Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2015 Oct 1.
Published in final edited form as: Ann Surg Oncol. 2014 May 6;21(11):3466–3472. doi: 10.1245/s10434-014-3747-x

Predictors that influence Contralateral Prophylactic Mastectomy Election Among Women with Ductal Carcinoma In Situ who were evaluated for BRCA genetic testing

Nisreen Elsayegh 1, Henry M Kuerer 2, Heather Lin 3, Angelica M Gutierrez Barrera 1, Michelle Jackson 4, Kimberly I Muse 4, Jennifer K Litton 1, Constance Albarracin 1, Aimaz Afrough 1, Gabriel N Hortobagyi 1, Banu K Arun 1,4
PMCID: PMC4224140  NIHMSID: NIHMS637331  PMID: 24796968

Abstract

Background

Patients with ductal carcinoma in situ (DCIS) are at increased risk for developing contralateral breast cancer (CBC). Consequently, more women with DCIS are electing contralateral prophylactic mastectomy (CPM). We evaluated factors associated with CPM in patients with DCIS who underwent genetic counseling for BRCA testing.

Methods

This retrospective study involved 165 women with DCIS referred for genetic counseling between 2003 and 2011. Patient characteristics were age, marital and educational status, tumor markers, nuclear grade, family history of breast cancer (BC) and ovarian cancer (OC), race, Ashkenazi Jewish ancestry, and BRCA results. Univariate and multivariate logistic regression analyses were used to determine predictive factors associated with CPM election.

Results

Of 165 patients, 44 (27%) underwent CPM. Patients < 45 years were more likely to elect CPM (P = .0098). A BRCA+ mutation was found in 17 patients (10.3%), and BRCA+ women were more likely to elect CPM than BRCA- or untested women (P = 0.0001). Patients who had a family history of OC (57.7%) were more likely to choose CPM than those with no family history (P = 0.0004). Younger age, BRCA+, and an OC family history remained significant in the multivariate model (P < 0.008).

Conclusion

The CPM rate among patients with DCIS who undergo genetic counseling is high. Factors associated with increased likelihood of CPM among this group were age, BRCA+, and a family history of OC. Further studies are needed to evaluate patients' perceptions of CBC risk and their role in the likelihood of CPM choice.

Keywords: Intraductal carcinoma; ductal carcinoma in situ (DCIS); genetics; contralateral prophylactic mastectomy; Gene, BRCA1; Gene, BRCA2

Introduction

Ductal carcinoma in situ (DCIS) increased 7.2-fold between 1980 and 2001 as a result of the increased use of screening mammography,1 and the detection rate continued to increase during the last decade.2 Although DCIS is not immediately life threatening, patients with DCIS in 1 breast are at increased risk for developing contralateral breast cancer (CBC)3. The risk for developing either invasive cancer or DCIS in the contralateral breast is 0.6% per year.1,2 To reduce CBC risk, an increasing number of women with DCIS are electing to undergo contralateral prophylactic mastectomy (CPM).1, 2,4

One of the largest risk factors for breast cancer (BC) is hereditary predisposition. The BRCA1 and BRCA2 gene mutations have been shown to indicate a higher susceptibility to develop BC. Individuals who carry 1 of these mutations have a 43% to 84% risk of developing BC, and up to a 65% risk for CBC.5-6 Prospective studies of BRCA mutation carriers have shown that bilateral prophylactic mastectomy (BPM) reduces BC risk by more than 90%.7 It has been reported that among BRCA mutation carriers, up to 65% of women with BC and 15% to 60% of unaffected women undergo risk-reduction breast surgeries.8-11 The election to undergo prophylactic surgery is dependent upon several factors such as age, the desire to have children, and family history.17-20

The prevalence of BRCA mutations in patients with DCIS has been reported.1,12 Our previous study1 indicated a 27% prevalence of deleterious BRCA mutations among 118 patients with DCIS who were referred for genetic counseling. This study indicated that women who had DCIS and a family history of ovarian cancer (OC) had higher rates of BRCA positivity. Hwang et al12 retrospectively reviewed 129 BRCA-positive and 269 BRCA-negative women undergoing genetic testing, and found that 37% of BRCA carriers had DCIS. Several previous studies assessed the prevalence of BRCA1 and BRCA2 mutations among women with DCIS and reported rates between 3.3% and 13%.1,13,14 The frequency and patterns regarding CPM choice among patients with DCIS and BRCA mutations have not been well reported. Although several retrospective studies have examined the increasing rate of CPM among patients with DCIS, these studies did not examine variables such as family history, BRCA mutation status, or tumor characteristics and their influence for CPM.2

The aim of this study was to determine the rate of CPM election and further identify predictive factors for CPM election among patients with DCIS and who were referred for genetic counseling and followed in our high-risk BC and OC clinics.

