Visscher, DW

Abstract Background: Both HR deficiency and BRCA mutation status predict response to platinum-based therapy and BRCA mutation status predicts docetaxel resistance. However, the association of either biomarker with response to the individual elements of either AC or taxanes (T) is unknown since T is commonly given concomitantly with or after anthracyclines (A). We evaluated the association of HRD and BRCA mutation status with response to neoadjuvant weekly T followed by AC or (F)EC in high-risk breast cancer. Methods: We studied 140 high risk Stage I-III breast cancer patients (pts), enrolled in the breast cancer genome guided therapy study (BEAUTY), obtaining biopsies for DNA/RNA sequencing and MRI imaging to assess response to neoadjuvant weekly T (+trastuzumab+/-pertuzumab for HER2+ disease) followed by AC or (F)EC. Germline BRCA status and HR status of tumor samples (Myriad laboratories) were obtained. HR deficient tumor was defined as HRD score ≥42 or BRCA mutation. MRI response by changes in tumor size after 12 weeks of T was classified by WHO criteria. pCR was defined as ypT0/Tis ypN0. Both MRI response after T and pCR (after T and AC) were examined in terms of germline BRCA mutation (gBRCAmut vs. gBRCAwt) and tumor HR deficiency. Results: Of 140 pts enrolled, 8 withdrew consent and 2 carboplatin treated pts were excluded. Germline data were available for 124/130 pts. 12 patients had BRCA deleterious germline mutations (4 BRCA1, 8 BRCA2). MRI partial (PR)/complete response (CR) rate to T was 47.3% (95% CI: 37.8-57.0%) in the BRCAwt group and 66.7% (95% CI: 34.9-90.1%) in the BRCAmut group. No MRI CR's were observed in BRCA1 mut pts. In contrast, pCR rate was 50% in the 12 gBRCAmut pts (95% CI: 21.1-78.9%) and 31.3% in the 112 gBRCAwt pts (95% CI: 22.8-40.7%). HR deficiency status has thus far been determined for 74 pts: 26 pts have HD deficient tumors: 18 TNBC, 5 Luminal B, 2 ER-/HER2+; and 1 ER+/HER2+. Determination of HR deficiency is ongoing and will be reported for the full cohort in terms of 12 week MRI response to T and pCR to T+AC. HR deficientMolecular Subtypeyes (%)no (%)TBD (%)Luminal A0/112/11 (18.2)9/11 (81.8)Luminal B5/37 (13.5)13/37 (35.1)19/37 (51.3)Luminal NOS0/21/2 (50)1/2 (50)ER+/Her2+1/17 (5.8)14/17 (82.4)2/17 (11.8)ER-/Her2+2/20 (10)11/20 (55)7/20 (35)Triple Negative18/43 (41.9)6/43 (18.6)17/43 (39.5)germline BRCA statusMRI partial response after T (%)MRI complete response after T (%)pCR after T&AC (%)BRCA11/4 (25)0/42/4 (50)BRCA25/8 (62.5)2/8 (25)4/8 (50)BRCAwt35/112 (31.3)18/112 (16.1)35/112 (31.3) Conclusion: In the setting of neoadjuvant weekly T followed by AC, pCR rates were non-significantly higher in pts with BRCA1 mutations. While we observed no overall association between BRCA mutation status and response rates to taxanes; nearly all MRI responses to taxanes (partial and complete) were observed in the BRCA2 group. Prospective studies are needed to validate these findings and to determine whether BRCA status can be used to select therapy. HR deficiency is uncommon in luminal A and HER2+, frequent in TNBC, and the association of HRD with both MRI response to taxanes and pCR will be reported at the meeting. Citation Format: Boughey JC, Kalari KR, Suman VJ, McLaughlin SA, Moreno Aspitia A, Moyer AM, Northfelt DW, Gray RJ, Vedell PT, Tang X, Dockter TJ, Jones KN, Felten SJ, Conners AL, Hart SN, Visscher DW, Wieben ED, Ingle JN, Hartman A-R, Timms K, Elkin E, Jones J, Wang L, Weinshilboum RW, Goetz MP. Role of germline BRCA status and tumor homologous recombination (HR) deficiency in response to neoadjuvant weekly paclitaxel followed by anthracycline-based chemotherapy. [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 P3-07-29.

