Tamimi, Rulla M.

Abstract Background. The increase in breast cancer risk during pregnancy and postpartum is well known; however, the molecular phenotype of breast cancers occurring shortly after pregnancy has not been well studied. Given this, we investigated whether nulliparity and the time interval since pregnancy among parous women affects the breast cancer phenotype in young women. Materials and Methods. We examined molecular phenotype in relation to time since pregnancy in a prospective cohort of 707 young women (aged ≤40 years) with breast cancer. Parity was ascertained from study questionnaires. Using tumor histologic grade on central review and biomarker expression, cancers were categorized as luminal A- or B-like, HER2 enriched, and triple negative. Results. Overall, 32% were luminal A-like, 41% were luminal B-like, 9% were HER2 enriched, and 18% were triple negative. Although, numerically, patients diagnosed >5 years after pregnancy had more luminal A-like subtypes than women with shorter intervals since pregnancy, there was no evidence of a relationship between these intervals and molecular subtypes once family history of breast cancer and age at diagnosis were considered. Conclusion. Distribution of breast cancer molecular phenotype did not differ significantly among young women by parity or time interval since parturition when important predictors of tumor phenotype such as age and family history were considered. Implications for Practice: Distribution of breast cancer molecular phenotype did not differ among parous young women by time interval since pregnancy. The implication of these findings for clinical practice suggests that pregnancy-associated breast cancers may be seen up to 5 years beyond parturition.

Abstract Background: There is an increasing recognition that many young women with breast cancer will have favorable outcomes without chemotherapy. We sought to characterize decision-making surrounding adjuvant chemotherapy treatment (CT) in this population for whom chemotherapy has historically been a standard of care. Methods: As part of an ongoing, multi-center, prospective cohort of young women diagnosed with breast cancer at age 40 and younger, we identified 657 women with Stage I-III breast cancer. Participants were asked to complete surveys by mail that included questions about socio-demographics, decision-making, and treatment history within the first year following diagnosis. Tumor characteristics were ascertained via pathology and medical record review. We used Chi-square tests to compare: decisional involvement (patient-driven vs. shared vs. physician-driven), degree of confidence, and feeling informed about the CT decision (the latter two measured on a 0-10 scale, categorized as follows: 0-5=low; moderate=6-8; 9-10=high) between women who did and did not receive CT. To explore clinical appropriateness of the CT decision, we used logistic regression to assess the relationship between tumor characteristics and non-receipt of CT among women with Stage I/II disease. Results: Among women with Stage I (n=250), II (n=312), and III (n=95), disease, 66%, 95%, and 100%, received CT, respectively. A greater proportion of women who had CT were highly confident with their decision compared with women who did not have CT (80% vs. 60%, p<0.0001); women who did not have CT were more likely to report a low level of feeling informed about the CT decision compared to women who received CT (20% vs. 5%, p<0.0001). Women who did not have CT were also more likely to report the final CT decision as made by their doctor (49% vs. 28%) and less likely to report a shared decision (33% vs. 59%, p<0.0001). Non-receipt of CT in women with Stage I/II disease (n=546) was associated within having node negative disease, T1 (vs. T2 or larger), Her2- negative, and hormone receptor positive tumors. Conclusion: Although non-receipt of CT would be expected to be viewed favorably by patients and doctors, we found that women who received CT felt more confident and better informed than those who received no CT. Given that women who did not have CT were also less likely to perceive the CT decision as shared, improved communication together with better decisional support may be beneficial, especially for women who do not receive adjuvant chemotherapy. Citation Format: Shoshana M Rosenberg, Karen Sepucha, Kathryn J Ruddy, Lidia Schapira, Steven Come, Virginia Borges, Evan Morgan, Nancy U Lin, Shari Gelber, Rulla M Tamimi, Ann H Partridge. Decision-making surrounding adjuvant chemotherapy in young women with early stage breast cancer [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P2-10-03.

