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In 2018, following an EU-wide safety review, a revised pregnancy prevention programme (PPP) was introduced for isotretinoin (Roaccutane®). This study aimed to examine awareness, knowledge, and experience implementing the revised isotretinoin PPP in clinical practice across three healthcare professional (HCP) groups in Ireland.A cross-sectional study using anonymous online surveys among general practitioners (GPs), community pharmacists, and specialist consultants was undertaken. Descriptive analyses are presented.Across all HCP groups there was high (≥87%) awareness that oral isotretinoin is contraindicated in women of childbearing potential (WCBP) unless the conditions of the PPP are fulfilled, but varying awareness among GPs (54.9%) and community pharmacists (45.9%) that exposure during pregnancy can cause both severe fetal malformations and spontaneous abortions. Implementation of the PPP in clinical practice varied across HCP groups. When initiating isotretinoin in WCBP, 66.7% of specialists and 40.8% of GPs indicated they had considered alternative treatment options, and 71.4% of specialists and 31.6% of GPs reported they first requested a pregnancy test. There was limited provision of the patient reminder card to WCBP, where 26.1% of community pharmacists provide this at each dispensing, while 47.6% of specialists and 11.8% of GPs ensured WCBP had a copy of the card when initiating treatment. Across all HCP groups, there was high (≥81.6%) awareness of the need for urgent consultation and immediate cessation of isotretinoin in the event of an unplanned or suspected pregnancy.Reinforcement of the provision and utilisation of the isotretinoin patient reminder card may be required, and further targeted education on specific elements of the PPP should be considered for GPs and community pharmacists.

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Delayed terminal duct lobular unit (TDLU) involution is associated with elevated mammographic breast density (MD). Both are independent breast cancer risk factors among women with benign breast disease (BBD). Prior digital analyses of normal breast tissues revealed that epithelial nuclear density (END) and TDLU involution are inversely correlated. Accordingly, we examined associations of END, TDLU involution, and MD in BBD clinical biopsies. This study included digitized images of 262 representative image-guided hematoxylin and eosin–stained biopsies from 224 women diagnosed with BBD, enrolled within the cross-sectional BREAST-Stamp project that were visually assessed for TDLU involution (TDLU count/100 mm2, median TDLU span and median acini count per TDLU). A digital algorithm estimated nuclei count per unit epithelial area, or END. Single X-ray absorptiometry of prebiopsy ipsilateral craniocaudal digital mammograms measured global and localized MD surrounding the biopsy region. Adjusted ordinal logistic regression models assessed relationships between tertiles of TDLU and END measures. Analysis of covariance examined mean differences in MD across END tertiles. TDLU measures were positively associated with increasing END tertiles [TDLU count/100 mm2, ORT3vsT1: 3.42, 95% confidence interval (CI), 1.87–6.28; acini count/TDLUT3vsT1, OR: 2.40, 95% CI, 1.39–4.15]. END was significantly associated with localized, but not, global MD. Relationships were most apparent among patients with nonproliferative BBD. These findings suggest that quantitative END reflects different but complementary information to the histologic information captured by visual TDLU and radiologic MD measures and merits continued evaluation in assessing cellularity of breast parenchyma to understand the etiology of BBD.

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Background Elevated mammographic breast density is a strong breast cancer risk factor with poorly understood etiology. Increased deposition of collagen, one of the main fibrous proteins present in breast stroma, has been associated with increased mammographic density. Collagen fiber architecture has been linked to poor outcomes in breast cancer. However, relationships of quantitative collagen fiber features assessed in diagnostic biopsies with mammographic density and lesion severity are not well-established. Methods Clinically indicated breast biopsies from 65 in situ or invasive breast cancer cases and 73 frequency matched-controls with a benign biopsy result were used to measure collagen fiber features (length, straightness, width, alignment, orientation and density (fibers/µm2)) using second harmonic generation microscopy in up to three regions of interest (ROIs) per biopsy: normal, benign breast disease, and cancer. Local and global mammographic density volumes were quantified in the ipsilateral breast in pre-biopsy full-field digital mammograms. Associations of fibrillar collagen features with mammographic density and severity of biopsy diagnosis were evaluated using generalized estimating equation models with an independent correlation structure to account for multiple ROIs within each biopsy section. Results Collagen fiber density was positively associated with the proportion of stroma on the biopsy slide (p p = 0.035) and within a 2 mm perilesional ring (p = 0.02), but not with global mammographic density measures. As severity of the breast biopsy diagnosis increased at the ROI level, collagen fibers tended to be less dense, shorter, straighter, thinner, and more aligned with one another (p Conclusions Collagen fiber density was positively associated with local, but not global, mammographic density, suggesting that collagen microarchitecture may not translate into macroscopic mammographic features. However, collagen fiber features may be markers of cancer risk and/or progression among women referred for biopsy based on abnormal breast imaging.

To establish awareness, knowledge, use and experience in practice of a sodium valproate pregnancy prevention program (PPP) in Ireland ("prevent") among three healthcare professional (HCP) groups.A cross-sectional study using anonymous online surveys was conducted among general practitioners (GPs), pharmacists, and specialist consultants. Descriptive analyses are presented.HCP response rates were 5.8% for GPs (90/1544), 10.7% for pharmacists (219/2052), and 7.6% for specialists (17/224). Across HCP groups, there was high awareness (90%) for specialist referral when female valproate patients are planning pregnancy, or become pregnant, but less awareness to refer annually for specialist review. While awareness of a possible teratogenic effect at any stage of pregnancy was high (80%), most GPs (62.2%, 95% CI: 51.3, 71.9%) and community pharmacists (53.1%, 95% CI: 43.2, 62.8%) were unsure of the magnitude of risk for developmental disorders, while most specialists under-estimated this risk (46.7%, 95% CI: 24.8, 69.9%). Although70% of the respondents identified valproate to be contraindicated in any woman of childbearing potential unless the conditions of the PPP are fulfilled, experience implementing key elements in practice varied.Our findings suggest continued effort is needed to ensure optimal implementation of "prevent" into clinical practice in Ireland.

Introduction: Benign breast disease (BBD) is associated with increased breast cancer risk, and the magnitude of this risk is characterized by the severity of the histological classification of the biopsy lesion. High mammographic density (MBD) is an independent risk factor for invasive breast cancer. Given that MBD is altered by endogenous and exogenous factors, its temporal changes may impact future breast cancer risk, but this is poorly studied, particularly among high risk BBD patients. In this study, we examined whether MBD changes following a BBD diagnosis were associated with subsequent breast cancer risk. Methods: We conducted a case-control study within a cohort of 15,395 women aged 18-86 years who were members of the Kaiser Permanente Northwest Region health care system, had a diagnosis of BBD between 1970 and 2012 and were followed through mid-2015. Cases (n=261) were BBD patients who developed invasive breast cancer at least one year after the index BBD diagnosis. Controls were matched (1:1), on age at BBD diagnosis and health plan membership duration and did not develop breast cancer during the follow-up duration. Standardized change in percent MBD per 2 years, categorized as an increase (≥0%), stable/minimal decrease (-5%< to Results: At BBD diagnosis (median age (range)=54.6 years (32.4, 86.6)), 64.5% (n=329: n=151 cases and n=178 controls) of women had non-proliferative and 35.5% (n=181: n=110 cases and n=71 controls) had proliferative BBD with or without atypia. Compared to women with stable/minimal MBD decrease, those who experienced a decline ≥5% per 2 years were less likely to develop breast cancer (odds ratio [OR]: 0.64; 95% confidence interval [CI]: 0.38, 1.07). However, among women aged ≥50 years at BBD diagnosis, an MBD decrease ≥5% was significantly associated with reduced breast cancer risk (OR: 0.48; 95%CI: 0.25, 0.92), with the protective effect most apparent for those with proliferative (OR: 0.32; 95%CI: 0.11, 0.99) versus non-proliferative (OR: 0.70; 95%CI: 0.30, 1.64) BBD. Discussion: Temporal MBD declines were associated with reduced risk of subsequent breast cancer particularly among BBD patients aged ≥50 years and with proliferative BBD diagnoses. These findings suggest that monitoring MBD may be useful in determining risk and that strategies to actively reduce MBD may be helpful in reducing breast cancer risk among high-risk BBD patients. Funding: Dr. Rohan is supported in part by the Breast Cancer Research Foundation (BCRF-22-140). Citation Format: Maeve Mullooly, Shaoqi Fan, Ruth M. Pfeiffer, Erin Aiello Bowles, Máire A. Duggan, Roni T. Falk, Kathryn Richert-Boe, Terry Kimes, Jonine D. Figueroa, Thomas E. Rohan, Mustapha Abubakar, Gretchen L. Gierach. Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 776.