Abstract Background: Age-related lobular involution (LI) is a physiological process, usually accelerated with menopause, in which the epithelial tissue of the breast gradually regresses. Our previous analysis of a cohort of more than 14,000 women who had a benign breast biopsy at the Mayo Clinic revealed that women who had undergone LI were at significantly reduced risk of subsequent breast cancer development. In our studies of postmenopausal women specifically, we found that more than 40% had not completed the process of LI, and that the increased breast cancer incidence in older women was strongly associated with incomplete LI. We sought to determine the potential protective mechanistic effects of lobular involution. Methods: We generated primary human mammary epithelial cell lines (HMECs) from breast biopsies of women who showed no LI (N = 6), partial LI (N = 7), or complete LI (N = 6). These cell lines were analyzed for proliferation in culture and profiled for genomic signatures using Affymetrix gene arrays. We also analyzed RNA isolated from a cohort of archived formalin-fixed, paraffin-embedded (FFPE) benign breast biopsy samples from postmenopausal women who had either completed the process of LI (N = 4) or who had not initiated LI (N = 8) for genomic signatures using Whole-Genome DASL Assays. Results: We found that LI was associated with decreased cellular proliferation and inhibition of processes associated with tumor development and progression. Specifically, we found that HMECs derived from benign breast biopsies in which LI was not evident showed increased proliferation and elevated expression of Twist (p = 0.002), a transcription factor associated with epithelial-mesenchymal transition (EMT) and breast cancer development. We are assessing differentially expressed genes for association with breast cancer risk using a nested case:control group of benign breast biopsies from women in our cohort who subsequently developed breast cancer (N = 85) vs those who did not (N = 142) and for whom LI status at the time of initial biopsy was known. Conclusions: LI may decrease cancer risk through inhibition of key tumorigenic processes. Identification of processes associated with the physiologic risk reduction seen with LI may provide insight into novel avenues for risk reduction. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P6-06-01.

Abstract Background: Fibroadenoma (FA) is a relatively common benign breast tumor that can occur in women of any age, with a peak incidence during the second and third decades. The only previous study of this lesion reported that FAs are associated with a 2.2 times increased risk of developing invasive breast cancer (BC) compared to matched controls [1]. This relative risk may increase to 3.1 among patients with complex FA, and remains elevated for decades after diagnosis. However, this study did not thoroughly account for other forms of concomitant risk factors. Our investigative team sought to examine breast cancer risk among women with non-complex and complex FA, overall and stratified by other BC risk factors. Materials and Methods: The study cohort included women between ages 18 to 85 in the Mayo Benign Breast Disease (BBD) Cohort who underwent excisional breast biopsy between 1967and1991 and were found to have a FA. FA was defined histologically as a combination of epithelial and stromal proliferation. Complex FA was defined as FA associated with any of the following features: sclerosing adenosis, epithelial calcifications, papillary apocrine change, and microcysts greater than 3.0 mm. The primary endpoint was a diagnosis of BC, determined using the Mayo medical record and questionnaire information from study participants. A single breast pathologist, blinded to the initial diagnosis and clinical outcome, performed pathology review. Observed vs. expected BC risk across levels of FA was assessed via standardized incidence ratios (SIRs), using age-stratified incidence rates from the Iowa Surveillance, Epidemiology, and End Results (SEER) registry. Analyses were carried out overall and within subgroups of involution status (none, partial, complete) and overall histology (non-proliferative disease [NP], proliferative disease without atypia [PDWA] or atypical hyperplasia [AH]). Results: Of 9097 women in the Mayo BBD Cohort, FA were identified in 2139- non-complex in 1903 (20.9%) and complex in 236 (2.6%). The greatest proportion of FA occurred in the 40–69 age range. The mean ages for women with non-complex FA and complex FA were 45.7 and 50.2 years respectively. The SIR of breast cancer in the overall BBD cohort was 1.5 (95% CI [1.4–1.6]). The SIR among women with non-complex FA was 1.5 (95% CI [1.3–1.8]), and for complex FA increased to 2.41 (95% CI [1.7–3.4]). However, women with complex FA were more likely to have other concomitant high-risk histologic features such as PDWA and incomplete involution. In stratified analyses accounting for involution status and PDWA, complex FA did not demonstrate an independent increase in BC risk. Conclusion: Complex FA does not confer an increased risk for BC beyond other established histologic features. Therefore, women with complex FA should be managed based upon a risk level consistent with the major histologic category of PDWA and/or AH. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P5-01-08.

