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# The Angelina Jolie effect: Contralateral risk-reducing mastectomy trends in patients at increased risk of breast cancer

## Abstract

Contralateral risk-reducing mastectomy (CRRM) rates have tripled over the last 2 decades. Reasons for this are multi-factorial, with those harbouring a pathogenic variant in the BRCA1/2 gene having the greatest survival benefit. On May 14th, 2013, Angelina Jolie shared the news of her bilateral risk-reducing mastectomy (BRRM), on the basis of her BRCA1 pathogenic variant status. We evaluated the impact of this news on rates of CRRM in women with increased risk for developing breast cancer after being diagnosed with unilateral breast cancer. The prospective cohort study included all women with at least a moderate lifetime risk of developing breast cancer who attended our family history clinic (1987–2019) and were subsequently diagnosed with unilateral breast cancer. Rates of CRRM were then compared between patients diagnosed with breast cancer before and after Angelina Jolie’s announcement (pre- vs. post-AJ). Of 386 breast cancer patients, with a mean age at diagnosis of 48 ± 8 years, 268 (69.4%) were diagnosed in the pre-AJ period, and 118 (30.6%) in the post-AJ period. Of these, 123 (31.9%) underwent CRRM, a median 42 (interquartile range: 11–54) days after the index cancer surgery. Rates of CRRM doubled following AJ’s news, from 23.9% pre-AJ to 50.0% post AJ (p < 0.001). Rates of CRRM were found to decrease with increasing age at breast cancer (p < 0.001) and tumour TNM stage (p = 0.040), and to increase with the estimated lifetime risk of breast cancer (p < 0.001) and tumour grade (p = 0.015) on univariable analysis. After adjusting for these factors, the step-change increase in CRRM rates post-AJ remained significant (odds ratio: 9.61, p < 0.001). The AJ effect appears to have been associated with higher rates of CRRM amongst breast cancer patients with increased cancer risk. CRRM rates were highest amongst younger women and those with the highest lifetime risk profile. Clinicians need to be aware of how media news can impact on the delivery of cancer related services. Communicating objective assessment of risk is important when counselling women on the merits of risk-reducing surgery.

## Introduction

In recent years, there has been an increase in the number of unilaterally affected breast cancer patients undergoing removal of the opposite healthy breast1—contralateral risk-reducing mastectomy (CRRM). Data from the US Surveillance, Epidemiology and End Results (SEER) program2 has shown a 300% increase in rates of CRRM (2002—3.9% to 2012—12.7%). This significant increase is surprising, given that overall rates of contralateral breast cancer are decreasing3, likely due to improved preventive effects of anti-endocrine therapy4, as well as there being no improvements in long term outcomes associated with CRRM in the majority of breast cancer patients5.

However, in women deemed to be at increased risk of developing breast cancer based on their family history or carrier status of a pathogenic genetic mutation (e.g. BRCA1/2), a survival benefit from CRRM has been shown, particularly in those with a pathogenic variant in BRCA1 and BRCA26,7,8 . This group of patients have an annual contralateral breast cancer (CBC) rate of approximately 2–3%9, compared to approximately 0.5% in patients with sporadic breast cancer4. Amongst high-risk patients who test negative for the BRCA1 or BRCA2 mutation, the risk of CBC appears to remain elevated, although some studies have suggested otherwise10.

On May 14th 2013, Angelina Jolie (AJ) shared with the world her experience of bilateral risk reducing mastectomies (BRRMs)11 based on her inheriting a maternally derived pathogenic variant mutation in the BRCA1 gene. Since this revelation, numerous changes in healthcare practices have been reported—the so-called “Angelina Jolie Effect”12. These include a 250% increase in referrals of women with a family history of breast cancer in the UK13, increases in rates of BRRM14 and health insurance reimbursement for BRCA testing15,16,17. In 2015, Angelina Jolie wrote about her experience with risk reducing salpingo-oophorectomy18—the effect of this on risk-reducing gynaecological surgery is yet to be determined.