Background Mammographic breast density (MBD) decline post-tamoxifen initiation is a favorable prognostic factor in estrogen receptor (ER)–positive breast cancer (BC) and has potential utility as a biomarker of tamoxifen response. However, the prognostic value of MBD decline may vary by molecular characteristics among ER–positive patients. Methods We investigated associations between MBD decline (≥10% vs Results MBD decline was statistically significantly associated with reduced risk of BCSM overall (OR = 0.38, 95% CI = 0.15 to 0.92). This association was, however, stronger among women with aggressive tumor characteristics including luminal B–like (OR = 0.17, 95% CI = 0.04 to 0.73) vs A–like (OR = 0.74, 95% CI = 0.19 to 2.92); large (OR = 0.26, 95% CI = 0.08 to 0.78) vs small (OR = 0.41, 95% CI = 0.04 to 3.79) tumors; PR–negative (OR = 0.02, 95% CI = 0.001 to 0.37) vs PR–positive (OR = 0.50, 95% CI = 0.18 to 1.40) disease; and high (OR = 0.25, 95% CI = 0.07 to 0.93) vs low (OR = 0.44, 95% CI = 0.10 to 2.09) mIHC3 score. Conclusion The findings support MBD decline as a prognostic marker of tamoxifen response among patients with aggressive ER–positive BC phenotypes, for whom understanding treatment effectiveness is critical.

This study aimed to examine trends in valproate use among women of childbearing potential (WCBP) aged 16-44 years in Ireland following two European-directed regulatory interventions in December 2014 and April 2018.This was a repeated cross-sectional study using monthly national pharmacy claims data, to examine trend changes in the prevalence of valproate use among WCBP pre and post two separate regulatory events in December 2014 and April 2018. Annual population estimates from the Central Statistics Office were used to calculate the prevalence rate per 1000 eligible women. Segmented regression analysis of interrupted time series with negative binomial regression was used to examine rates for WCBP aged 16-44 years, and by 10-year age groups. Prevalence ratios (PR) are presented with 95% confidence intervals (CIs).Among WCBP aged 16-44 years, there was no statistically significant change in the month-to-month prevalence ratio in the post- compared to pre-December 2014 intervention period. A significant decline was, however, observed in the post-, compared to pre-April 2018 intervention period (PR = 0.998, [95% CIs: 0.996, 1.000]; p = 0.029). Among those aged 16-24 years, a significant decreasing trend in the month-to-month prevalence ratio was found in the post- compared to pre-December 2014 intervention period (PR = 0.991, [95% CIs: 0.984, 0.998];p 0.01). A marginal effect was observed in the post- compared to pre-April 2018 intervention period for those aged 25-34 years (PR = 0.996, [95% CIs: 0.992, 1.000]; p = 0.048).Although no evidence of change was observed following the December 2014 intervention period, a significant decline in the prevalence ratio of valproate use was observed after the 2018 intervention, which may reflect the introduction of the most recent contraindication measures.

Delayed terminal duct lobular unit (TDLU) involution is associated with elevated mammographic breast density (MD). Both are independent breast cancer risk factors among women with benign breast disease (BBD). Prior digital analyses of normal breast tissues revealed that epithelial nuclear density (END) and TDLU involution are inversely correlated. Accordingly, we examined associations of END, TDLU involution, and MD in BBD clinical biopsies. This study included digitized images of 262 representative image-guided hematoxylin and eosin–stained biopsies from 224 women diagnosed with BBD, enrolled within the cross-sectional BREAST-Stamp project that were visually assessed for TDLU involution (TDLU count/100 mm2, median TDLU span and median acini count per TDLU). A digital algorithm estimated nuclei count per unit epithelial area, or END. Single X-ray absorptiometry of prebiopsy ipsilateral craniocaudal digital mammograms measured global and localized MD surrounding the biopsy region. Adjusted ordinal logistic regression models assessed relationships between tertiles of TDLU and END measures. Analysis of covariance examined mean differences in MD across END tertiles. TDLU measures were positively associated with increasing END tertiles [TDLU count/100 mm2, ORT3vsT1: 3.42, 95% confidence interval (CI), 1.87–6.28; acini count/TDLUT3vsT1, OR: 2.40, 95% CI, 1.39–4.15]. END was significantly associated with localized, but not, global MD. Relationships were most apparent among patients with nonproliferative BBD. These findings suggest that quantitative END reflects different but complementary information to the histologic information captured by visual TDLU and radiologic MD measures and merits continued evaluation in assessing cellularity of breast parenchyma to understand the etiology of BBD.

Background To date, over 2 million people worldwide have died with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. To describe the experience in Ireland, this study examined associations between underlying conditions and the following outcomes: mortality, admission to hospital or admission to the intensive care unit (ICU) among those infected with COVID-19. Methods This study used data from the Health Protection Surveillance Centre in Ireland and included confirmed cases of COVID-19 from the first wave of the pandemic between March and July 2020. Two cohorts were included: all cases (community and hospital) and hospital admissions only. For all cases, health outcome data included mortality and hospitalisation. For hospitalised cases, outcome data included mortality and ICU admission. Logistic regression was used to examine associations between underlying conditions and outcomes across both cohorts. Results are presented as adjusted odds ratios (OR) and 95% confidence intervals (CIs). Findings There were 19,789 cases included in analysis, which encompassed 1,476 (7.5%) deaths, 2,811 (14.2%) hospitalisations, and 438 (2.2%) ICU admissions of whom 90 (20.5%) died. Significantly higher risk of mortality, hospitalisation and ICU admission was associated with having chronic heart disease, a BMI ≥40kg/m2 and male sex. Additionally, diagnosis of a chronic neurological condition (OR 1.41; 95%CI:1.17, 1.69), chronic kidney disease (OR 1.74; 95%CI:1.35, 2.24) and cancer (OR 2.77; 95%CI:2.21, 3.47) were significantly associated with higher risk of mortality among all cases, with similar patterns of association observed for mortality among hospitalised cases. Interpretation The identification of underlying conditions among COVID-19 cases may help identify those at highest risk of the worst health outcomes and inform preventive strategies to improve outcomes. Funding This study was supported by the Health Service Executive, Health Protection Surveillance Centre. KEB and MM are funded by the Health Research Board (RL-15-1579 and EIA-2019-012 respectively).