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 Background: Based upon the association between pathologic response and disease free survival, the neoadjuvant setting is increasingly being used for drug development. NGS has identified unique and recurrent genetic alterations in breast cancer (BC) that are potentially targetable; however, the clinical implications are mostly unknown. We developed a prospective neoadjuvant study (BEAUTY) in high risk BC patients (pts) using weekly T followed by anthracycline-based chemo wherein percutaneous tumor biopsies (PTB) are obtained before/during/after chemo for NGS and PDX. Our goal is to identify novel biomarkers/pathways and develop PDX to test new therapeutic approaches. Methods: Pts underwent PTB at baseline and after 12 wks of T. Response to T was defined based upon 12 week Ki-67: responder (<15%) vs non-responder (≥15%). Pts with histologic response and absence of invasive BC at 12 wks were classified as responders. NGS was performed using PTB/blood DNA (exome) and PTB (RNA seq). MRI response was classified using RECIST criteria. NGS data were used to identify somatic copy number variants (cnvs) and expressed single nucleotide variants (eSNVs). Non-SCID mice (estrogen supplemented) were implanted ≤ 30 minutes with PTB samples. Results: Of the first 78 pts, 44 have completed T. Here we focus on 18 pts with either triple negative or luminal B BC. Clinical characteristics according to Ki-67 response are shown in Table 1. Comparison of genomic alterations in BEAUTY pts with TCGA identified a greater overlap with copy number gains (73%) compared to deletions (40%), along with similar observations of mutations in TP53, PTEN, RYR2, and AKT1 genes. Association analysis of CNVs and eSNVs between responders/non-responders identified 33 genes (predominantly located in chromosomes 1, 8, 13) and 580 eSNVs (corresponding to 497 genes) with a p < 0.05. Differential gene expression (DGE) analysis of responders/non-responders identified 198 genes with a p-value < 0.05. Integrated analysis of 539 genes (CNVs, eSNVs and DGE) identified pathways such as TGF-beta, Jak-Stat, WNT and NOTCH signalling. PDX take rate was 44% [triple negative (6/10); Luminal B (2/8)]. PDX growth rate was significantly associated with clinical baseline Ki-67 (p = 0.00014). Conclusion: This is the first prospective study to demonstrate the feasibility of using PTB to obtain both NGS data and PDX in the neoadjuvant setting. PDX take rate is associated with BC subtype and baseline Ki-67. Studies are ongoing to 1) validate genes/pathways associated with treatment response in subsequent BEAUTY pts; 2) genomically characterize and assess PDX in vivo response to T and 3) Use NGS data to prioritize new drugs/drug combinations in PDX. Funded by Mayo Clinic Center for Individualized Medicine and MC Cancer Center. Clinical CharacteristicsOverallResponders: 12 week Ki-67 < 15% (n = 9)Non-Responders: 12 week Ki-67 ≥ 15% (n = 9)Median Age495345T stage T2/T314 (78%)7 (78%)7 (78%)Node Positive8 (44%)4 (44%)4 (44%)Triple negative10 (56%)6 (67%)4 (44%)Luminal B8 (44%)3 (33%)5 (56%)Ki-67 after 12 Weeks of T Median 5% (0-11%)Median 35% (17-60%)Complete/Partial MRI Response after T 6 (67%)2 (22%) Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P1-08-10.

Abstract Invasive breast carcinoma in African American (AA) women differs significantly from their Caucasian (CA) counterparts in its incidence, morphology and outcome. These tumors are more likely to be high grade, hormone receptor negative, present at a younger age and at a higher stage. Evaluation and a better understanding of precursor lesions may help delineate the mechanisms underlying the development of breast cancer in these two groups. Atypical hyperplasia (AH) in the breast has been associated with an increased risk of developing cancer (relative risk∼4.0). Risk stratification of these women by identification of predictive biomarkers would be beneficial for optimal patient care. In our study we evaluated the expression of the following prognostic biomarkers: estrogen receptor (ER), Cyclooxygenase-2 (COX-2) enzyme and Ki-67 in AH in a cohort of AA women with benign breast biopsies. AA women with benign breast biopsies from years 1997–2000 were retrieved from our departmental database. Clinical and follow up data was obtained from the SEER database. The hematoxylin and eosin (H & E) slides for these cases were reviewed by 2 pathologists, who were blinded to the outcome, and those with atypia were included in this study. Paraffin blocks were retrieved for immunohistochemical (IHC) analysis and standardized scoring methods applied. A total of 1608 AA women had benign breast biopsies during the study period. We performed IHC analysis on 37 (2.3%) who were diagnosed with atypia (25 cases of atypical ductal hyperplasia (ADH) and 12 cases of atypical lobular hyperplasia (ALH)). Increased COX-2 expression was seen in 19 of 28 (67.8%) cases with AH. Of these, 13 of 19 cases (68.4%) were of ADH and 6 of 9 cases (66.7%) were of ALH. Twenty of 25 cases had a high expression of ER overall. Of these, 15 of17 (88.2%) of the positive cases was in the ADH category and 3 of 7 (42.8%) was in the ALH group. Of 32 cases, only 3 cases showed a proliferation rate of > 2% (9.4%) with Ki-67 IHC stain. All of these cases belonged to the ADH (21) category. In summary, the majority of AH cases showed increased COX-2 expression, although no differences were observed between lobular and ductal lesions. In contrast, ADH lesions appeared to exhibit increased reactivity for ER compared to ALH. Similarly, although rare, more ADH cases showed an increased proliferation rate compared to ALH. From our data, COX-2 and ER might be of prognostic significance in AA patients with AH. Larger studies with follow up are needed to understand this disease further. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P2-11-07.