Methods

Patient Selection and Data

Between 2003 and 2011, 165 women who were diagnosed with DCIS were referred for genetic counseling and were invited to participate in a prospective registry study that was approved by the internal review board at The University of Texas MD Anderson Cancer Center (MD Anderson). The criteria used to refer patients to genetic counseling were based on the National Comprehensive Cancer Network guidelines.15 We excluded patients who had micro-invasion, bilateral DCIS, OC, or a genetic test result indicating a BRCA1 or BRCA2 variant of uncertain significance.

Diagnoses were made based on pathologic evaluation by dedicated breast pathologists at UTMD Anderson. All patients underwent genetic counseling that included a detailed review of family history. Those who proceeded with genetic testing underwent comprehensive BRCA 1 and BRCA 2 gene sequencing and in some, large rearrangement test (BART) when indicated and patient agreed to testing. Patients' demographic and clinical characteristics were obtained from the medical record. The variables considered in our analysis were age at the time of diagnosis; race; ethnicity (Ashkenazi Jewish [AJ], or non-AJ ancestry); marital status; educational level completed; family history of BC and/or OC in at least 1 first-degree relative; total number of relatives who had had BC and/or OC; and, if available, patients' BRCA1 and BRCA2 genetic test results, tumor nuclear grade (as defined by the modified nuclear grade system), estrogen receptor (ER), and progesterone receptor (PR) status (as determined by immunohistochemical (IHC) analysis).

Statistical Analysis and Outcome Measures

Patients' demographic and clinical characteristics were compared between the two groups and defined according to CPM status (patients who did and did not elect to undergo CPM). Univariate analyses were performed to test the significance of each variable in relation to whether a patient had undergone CPM; chi-square tests were used for categorical variables, and t-tests/analysis of variance or the counterparts of the nonparametric approaches (Wilcoxon rank sum or Kruskal-Wallis tests) were used for continuous variables.16 Logistic regression analyses were used to assess the multivariate relationship between patient demographics and clinical characteristics and the probability of electing CPM.17 A logistic regression model was obtained by first including an initial set of candidate predictor variables for which P values (≤ 0.05) had been obtained in the univariate analysis. A stepwise backward elimination was then performed using P ≤ 0.05 for the significance level of the Wald chi-square for an effect to stay in the model.

Results

Patient characteristics are shown in Table 1. Of the 165 patients with DCIS who were included in the analysis, 44 (27%) underwent CPM. Seventeen (10.3%) of 165 patients were found to have a deleterious BRCA mutation, 91 (55%) did not have a BRCA mutation, and 57 (35%) did not undergo genetic testing. CPM was elected in 12 (71%) of the 17 patients who tested positive for a BRCA mutation, 23 (25%) of patients who tested negative, and 9 (16%) of the 57 patients who did not undergo genetic testing. Eight patients did not undergo testing because test was cancelled/ insurance restrictions, 3 were not interested/ declined testing, 14 did not meet testing criteria, 24 were not seen, 2 indicated other family members will undergo testing, 1 did not show, and 5 did not test for unknown reasons. Rates of CPM by BRCA status are illustrated in Table 2.

Table 1. Patient Characteristics (n = 165).