Background Mammographic density (MD) is a strong breast cancer risk factor that reflects fibroglandular and adipose tissue composition, but its biologic underpinnings are poorly understood. Insulin-like growth factor binding proteins (IGFBPs) are markers that may be associated with MD given their hypothesized role in breast carcinogenesis. IGFBPs sequester IGF-I, limiting its bioavailability. Prior studies have found positive associations between circulating IGF-I and the IGF-I:IGFBP-3 ratio and breast cancer risk. We evaluated the associations of IGF-I, IGFBP-3, and six other IGFBPs with MD. Methods Serum IGF measures were quantified in 296 women, ages 40–65, undergoing diagnostic image-guided breast biopsy. Volumetric density measures (MD-V) were assessed in pre-biopsy digital mammograms using single X-ray absorptiometry. Area density measures (MD-A) were estimated by computer-assisted thresholding software. Age, body mass index (BMI), and BMI2-adjusted linear regression models were used to examine associations of serum IGF measures with MD. Effect modification by BMI was also assessed. Results IGF-I and IGFBP-3 were not strongly associated with MD after BMI adjustment. In multivariable analyses among premenopausal women, IGFBP-2 was positively associated with both percent MD-V (β = 1.49, p value = 0.02) and MD-A (β = 1.55, p value = 0.05). Among postmenopausal women, positive relationships between IGFBP-2 and percent MD-V (β = 2.04, p = 0.003) were observed; the positive associations between IGFBP-2 and percent MD-V were stronger among lean women (BMI

The breast stromal microenvironment is a pivotal factor in breast cancer development, growth and metastases. Although pathologists often detect morphologic changes in stroma by light microscopy, visual classification of such changes is subjective and non-quantitative, limiting its diagnostic utility. To gain insights into stromal changes associated with breast cancer, we applied automated machine learning techniques to digital images of 2387 hematoxylin and eosin stained tissue sections of benign and malignant image-guided breast biopsies performed to investigate mammographic abnormalities among 882 patients, ages 40–65 years, that were enrolled in the Breast Radiology Evaluation and Study of Tissues (BREAST) Stamp Project. Using deep convolutional neural networks, we trained an algorithm to discriminate between stroma surrounding invasive cancer and stroma from benign biopsies. In test sets (928 whole-slide images from 330 patients), this algorithm could distinguish biopsies diagnosed as invasive cancer from benign biopsies solely based on the stromal characteristics (area under the receiver operator characteristics curve = 0.962). Furthermore, without being trained specifically using ductal carcinoma in situ as an outcome, the algorithm detected tumor-associated stroma in greater amounts and at larger distances from grade 3 versus grade 1 ductal carcinoma in situ. Collectively, these results suggest that algorithms based on deep convolutional neural networks that evaluate only stroma may prove useful to classify breast biopsies and aid in understanding and evaluating the biology of breast lesions.

INTRODUCTION: Benign breast disease (BBD) describes a heterogeneous group of premalignant lesions associated with an increased risk of breast cancer development, especially in those with proliferative BBD with atypia. Whether BBD is associated with higher all-cause mortality is unsettled. Therefore, we examined the association between incident BBD, BBD histotypes and all-cause and breast cancer-specific mortality among WHI participants. METHODS: Included were 68,132 postmenopausal women enrolled in the WHI clinical trials from 1993-1998 at 40 US clinical centres, followed up through March 2019. In these trials, serial mammography was mandated and compliance was high. Cases were participants in the BBD ancillary study (AS)130 with incident BBD confirmed by central pathology review. The comparison group included all other clinical trial participants (intervention and control groups). Cox proportional hazard regression models, stratified by baseline age, clinical trial arms and WHI extension study participation, were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) for all-cause and breast cancer-specific mortality in association with BBD. Analyses were adjusted for age, race/ethnicity, education, income, smoking, BMI, waist circumference, energy intake, alcohol, physical activity, reproductive factors, family history of breast cancer, Gail model score, history of menopausal hormone therapy (MHT) use and history of comorbidities. RESULTS: Compared to women without incident BBD (n=43,439), women with incident BBD (n=3,467) were younger (p1.75 (p CONCLUSIONS: In postmenopausal women, while a BBD diagnosis was associated with a statistically significant higher risk of breast cancer-specific mortality, irrespective of histotype, a BBD diagnosis was not associated with higher all-cause mortality. Citation Format: Maeve Mullooly, Kathy Pan, Sowmya Vasan, Gretchen L. Gierach, Dorothy S. Lane, Aladdin H. Shadyab, Juhua Luo, Lihong Qi, Kathleen E. Bennett, Thomas E. Rohan, Rowan Chlebowski. Benign breast disease and all-cause and breast cancer-specific mortality among postmenopausal women in the Women's Health Initiative [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 789.

Mammographic breast density (MD) reflects breast fibroglandular content. Its decline following adjuvant tamoxifen treated, estrogen receptor (ER)-positive breast cancer has been associated with improved outcomes. Breast cancers arise from structures termed lobules, and lower MD is associated with increased age-related lobule involution. We assessed whether pre-treatment involution influenced associations between MD decline and risk of breast cancer-specific death. ER-positive tamoxifen treated patients diagnosed at Kaiser Permanente Northwest (1990−2008) were defined as cases who died of breast cancer (n = 54) and matched controls (remained alive over similar follow-up; n = 180). Lobule involution was assessed by examining terminal duct lobular units (TDLUs) in benign tissues surrounding cancers as TDLU count/mm2, median span and acini count/TDLU. MD (%) was measured in the unaffected breast at baseline (median 6-months before) and follow-up (median 12-months after tamoxifen initiation). TDLU measures and baseline MD were positively associated among controls (p < 0.05). In multivariable regression models, MD decline (≥10%) was associated with reduced risk of breast cancer-specific death before (odds ratio (OR): 0.41, 95% CI: 0.18−0.92) and after (OR: 0.41, 95% CI: 0.18−0.94) adjustment for TDLU count/mm2, TDLU span (OR: 0.34, 95% CI: 0.14−0.84), and acini count/TDLU (OR: 0.33, 95% CI: 0.13−0.81). MD decline following adjuvant tamoxifen is associated with reduced risk of breast cancer-specific death, irrespective of pre-treatment lobule involution.

Tamoxifen decreases mammographic density. Whether compliance affects this relationship is unclear as is the relationship between other types of adjuvant treatment and changes in mammographic density.This prospective cohort study included 2490 women diagnosed with breast cancer during 2001-2015 in Sweden. Mammographic density was assessed within 3 months of diagnosis and 6-36 months post diagnosis. Logistic regression was performed to study the association between each respective adjuvant treatment and mammographic density reduction (annual dense area decrease15%).Intention-to-treat analyses using treatment information from the regional cancer registries showed that tamoxifen-treated patients more frequently experienced mammographic density reductions compared with nontreated patients (odds ratio [OR] = 1.58, 95% confidence interval [CI] = 1.25 to 1.99), as did chemotherapy-treated patients (OR = 1.28, 95% CI = 1.06 to 1.54). For chemotherapy, the association was mainly seen in premenopausal women. Neither aromatase inhibitors nor radiotherapy was associated with density change. Tamoxifen use based on prescription and dispensation data from the Swedish Prescribed Drug Register showed that users were more likely to have density reductions compared with nonusers (adjusted OR = 2.24, 95% CI = 1.40 to 3.59). Moreover, among tamoxifen users, tamoxifen continuers were more likely than discontinuers to experience density reductions (adjusted OR = 1.50, 95% CI = 1.04 to 2.17).Our results indicate that adherence influences the association between tamoxifen and mammographic density reduction. We further found that chemotherapy was associated with density reductions and propose that this is largely secondary to chemotherapy-induced ovarian failure.