Healthcare professionals need to be aware of the impact high profile personalities can have on health related issues. In 1987, Nancy Reagan’s well publicised decision to undergo a mastectomy19 over breast conservation in the USA resulted in a 25% reduction in the use of breast conservation, sparking a media frenzy with headlines claiming that such a personally publicised decision “set us back 10 years”20.

The reasons for choosing a CRRM are complex—patient’s personal experience, family history, radiological imaging, tumour factors, surgeon related factors and desire for symmetry/cosmesis need to be considered21, 22. In addition, breast cancer patients may substantially overestimate their risk, possibly influenced by the fact that some healthcare professionals have a poor understanding of CBC risk themselves23, 24. A challenging clinical scenario for breast clinicians is the newly diagnosed breast cancer patient who requests a CRRM. An understanding of the multiple factors discussed is critical to ensure this group of women receive evidence-based recommendations25, 26.

We analysed the trends of CRRM over a 29-year period amongst increased risk patients diagnosed with a unilateral breast cancer. Tumour and patient characteristics were assessed. The impact, if any, of the news of Angelina Jolie’s BRRM and her BRCA status was examined. To our knowledge, this is the first study to assess whether the “Angelina Jolie effect” affected the rate of CRRM amongst patients at an increased risk of developing a further breast cancer.

## Methods

Patients with an increased risk of developing breast cancer due to family history have been attending a dedicated Breast Cancer Family History Risk and Prevention Clinic (The Nightingale Breast Cancer Prevention Centre [NBCPC], Manchester, UK) for over 3 decades (1987- to date), with 14,198 women having been assessed as of February 2020. This dedicated service offers women appropriate risk assessment, radiological surveillance, lifestyle advice and risk-reducing strategies (BRRM, CRRM and chemoprevention). Lifetime and residual risk of breast cancer has been assessed using questionnaire information on family history and standard risk factors using Claus tables and Tyrer-Cuzick programme27,28,29. In the NBCPC, testing for BRCA1 and BRCA2 mutations has been available within our services since 1996. Additional genes are tested based on family history pedigree and cancer phenotype. Panel testing is not routinely performed. Ethics approval is covered by FHrisk Research Ethics Committee reference number 10/H1008/24.

The Family History database, a prospectively maintained database of all patients seen in the family history clinic was interrogated. All patients with a moderate or high risk of developing breast cancer (> 17% lifetime risk at any time during follow up)30 who were subsequently diagnosed with a unilateral breast cancer were included. Data relating to patient demographics and pathology, as per National Health Screening Breast Screening Programme guidelines31, were assessed.

The results of genetic testing and risk categorisation were also collected. However, data were only recorded for the most recent risk status; hence it was not known whether this information was available to the patient at the time the decisions regarding CRRM were made. Those patients who underwent CRRM were then identified, and rates were compared between those diagnosed with breast cancer in the periods before (pre-AJ) and after (post-AJ) Angelina Jolie’s announcement of BRRM (14th May 2013). As such, the pre-AJ group comprised of patients diagnosed with breast cancer between 14th Feb 1990–13th May 2013, and the post-AJ group between 14th May 2013–29th Nov 2019.

### Ethics approval

All the authors confirm that all experimental protocols were approved the University of Manchester and the University of Birmingham. All methods were carried out in accordance with relevant guidelines and regulations set by the University of Manchester and the University of Birmingham. Informed consent was obtained from all subjects (no subjects under 18) in accordance to the Ethics Committee at Manchester University NHS Foundation Trust. Our study protocols were covered by the Family History Risk application that gained ethics approval by the North West 7 Research Ethics Committee (10/H10008/24).

## Statistical methods

Comparisons between patients diagnosed with breast cancer in the periods pre- and post-AJ were performed using independent samples t-tests for normally distributed variables, Mann–Whitney U tests for ordinal variables, and Fisher’s exact tests for nominal variables.

