Frost, Marlene H.

Abstract Objective: Contralateral PM (CPM) and Bilateral PM (BPM) markedly decrease, but do not completely eliminate the possibility of development of a new BC on the side of the PM. Given the relative infrequency of its occurrence, little is known about the clinical characteristics, presentation, and management of patients who develop BC after PM. Our aim was to review our institutional experience of BC occurring after PM. Methods: Between 1960 and 1993, 1,065 women underwent BPM and 1,643 women with unilateral BC treated with therapeutic mastectomy underwent a CPM. Medical records were reviewed and study-specific questionnaires were sent to all women at 10 years and 20 years after PM. BC after PM included locoregional invasive BC or DCIS on the side of the PM. Results: Thirteen patients who underwent BPM developed BC after PM. Twelve patients who underwent CPM developed a subsequent BC on the side of the CPM. The median follow-up time from PM was 22 years (range 3-34). Detailed clinical characteristics of BC after PM are shown in Table 1. Presentations included: disease limited to the axilla without evidence of a local primary 4 (16%); synchronous local and axillary disease 1 (4%); synchronous local disease and distant metastases 4 (16%); clinically isolated local disease 17 (68%). Characteristics of BC Following PM All Patients (n=25)BPM Cohort (n=13)CPM Cohort (n=12)Median age at diagnosis of BC after PM56 (range 38-81)58 (range 38-71)54 (range 39-81)Median time to development of BC after PM (years)7 (range 1-25)6 (range 2-25)8 (range 1-21)Presentation Self-detected abnormality23 (92%)12 (92%)11 (92%)Screening mammogram1 (4%)02 (16%)Not known1 (4%)1 (8%)0Local disease only17 (68%)10 (77%)7 (58%)-Sub-areolar7 (41%)6 (40%)1 (8%)-UOQ/axillary tail2 (12%)02 (16%)-Lower/inframmamary crease2 (12%)1 (10%)1(8%)Chest wall or unspecified6 (35%)3 (30%)3 (25%)Local & regional (axillary) disease1 (4%01 (8%)Axillary BC without evidence of local primary4 (16%)1 (8%)3 (25%)Synchronous local and distant disease3 (12%)2 (15%)1 (8%) Of the 17 patients with isolated local disease, 11 (65%) underwent a completion/redo mastectomy, local excision of the tumor was performed in 5 (29%), and surgical management was unknown in 1 (6%). Ten of 17 (59%) underwent axillary lymph node dissection, 1 (6%) underwent sentinel lymph node biopsy, 1 did not undergo axillary staging, and axillary management was unknown in 5 (29%). Median tumor size was 0.9 cm (range 0.3-3.5) and only 1 of 17 (6%) patients was confirmed to have pathologic nodal involvement. Twelve of 17 (71%) received some type of adjuvant therapy: chemotherapy and/or endocrine therapy 3 (18%); radiotherapy 2 (12%); both 5 (29%); none 5 (29%). With a median follow-up of 7 years since diagnosis of local BC after PM, there has been one isolated local recurrence and 2 distant recurrences as first event. Conclusion: BC can occur after PM. With rising rates of PM, understanding management of BC after PM is important. Most common presentation is local disease and can be managed with resection with consideration of adjuvant therapy. Multidisciplinary management of these cases is needed. Citation Format: Robert W Mutter, Tanya L Hoskin, Marlene H Frost, Joanne L Johnson, Lynn C Hartmann, Judy C Boughey. Breast cancer (BC) following prophylactic mastectomy (PM), a clinical entity: Presentation, management, and outcomes [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P5-12-05.

Purpose Optimal early detection and prevention for breast cancer depend on accurate identification of women at increased risk. We present a risk prediction model that incorporates histologic features of biopsy tissues from women with benign breast disease (BBD) and compare its performance to the Breast Cancer Risk Assessment Tool (BCRAT). Methods We estimated the age-specific incidence of breast cancer and death from the Mayo BBD cohort and then combined these estimates with a relative risk model derived from 377 patient cases with breast cancer and 734 matched controls sampled from the Mayo BBD cohort to develop the BBD–to–breast cancer (BBD-BC) risk assessment tool. We validated the model using an independent set of 378 patient cases with breast cancer and 728 matched controls from the Mayo BBD cohort and compared the risk predictions from our model with those from the BCRAT. Results The BBD-BC model predicts the probability of breast cancer in women with BBD using tissue-based and other risk factors. The concordance statistic from the BBD-BC model was 0.665 in the model development series and 0.629 in the validation series; these values were higher than those from the BCRAT (0.567 and 0.472, respectively). The BCRAT significantly underpredicted breast cancer risk after benign biopsy (P = .004), whereas the BBD-BC predictions were appropriately calibrated to observed cancers (P = .247). Conclusion We developed a model using both demographic and histologic features to predict breast cancer risk in women with BBD. Our model more accurately classifies a woman's breast cancer risk after a benign biopsy than the BCRAT.