Breast density, a breast cancer risk factor, is a radiologic feature that reflects fibroglandular tissue content relative to breast area or volume. Its histology is incompletely characterized. Here we use deep learning approaches to identify histologic correlates in radiologically-guided biopsies that may underlie breast density and distinguish cancer among women with elevated and low density. We evaluated hematoxylin and eosin (H&E)-stained digitized images from image-guided breast biopsies (n = 852 patients). Breast density was assessed as global and localized fibroglandular volume (%). A convolutional neural network characterized H&E composition. In total 37 features were extracted from the network output, describing tissue quantities and morphological structure. A random forest regression model was trained to identify correlates most predictive of fibroglandular volume (n = 588). Correlations between predicted and radiologically quantified fibroglandular volume were assessed in 264 independent patients. A second random forest classifier was trained to predict diagnosis (invasive vs. benign); performance was assessed using area under receiver-operating characteristics curves (AUC). Using extracted features, regression models predicted global (r = 0.94) and localized (r = 0.93) fibroglandular volume, with fat and non-fatty stromal content representing the strongest correlates, followed by epithelial organization rather than quantity. For predicting cancer among high and low fibroglandular volume, the classifier achieved AUCs of 0.92 and 0.84, respectively, with epithelial organizational features ranking most important. These results suggest non-fatty stroma, fat tissue quantities and epithelial region organization predict fibroglandular volume. The model holds promise for identifying histological correlates of cancer risk in patients with high and low density and warrants further evaluation.

Introduction Interval breast cancers occur following a negative breast screening mammogram and before the next scheduled appointment within screening programmes. Radiological review classifies them as cancers that develop between screens, cancers with no obvious malignant abnormalities on prior screens or cancers not detected at screening. This study aimed to systematically review published literature on the occurrence of open disclosure following interval cancer radiological reviews by breast screening programmes internationally in a retrospective setting and examine methodologies used for radiological reviews for the purposes of disclosure. Methods A search for relevant articles published (January 2000 – May 2019) was conducted according to PICO and PRISMA guidelines. The databases Pubmed, Scopus, Google Scholar, Cinahl, Web of Science, Embase, Science Direct and Global Health were searched. Relevant studies were reviewed if they had completed a retrospective review and classification of interval breast cancers. Results Of 46 relevant articles included, no study was identified that conducted a retrospective review purposely for open disclosure. Retrospective reviews were conducted for audit/quality assurance, and research including for radiologist education and learning. Variation in methodology was found across review type (non-blinded/semi-informed approach), number of reviewers and classification categories. The proportion of false negative cancers classified among the studies ranged from 4 to 40 %. Discussion Variation among radiological review practices were observed, which likely impacts classification results. To ensure standardised classification of interval breast cancers are employed for the purposes of open disclosure in screening settings, reproducible and consistent methodology is required.

Background: The increasing incidence of estrogen receptor (ER)-positive breast cancer in the U.S. in concert with the aging population and improved survival have resulted in an increased number of women at risk of developing a second contralateral primary breast cancer. Results from randomized clinical trials have suggested a reduced risk of contralateral breast cancer among women taking tamoxifen or aromatase inhibitors. However, little is known about the duration of beneficial effects of endocrine therapy within the context of real life treatment scenarios, where gaps in treatment and varying durations of use may influence risk. Methods: We assessed contralateral breast cancer risk associated with adjuvant tamoxifen treatment among a cohort of 7,541 women, ages 24-85 years, who were members of Kaiser Permanente (KP) Northwest or Colorado, and were diagnosed with invasive breast cancer between 1990 and 2008 and remained at risk of contralateral breast cancer for at least one year. We also assessed risk in relation to aromatase inhibitor use, though statistical power was somewhat limited due to the relatively recent introduction of aromatase inhibitors in this older cohort. Use of tamoxifen, aromatase inhibitors and other treatments was ascertained from KP prescription and medical records. Relative risks (RR) and 95% confidence intervals (CI) were estimated using multivariable Poisson regression adjusting for study site, age at and year of diagnosis, stage at diagnosis, ER status, chemotherapy, and radiotherapy. Results: Over a median (range) of 6.3 (1.0-20.9) years of follow-up, 248 women developed contralateral breast cancer. Among patients surviving at least five years (n=4,668), 58% were prescribed tamoxifen with a median (range) duration of use of 4.2 (0.25-16.2) years. In models evaluating joint effects of tamoxifen duration and time since last use, we observed a statistically significant reduced risk of contralateral breast cancer among current tamoxifen users (RR=0.47, 95% CI: 0.30, 0.74) and among former users with 4+ years of tamoxifen (RR=0.39, 95% CI: 0.24, 0.63) as compared with women not treated with tamoxifen. Former users with 1-4 years of tamoxifen demonstrated a suggestive reduction in risk (RR=0.71, 95% CI: 0.45, 1.10), but there was no evidence of risk reduction for former users with Conclusions: Adjuvant tamoxifen and aromatase inhibitor therapy considerably reduce the risk of contralateral breast cancer. Furthermore, our data suggest that tamoxifen protects against contralateral breast cancer while women are being treated and that the protective effect appears to continue after cessation with longer durations of use. Citation Format: Gierach GL, Curtis RE, Pfeiffer RM, Mullooly M, Hoover RN, Nyante SJ, Feigelson HS, Glass AG, Berrington de Gonzalez A. Adjuvant endocrine therapy and risk of contralateral breast cancer among a cohort of U.S. women with breast cancer. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P5-12-01.