The change in the rate of CRRM post-AJ was initially analysed using a Fisher’s exact test to compare between the two periods. Trends over time were then assessed using a segmented regression approach. Prior to this analysis, we calculated two variables, the first stating the number of years from the AJ date to the date of the index cancer diagnosis (i.e. negative values for those diagnosed pre-AJ), and the second being an indicator variable, indicating whether the diagnosis was pre- or post-AJ. A binary logistic regression model was then produced, with these two factors and an interaction term as covariates, giving the following model structure:

$$\upbeta _{0} +\upbeta _{{1}} *\left[ {{\text{Years\,post-AJ}}} \right] +\upbeta _{{2}} *\left[ {{\text{Indicator}}} \right] +\upbeta _{{3}} *\left[ {{\text{Years\,post-AJ}}} \right]*\left[ {{\text{Indicator}}} \right]$$

where: Indicator = 0 if the diagnosis was pre-AJ, or 1 if post-AJ.

From this model, the “slope” in the proportion undergoing CRRM per year in the pre-AJ period could be estimated (β1), as could the step-change increase in the proportion undergoing CRRM in the period after the AJ announcement (β2). The coefficient for the interaction term (β3) then allowed for the slopes in CRRM rates to be compared between the pre- and post-AJ periods.

A multivariable binary logistic regression model was then produced, in order to identify independent predictors of CRRM. Due to the correlation between factors, a forwards stepwise approach was used to select only those that were independently associated with CRRM for inclusion in the model. The factors selected by the stepwise procedure were then entered into the previously described segmented regression model, to adjust for the effect of these potentially confounding factors. All analyses were performed using IBM SPSS 22 (IBM Corp. Armonk, NY), with p < 0.05 deemed to be indicative of statistical significance throughout.

## Results

### Patient demographics

A total of 387 women were diagnosed with unilateral breast cancer and met the inclusion criteria of the study, with the first diagnosis being made in February 1990. Of these, one patient underwent CRRM prior to breast cancer being diagnosed (the cancer was an incidental finding), and so was excluded. Of the N = 386 patients included in the analysis, 268 (69.4%) were diagnosed prior to 14th May 2013, and were classified as pre-AJ, with the remainder (N = 118, 30.6%) being post-AJ. Comparisons between these two cohorts (Table 1) found no differences in patient age at breast cancer, or in the tumour size, grade, TNM stage (AJCC) or pathology. However, the post-AJ cohort were found to have significantly higher risk tumours (p < 0.001), with 55.1% vs. 36.6% being in the 40 + % lifetime risk category, and 58.3% vs. 35.2% being high (Non-BRCA) lifetime risk. The post-AJ cohort was also more likely to be lymph node negative (81.5% vs. 70.2%, p = 0.038), and had different distributions of molecular subtypes (p = 0.002), with fewer cases of triple-negative disease (17.9% vs. 30.1%).

### Rates of CRRM

In total, 31.9% (N = 123) of patients underwent CRRM, which was performed a median of 42 days (interquartile range: 11–154) after the index cancer surgery. Of those undergoing CRRM, this was performed during the index cancer surgery in 16.5% of cases, with the longest interval between breast cancer and CRRM being 58 months, and intervals being less than 28 months for the remainder. There were three patients diagnosed with breast cancer prior to the AJ announcement, and underwent CRRM in the post-AJ period, who were included in the pre-AJ group for analysis. However, in two of these patients, the interval from breast cancer to CRRM was less than three months; hence the decision to have CRRM was likely made prior to the AJ announcement. The third patient had an interval of 10 months between breast cancer and CRRM.

### Change over time in CRRM rates

A simple comparison between the pre- and post-AJ periods found a significant difference in rates of CRRM (p < 0.001), with a two-fold increase from 23.9% (64/268) to 50.0% (59/118). For the subgroup of BRCA1/2 carriers (N = 105), a similar increase in CRRM rates from 47.6% (40/84) to 90.5% (19/21) was observed between the periods (p < 0.001). The trends in CRRMs were further assessed using a segmented regression approach, the results of which are summarised in Table 2 and Fig. 1. In the pre-AJ period, the rate of CRRMs was not found to be changing over time [odds ratio (OR): 1.00 per year, p = 0.907]. Immediately after the AJ announcement, a significant step change increase in the CRRM rate was observed (OR: 4.29, p < 0.001). In the post-AJ period, the rates of CRRM were not found to be changing significantly over time (OR: 0.90 per year, p = 0.267), although there appeared to be a tendency for a decline.