BACKGROUND Based on its cytologic features, and its co‐occurrence with atypical hyperplasia and breast cancer, flat epithelial atypia (FEA) has been proposed as a precursor lesion on the pathway to the development of breast cancer. It is often referred to as an “atypical” or high‐risk lesion. However, to the authors' knowledge, the long‐term risk of breast cancer in women with FEA is undefined. METHODS Specimens with FEA were identified among excisional breast biopsies in the Mayo Clinic Benign Breast Disease Cohort, which includes 11,591 women who had benign biopsy findings at the Mayo Clinic in Rochester, Minnesota between 1967 and 2001. Breast cancer risk among subsets of patients with FEA and nonproliferative, proliferative, and atypical hyperplasia (AH) was assessed using standardized incidence ratios (SIRs) compared with the Iowa Surveillance, Epidemiology, and End Results registry. RESULTS FEA was identified in 282 women (2.4%); 130 had associated AH (46%) and 152 (54%) were classified as having proliferative disease without atypia (PDWA). With median follow‐up of 16.8 years, the SIR for breast cancer in patients with AH plus FEA was 4.74 (95% confidence interval [95% CI], 3.17‐6.81) versus 4.23 (95% CI, 3.44‐5.13) for those with AH without FEA ( P = .59). The SIR for patients with PDWA plus FEA was 2.04 (95% CI, 1.23‐3.19) versus 1.90 (95% CI, 1.72‐2.09) for patients with PDWA without FEA ( P = .76). CONCLUSIONS FEA is an uncommon finding in women with benign breast disease. FEA does not appear to convey an independent risk of breast cancer beyond that of the associated PDWA or AH. Cancer 2015;121:1548–1555 . © 2015 American Cancer Society .

Abstract Background: Women with benign breast disease (BBD) have increased breast cancer risk, and histologic features of the lesion stratify individual risk. We hypothesized that the concentration and type of terminal duct lobular units in BBD tissue is associated with future breast cancer risk. Methods: A nested case-control series of 770 breast cancer cases and 1273 age- and year of biopsy-matched controls was identified within a cohort of 13,647 women with BBD from 1967-2001 (median follow-up 15.3 years). One representative H&E slide from each biopsy was reviewed by a single pathologist, who recorded total # of lobules present, and # of fibrocystic lobules (total and # with epithelial proliferation). Samples were also evaluated for lobular involution and primary BBD histology. Lobule density (LD) was calculated as # of lobules/cm2 in each tissue section. Breast cancer associations with LD's (total, fibrocystic, proliferative) were examined with conditional logistic regression. Odds ratios are reported per 1 SD increase in LD. Results: Each LD measure was significantly associated with involution and primary BBD histology (p<0.0001 for each). Fibrocystic (OR 1.17, 95% CI 1.06-1.28) and proliferative (OR 1.37, 95% CI 1.16-1.61) LD were each associated with case status (p≤0.001) but total LD did not reach significance (OR 1.09, 95% CI 1.0-1.20; p=0.06). LD associations were somewhat attenuated after adjusting for involution (total OR 1.04 p=0.41; fibrocystic OR 1.13 p=0.02; proliferative OR 1.28 p=0.002) and primary BBD histology (total OR 1.04 p=0.49; fibrocystic OR 1.08 p=0.15; proliferative OR 1.18 p=0.07). Conclusions: The density of proliferative lobules in benign breast biopsy tissue is related to other BBD histologic features but may provide additional breast cancer risk stratification among women with proliferative BBD. Additional research will more fully evaluate the ability of this promising novel measure to predict breast cancer risk. Lobule Density Measures (lobules per square cm) All values are Medians Total Lobule Density Fibrocystic Lobule Density Proliferative Lobule Density Overall 17.5 4.5 0.7 Cases 18.1 4.9 1.3 Controls 17.0 4.2 0.4 Primary BBD Histology Nonproliferative disease 16 3.3 0 Proliferative disease 18.6 5.8 2.7 Atypical hyperplasia 20.9 6.2 3.3 Involution Category None 28.7 5.3 1.0 Partial 19.0 5 1.2 Complete 8.5 2.1 0 Citation Format: Amy C. Degnim, Lynn C. Hartmann, Tanya L. Hoskin, Marlene H. Frost, V Shane Pankratz, Derek C. Radisky, Lorelle L. Benetti, Celine M. Vachon, Teresa M. Allers, Robert A. Vierkant, Daniel W. Visscher. Density of breast lobules in benign breast tissue and association with future breast cancer risk. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 155. doi:10.1158/1538-7445.AM2013-155