Introduction: The etiology of breast cancer remains an area of ongoing investigation. Improving our understanding of factors associated with breast cancer development will strengthen the utility of risk prediction strategies and improve risk stratification. Mammographic breast density remains one of the most influential breast cancer risk factors, with 4 to 6 fold elevated risk observed among women with the highest compared to the lowest levels. These associations have consistently been observed irrespective of the method (visual or automated), used to quantify breast density, showing the robustness of the associations. An understudied breast cancer risk factor is the bilateral asymmetry of mammographic features, with prior studies suggesting that women with higher levels of breast asymmetry may be at elevated breast cancer risk. Increasingly, studies are recognizing the potential of bilateral breast asymmetry defined by mammographic breast density in determining breast cancer risk. Recently, Eriksson and colleagues highlighted a strong influence of breast asymmetry within a model they developed to predict short-term breast cancer risk among women attending breast screening. They observed that the contribution to the model of asymmetry in mammographic breast density, microcalcifications, and masses between the breasts was as substantial as the total number of microcalcifications and masses found within a mammogram, indicating that differences between the breasts may be an important risk marker. To help further understand associations between breast cancer risk factors and asymmetry of breast density, particularly among women at elevated risk for breast cancer, we evaluated risk factor relationships with the bilateral asymmetry of volumetric measures of global and local breast density across the spectrum of premalignant and invasive breast cancer diagnoses. Methods: This study included 882 women enrolled as part of the National Cancer Institute's Breast Radiology Evaluation and Study of Tissues (BREAST)-Stamp Project (2007-2010). The BREAST-Stamp Project is a cross-sectional molecular epidemiologic study that aims to understand how novel breast density measures are related to breast cancer etiology. Women were enrolled if they were referred for diagnostic image-guided breast biopsy following an abnormal mammogram at the University of Vermont Medical Center, and had not previously been diagnosed or treated for cancer, undergone breast surgery within one year or received chemoprevention. Risk factor data were collected at study enrolment via interview and self-administered questionnaires. Breast density measures were estimated using Single X-ray Absorptiometry (SXA), a technique in which an SXA breast density phantom was affixed to the compression paddle of the mammography machine during routine mammography so that it was included in the X-ray field. It served as a reference standard to estimate volumetric breast density. Breast density was assessed using pre-biopsy craniocaudal full-field digital mammograms of both the ipsilateral (affected) and contralateral (unaffected) breast. Firstly, global density from each laterality was determined as percent fibroglandular volume (%FGV). Secondly, localized volumetric density measures were estimated following identification of the biopsy site on the ipsilateral pre-biopsy mammogram by the study radiologist and identifying the corresponding site on the contralateral mammogram. The SXA estimated %FGV in a perilesional volume twice the size of, but excluding, the biopsy target, centered at the biopsy site. Previous estimates of reproducibility for the SXA test phantoms demonstrated a repeatability SD of 2%, with a ±2% accuracy for the entire thickness and density ranges. Breast density asymmetry was defined as an absolute bilateral difference in measures when subtracting the breast density measures of the contralateral breast from the ipsilateral measures. Spearman's correlations (rho) examined associations between breast density measures of the left and right breasts. To determine relationships between breast cancer risk factors (defined as categorical variables) and measures of bilateral breast density asymmetry, analysis of covariance (ANCOVA) models (PROC GLM) were used. Analyses were conducted at the per woman level using SAS. Probability values of Citation Format: Maeve Mullooly, Shaoqi Fan, Ruth M. Pfeiffer, Brian Sprague, Pamela M. Vacek, Donald L. Weaver, John A. Shepherd, Amir Pasha Mahmoudzadeh, Jeff Wang, Serghei Malkov, Jason M. Johnson, Sally D. Herschorn, Gretchen L. Gierach. Investigation of relationships between breast cancer risk factors and bilateral mammographic breast density asymmetry among women undergoing diagnostic image-guided breast biopsies [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr NG15.

Background: Tamoxifen therapy has been shown to have greater therapeutic benefit among women whose breast density declines subsequent to treatment than among women whose density does not decline. Although limited data suggests that endocrine symptoms after tamoxifen initiation may be associated with improved breast cancer outcomes, it is unknown whether these symptoms are associated with reductions in breast density. We therefore evaluated endocrine symptoms and change in breast density in a 12-month longitudinal study of women undergoing tamoxifen therapy for clinical indications. Methods: Cohort members (N=74) were aged 30-74 years in the Ultrasound Study of Tamoxifen at Karmanos Cancer Institute and Henry Ford Health Systems (Detroit, MI). Endocrine symptoms and breast density were both assessed prior to tamoxifen initiation (T0) and at 1-3 months (T1), 4-6 months (T2), and approximately 12 months (T3) post-tamoxifen initiation. Treatment-associated endocrine symptoms included treatment-emergent or increasing vasomotor and/or joint symptoms. Endocrine symptom severity was also assessed with a Likert scale for symptom frequency and categorized as no symptoms (score=0), low/moderate symptoms (score=1-5), and high symptoms (score=6+). Sound speed (m/s), a surrogate of volumetric breast density, was measured with whole breast ultrasound tomography. Change in breast density was calculated as density at T1-T3 minus density at T0. We used multivariable linear regression to estimate mean change in density by endocrine symptoms adjusting for age, race, menopausal status, body mass index, and baseline sound speed. Generalized estimating equations were used to account for within-subject correlations over time. Results: Women with treatment-associated endocrine symptoms had an overall greater mean reduction in breast density compared with women without symptoms (mean change [95% CI]: -1.97 m/s [-3.80, -0.13]; -0.27 m/s [- 3.50, 2.95], respectively; p=0.22). Longitudinal trends in breast density significantly differed for women with versus without treatment-associated endocrine symptoms (p-interaction=0.02). Significant declines in breast density over time were observed among women with treatment-associated endocrine symptoms (p-trend=0.005), but not among women without symptoms (p-trend=0.16). Similar trends in breast density decline were observed among women with higher symptom severity (p-trends for no symptoms=0.53; low/moderate symptoms=0.04; high symptoms=0.008). Conclusions: These findings suggest that treatment-associated endocrine symptoms may be associated with a significant decline in breast density after tamoxifen initiation. Further studies are needed to assess whether these observations can predict clinical outcome, and if confirmed, both treatment-associated endocrine symptoms and observed reductions in breast density may be useful for patients and providers to improve adherence. Citation Format: Cody Ramin, Ruth Pfeiffer, Shaoqi Fan, Maeve Mullooly, Roni T. Falk, Mark A. Sak, Michael S. Simon, David H. Gorski, Haythem Ali, Peter Littrup, Nebojsa Duric, Mark E. Sherman, Gretchen L. Gierach. Treatment-associated endocrine symptoms and change in ultrasound tomography measures of breast density after tamoxifen therapy [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5805.

Introduction Elevated mammographic density (MD) is a strong and independent risk factor for breast cancer, though underlying mechanisms are unclear. Prior studies have suggested that increased cumulative exposure to sex-steroid hormones and growth factors may impact both MD and MD-related breast cancer risk; however, most studies have only evaluated individual hormones. In this study, we simultaneously explored the relationship between 29 circulating hormones and growth factors with MD among postmenopausal women undergoing diagnostic breast biopsy. Methods We used data from 89 postmenopausal women, aged 44-65, who had complete measurements of 29 serum hormones from a single pre-biopsy blood draw (i.e., sex-steroid hormones: 15 estrogen/estrogen metabolites, 7 progesterone/progesterone metabolites; and non-sex hormones: insulin-like growth factor I and binding proteins (IGFBPs) 2-7). Volumetric MD (% fibroglandular volume) was assessed in pre-biopsy digital mammograms using single X-ray absorptiometry. Sufficient dimension reduction methods were used to compute a composite marker score that accommodates correlations among hormones and their relationship to MD. Backward elimination was applied to select log-transformed hormones contributing to the score at α=0.05; multivariable linear regression was used to further examine associations between selected hormones and MD within a single model, adjusting for age and BMI. Results Pearson correlations between hormones were moderate-to-strong. Dimension reduction methods identified 6 hormones as associated with MD (pmedian vs. ≤median); BMI was consistently identified as the most significant predictor of MD (P Conclusions We identified 6 out of 29 correlated hormones that were significantly associated with MD among postmenopausal women. For several, the directions of their associations with MD were comparable to those observed in prior studies that have separately evaluated these hormones in relation to breast cancer risk. We plan to further explore how circulating hormones concurrently affect MD in premenopausal women, accounting for menstrual cycle phase. Incorporation of dimension reduction methods in studies of multiple correlated hormones can help uncover new etiologic insights into the role of hormones and growth factors in MD and breast carcinogenesis and inform strategies for prevention. Citation Format: Shaoqi Fan, Ruth M. Pfeiffer, Manila Hada, Roni T. Falk, Maeve Mullooly, Hannah Oh, Berta Geller, Pamela Vacek, Donald Weave, John Shepherd, Jeff Wang, Sally Herschorn, Louise A. Brinton, Xia Xu, Mark E. Sherman, Britton Trabert, Gretchen L. Gierach. Associations of circulating hormones with mammographic density in postmenopausal women referred to diagnostic breast biopsy [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3488.