### Other factors associated with CRRM

Across the cohort as a whole, rates of CRRM were found to decrease significantly with increasing age at breast cancer (p < 0.001) and TNM tumour stage (p = 0.040), and to increase significantly with risk (estimate lifetime/category, both p < 0.001) and tumour grade (p = 0.015) on univariable analysis (Table 3). A multivariable analysis was then performed, in order to assess the changes over time in CRRM rates, after accounting for these potentially confounding factors (Table 4, Fig. 2). This identified younger age and higher estimated lifetime risk to be significant independent predictors of CRRM (both p < 0.001). After adjusting for these factors, the step-change increase in CRRM rates post-AJ remained significant (OR: 9.61, p < 0.001). However, the subsequent decline in the CRRM rate was found to be more pronounced on multivariable analysis, with a near-significant OR of 0.83 per year (p = 0.076) in the post-AJ period.

## Discussion

Our study demonstrates that in women diagnosed with unilateral breast cancer, attending a family history clinic, rates of CRRM in the 20 years prior to AJ were stable, at approximately 24%. This rate more than doubled to 51.8% following the AJ announcement, with a sustained longer-term effect four years later.

These observed trends in the pre-AJ period are in contrast to overall trends from the UK (based on hospital episode statistics)32 and the US1, where CRRM rates over this period have doubled and tripled , respectively. It is important to emphasise that all patients in our study had an elevated CBC risk, based on family history or mutation status, whereas the aforementioned studies were based on SEER data1 and the Hospital Episode Statistics (HES) database, where data on risk was not available. A study from Switzerland33 showed no change in the rates of CRRM over time, and concluded that differences in medico-social and cultural factors, perceptions towards breast cancer and access to plastic surgery may account for differences between the US and Europe.

There are a number of studies that have assessed the impact of genetic testing on CRRM rates34,35,36. A recent study from Denmark35 confirmed that uptake of CRRM amongst women before the age of 45 years was significantly higher in those harbouring a pathogenic variant of the BRCA1/2 gene and those from high-risk families, compared to those with a lower genetic risk.

To our knowledge, this is the first study to report variations in rates of CRRM according to baseline lifetime risk of developing breast cancer. Patients attending the family history clinic are likely to have differing motivations for CRRM, compared to those with a sporadic cancer, although this has not been formally assessed. In addition, international variations exist towards attitudes to risk-reducing surgery. For example, in Poland, only 2.7% of BRCA carriers chose a BRRM, compared to 36% in the US37, suggesting cultural factors and access to breast reconstruction may contribute to this.

In our study, CRRM was most commonly performed in younger breast cancer patients (p < 0.001) who, amongst BRCA1 and BRCA2 carriers, derive the greatest survival benefit6,7,8. Tuttle et al.1 found that favourable prognostic factors (low tumour grade, negative nodal status and small tumour size) were associated with increasing rates of CRRM. They proposed that this was because this group of patients with a good breast cancer prognosis were likely to derive the most benefit from CRRM, as “their survival time is longer and thus their subsequent risk of contralateral breast cancer is greater”. These factors were not found to be significant independent predictors of CRRM in our study, although our cohort reflects breast cancers in the context of early detection, with later stage breast cancers being uncommon. In addition, on account of the relatively small sample size, it is possible that the study was underpowered to detect the associations between these factors and CRRM.

Overall uptake of CRRM in our cohort was 31.9% over the study period as a whole. There are wide variations in uptake of CRRM worldwide with the highest for BRCA1/2 carriers in North America (49.3%), compared to 0% in Norway38. Our own studies suggest that attitudes towards risk reducing surgery amongst breast surgeons in the UK are closely aligned with the USA39. As expected, this rate was highest amongst the youngest (< 45 years) and those with the highest risk profile (40 + % estimated lifetime risk), which is in keeping with previous studies38.