Variable Category Total No. of Patients Percentage of Total Patients
CPM No 121 73.3
Yes 44 26.7
Age at diagnosis ≤ 45 years 85 51.5
> 45 years 80 48.5
AJ ethnicity No 113 68.5
Unknown 3 1.8
Yes, maternal side 1 0.6
Yes, paternal side 40 24.2
Yes, both sides 8 4.9
Race Non-AJ white 91 55.2
AJ white 35 21.2
Black 8 4.9
Other 28 17.0
Unknown 3 1.8
Marital status Divorced 10 6.1
Married, living together 127 77.0
Separated 1 0.6
Single (never married) 23 13.9
Widowed 4 2.4
Education Advanced degree 36 21.8
College 52 31.5
Some college/technical school 39 23.6
High school 21 12.7
Unknown 17 10.3
First-degree family history of breast cancer 0 99 60.0
≥ 1 66 40.0
Total No. of relatives with a breast cancer diagnosis 0 40 24.2
≥ 1 125 75.8
First-degree family history of ovarian cancer 0 157 95.1
≥ 1 8 4.9
Total No. of relatives with an ovarian cancer diagnosis 0 139 84.2
≥ 1 26 15.7
ER status Negative 28 17.0
Positive 108 65.5
Unknown 29 17.6
PR status Negative 40 24.2
Positive 94 57.0
Unknown 31 18.8
Nuclear grade I 14 8.5
II 67 40.6
III 73 44.2
Unknown 11 6.7
BRCA result Positive 17 10.3
Negative 91 55.1
Not tested 57 35.0

Abbreviations: CPM, contralateral prophylactic mastectomy; AJ, Ashkenazi Jewish; ER, estrogen receptor; PR, progesterone receptor.

Table 2. Contralateral Prophylactic Mastectomy Rates by BRCA Mutation Status (n = 165).

CPM No CPM
Positive for BRCA mutation 12 (70.6%) 5 (29.4%)
Negative for BRCA mutation 23 (25.3%) 68 (74.7%)
Not tested 9 (15.8%) 48 (84.2%)

Univariate analysis (Table 3) demonstrated that BRCA-positive patients were more likely to choose CPM than were BRCA-negative and untested patients (P = 0.0001). Younger (≤ 45 years old) patients were more likely than older patients to choose CPM (P = 0.0098). When analyzed by family (first-degree relative) history of BC, the difference was not statistically significant (P = 0.221). However, patients with a family history of OC were more likely to choose CPM than were patients without an OC family history (P = 0.0004).

Table 3. Association Between Patient Characteristics and Contralateral Prophylactic Mastectomy in the Univariate Analysis.

Covariate Variables CPM (%) No CPM (%) P
Age at diagnosis ≤ 45 years 30 (35.3) 55 (64.7) 0.0098
> 45 years 14 (17.5) 66 (82.5)
Race Non-AJ white 29 (31.9) 62 (68.1) 0.1770
AJ white 7 (20) 28 (80)
Black 3 (37.5) 5 (62.5)
Others 4 (14.3) 24 (85.7)
Marital status Married, living together 34 (26.8) 93 (73.2) 0.9555
Others 10 (26.3) 28 (73.7)
Education Advanced degree 10 (27.8) 26 (72.2) 0.6239
College 14 (26.9) 38 (73.1)
Some college 9 (23.1) 30 (76.9)
High school 4 (19.0) 17 (81.0)
Unknown 7 (41.2) 10 (58.8)
Family history (first-degree relatives) BC + OC 3 (100) 0 (0) 0.0008
BC only 18 (28.6) 45 (71.4)
OC only 4 (80.0) 1 (20.0)
Neither 19 (20.2) 75 (79.8)
First-degree family history of breast cancer 0 23 (23.2) 76 (76.8) 0.2218
≥ 1 21 (31.8) 45 (68.2)
Total No. of relatives with a breast cancer diagnosis 0 9 (22.5) 31 (77.5) 0.4936
≥ 1 35 (28.0) 90 (72.0)
First-degree family history of ovarian cancer 0 37 (23.6) 120 (76.4) 0.0004
≥ 1 7 (87.5) 1 (12.5)
Total No. of relatives with an ovarian cancer diagnosis 0 29 (20.9) 110 (79.1) 0.0001
≥ 1 15 (57.7) 11 (42.3)
ER status Negative 7 (25.0) 21 (75.0) 0.8382
Positive 28 (25.9) 80 (74.1)
Missing/Unknown 9 (31.0) 20 (69.0)
PR status Negative 9 (22.5) 31 (77.5) 0.7822
Positive 26 (27.7) 68 (72.3)
Missing/Unknown 9 (29.0) 22 (71.0)
Nuclear grade I 3 (21.4) 11 (78.6) 0.8953
II 18 (26.9) 49 (73.1)
III 21 (28.8) 52 (71.2)
BRCA mutation test result Positive 12 (70.6) 5 (29.4) 0.0001
Negative 23 (25.3) 68 (74.7)
Not tested 9 (15.8) 48 (84.2)

Abbreviations: AJ, Ashkenazi Jewish; ER, estrogen receptor; PR, progesterone receptor.