Introduction. Data examining mammographic breast density (MBD) among patients in Sub-Saharan Africa are sparse. We evaluated how MBD relates to breast cancer characteristics in Kenyan women undergoing diagnostic mammography. Methods. This cross-sectional study included women with pathologically confirmed breast cancers (n=123). Pretreatment mammograms of the unaffected breast were assessed to estimate absolute dense area (cm2), nondense area (cm2), and percent density (PD). Relationships between density measurements and clinical characteristics were evaluated using analysis of covariance. Results. Median PD and dense area were 24.9% and 85.3 cm2. Higher PD and dense area were observed in younger women (P<0.01). Higher dense and nondense areas were observed in obese women (P-trend < 0.01). Estrogen receptor (ER) positive patients (73%) had higher PD and dense area than ER-negative patients (P≤0.02). Triple negative breast cancer (TNBC) patients (17%) had lower PD and dense area (P≤0.01) compared with non-TNBCs. No associations were observed between MBD and tumor size and grade. Conclusions. Our findings show discordant relationships between MBD and molecular tumor subtypes to those previously observed in Western populations. The relatively low breast density observed at diagnosis may have important implications for cancer prevention initiatives in Kenya. Subsequent larger studies are needed to confirm these findings.

Breast density is one of the strongest predictors of breast cancer risk. Women with the densest breasts are four- to six-times more likely to develop cancer compared with those with the lowest densities. Breast density is generally assessed using mammographic imaging; however, this approach has limitations. Magnetic resonance imaging and ultrasound tomography are some alternative imaging modalities that can aid mammography in patient screening and the measurement of breast density. As breast density becomes more commonly discussed, knowledge of the advantages and limitations of breast density as a marker of risk will become more critical. This review article discusses the relationship between breast density and breast cancer risk, lists the benefits and drawbacks of using multiple different imaging modalities to measure density and briefly discusses how breast density will be applied to aid in breast cancer prevention and treatment.

The aetiology and clinical behaviour of breast cancers vary by oestrogen receptor (ER) expression, HER2 expression and over time. Data from the United States and Denmark show rising incidence rates for ER+ and falling incidence rates for ER- breast cancers. Given that Ireland is a somewhat similar Western population but with distinctive risk exposures (especially for lactation), we analysed breast cancer trends by ER status; and for the first time, by the joint expression of ER±/HER2±. We assessed invasive breast cancers (n = 24,845; 2004-2013) within the population-based National Cancer Registry of Ireland. The population at risk was obtained from the Irish Central Statistics Office (n = 10,401,986). After accounting for missing ER and HER2 data, we assessed receptor-specific secular trends in age-standardised incidence rates (ASRs) with the estimated annual percentage change (EAPC) and corresponding 95% confidence intervals (95% CI). Age-period-cohort models were also fitted to further characterise trends accounting for age, calendar-period and birth-cohort interactions. ASRs increased for ER+ (EAPC: 2.2% per year [95% CI: 0.97, 3.45%/year]) and decreased for ER- cancers (EAPC: -3.43% per year [95% CI: -5.05, -1.78%/year]), as well as for specific age groups at diagnosis (30-49, 50-64 and ≥65 years). ER+/HER2- cancers rose, ER+/HER2+ cancers were statistically flat and ER-/HER± cancers declined. Secular trends for ER± cancers in Ireland were like those previously observed. Stratification by HER2± expression did not substantively alter ER± trends. The divergence of ER± incidence rates among independent Western populations likely reflects calendar-period and/or risk factor changes with differential effects for ER+ and ER- breast cancers.

There are no published data from specific regions of sub-Saharan Africa describing the clinical and pathological characteristics and molecular subtypes of invasive breast cancer by ethnic group. The purpose of this study was to investigate these characteristics among the three major ethno-cultural groupings in Kenya. The study included women with pathologically confirmed breast cancer diagnosed between March 2012 and May 2015 at 11 hospitals throughout Kenya. Sociodemographic, clinical, and reproductive data were collected by questionnaire, and pathology review and immunohistochemistry were performed centrally. The 846 cases included 661 Bantus (78.1%), 143 Nilotes (16.9%), 19 Cushites (2.3%), and 23 patients of mixed ethnicity (2.7%). In analyses comparing the two major ethnic groups, Bantus were more educated, more overweight, had an older age at first birth, and had a younger age at menopause than Nilotes (p

Background Postmenopausal obesity is associated with increased circulating levels of androgens and estrogens and elevated breast cancer risk. Crown-like structures (CLS; microscopic foci of dying adipocytes surrounded by macrophages) are proposed to represent sites of increased aromatization of androgens to estrogens. Accordingly, we examined relationships between CLS and sex-steroid hormones in breast adipose tissue and serum from postmenopausal breast cancer patients. Methods Formalin-fixed paraffin embedded benign breast tissues collected for research from postmenopausal women (n = 83) diagnosed with invasive breast cancer in the Polish Breast Cancer Study (PBCS) were evaluated. Tissues were immunohistochemically stained for CD68 to determine the presence of CLS per unit area of adipose tissue. Relationships were assessed between CD68 density and CLS and previously reported sex-steroid hormones quantified using radioimmunoassays in serum taken at the time of diagnosis and in fresh frozen adipose tissue taken at the time of surgery. Logistic regression analysis was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the relationships between hormones (in tertiles) and CLS. Results CLS were observed in 36% of benign breast tissues, with a higher frequency among obese versus lean women (54% versus 17%, p = 0.03). Detection of CLS was not related to individual hormone levels or breast tumor pathology characteristics. However, detection of CLS was associated with hormone ratios. Compared with women in the highest tertile of estrone:androstenedione ratio in fat, those in the lowest tertile were less likely to have CLS (OR 0.12, 95% CI 0.03–0.59). A similar pattern was observed with estradiol:testosterone ratio in serum and CLS (lowest versus highest tertile, OR 0.18, 95% CI 0.04–0.72). Conclusions CLS were more frequently identified in the breast fat of obese women and were associated with increased ratios of select estrogens:androgens in the blood and tissues, but not with individual hormones. Additional studies on CLS, tissue and blood hormone levels, and breast cancer risk are needed to understand and confirm these findings. Electronic supplementary material The online version of this article (doi:10.1186/s13058-016-0791-4) contains supplementary material, which is available to authorized users.