We recently reported an increase in the number of high-risk women undergoing BRRM following the Angelina Jolie’s’ article in the New York Times in May 201314. There was an up to six month delay in this increase—as women undergoing BRRM (in comparison to CRRM) follow a time consuming detailed protocol, including psychological assessment40. This is in contrast to CRRM, where the rise in number was almost immediate, suggesting that surgeons and multi-disciplinary teams may be willing to consider CRRM as part of the primary treatment, rather than undertaking a lengthier protocol similar to women being considered for BRRM. In addition, the effect seems to be sustained over a period of at least four years, although there is some decline in number of CRRMs following the initial surge. Long term follow up will be important to assess whether rates of CRRMs ultimately return to the pre-AJ baseline and, if so, how long the AJ effect persisted.

Our study demonstrated that almost a fifth of patients undergoing CRRM did so on the basis of a Stage 0 (DCIS—ductal carcinoma in situ) index breast cancer. This group with pre-invasive breast cancer is considered to have excellent long-term outcomes following breast conserving surgery or mastectomy. Mastectomy rates for DCIS declined between 1998 and 2004, with rates increasing to 201141. In the USA, women being diagnosed with DCIS are increasingly choosing bilateral mastectomies41, with a recent study42 showing that, despite adjusting for family history, rates of CBC amongst those diagnosed with DCIS are not increased sufficiently to warrant a recommendation of CRRM. Further work needs to determine the current trend of CRRM amongst women with DCIS.

Amongst women who tested positive for a pathogenic variant in either BRCA genes, uptake of CRRM in the post-AJ period was extremely high, at 90%. Data from a recent prospective study43 assessing the effect of a germline BRCA1 or BRCA2 mutation on breast cancer outcomes in patients with young-onset breast cancer found that this group (tested positive for BRCA1 or BRCA2) had similar survival compared to non-carriers. Therefore, clinicians need to be aware that this group of high-risk patients warrant further consideration when discussing risk-reducing strategies.

There are some limitations to the current study. We have reported the results from a single centre; hence the generalizability of findings to other centres and other countries cannot be confirmed. This also resulted in a relatively small sample size, although this did yield sufficient statistical power to obtain high levels of significance when analysing the AJ effect, even across risk groups. A high proportion of cases underwent genetic testing, allowing sub-analysis based on carrier status. However, the details of the genetic testing was not available to all patients prior to CRRM, hence may not have directly influenced their decision. Whilst there appeared to be a tendency for CRRM rates to be in decline after the initial step-change increase, the relatively short period of follow up in the post-AJ period was insufficient to conclusively assess whether this decline was significant. In addition, in the later years of the study, it is possible that rates of CRRM may have been underestimated, as patients may have opted to undergo CRRM after the follow up period had ended. This may be more pronounced in those undergoing neoadjuvant chemotherapy, which may delay the primary surgical decision, and may be particularly relevant in BRCA1, carriers whose tumours nearly always require chemotherapy. However, the times from surgery to CRRM were generally short, with a median of 42 days, hence this should have had minimal influence on the results.

We have previously reviewed the multiple risk factors for developing contralateral breast cancers and potential drivers for CRRM4. It has not been possible to adjust for these multiple factors in our current study. However, access to breast reconstruction has remained constant over the period of the study. Despite this, there the type of breast reconstruction (autologous or implant based) may be a confounding factors, although data were not available to assess this. In addition, access to neoadjuvant chemotherapy, changing trends in MRI and both patient and physician knowledge on objective risk assessment are other potentially important confounding factors for which data were not available to be assessed in the current study. . In addition to these factors that it was not possible to adjust for, it is possible that residual confounding may exist for factors that were accounted for in the multivariable analysis, particularly those that are correlated with both the outcome (CRRM) and primary factor (AJ), such as the estimated lifetime risk. As such, the results of the multivariable analyses should be interpreted in the light of the limitations of both unmeasured variables and residual confounding.