Abstract African American (AA) women have higher mortality rates from breast cancer (BrCa) and are diagnosed at younger ages than their Caucasian counterparts. Women who have had a benign breast biopsy are at increased risk of the disease, although less is known about the risk of BrCa associated with benign breast disease in AA women. We examined 1428 breast biopsies from AA women which occurred from 1997–2000 and assessed various pathologic markers including: apocrine metaplasia, ductal hyperplasia including atypia, evidence of cysts, duct ectasia, fibrosis, intra-ductal papilloma, sclerosing adenosis, columnar alteration, and involution (atrophy). These women were followed for later BrCa through the Metropolitan Detroit Cancer Surveillance System, part of the Surveillance, Epidemiology and End Results (SEER) program through 2008. Women who developed BrCa were compared to those in the cohort who did not, and to other AA women with BrCa in the SEER registry. AA women in our study were also compared to Caucasian women in the Mayo Clinic cohort. Differences in variables were assessed by chi-squared tests and 95% confidence intervals. Of the 1428 biopsies, 52 (3.6%) subsequent incident breast cancers were reported in SEER. The mean age at diagnosis was 59, and the mean time from biopsy to BrCa diagnosis was 6.1 years. Individuals with atypical ductal hyperplasia at biopsy (n=37, 2.6%) were more likely to develop breast cancer (n=7, 13.5%, p<0.01). No other pathologic variables were associated with increased risk. Women in our cohort with breast cancer did not differ from AA in the SEER database with respect to age at diagnosis, stage at diagnosis, or receptor positivity. Compared to the Caucasian women in the Mayo Clinic BBD cohort, AA women in our study were younger at biopsy (p<0.01), but had similar percentages of involution and atypia (p=0.50 and 0.15, respectively). Our preliminary findings among a relatively small group of AA women with prior benign breast biopsies and incident breast cancers suggest that results from the Mayo Cohort study are likely to apply to AA populations. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P1-08-16.

Abstract The association between hormone replacement therapy (HRT) and breast cancer risk in women with benign breast disease (BBD) is unclear. However, others have shown that HRT use is associated with the development of proliferative breast disease (Rohan et. al, CEBP 2008). To better clarify potential risks associated with postmenopausal hormone use in women with BBD, we performed a nested case control study within the Mayo Clinic Benign Breast Disease Cohort. In the cohort, there are 11,079 women who had benign breast biopsies between 1967 and 1996 and for whom we have outcome and risk factor data, including use of HRT. We studied 947 cases (breast cancer after BBD) and two controls matched to each case based on age and year of BBD. Information on use of HRT was obtained through use of questionnaires and medical record review with a mean time of follow up of 17.4 years. HRT use, histology, involution status, and family history were all evaluated for impact on breast cancer risk in a multivariate model. As shown in Table 1, when looking at effects of histology, involution, and family history, we confirmed previously reported findings of risk (Hartmann LC et. al, NEJM 2005). Specifically, we saw increased risk in women with AH vs. PDWA or NP, decreased risk with complete involution vs. partial or no involution, and increased risk with strong family history vs. weak or no family history. Associations of hormone replacement therapy and other relevant clinical variables with risk of breast cancer Multivariate model simultaneously including all variables listed in the table. HRT=hormone replacement therapy. NP=non-proliferative. PDWA=proliferative disease without atypia. AH=atypical hyperplasia We found that women who had used HRT had no higher risk of developing breast cancer than women who had not used HRT. Specifically, with Never Users as the reference group, those with 5 years or less exposure had OR 0.80 (0.56-1.15); 6-10 years, 0.85 (0.56-1.28) and 11+ years, 0.51 (0.36-0.72), p =0.002. In conclusion, we found that HRT use among postmenopausal women with BBD was not associated with an increased risk of breast cancer. In this case-control set, we confirmed previous findings regarding well established risk factors of histology, involution status, and family history. While HRT use may contribute to the development of proliferative breast disease, we do not see that HRT is associated with additional breast cancer risk, beyond that of the proliferative disease itself. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P6-09-03.

