortholary
  • , Philippe Vennin
  • , Claude Adenis
  • , Tan Dat Nguyen
  • , Capucine Delnatte
  • , Julie Tinat
  • , Isabelle Tennevet
  • , Jean-Marc Limacher
  • , Christine Maugard
  • , Yves-Jean Bignon
  • , Liliane Demange
  • , Clotilde Penet
  • , Hélène Dreyfus
  • , Odile Cohen-Haguenauer
  • , Laurence Venat-Bouvet
  • , Dominique Leroux
  • , Hélène Dreyfus
  • , Hélène Zattara-Cannoni
  • , Sandra Fert-Ferrer
  •  & Odile Bera

EMBRACE

  • Steve Ellis

HEBON

  • F. B. L. Hogervorst
  • , J. M. Collée
  • , C. J. van Asperen
  • , A. R. Mensenkamp
  • , M. G. E. M. Ausems
  • , H. E. J. Meijers-Heijboer
  • , K. van Engelen
  • , M. J. Blok
  • , J. C. Oosterwijk
  • , J. Verloop
  •  & E. van den Broek

kConFab Investigators

on behalf of IBCCS

kConFab

BCFR

Contributions

Concept and design was done by DFE, NM, NA ACA, and MAR. Statistical analysis was done by NM, NA, and DFE. Drafting of the manuscript was done by NM, DFE, NA, ACA, MAR, FEL, CE, KK, DEG, M-BT, K-AP, and RLM. Administrative, technical, or material support was done by TM, DB, and DF. All authors contributed to the acquisition, analysis, and interpretation of the data and revision of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Nasim Mavaddat.

Ethics declarations

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.

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Table S1. Studies and samples included in the prospective cohort of BRCA1 and BRCA2 mutation carriers. Table S2. Distributions of dates of breast cancer diagnosis, DNA test and start of follow-up in the prospective cohort. Table S3. Characteristics of reported Risk-Reducing Salpingo-oophorectomy. Table S4. Characteristics of cohort of BRCA1 and BRCA2 mutation carriers. Table S5. Association between RRSO and breast cancer by menopausal status. Table S6. Association between RRSO and breast cancer (sensitivity analysis with RRSO status changing at the age at the questionnaire with information on RRSO status changes (all studies except HEBON)). Table S7. Association between RRSO and breast cancer (sensitivity analysis dropping individuals with missing information at baseline). Table S8. Association between RRSO and breast cancer among BRCA1 and BRCA2 mutation carriers (sensitivity analysis excluding women with RRSO before baseline). Table S9. Association between family history of breast cancer and family history of ovarian cancer and RRSO uptake. Table S10. Association between parity, age at first birth, and body mass index and RRSO uptake. Table S11. Association between RRSO and breast cancer adjusting for Body Mass Index, family history of breast cancer, family history of ovarian cancer, parity and age at first birth. Table S12. Hormone replacement therapy use among women in the cohort. Table S13. Association between RRSO and breast cancer among women not exposed to hormone replacement therapy. Table S14. Association between RRSO and breast cancer (excluding kConFab/BCFR). Table S15. Association between natural menopause and breast cancer (censoring at RRSO). Ethics Committee Approvals

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Mavaddat, N., Antoniou, A.C., Mooij, T.M. et al. Risk-reducing salpingo-oophorectomy, natural menopause, and breast cancer risk: an international prospective cohort of BRCA1 and BRCA2 mutation carriers. Breast Cancer Res 22, 8 (2020). https://doi.org/10.1186/s13058-020-1247-4

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Keywords

  • Breast cancer
  • BRCA1
  • BRCA2
  • Mutation
  • Risk-reducing salpingo-oophorectomy

Breast Cancer Research

ISSN: 1465-542X

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