We recently published the “Manchester Guidelines for CRRM”25, which proposed a protocol to be used in the decision-making process regarding CBC, based on a review of the literature. The current study furthers our understanding into potential drivers for variations in rates of CRRM, highlighting that highly publicised case-studies of CRRM may have a sizable influence on patient decision making. In light of this, it is important to ensure that objective assessments of risk are clearly communicated when counselling women on the merits of risk-reducing surgery, to ensure that they have sufficient information to make a rational decision, and are not unduly influenced by high-profile cases.

## Conclusion

The “Angelina Jolie effect” appears to be have been associated with a sustained increase in the rates of CRRM amongst increased risk breast cancer patients in our single-centre study. When considering the trends over time of CRRM, it may be important to assess those with a significant family history and/or those harbouring a pathogenic variant in one of the breast cancer susceptibility genes as a separate group to those with sporadic breast cancer. Further studies should address the multiple factors that contribute to a decision for CRRM.

## Data availability

The datasets generated and/or analysed during the current study are not publicly available as this contains patient sensitive material. It may be available from the corresponding author on reasonable request.

## Abbreviations

CRRM:

Contralateral risk reducing mastectomy

BRRM:

Bilateral risk reducing mastectomy

DCIS:

Ductal carcinoma in situ

ILC:

Invasive lobular carcinoma

IDC:

Invasive ductal carcinoma

AJ:

Angelina Jolie

CBC:

Contralateral breast cancer

TNM:

Classification of malignant tumours (tumour node metastasis)

## References

1. Tuttle, T. M., Habermann, E. B., Grund, E. H., Morris, T. J. & Virnig, B. A. Increasing use of contralateral prophylactic mastectomy for breast cancer patients: a trend toward more aggressive surgical treatment. J. Clin. Oncol. 25(33), 5203–5209 (2007).

2. Wong, S. M. et al. Growing use of contralateral prophylactic mastectomy despite no improvement in long-term survival for invasive breast cancer. Ann. Surg. 265, 581–589 (2016).

3. Nichols, H. B., Berrington de Gonzalez, A., Lacey, J. V. Jr., Rosenberg, P. S. & Anderson, W. F. Declining incidence of contralateral breast cancer in the United States from 1975 to 2006. J. Clin. Oncol. 29(12), 1564–1569 (2011).

4. Basu, N. N., Barr, L., Ross, G. L. & Evans, D. G. Contralateral risk-reducing mastectomy: review of risk factors and risk-reducing strategies. Int. J. Surg. Oncol. 2015, 901046 (2015).

5. Carbine, N. E., Lostumbo, L., Wallace, J. & Ko, H. Risk-reducing mastectomy for the prevention of primary breast cancer. Cochrane Database Syst. Rev. 4, CD002748 (2018).

6. Evans, D. G. et al. Contralateral mastectomy improves survival in women with BRCA1/2-associated breast cancer. Breast Cancer Res. Treat. 140(1), 135–142 (2013).

7. Metcalfe, K. et al. Contralateral mastectomy and survival after breast cancer in carriers of BRCA1 and BRCA2 mutations: retrospective analysis. BMJ 348, g226 (2014).

8. Heemskerk-Gerritsen, B. A. et al. Improved overall survival after contralateral risk-reducing mastectomy in BRCA1/2 mutation carriers with a history of unilateral breast cancer: a prospective analysis. Int. J. Cancer 136(3), 668–677 (2015).

9. Basu, N. N. et al. Risk of contralateral breast cancer in BRCA1 and BRCA2 mutation carriers: a 30-year semi-prospective analysis. Fam. Cancer 14(4), 531–538 (2015).

10. Rhiem, K. et al. The risk of contralateral breast cancer in patients from BRCA1/2 negative high risk families as compared to patients from BRCA1 or BRCA2 positive families: a retrospective cohort study. Breast Cancer Res. 14(6), R156 (2012).