Abstract Abstract #62 Background: Breast cancer is the leading cause of cancer deaths in younger women (25 to 49 years of age). Young women with breast cancer also have worse overall survival and increased risk of recurrence compared to older women with breast cancer. Innovative approaches to understanding risk factors and tissue characteristics for the younger population can improve understanding of breast cancer etiology and enhance risk-stratification for these women. This study was aimed at examining breast cancer risk factors among young women (<50 years) with BBD. Materials and Methods: Utilizing the Mayo Clinic Surgical and Pathology Indices, women ages 18 to 85 who had benign excisional breast biopsy between January 1, 1967 and December 31, 1991 were identified. The diagnosis of breast cancer served as the study endpoint and was determined using the Mayo medical record and questionnaire information from study participants. The breast pathologist, blinded to the initial diagnosis and clinical outcome, performed pathology review. BBD was classified as non-proliferative disease (NPD), proliferative disease without atypia (PDWA), or atypical hyperplasia (AH). Age-related lobular involution (reduction in number and size of acini per lobule) was classified as none-0%, partial- 1 to74%, or complete- >75% involution. Relative risk (RR) was estimated by comparing the number of observed breast cancers with the number expected, based on breast cancer rates in the Iowa Surveillance, Epidemiology, and End Results registry. Results: Of the 9376 women in the Mayo BBD cohort, 4460 women were aged <50 years at BBD diagnosis and formed the study cohort. The mean age at BBD diagnosis was 39.4 (+ 8.3) years. With a median follow-up of 20 years, 326 breast cancer cases were identified. The histologic findings were NPD in 72% of women, PDWA in 26%, and AH in 2%. The relative risk of breast cancer for the overall cohort of young women with BBD was 1.5 (95% CI [1.4, 1.7]). The relative risk among those with AH was 6.9 (95% CI [4.6, 10.1), compared with a RR of 2.0 (95% CI [1.7, 2.4]) for PDWA, and RR of 1.2 (95% CI [1.0, 1.4]) for NPD. Risk was associated with extent of lobular involution (RR for no involution was 1.7 (95%CI [1.4, 2.1]); partial involution 1.4 (95%CI [1.2, 1.7]); complete involution 0.7 (95%CI [0.3, 1.4]). Family history was available for 83% of the cohort and RR was 2.2 (95% CI [1.7, 2.8]) for women with strong family history and was 1.3 (95% CI [1.1, 1.6]) for women with no family history. Discussion: Young women with BBD are at increased risk of breast cancer. Risk is high in women with atypical hyperplasia, and those with a family history of breast cancer. Lobular involution is associated with reduced breast cancer risk in this population, suggesting a role in modifying breast cancer risk. These findings suggest the need for further research in this population, along with tissue-based studies to examine the processes leading to breast cancer, and enable identification of those women at highest risk. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 62.

Abstract Abstract #5008 Background: Accurate, individualized risk prediction for breast cancer is lacking. Tissue-based features, such as the terminal duct lobular unit (TDLU), may help to stratify women into different risk levels as breast lobules are the anatomic sites of origin of breast cancer. As women age, these lobular structures should regress, which results in reduced breast cancer risk. Regression, however, does not occur in all women.
 Materials and Methods: We have quantified the extent of lobule regression on a benign breast biopsy in 85 breast cancer cases and 142 age-matched controls from the Mayo Benign Breast Disease Cohort, by determining number of acini/lobule and lobular area. We also calculated Gail model 5-year predicted risks for these women.
 Results: There is a step-wise increase in breast cancer risk with increasing numbers of acini/lobule (p=0.0004). Adjusting for Gail model score, parity, histology, and family history did not attenuate this association.
 
 Lobular area was similarly associated with risk. The Gail model estimates were associated with risk of breast cancer (p=0.03). We examined the individual accuracy of these measures using the concordance (c) statistic. The Gail model c-statistic was 0.60 (95% CI; 0.50-0.70); the acinar count c-statistic was 0.65 (95% CI; 0.54-0.75). Combining acinar count and lobular area, the c-statistic was 0.68 (95% GI; 0.58-0.78). Adding the Gail model to these did not improve the c-statistic.
 
 Discussion: Novel, tissue-based features that reflect the status of a woman's normal breast lobules are strongly associated with breast cancer risk. These features appear to provide more accurate risk assessment than the currently used Gail model. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 5008.