Associations of hair dye and relaxer use with breast tumor clinicopathologic features: Findings from the Women's circle of Health Study.

BACKGROUND: Building upon our earlier findings of significant associations between hair dye and relaxer use with increased breast cancer risk, we evaluated associations of select characteristics of use with breast tumor clinicopathology. METHODS: Using multivariable-adjusted models we examined the associations of interest in a case-only study of 2998 women with breast cancer, overall and stratified by race and estrogen receptor (ER) status, addressing multiple comparisons using Bonferroni correction. RESULTS: Compared to salon application of permanent hair dye, home kit and combination application (both salon and home kit application) were associated with increased odds of poorly differentiated tumors in the overall sample. This association was consistent among Black (home kit: OR 2.22, 95 % CI: 1.21-5.00; combination: OR 2.46, 95 % CI: 1.21-5.00), but not White women, and among ER+ (home kit: OR 1.47, 95 % CI: 0.82-2.63; combination: OR 2.98, 95 % CI: 1.62-5.49) but not ER-cases. Combination application of relaxers was associated with increased odds of tumors >2.0 cm vs. <1.0 cm (OR = 1.82, 95 % CI: 1.23-2.69). Longer duration and earlier use of relaxers and combination application of permanent hair dyes and relaxers were associated with breast tumor features including higher tumor grade and larger tumor size, which often denote more aggressive phenotypes, although the findings did not maintain significance with Bonferroni correction. CONCLUSIONS: These novel data support reported associations between hair dye and relaxer use with breast cancer, showing for the first time, associations with breast tumor clinicopathologic features. Improved hair product exposure measurement is essential for fully understanding the impact of these environmental exposure with breast cancer and to guide risk reduction strategies in the future.

Gene expression of adipokines and adipokine receptors in the tumor microenvironment: associations of lower expression with more aggressive breast tumor features.

PURPOSE: Limited epidemiologic data are available on the expression of adipokines leptin (LEP) and adiponectin (ADIPOQ) and adipokine receptors (LEPR, ADIPOR1, ADIPOR2) in the breast tumor microenvironment (TME). The associations of gene expression of these biomarkers with tumor clinicopathology are not well understood. METHODS: NanoString multiplexed assays were used to assess the gene expression levels of LEP, LEPR, ADIPOQ, ADIPOR1, and ADIPOR2 within tumor tissues among 162 Black and 55 White women with newly diagnosed breast cancer. Multivariate mixed effects models were used to estimate associations of gene expression with breast tumor clinicopathology (overall and separately among Blacks). RESULTS: Black race was associated with lower gene expression of LEPR (P = 0.002) and ADIPOR1 (P = 0.01). Lower LEP, LEPR, and ADIPOQ gene expression were associated with higher tumor grade (P = 0.0007, P < 0.0001, and P < 0.0001, respectively) and larger tumor size (P < 0.0001, P = 0.0005, and P < 0.0001, respectively). Lower ADIPOQ expression was associated with ER- status (P = 0.0005), and HER2-enriched (HER2-E; P = 0.0003) and triple-negative (TN; P = 0.002) subtypes. Lower ADIPOR2 expression was associated with Ki67+ status (P = 0.0002), ER- status (P < 0.0001), PR- status (P < 0.0001), and TN subtype (P = 0.0002). Associations of lower adipokine and adipokine receptor gene expression with ER-, HER2-E, and TN subtypes were confirmed using data from The Cancer Genome Atlas (P-values < 0.005). CONCLUSION: These findings suggest that lower expression of ADIPOQ, ADIPOR2, LEP, and LEPR in the breast TME might be indicators of more aggressive breast cancer phenotypes. Validation of these findings are warranted to elucidate the role of the adipokines and adipokine receptors in long-term breast cancer prognosis.

Patterns of chronic disease management and health outcomes in a population-based cohort of Black women with breast cancer.

PURPOSE: Diabetes and hypertension are two common comorbidities that affect breast cancer patients, particularly Black women. Disruption of chronic disease management during cancer treatment has been speculated. Therefore, this study examined the implementation of clinical practice guidelines and health outcomes for these comorbidities before and during cancer treatment. METHODS: We used a population-based, prospective cohort of Black women diagnosed with breast cancer (2012-2016) in New Jersey (n = 563). Chronic disease management for diabetes and hypertension was examined 12 months before and after breast cancer diagnosis and compared using McNemar's test for matched paired and paired t tests. RESULTS: Among this cohort, 18.1% had a co-diagnosis of diabetes and 47.2% had a co-diagnosis of hypertension. Implementation of clinical practice guidelines and health outcomes that differed in the 12 months before and after cancer diagnosis included lipid screening (64.5% before versus 50.0% after diagnosis; p = 0.004), glucose screening (72.7% versus 90.7%; p < 0.001), and blood pressure control < 140/90 mmHg (57.6% versus 71.5%; p = 0.004) among patients with hypertension-only. For patients with diabetes, eye and foot care were low (< 35%) and optimal HbA1c < 8.0% was achieved for less than 50% of patients in both time periods. CONCLUSION: Chronic disease management continued during cancer treatment; however, eye and foot exams for patients with diabetes and lipid screening for patients with hypertension-only were inadequate. Given that comorbidities may account for half of the Black-White breast cancer survival disparity, strategies are needed to improve chronic disease management during cancer, especially for Black women who bear a disproportionate burden of chronic diseases.