Diagnosis of breast carcinomas has so far been limited to the morphological interpretation of epithelial cells and the assessment of epithelial tissue architecture. Consequently, most of the automated systems have focused on characterizing the epithelial regions of the breast to detect cancer. In this paper, we propose a system for classification of hematoxylin and eosin (H&E) stained breast specimens based on convolutional neural networks that primarily targets the assessment of tumor-associated stroma to diagnose breast cancer patients. We evaluate the performance of our proposed system using a large cohort containing 646 breast tissue biopsies. Our evaluations show that the proposed system achieves an area under ROC of 0.92, demonstrating the discriminative power of previously neglected tumor-associated stroma as a diagnostic biomarker., 5 pages, 2 figures, ISBI 2017 Submission

Introduction: The long-term risks and benefits of breast radiotherapy for the treatment of ductal carcinoma in situ (DCIS) remain unclear. A recent study using data from the Surveillance, Epidemiology and End Results (SEER) registries showed that DCIS-associated radiotherapy treatment significantly increased risks of second non-breast cancers. To help disentangle those observations and understand whether breast cancer risk factors are related to radiotherapy treatment decision making, we aimed to identify factors associated with receipt of radiotherapy treatment for DCIS. Methods: Accordingly, among 1,628 women with DCIS who participated in the large prospective National Institutes of Health (NIH)-AARP (formerly American Association of Retired Persons) Diet and Health Cohort Study, that were diagnosed between study entry and follow up (through 31st December 2011) and eligible for inclusion, we examined associations between demographic, lifestyle and clinical factors and receipt of radiotherapy treatment. Odds ratios and 95% confidence intervals (CIs) were estimated from multivariable logistic regression models, to determine associations. Results: Among women diagnosed with DCIS, 45% (n=730) received radiotherapy treatment. No relationships were observed between receipt of radiotherapy and lifestyle factors including smoking status. The strongest associations were observed for clinical factors. Receipt of radiotherapy was associated with a more recent diagnoses period (2005-2011 versus 1995-1999; OR=1.60, 95%CI: 1.14, 2.25), diagnosis within eastern (Michigan/New Jersey) versus western US states, (OR=1.44, 95%CI: 1.07, 1.93), poorly than well-differentiated tumours (OR=1.69, 95%CI: 1.16, 2.46) and receipt of endocrine therapy (OR=3.37, 95%CI: 2.56, 4.44). Discussion: Clinical characteristics of the DCIS and temporal trends in radiotherapy use were the strongest determinants of radiotherapy treatment within this population. Receipt of radiotherapy was largely unrelated to lifestyle factors suggesting that the previously observed associations in SEER between radiotherapy treatment and risk of non-breast cancers were likely not confounded by lifestyle factors including smoking status. Thus, these findings are relevant for understanding the aetiology of subsequent secondary cancers among the increasing population of DCIS survivors. The lack of association observed for breast cancer family history and prior breast biopsy suggest that these risk factors do not influence radiotherapy clinical decision making. Citation Format: Maeve Mullooly, Diana R. Withrow, Rochelle E. Curtis, Shaoqi Fan, Linda M. Liao, Ruth M. Pfeiffer, Amy Berrington de Gonzalez, Gretchen L. Gierach. Association of lifestyle and clinical characteristics with receipt of radiotherapy treatment among women diagnosed with DCIS in the National Institutes of Health-AARP Diet and Health Cohort Study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3331.

Trastuzumab has been shown to improve the survival outcomes of HER2 positive breast cancer patients. However, a significant proportion of HER2-positive patients are either inherently resistant or develop resistance to trastuzumab. We assessed the effects of neratinib, an irreversible panHER inhibitor, in a panel of 36 breast cancer cell lines. We further assessed its effects with or without trastuzumab in several sensitive and resistant breast cancer cells as well as a BT474 xenograft model. We confirmed that neratinib was significantly more active in HER2-amplified than HER2 non-amplified cell lines. Neratinib decreased the activation of the 4 HER receptors and inhibited downstream pathways. However, HER3 and Akt were reactivated at 24 hours, which was prevented by the combination of trastuzumab and neratinib. Neratinib also decreased pHER2 and pHER3 in acquired trastuzumab resistant cells. Neratinib in combination with trastuzumab had a greater growth inhibitory effect than either drug alone in 4 HER2 positive cell lines. Furthermore, trastuzumab in combination with neratinib was growth inhibitory in SKBR3 and BT474 cells which had acquired resistance to trastuzumab as well as in a BT474 xenograft model. Innately trastuzumab resistant cell lines showed sensitivity to neratinib, but the combination did not enhance response compared to neratinib alone. Levels of HER2 and phospho-HER2 showed a direct correlation with sensitivity to neratinib. Our data indicate that neratinib is an effective anti-HER2 therapy and counteracted both innate and acquired trastuzumab resistance in HER2 positive breast cancer. Our results suggest that combined treatment with trastuzumab and neratinib is likely to be more effective than either treatment alone for both trastuzumab-sensitive breast cancer as well as HER2-positive tumors with acquired resistance to trastuzumab.

PARP inhibitors, both as monotherapy and in combination with cytotoxic drugs, are currently undergoing clinical trials in several different cancer types. In this investigation, we compared the antiproliferative activity of two PARP/putative PARP inhibitors, i.e., olaparib and iniparib, in a panel of 14 breast cancer cell lines (seven tripe-negative and seven non-triple-negative). In almost all cell lines investigated, olaparib was a more potent inhibitor of cell growth than iniparib. Inhibition by both drugs was cell line-dependent and independent of the molecular subtype status of the cells, i.e., whether cells were triple-negative or non-triple negative. Although the primary target of PARP inhibitors is PARP1, no significant association was found between baseline levels of PARP1 activity and inhibition with either agent. Similarly, no significant correlation was evident between sensitivity and levels of CDK1, BRCA1 or miR-182. Combined addition of olaparib and either the CDK1 inhibitor, RO-3306 or a pan HER inhibitor (neratinib, afatinib) resulted in superior growth inhibition to that obtained with olaparib alone. We conclude that olaparib, in contrast to iniparib, is a strong inhibitor of breast cancer cell growth and may have efficacy in breast cancer irrespective of its molecular subtype, i.e., whether HER2-positive, estrogen receptor (ER)-positive or triple-negative. Olaparib, in combination with a selective CDK1 inhibitor or a pan HER inhibitor, is a potential new approach for treating breast cancer.

Comparing risk factor associations between invasive breast cancers and possible precursors may further our understanding of factors related to initiation versus progression. Accordingly, among 190,325 postmenopausal participants in the National Institutes of Health-AARP Diet and Health Study (1995-2011), we compared the association between risk factors and incident ductal carcinoma in situ (DCIS; n = 1,453) with that of risk factors and invasive ductal carcinomas (n = 7,525); in addition, we compared the association between risk factors and lobular carcinoma in situ (LCIS; n = 186) with that of risk factors and invasive lobular carcinomas (n = 1,191). Hazard ratios and 95% confidence intervals were estimated from multivariable Cox proportional hazards regression models. We used case-only multivariable logistic regression to test for heterogeneity in associations. Younger age at menopause was associated with a higher risk of DCIS but lower risks of LCIS and invasive ductal carcinomas (P for heterogeneity < 0.01). Prior breast biopsy was more strongly associated with the risk of LCIS than the risk of DCIS (P for heterogeneity = 0.04). Increased risks associated with use of menopausal hormone therapy were stronger for LCIS than DCIS (P for heterogeneity = 0.03) and invasive lobular carcinomas (P for heterogeneity < 0.01). Associations were similar for race, age at menarche, age at first birth, family history, alcohol consumption, and smoking status, which suggests that most risk factor associations are similar for in situ and invasive cancers and may influence early stages of tumorigenesis. The differential associations observed for various factors may provide important clues for understanding the etiology of certain breast cancers.