Abstract Introduction: We recently reported the percentage of mammographic density (MD) to be a breast cancer risk factor across tumor characteristics and age groups. Yet, we noted stronger associations for tumors of large size and positive lymph nodes across all ages, and ER-negative status among women ages <55 years, suggesting high MD may play an important role in tumor aggressiveness, especially in younger women. We extend this initial study to investigate whether these associations with aggressive disease are due to the underlying associations of absolute dense or non-dense area, or both, with breast cancer risk. Methods: Data were pooled from six studies including 3517 women with invasive breast cancer and 8558 without. Dense area and non-dense area were assessed from digitized film-screen mammograms using a computer-assisted threshold technique. We standardized dense and non-dense area measurements made within each study and categorized into quartiles based on the control distribution for pooled analyses. We used polytomous logistic regression to calculate breast cancer odds according to tumor type, histopathological characteristics, and receptor (ER, PR) status by age (<55, 55-64, and ≥65 years), adjusting for continuous age, body mass index, and study site. Results: Absolute dense area was associated with increased breast cancer risk [odds ratios (ORs) Q1 vs Q2: 0.67, Q3 vs Q2: 1.25, Q4 vs Q2: 1.62] and non-dense area was associated with decreased breast cancer risk (ORs: Q1 vs Q2: 1.44, Q3 vs Q2: 0.89, Q4 vs Q2: 0.71) overall and across all age groups. Positive associations for absolute dense area were observed across all invasive tumor characteristics. Stronger associations were noted for larger tumors across all ages (p-trend <0.01). Among women <55 years, stronger associations were observed for ER+ vs ER- [p-heterogeneity (het) = 0.02] and PR+ vs PR- tumors (p-het = 0.02). Non-dense area was inversely associated with all tumor characteristics evaluated except for tumors <1.1 cm, for which no association was present. The inverse association was stronger for larger tumors, particularly for women <55 years (p-trend <0.01). Also among women <55 years, a stronger inverse association with non-dense area was observed for ER- vs. ER+ tumors (p-het = 0.02). Conclusion: These results suggest the strong association we previously observed of high percent MD and ER-negative disease in women <55 years could be explained by the low amount of non-dense area in these women. Further research is warranted to clarify the possible differential associations of absolute dense and non-dense area on breast cancer risk according to tumor characteristics. Citation Format: Kimberly A. Bertrand, Christopher G. Scott, Rulla M. Tamimi, Matthew R. Jensen, V. Shane Pankratz, Aaron Norman, John Shepherd, Yunn-Yi Chen, Karla Kerlikowske, Celine M. Vachon. Dense and non-dense mammographic area and risk of breast cancer by age and tumor characteristics. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3279. doi:10.1158/1538-7445.AM2014-3279

Abstract Mammographic density measures adjusted for age and body mass index (BMI) are heritable predictors of breast cancer risk, but few mammographic density-associated genetic variants have been identified. Using data for 10,727 women from two international consortia, we estimated associations between 77 common breast cancer susceptibility variants and absolute dense area, percent dense area and absolute nondense area adjusted for study, age, and BMI using mixed linear modeling. We found strong support for established associations between rs10995190 (in the region of ZNF365), rs2046210 (ESR1), and rs3817198 (LSP1) and adjusted absolute and percent dense areas (all P < 10−5). Of 41 recently discovered breast cancer susceptibility variants, associations were found between rs1432679 (EBF1), rs17817449 (MIR1972-2: FTO), rs12710696 (2p24.1), and rs3757318 (ESR1) and adjusted absolute and percent dense areas, respectively. There were associations between rs6001930 (MKL1) and both adjusted absolute dense and nondense areas, and between rs17356907 (NTN4) and adjusted absolute nondense area. Trends in all but two associations were consistent with those for breast cancer risk. Results suggested that 18% of breast cancer susceptibility variants were associated with at least one mammographic density measure. Genetic variants at multiple loci were associated with both breast cancer risk and the mammographic density measures. Further understanding of the underlying mechanisms at these loci could help identify etiologic pathways implicated in how mammographic density predicts breast cancer risk. Cancer Res; 75(12); 2457–67. ©2015 AACR.