The multivariate logistic regression model revealed an association between patient characteristics and CPM (Table 4). Age at diagnosis and having 1 or more family members with OC and positive BRCA mutation status remained independent significant predictors of having elected CPM. More specifically, younger patients (median of 45 years of age or younger) were more likely than older patients to choose CPM (odds ratio [OR] = 3.07; 95% confidence interval [CI], 1.33-7.09; P = 0.0085). Patients with relatives with OC were more likely to undergo CPM (OR = 4.34; 95%CI, 1.644-11.46; P = 0.0030). Results of BRCA genetic testing were significantly associated with the probability of having chosen to have CPM (P = 0.0041). Specifically, patients with positive BRCA results were more likely to undergo CPM than those who were not tested (OR = 8.64; 95%CI, 2.27-32.82; P = 0.0009) or those with negative test results (OR = 6.57; 95% CI, 1.94-22.20; P = 0.0024). Patients with negative BRCA results were more likely to undergo CPM than those who were not tested (OR = 1.32; 95% CI, 0.53-3.26). However, the difference in CPM rates between the two groups was only marginally significant (P = 0.0609).

Table 4. Association Between Patient Characteristics and Contralateral Prophylactic Mastectomy in the Multivariate Analysis.

Parameter Pr > ChiSq Odds Ratio 95% CI of OR P Value
Lower Limit Upper Limit
Intercept 0.1386
Age at diagnosis ≤ 45 yrs. vs> 45 yrs. 0.0085 3.067 1.332 7.092 0.0085
No. of relatives with an ovarian cancer diagnosis = 0 vs ≥ 1 0.0030 4.340 1.644 11.456 0.0030
BRCA result Positive vs not tested 0.0009 8.637 2.273 32.820 0.0041
Positive vs Negative 0.0024 6.5702 1.9447 22.1972
Negative vs not tested 0.0609 1.315 0.530 3.259

Abbreviations: OR, odds ratio; CI, confidence interval; Pr, probability

The final multivariate logistic regression model revealed an association between patient characteristics and CPM among patients who were BRCA-negative (Table 5). Age at diagnosis and having 1 or more family members with OC remained independent significant predictors of having elected CPM among patients who tested negative for a BRCA mutation. The regression showed a marginally significant trend that revealed younger patients (median of 45 years of age or younger) were more likely than older patients to have chosen CPM (OR = 0.373; 95% CI, 0.125-1.118; P = 0.0784). Patients with relatives with OC were more likely to undergo CPM (OR = 4.906; 95% CI, 1.479-16.281; P = 0.0094).

Table 5. Association Between Patient Characteristics and CPM in the Multivariate Analysis Among Patients Who are BRCA-Negative.

Parameter Odds Ratio 95% Wald Confidence Limits of Odds Ratio P Value
Lower limit Upper limit
Intercept 1 0.0014
Age at diagnosis > 45 vs ≤ 45 0.373 0.125 1.118 0.0784
No. of relatives with ovarian cancer diagnosis ≥ 1 vs 0 4.906 1.479 16.281 0.0094

Discussion

This study revealed a 27% CPM rate among patients with DCIS, supporting previous work demonstrating the increasing rate of CPM among patients with DCIS.2 Our multivariate regression analysis revealed that age of 45 years or younger, BRCA positivity, and having 1 or more relatives with OC independently predicted the decision to undergo CPM. To our knowledge, our study is the first to report rates of CPM among patients with DCIS in light of family history and genetic test results. Few studies have examined the rate of CPM among patients with DCIS; the first to do so by Tuttle and associates analyzed the initial treatment of patients with unilateral DCIS to determine the CPM rate between 1998 and 2005. 2 A 13.5% CPM rate was revealed among patients who had a mastectomy on the affected side; among all surgically treated patients, the rate had increased by 148% between 1998 and 2005. The study populations were different, however. The Tuttle population was analyzed using the Surveillance Epidemiology and End Results database, which allowed for a more population-based approach. Our study included patients who were analyzed based upon referral for genetic counseling and genetic testing.