11. Jolie A. My medical choice. New York Times. Sect. Opinion (2013).

12. Desai, S. & Jena, A. B. Do celebrity endorsements matter? Observational study of BRCA gene testing and mastectomy rates after Angelina Jolie’s New York Times editorial. BMJ 355, i6357 (2016).

13. Evans, D. G. et al. The Angelina Jolie effect: how high celebrity profile can have a major impact on provision of cancer related services. Breast Cancer Res. 16(5), 442 (2014).

14. Evans, D. G. et al. Longer term effects of the Angelina Jolie effect: increased risk-reducing mastectomy rates in BRCA carriers and other high-risk women. Breast Cancer Res. 17, 143 (2015).

15. Lee, J. et al. Influence of the Angelina Jolie announcement and insurance reimbursement on practice patterns for hereditary breast cancer. J. Breast Cancer 20(2), 203–207 (2017).

16. Nabi, H., Dorval, M., Chiquette, J. & Simard, J. Increased use of BRCA mutation test in unaffected women over the period 2004–2014 in the U.S.: further evidence of the “Angelina Jolie Effect”?. Am. J. Prev. Med. 53(5), e195–e196 (2017).

17. Liede, A. et al. Risk-reducing mastectomy rates in the US: a closer examination of the Angelina Jolie effect. Breast Cancer Res. Treat. 171(2), 435–442 (2018).

18. Pitt, A. J. Diary of a Surgery. New York TImes. 2015 March (2015).

19. Nattinger, A. B., Hoffmann, R. G., Howell-Pelz, A. & Goodwin, J. S. Effect of Nancy Reagan’s mastectomy on choice of surgery for breast cancer by US women. JAMA 279(10), 762–766 (1998).

20. Kolata, G. Mastectomy Seen as Extreme Treatment New York Times (1987).

21. Arrington, A. K., Jarosek, S. L., Virnig, B. A., Habermann, E. B. & Tuttle, T. M. Patient and surgeon characteristics associated with increased use of contralateral prophylactic mastectomy in patients with breast cancer. Ann. Surg. Oncol. 16(10), 2697–2704 (2009).

22. Sorbero, M. E., Dick, A. W., Beckjord, E. B. & Ahrendt, G. Diagnostic breast magnetic resonance imaging and contralateral prophylactic mastectomy. Ann. Surg. Oncol. 16(6), 1597–1605 (2009).

23. Basu, N. N., Littlechild, S., Barr, L., Ross, G. L. & Evans, D. G. Attitudes to contralateral risk reducing mastectomy among breast and plastic surgeons in England. Ann. R. Coll. Surg. Engl. 98(2), 121–127 (2016).

24. Yao, K. et al. Survey of the deficits in surgeons’ knowledge of contralateral prophylactic mastectomy. JAMA Surg. 151(4), 391–393 (2016).

25. Basu, N. N., Ross, G. L., Evans, D. G. & Barr, L. The Manchester guidelines for contralateral risk-reducing mastectomy. World J. Surg. Oncol. 13, 237 (2015).

26. Tuttle, T. M. et al. Guidelines for guidelines: an assessment of the American Society of breast surgeons contralateral prophylactic mastectomy consensus statement. Ann. Surg. Oncol. 24(1), 1–2 (2017).

27. Evans, D. G. et al. Breast cancer risk assessment in 8,824 women attending a family history evaluation and screening programme. Fam. Cancer 13(2), 189–196 (2014).

28. Amir, E. et al. Evaluation of breast cancer risk assessment packages in the family history evaluation and screening programme. J. Med. Genet. 40(11), 807–814 (2003).

29. Evans, D. G., Astley, S., Stavrinos, P., Harkness, E., Donnelly, L. S., Dawe, S., et al. Improvement in risk prediction, early detection and prevention of breast cancer in the NHS Breast Screening Programme and family history clinics: a dual cohort study. Programme Grants for Applied Research. Southampton (UK) (2016).

30. Evans, D. G., Graham, J., O’Connell, S., Arnold, S. & Fitzsimmons, D. Familial breast cancer: summary of updated NICE guidance. BMJ 346, f3829 (2013).