The ADAMs (a disintegrin and metalloproteases) are transmembrane multidomain proteins implicated in multiple biological processes including proteolysis, cell adhesion, cell fusion, cell proliferation and cell migration. Of these varied activities, the best studied is their role in proteolysis. However, of the 22 ADAMs believed to be functional in humans, only approximately a half possess matrix metalloproteinase (MMP)-like protease activity. In contrast to MMPs which are mostly implicated in the degradation of extracellular matrix proteins, the main ADAM substrates are the ectodomains of type I and type II transmembrane proteins. These include growth factor/cytokine precursors, growth factor/cytokine receptors and adhesion proteins. Recently, several different ADAMs, especially ADAM17, have been shown to play a role in the development and progression of multiple cancer types. Consistent with this role in cancer, targeting ADAM17 with either low molecular weight inhibitors or monoclonal antibodies was shown to have anti-cancer activity in multiple preclinical systems. Although early phase clinical trials have shown no serious side effects with a dual ADAM10/17 low molecular weight inhibitor, the consequences of long-term treatment with these agents is unknown. Furthermore, efficacy in clinical trials remains to be shown.

Tamoxifen is highly effective in treating estrogen receptor (ER) –positive breast cancer. Meta-analyses of adjuvant tamoxifen treatment for 5 years have shown reduced breast cancer recurrence at 10 years, with reduced breast cancer mortality observed at 15 years(event rate ratio, 0.70; 95% CI, 0.64 to 0.75). 1 Given thattamoxifenmetabolitesbindtothe ER more avidly than the parent drug, tamoxifen recipients are hypothesized to be divisible into a group of excellent metabolizers, who receive benefit with standard dosing, and poor metabolizers, who do not benefit. 2 Accordingly, the development of validated measures for monitoring tamoxifen effectiveness would have great value, particularly among premenopausal women, a group in which tamoxifen is first-line therapy. We highlight the potential relevance of assessing mammographic breast density as a marker of tamoxifen efficacy, particularly among premenopausal women in a clinical setting. Mammographic density is a radiologic measure of the fibroglandular content within the breast and is usually expressed as the percentage of total breast area composed of dense tissue. 3,4 Women with the highest levels of percent density (ie, . 75%) experience a four- to six-fold increased relative risk of developing breast cancer compared with women who have the lowest percentage mammographic density when adjusted for confounders. 3,4 Amassing data suggest that a decline in mammographic density could serve as a much-needed predictor of a favorable response to the selective ER modulator tamoxifen. The results of four retrospective analyses, which include one that evaluated breast cancer–specific mortality among patients with ER-positive disease treated with tamoxifen, indicated that women whose mammographic density declined in the unaffected breast after initiation of tamoxifen therapy had better outcomes (reduced risk of recurrence 5,6 or death from breast cancer 7,8 ). The magnitude of the observed benefit associated with a decline (approximately 10%) in breast density was remarkably similar across studies, despite differences in the methods of mammographic density assessment and analytic approaches, which suggests that these findings are robust. The results from studies that included premenopausalwomen are shown in Table 1 .Ofthe two prior studies that examined tamoxifen-related changes and breast cancer death, 7,8 one excluded premenopausal women, 7 for whom tamoxifen remains as the primary endocrine therapy. Assessment of mammographic density change after tamoxifen treatment, specifically among younger women, merits further study to maximize the potential translational benefit of monitoring mammographic breast density change as a prognostic indicator in the clinic. In our prior retrospective analysis of patients with ER-positive breast cancer (age range, 32 to 87 years) who were diagnosed at Kaiser Permanente Northwest, 8 we compared the change in mammographic density after 1 year of tamoxifen treatment among 97 patients who died of breast cancer with 252 matched patients who did not. Women who were in the highest tertile of mammographic density decline were less likely to die of breast cancer (odds ratio [OR], 0.44; 95% CI, 0.22 to 0.88). 8 To explore the potential utility of assessing mammographic density decline as a measure of effectiveness among premenopausal women who received adjuvant tamoxifen, we performed a subset analysis that examined recurrences and deaths among 136 women with ER-positive breast cancer diagnosed at age 55 years or younger (a surrogate for premenopausal status) who were included in the initial report. Among these women, there were 34 recurrences or deaths at 5 years of follow-up and 50 such events during the whole study period (1990 to 2010). Although this analysis is limited by statistical power, multivariate Cox proportional hazards regression models demonstrated that patients with $ 10% decline in mammographic density after 1 year of tamoxifen therapy had an onsignificant improvement in disease-free survival (DFS) at 5-year follow-up (hazard ratio [HR], 0.78; 95% CI, 0.38 to 1.61)

Background: Due to the absence of ER, PR and HER2, targeted therapy is currently unavailable for patients with triple negative breast cancer (TNBC). Although TNBC lack overexpression of HER2, HER1, or EGFR, signaling is active in at least a subset of these cancers. Activation of EGFR is initiated by ADAM17-mediated release of ligands such as EGF, TGFa and HB-EGF. The aim of this study was to test the hypothesis that inhibition of ADAM17 is a novel approach for the treatment of TNBC. Methods: Gene expression data sets were analyzed for ADAM17 expression (3,519 samples across 21 datasets incorporating 10 different microarrays). We used the ADAM17 specific inhibitor, WAY-180022 (WAY: Pfizer), the EGFR inhibitor gefitinib and 5-fluorouracil (5FU) (Sigma Aldrich) to determine their effects on the growth of 7 TNBC cell lines (MDA-MB-231, MDA-MB-468, SUM159PT, HCC1937, BT20, Hs578t, Hs578i) and 6 non-TNBC cell lines (MCF7, T47D, BT474, JIMT-1, SKBR3, MDA-MB-453). Growth inhibitory effects were determined by cell counts and by MTT cell viability assay (Roche), following 5 days post treatment. Levels of TGF alpha were measured by ELISA in conditioned media from cells treated with 1μM WAY for 24 hours. Levels of pEGFR were also measured by ELISA. Results: We analyzed expression of ADAM17 across molecular subtypes for breast cancer. Levels of ADAM17 mRNA were significantly elevated in the basal like subtype (most of which were TNBC) compared to luminal A, luminal B or HER2 positive breast cancers. In vitro, treatment with WAY-180022 alone resulted in growth inhibitory effects ranging from 15 −49 %in TNBC cells as determined by cell counts. By MTT viability assay, treatment with 1 μM WAY resulted in a significant reduction in cell proliferation compared to vehicle control in MDA-MB-231 (p = 0.007) cells. Addition of WAY to gefitinib resulted in a significant reduction in proliferation in MDA-MB-231 cells compared to either gefitinib or WAY alone (p = 0.017 and p = 0.003, respectively). Similarly, addition of WAY to 5FU resulted in a significant inhibitory effect compared to 5FU alone in MDA-MB-468 (p = 0.007) cells. Investigating the functional effects of ADAM17 inhibition on breast cancer cells, we found that levels of pEGFR were reduced by between 26–57.6% in 5 of 6 lines examined. pEGFR levels were significantly reduced in MDA-MB-468 (p = 0.01) and MDA-MB-231 (p = 0.01) cells. In addition, levels of TGFα were significantly reduced following treatment with 1 μM WAY (MDA-MB-468, p = 0.008; MDA-MB-231, p = 0.012; HCC1143, p = 0.033; Hs578i8, p = 0.036). Conclusion: Based on our findings, inhibition of ADAM17 with WAY-180022 is a potential treatment for patients with TNBC. Acknowledgement: The authors wish to thank Science Foundation Ireland, Strategic Research Cluster award (08/SRC/B1410) to Molecular Therapeutics for Cancer Ireland and the Health Research Board Clinician Scientist Award (CSA/2007/11) for funding this work. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P3-17-03.