It has been shown that age plays a role in the decision to pursue prophylactic mastectomy. Our data shows that younger DCIS patients are more likely than older patients to elect prophylactic mastectomies. Tuttle's findings also show that DCIS patients younger than 40 years were significantly associated with increased rates of CPM in their cohort. 2 Moreover, Heemskerk-Gerritsen and colleagues18 found that prophylactic mastectomy was more prevalent among younger affected (with a history of BC) and/or unaffected women between 37 and 44 years of age.18 Younger patients especially may benefit from CPM because of their potentially longer lifespan and increased risk for a subsequent BC.

It is also crucial to acknowledge and address the impact of genetic test results on patients' psychological adjustment. Receiving a positive genetic test result is an anxiety-provoking event that elicits psychological distress. Electing CPM can reduce anxiety and constant worry for certain patients19. Therefore, patients' perception of future (BC) risk and the psychosocial implications a positive genetic test result can trigger need to be addressed appropriately with care providers.

It has been well established that BPM in BRCA mutation carriers reduces BC risk by 90%.9,7,21,23 In a prospective study, Meijers-Heijbor et al20 evaluated the incidence of BC among 139 BRCA1 and BRCA2 mutation carriers who elected to undergo either BPM or close surveillance only. During an average follow-up interval of 3 years, 8 of the 63 women in the surveillance group developed BC, whereas none of the 76 women in the prophylactic-mastectomy group developed BC. However, in their updated paper,18 only 1 previously unaffected woman developed metastatic BC almost 4 years after prophylactic mastectomy. Rebbeck et al.7 evaluated 483 women with deleterious BRCA1 and BRCA2 mutations from the time of their ascertainment to time of surgery. BC was diagnosed in only 1.9% of women who had BPM, and 49% of women who did not have the procedure. Hartmann and associates21 identified 26 women with an alteration in the BRCA1 or BRCA2 genes (18 had deleterious changes, and 8 had variants of uncertain clinical significance) who underwent prophylactic mastectomy. Of these women, 26 patients, none developed BC after 13.4 years of follow-up. These studies provide a plethora of evidence for the effectiveness of BPM in BC risk reduction among BRCA mutation carriers.

Our data show a substantial proportion (25%) of patients who tested negative for a BRCA mutation still elected CPM. Our results confirm that the presence of family history of OC and younger age (≤ 45) at diagnosis explain why these patients elected CPM despite their negative BRCA genetic test result. Few studies examined CPM among patients who tested negative for BRCA mutations; therefore we are currently analyzing a prospective cohort. Howard-McNatt et al 22 examined CPM among patients with invasive BC who tested negative for a BRCA mutation. Among 110 women who received genetic testing, 37% of the BRCA-negative women chose CPM.

Goldflam and colleagues23 found evidence that family history of BC was mostly associated with CPM. They retrospectively reviewed data for 239 patients with unilateral early-stage BC who elected to undergo CPM, and family history of BC was the most frequent reason given to undergo CPM in more than half of the patients. Contrary to this study, family history of BC did not predict CPM in our study. However, family history of OC was not evaluated in the Goldflam study. It has been shown that family history of OC is more suggestive of a BRCA mutation than a family history of BC.1 In turn, BRCA positivity is associated with increased risk for primary BC and CBC, which explains why patients are concerned about risk for CBC and elect CPM. Our data indicated a relationship between BRCA positivity and family history of OC in CPM predictions.

It's noteworthy to mention the improvements in cosmetic outcomes related to skin and nipple sparing mastectomy and expertise in plastic surgical reconstruction has markedly influenced the use of CPM in patients with DCIS at MD Anderson. In our most recent overall experience among 2,037 patients treated for DCIS, the median pathologic size of the lesion was 1.3 cm and the use of CPM was highly significantly related to age (37% < 40 years, 17% 40-70 years, 6% > 70 years) as well as the use of immediate reconstruction (82% < 40 years, 66% 40-70 years, 16% > 70 years.24

Our results should be interpreted in light of study limitations; this was a retrospective review of clinical data from women who were referred to clinical cancer genetics for genetic counseling and thus a selected population.