31. Ellis IO CP, Hales S, Lee AHS, Pinder SE et al. Pathology reporting of breast disease in surgical excision specimens incorporating the dataset for histological reporting of breast cancer. 1–16 (2016).

32. Neuburger, J., Macneill, F., Jeevan, R., van der Meulen, J. H. & Cromwell, D. A. Trends in the use of bilateral mastectomy in England from 2002 to 2011: retrospective analysis of hospital episode statistics. BMJ Open 3(8), e003179 (2013).

33. Guth, U. et al. Increasing rates of contralateral prophylactic mastectomy—a trend made in USA?. Eur. J. Surg. Oncol. 38(4), 296–301 (2012).

34. Wang, F. et al. Negative genetic testing does not deter contralateral prophylactic mastectomy in younger patients with greater family histories of breast cancer. Ann. Surg. Oncol. 22(10), 3338–3345 (2015).

35. Terkelsen, T., Ronning, H. & Skytte, A. B. Impact of genetic counseling on the uptake of contralateral prophylactic mastectomy among younger women with breast cancer. Acta Oncol. 59(1), 60–65 (2020).

36. Elsayegh, N. et al. Contralateral prophylactic mastectomy rate and predictive factors among patients with breast cancer who underwent multigene panel testing for hereditary cancer. Cancer Med. 7(6), 2718–2726 (2018).

37. Metcalfe, K. A. et al. International variation in rates of uptake of preventive options in BRCA1 and BRCA2 mutation carriers. Int. J. Cancer 122(9), 2017–2022 (2008).

38. Metcalfe, K. A. et al. Predictors of contralateral prophylactic mastectomy in women with a BRCA1 or BRCA2 mutation: the Hereditary Breast Cancer Clinical Study Group. J. Clin. Oncol. 26(7), 1093–1097 (2008).

39. Basu, N.N.D.-H.M. et al. Breast surgeons’ attitudes towards bilateral risk reducing mastectomy—a comparison between the UK, the US, France and Germany. Eur. J. Surg. Oncol. 41(6), 23 (2015).

40. Lalloo, F. et al. A protocol for preventative mastectomy in women with an increased lifetime risk of breast cancer. Eur. J. Surg. Oncol. 26(7), 711–713 (2000).

41. Rutter, C. E., Park, H. S., Killelea, B. K. & Evans, S. B. Growing use of mastectomy for ductal carcinoma-in situ of the breast among young women in the United States. Ann. Surg. Oncol. 22(7), 2378–2386 (2015).

42. Miller, M. E. et al. Contralateral breast cancer risk in women with ductal carcinoma in situ: is it high enough to justify bilateral mastectomy?. Ann. Surg. Oncol. 24(10), 2889–2897 (2017).

43. Copson, E. R. et al. Germline BRCA mutation and outcome in young-onset breast cancer (POSH): a prospective cohort study. Lancet Oncol. 19(2), 169–180 (2018).

## Acknowledgements

DGE, AH and SH are supported by the National Institute for Health Research (NIHR) BRC Manchester (Grant Reference Number 1215-200074). This work was also supported by Prevent Breast Cancer.

## Funding

This is unfunded research. The study sponsor had no role in study design; in the collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication. The corresponding author confirms that he had full access to all the data in the study and had final responsibility for the decision to submit for publication.

## Author information

Authors

### Contributions

Conception and design: D.G.E.; Collection and assembly of data: D.G.E.; Data analysis and interpretation: N.B., J.H., S.C., D.G.E.; Manuscript writing: N.B., J.H., A.H., D.G.E.; Final approval of manuscript: All.

### Corresponding author

Correspondence to Narendra Nath Basu.

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### Competing interests

The authors declare no competing interests.

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Basu, N.N., Hodson, J., Chatterjee, S. et al. The Angelina Jolie effect: Contralateral risk-reducing mastectomy trends in patients at increased risk of breast cancer. Sci Rep 11, 2847 (2021). https://doi.org/10.1038/s41598-021-82654-x

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• DOI: https://doi.org/10.1038/s41598-021-82654-x