Abstract Background: Optimal early detection and prevention strategies for breast cancer are predicated on our ability to accurately identify women at increased risk for disease. Current breast cancer risk prediction models rely on clinical and epidemiologic features. As demonstrated with other cancers, such as those of the cervix and colon, cancer risk assessment is enhanced when the tissue at risk is examined for evidence of premalignant abnormalities. Here, we present a multivariate model for individualized breast cancer risk prediction that incorporates tissue features identified from biopsies from women with benign breast disease (BBD). Methods: We used our cohort of more than 9000 women diagnosed with BBD at the Mayo Clinic from 1967–1991, and identified a nested case:control series of 377 women who developed cancer (cases) matched with 734 women who did not (controls). We identified a set of variables that either alone or in two-way interactions contributed to a multivariable risk prediction model. We combined this relative risk model with the baseline incidence of breast cancer and the baseline hazard of death from our full BBD cohort to develop a risk prediction tool that computes absolute risk estimates for breast cancer. We calculated 5-year risk predictions for these cases and controls using our model and using the Gail model and compared c-statistics from these risk predictions. We validated our model using an independent set of 378 breast cancer cases and 728 matched controls drawn from our BBD cohort. Results: Cases and controls in the model development data set differed significantly on a number of features when examined individually. Those included in a multivariable relative risk model for breast cancer among women with BBD are shown below. After including interactions between lobular involution, and histologic impression, with age at first live birth/number of children, and degree of involution with sclerosing adenosis, we devised a model that predicts the absolute risk of breast cancer. Predicted five-year risks in the model development series, we observed a c-statistic of 0.66, higher than the c-statistic of 0.61 for the Gail model. With risk prediction estimates from our validation series of cases and matched controls, the c-statistic of our model decreased to 0.59 and the c-statistic for the Gail model was 0.55. Conclusion: We have identified an initial risk prediction model for breast cancer in women with BBD. The identified model includes basic demographic information as well as a number of histologic features of the tissue samples. Its initial performance is promising, providing improved discrimination over the Gail model in our replication data set. Further work is needed to identify features which might provide additional predictive information for breast cancer risk. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P4-12-03.

Abstract Atypical hyperplasia is a high-risk premalignant lesion of the breast, but its biology is poorly understood. Many believe that atypical ductal hyperplasia (ADH) is a direct precursor for low-grade ductal breast cancer, whereas atypical lobular hyperplasia (ALH) serves as a risk indicator. These assumptions underlie current clinical recommendations. We tested these assumptions by studying the characteristics of the breast cancers that develop in women with ADH or ALH. Using the Mayo Benign Breast Disease Cohort, we identified all women with ADH or ALH from 1967 to 2001 and followed them for later breast cancers, characterizing side of breast cancer versus side of atypia; time to breast cancer; type, histology, and grade of breast cancer, looking for patterns consistent with precursors versus risk indicators. A total of 698 women with atypical hyperplasia were followed a mean of 12.5 years; 143 developed breast cancer. For both ADH and ALH, there is a 2:1 ratio of ipsilateral to contralateral breast cancer. The ipsilateral predominance is marked in the first 5 years, consistent with a precursor phenotype for both ADH and ALH. For both, there is a predominance of invasive ductal cancers with 69% of moderate or high grade. Twenty-five percent are node positive. Both ADH and ALH portend risk for ductal carcinoma in situ and invasive breast cancers, predominantly ductal, with two thirds moderate or high grade. The ipsilateral breast is at especially high risk for breast cancer in the first 5 years after atypia, with risk remaining elevated in both breasts long term. ADH and ALH behave similarly in terms of later breast cancer endpoints. Cancer Prev Res; 7(2); 211–7. ©2014 AACR.