Our results may not be generalizable to all patients with DCIS owing to selection bias. Future studies are needed to evaluate patients' perceptions of CBC and how these perceptions affect their decision to undergo CPM. The decision to undergo CPM is personal and individualized; consequently, patients need to have an accurate estimate of their CBC risk as well as potential risks and benefits of CPM. Montgomery and colleagues reported that 6% of patients who elected CPM regretted their decision for various reasons such as diminished sense of sexuality, poor cosmetic result, and lack of education regarding alternative methods. 25 Researchers need to explore whether the decision to undergo CPM is driven by physician recommendation or by a complete understanding of CBC risk. Considering the complexity of the decision to undergo CPM, genetic testing is a critical step that, if taken, can help patients interpret their risk and make informed decisions. New data may inform clinicians' recommendations and patients' decision making in weighing CBC risk against the short and long-term effects of prophylactic surgery. At present, CPM remains a highly desirable procedure among patients with DCIS who wish to reduce their CBC risk.

Acknowledgments

Research support: Partially funded by the Lynne Cohen Foundation for Ovarian Cancer Research, the Nellie B. Connally Breast Cancer Research Fund, and the University of Texas MD Anderson Cancer Center Support Grant (CA016672) from the National Institutes of Health

Footnotes

Conflict of Interest Disclosures: The manuscript has never been published and is not under consideration for publication elsewhere. The authors have no financial disclosures to declare.