AbstractObjectiveUsing a large prospective cohort of women age 40 or younger diagnosed with breast cancer, we examined the relationship between perceived partner support and anxiety.MethodsSix hundred seventy‐five young women with breast cancer Stages I–III, median age 36, completed a self‐report baseline questionnaire. Perceived partner support was assessed using items extracted from the marital subscale of the Cancer Rehabilitation Evaluation System; generalized social support was assessed with the Medical Outcomes Study–Social Support Survey. Anxiety was measured using the anxiety subscale of the Hospital Anxiety and Depression Scale. Multivariable logistic regression analyses evaluated the association between partner support, other sociodemographic factors, and anxiety.ResultsMean age at diagnosis was 35.4 years. Fourteen percent of the women were not partnered, and among those who were partnered or in a significant relationship, 20% were categorized as unsupported. In univariate and multivariable analysis adjusting for sociodemographic factors, women in an unsupported‐partnered relationship had higher odds of anxiety symptoms compared with women in a supported‐partnered relationship. Young age and being financially insecure were also both independently associated with anxiety.ConclusionsOur findings suggest that partner support may play a key role in a young woman's adjustment to a serious stressor such as breast cancer. In addition, younger age increases vulnerability to anxiety as does struggling with finances. Because supportive efforts of a partner have potential to protect against the impact of stress, interventions to enhance partner support and reduce anxiety might be beneficial to address challenges experienced as a couple in this setting. Copyright © 2015 John Wiley & Sons, Ltd.

Abstract Background: Mammographic density (MD) is a strong breast cancer risk factor. We previously reported associations of percent mammographic density (PMD) with larger and node-positive tumors across all ages, and estrogen receptor (ER)–negative status among women ages <55 years. To provide insight into these associations, we examined the components of PMD [dense area (DA) and nondense area (NDA)] with breast cancer subtypes. Methods: Data were pooled from six studies including 4,095 breast cancers and 8,558 controls. DA and NDA were assessed from digitized film-screen mammograms and standardized across studies. Breast cancer odds by density phenotypes and age according to histopathologic characteristics and receptor status were calculated using polytomous logistic regression. Results: DA was associated with increased breast cancer risk [OR for quartiles: 0.65, 1.00 (Ref), 1.22, 1.55; Ptrend <0.001] and NDA was associated with decreased risk [ORs for quartiles: 1.39, 1.00 (Ref), 0.88, 0.72; Ptrend <0.001] across all ages and invasive tumor characteristics. There were significant trends in the magnitude of associations of both DA and NDA with breast cancer by increasing tumor size (Ptrend < 0.001) but no differences by nodal status. Among women <55 years, DA was more strongly associated with increased risk of ER+ versus ER− tumors (Phet = 0.02), while NDA was more strongly associated with decreased risk of ER− versus ER+ tumors (Phet = 0.03). Conclusions: DA and NDA have differential associations with ER+ versus ER− tumors that vary by age. Impact: DA and NDA are important to consider when developing age- and subtype-specific risk models. Cancer Epidemiol Biomarkers Prev; 24(5); 798–809. ©2015 AACR.

Abstract Percent mammographic breast density (PMD) is a strong heritable risk factor for breast cancer. However, the pathways through which this risk is mediated are still unclear. To explore whether PMD and breast cancer have a shared genetic basis, we identified genetic variants most strongly associated with PMD in a published meta-analysis of five genome-wide association studies (GWAS) and used these to construct risk scores for 3,628 breast cancer cases and 5,190 controls from the UK2 GWAS of breast cancer. The signed per-allele effect estimates of single-nucleotide polymorphisms (SNP) were multiplied with the respective allele counts in the individual and summed over all SNPs to derive the risk score for an individual. These scores were included as the exposure variable in a logistic regression model with breast cancer case–control status as the outcome. This analysis was repeated using 10 different cutoff points for the most significant density SNPs (1%–10% representing 5,222–50,899 SNPs). Permutation analysis was also conducted across all 10 cutoff points. The association between risk score and breast cancer was significant for all cutoff points from 3% to 10% of top density SNPs, being most significant for the 6% (2-sided P = 0.002) to 10% (P = 0.001) cutoff points (overall permutation P = 0.003). Women in the top 10% of the risk score distribution had a 31% increased risk of breast cancer [OR = 1.31; 95% confidence interval (CI), 1.08–1.59] compared with women in the bottom 10%. Together, our results show that PMD and breast cancer have a shared genetic basis that is mediated through a large number of common variants. Cancer Res; 72(6); 1478–84. ©2012 AACR.