AbstractObjectiveThe aim of this randomized controlled trial for patients with advanced cancer receiving radiation therapy was to determine the effect of a multidisciplinary intervention on spiritual quality of life (QOL) at the end of the intervention (week 4) and at two follow‐up time points (weeks 26 and 52).MethodsOne hundred thirty‐one persons were randomized to either the intervention or control (forms only) groups. The intervention included six 90‐min in‐person sessions based on the physical, emotion, social, and spiritual domains of QOL. Three sessions included the spiritual component. Caregivers were present for four sessions, one which included a spiritual component. Ten follow‐up phone calls were made to the patients in the intervention group during the 6‐month follow‐up period. Patients completed the Functional Assessment of Cancer Therapy: General Scale, the Linear Analog Self‐Assessment which includes an assessment of spiritual QOL, and the Functional Assessment of Chronic Illness Therapy‐Spiritual Well‐Being (FACIT‐Sp) at enrollment, and weeks 4, 27, and 52.ResultsFollowing the intervention, the intervention group demonstrated improved spiritual QOL on the FACIT‐Sp, whereas the spiritual QOL of the control group decreased, resulting in significant mean changes between groups (total score: 1.7 vs. −2.9; p < 0.01; meaning/peace subscale: 1.0 vs. −3.5; p < 0.01; faith subscale: 3.1 vs. −1.7; p = 0.04).ConclusionsThe results indicate that a multidisciplinary intervention which includes a spiritual component can maintain the spiritual QOL of patients with advanced cancer during radiation therapy. Copyright © 2013 John Wiley & Sons, Ltd.

Fatigue is the problematic symptom identified by patients with cancer. However, fatigue has not been widely examined in caregivers of patients with cancer. In this study, 131 caregivers of patients diagnosed with advanced stage cancer and actively receiving radiotherapy reported experiencing the most difficulties with fatigue (mean 46.9; on a 0-100 scale, with a 10-point difference having clinical meaning) at baseline and at a 6-month follow-up (mean 48.3). This is in sharp contrast to other domains of quality of life and functioning being rated in the 60s, 70s and 80s by the caregivers of patients with cancer. Given the level of fatigue reported by the caregivers of patients with cancer, if confirmed by other investigators in larger and more diverse samples, interventions targeting caregiver fatigue should be explored.

Abstract Benign breast disease (BBD) is an established risk factor for breast cancer among Caucasian women but less is known about BBD in African American women. As African American women suffer from disproportionate mortality due to breast cancer, special focus on pathologic characteristics that may influence disease risk is warranted. Benign breast biopsies from African American women were identified by the University Pathology Group (Detroit, MI). African American women of ages 20 to 84 years, who underwent a breast biopsy from 1997 to 2000, were eligible for the study. Subsequent breast cancers were identified through a linkage with the Detroit Surveillance Epidemiology and End Results (SEER) program. The first biopsy was reviewed by the pathologist, and lesions were classified following Dupont and Page criteria along with involution and other histologic features. Logistic regression was used to estimate the risk of developing a subsequent breast cancer with the histologic characteristics of BBD. A total of 1,406 BBD biopsies from African American women were included in this study with a median follow-up of 10.1 years. The majority (68%) showed nonproliferative disease, 29% had proliferative disease without atypia, and 3% had proliferative disease with atypia. Subsequent incident breast cancers occurred in 55 women (3.9%). Women whose biopsies showed proliferative disease with atypia were more than three-fold more likely to develop breast cancer as compared with women who had nonproliferative disease [relative risk (RR) 3.29, 95% confidence interval (CI) 1.21–8.93]. Better characterization of the risk of breast cancer among women with BBD, considering both ethnicity and detailed molecular findings, can lead to better surveillance, earlier diagnosis, and potentially improved survival. Cancer Prev Res; 5(12); 1375–80. ©2012 AACR.