References

  • 1.Bayraktar S, Elsayegh N, Gutierrez Barrera A, et al. Predictive factors for BRCA1/BRCA2 mutations in women with ductal carcinoma in situ. Cancer. 2012;118:515–1522. doi: 10.1002/cncr.26428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Tuttle T, Jarosek S, Habermann E, et al. Increasing rates of contralateral prophylactic mastectomy among patients with ductal carcinoma in situ. J Clin Oncol. 2009;27:1362–1367. doi: 10.1200/JCO.2008.20.1681. [DOI] [PubMed] [Google Scholar]
  • 3.Kuerer HM, Albarracin CT, Yang WT, et al. Ductal carcinoma in situ: state of the science and roadmap to advance the field. J Clin Oncol. 2009;27:279–88. doi: 10.1200/JCO.2008.18.3103. [DOI] [PubMed] [Google Scholar]
  • 4.Yi M, Hunt K, Arun B, et al. Factors affecting the decision of breast cancer patients to undergo contralateral prophylactic mastectomy. Cancer Prev Res. 2010;3:1026–1034. doi: 10.1158/1940-6207.CAPR-09-0130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Ford D, Easton DF, Stratton M, et al. Genetic heterogeneity and penetrance analysis of the BRCA1 and BRCA2 genes in breast cancer families. The Breast Cancer Linkage Consortium. Am J Hum Genet. 1998;62:676–89. doi: 10.1086/301749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Chen S, Iversen ES, Friebel T, et al. Characterization of BRCA1 and BRCA2 mutations in a large United States sample. J Clin Oncol. 2006;24:863–871. doi: 10.1200/JCO.2005.03.6772. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Rebbeck TR, Friebel T, Lynch HT, et al. Bilateral prophylactic mastectomy reduces breast cancer risk in BRCA1 and BRCA2 mutation carriers: the PROSE Study Group. J Clin Oncol. 2004;22:1055–1062. doi: 10.1200/JCO.2004.04.188. [DOI] [PubMed] [Google Scholar]
  • 8.Chung A, Huynh K, Lawrence C, Sim MS, Giuliano A. Comparison of patient characteristics and outcomes of contralateral prophylactic mastectomy and unilateral total mastectomy in breast cancer patients. AnnSurg Oncol. 2012;19:2600–2606. doi: 10.1245/s10434-012-2299-1. [DOI] [PubMed] [Google Scholar]
  • 9.Stuckey A, Dizon D, Scalia Wilbur J, et al. Clinical characteristics and choices regarding risk-reducing surgery in BRCA mutation carriers. Gynecol Obstet Invest. 2010;69:270–273. doi: 10.1159/000276573. [DOI] [PubMed] [Google Scholar]
  • 10.Wainberg S, Husted J. Utilization of screening and preventive surgery among unaffected carriers of a BRCA1 or BRCA2 gene mutation. Cancer Epidemiol Biomarkers Prev. 2004;13:1989–1995. [PubMed] [Google Scholar]
  • 11.Skytte AB, Gerdes AM, Andersen MK, et al. Risk-reducing mastectomy and salpingo-oophorectomy in unaffected BRCA mutation carriers: uptake and timing. Clin Genet. 2010;77:342–349. doi: 10.1111/j.1399-0004.2009.01329.x. [DOI] [PubMed] [Google Scholar]
  • 12.Hwang ES, et al. Ductal carcinoma in situ in BRCA mutation carriers. J Clin Oncol. 2007;25:642–647. doi: 10.1200/JCO.2005.04.0345. [DOI] [PubMed] [Google Scholar]
  • 13.Lakhani SR, Jacquemier J, Sloane JP, et al. Multifactorial analysis of differences between sporadic breast cancers and cancers involving BRCA1 and BRCA2 mutations. J Natl Cancer Inst. 1998;90:1138–1145. doi: 10.1093/jnci/90.15.1138. [DOI] [PubMed] [Google Scholar]
  • 14.Frank TS, Deffenbaugh AM, Reid JE, et al. Clinical characteristics of individuals with germline mutations in BRCA1 and BRCA2: analysis of 10,000 individuals. J Clin Oncol. 2002;20:1480–1490. doi: 10.1200/JCO.2002.20.6.1480. [DOI] [PubMed] [Google Scholar]
  • 15.National Comprehensive Cancer Network. Genetic/Familial High-Risk Assessment: Breast and Ovarian (Version 1.2013) [Accessed November 07, 2013]; Available online: http://www.nccn.org/professionals/physician_gls/pdf/genetics_screening.pdf.
  • 16.Snedecor GW, Cochran WG. Statistical Methods. 7th. Ames, IA: The Iowa State University Press; 1980. [Google Scholar]
  • 17.Hosmer DW, Lemeshow S. Applied Logistic Regression. 2nd. New York: Wiley; 2000. [Google Scholar]
  • 18.Heemskerk-Gerritsen BA, Brekelmans CT, Menke-Pluymers MB, et al. Prophylactic mastectomy in BRCA1/2 mutation carriers and women at risk of hereditary breast cancer: long-term experiences at the Rotterdam Family Cancer Clinic. Ann Surg Oncol. 2007;14:3335–3344. doi: 10.1245/s10434-007-9449-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Litton JK, et al. Perception of screening and risk reduction surgeries in patients tested for a BRCA deleterious mutation. Cancer. 2009;115:1598–1604. doi: 10.1002/cncr.24199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Meijers-Heijbor H, Van Geel B, Van Putten WL, et al. Breast cancer after prophylactic mastectomy in women with a BRCA1 or BRCA2 mutation. N Engl J Med. 2001;345:159–164. doi: 10.1056/NEJM200107193450301. [DOI] [PubMed] [Google Scholar]
  • 21.Hartmann LC, Sellers TA, Schaid DJ, et al. Efficacy of bilateral prophylactic mastectomy in BRCA1 and BRCA2 gene mutation carriers. J Natl Cancer Inst. 2001;93:1633–1637. doi: 10.1093/jnci/93.21.1633. [DOI] [PubMed] [Google Scholar]
  • 22.Howard-McNatt M, Schroll RW, Hurt GJ, Levine EA. Contralateral prophylactic mastectomy in breast cancer patients who test negative for BRCA mutations. Am J Surg. 2011;202:298–302. doi: 10.1016/j.amjsurg.2011.04.001. [DOI] [PubMed] [Google Scholar]
  • 23.Goldflam K, Hunt KK, Gershenwald JE, et al. Contralateral prophylactic mastectomy. Predictors of significant histologic findings. Cancer. 2004;101:1977–86. doi: 10.1002/cncr.20617. [DOI] [PubMed] [Google Scholar]
  • 24.Alvarado R, et al. Biology, treatment, and outcome in very young and old women with DCIS. Ann Surg Oncol. 2012;19:3777–84. doi: 10.1245/s10434-012-2413-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Montgomery LL, Tran KN, Heelan MC, et al. Issues of regret in women with contralateral prophylactic mastectomies. Ann Surg Oncol. 1999;6:546–52. doi: 10.1007/s10434-999-0542-1. [DOI] [PubMed] [Google Scholar]

RESOURCES