Comorbidity Management in Black Women Diagnosed with Breast Cancer: the Role of Primary Care in Shared Care.

BACKGROUND: Black women are more likely to have comorbidity at breast cancer diagnosis compared with White women, which may account for half of the Black-White survivor disparity. Comprehensive disease management requires a coordinated team of healthcare professionals including primary care practitioners, but few studies have examined shared care in the management of comorbidities during cancer care, especially among racial/ethnic minorities. OBJECTIVE: To examine whether the type of medical team composition is associated with optimal clinical care management of comorbidities. DESIGN: We used the Women's Circle of Health Follow-up Study, a population-based cohort of Black women diagnosed with breast cancer. The likelihood of receiving optimal comorbidity management after breast cancer diagnosis was compared by type of medical team composition (shared care versus cancer specialists only) using binomial regression. PARTICIPANTS: Black women with a co-diagnosis of diabetes and/or hypertension at breast cancer diagnosis between 2012 and 2016 (N = 274). MAIN MEASURES: Outcome-optimal clinical care management of diabetes (i.e., A1C test, LDL-C test, and medical attention for nephropathy) and hypertension (i.e., lipid screening and prescription for hypertension medication). Main predictor-shared care, whether the patient received care from both a cancer specialist and a primary care provider and/or a medical specialist within the 12 months following a breast cancer diagnosis. KEY RESULTS: Primary care providers were the main providers involved in managing comorbidities and 90% of patients received shared care during breast cancer care. Only 54% had optimal comorbidity management. Patients with shared care were five times (aRR: 4.62; 95% CI: 1.66, 12.84) more likely to have optimal comorbidity management compared with patients who only saw cancer specialists. CONCLUSIONS: Suboptimal management of comorbidities during breast cancer care exists for Black women. However, our findings suggest that shared care is more beneficial at achieving optimal clinical care management for diabetes and hypertension than cancer specialists alone.

Prevalence, risk factors, and trajectories of sleep disturbance in a cohort of African-American breast cancer survivors.

PURPOSE: Sleep disturbance may be an overlooked modifiable risk factor for health disparities among African-American breast cancer survivors (AABCS). This study aimed to identify the prevalence of and risk factors for sleep disturbance in a cohort of AABCS. METHODS: The study was conducted among participants in the Women's Circle of Health Follow-up Study, a longitudinal study of breast cancer in 10 counties in New Jersey. Cases were identified shortly after diagnosis by the New Jersey State Cancer Registry. Self-reported sleep disturbance (Pittsburgh Sleep Quality Index) and other factors (e.g., socioeconomic status, menopausal status) were assessed at pre-diagnosis (n = 637), 10 months post-diagnosis (n = 261), and 24 months post-diagnosis (n = 632). Clinical data were obtained via medical record abstraction, and height and weight were measured by study staff. RESULTS: Most AABCS (57%) reported clinically significant sleep disturbance before diagnosis, and this rate remained largely unchanged at 10 months (53%) and 24 months post-diagnosis (61%). Average sleep disturbance scores indicated clinically significant disturbance at all three assessments (M range = 6.67-7.57). Most reported sleeping fewer than the recommended 7 hours per night at each assessment (range 57-65%). Risk factors for sleep disturbance were identified at each assessment, including pre-diagnosis (less education), 10 months post-diagnosis (lack of insurance, treatment with chemotherapy), and 24 months post-diagnosis (younger age, less education, lower income, obesity, and lymphedema). Treatment with endocrine therapy was a protective factor at 10 months post-diagnosis. CONCLUSION: Most AABCS report clinically significant sleep disturbance from before diagnosis through 24 months post-diagnosis. These rates appear indicate AABCS experience significant sleep-related disparities.

Pathways between objective and perceived neighborhood factors among Black breast cancer survivors.

BACKGROUND: Mounting evidence supports associations between objective neighborhood disorder, perceived neighborhood disorder, and health, yet alternative explanations involving socioeconomic and neighborhood social cohesion have been understudied. We tested pathways between objective and perceived neighborhood disorder, perceived neighborhood social cohesion, and socioeconomic factors within a longitudinal cohort. METHODS: Demographic and socioeconomic information before diagnosis was obtained at interviews conducted approximately 10 months post-diagnosis from participants in the Women's Circle of Health Follow-up Study - a cohort of breast cancer survivors self-identifying as African American or Black women (n = 310). Neighborhood perceptions were obtained during follow-up interviews conducted approximately 24 months after diagnosis. Objective neighborhood disorder was from 9 items audited across 23,276 locations using Google Street View and scored to estimate disorder values at each participant's residential address at diagnosis. Census tract socioeconomic and demographic composition covariates were from the 2010 U.S. Census and American Community Survey. Pathways to perceived neighborhood disorder were built using structural equation modelling. Model fit was assessed from the comparative fit index and root mean square error approximation and associations were reported as standardized coefficients and 95% confidence intervals. RESULTS: Higher perceived neighborhood disorder was associated with higher objective neighborhood disorder (ß = 0.20, 95% CI: 0.06, 0.33), lower neighborhood social cohesion, and lower individual-level socioeconomic factors (final model root mean square error approximation 0.043 (90% CI: 0.013, 0.068)). Perceived neighborhood social cohesion was associated with individual-level socioeconomic factors and objective neighborhood disorder (ß = - 0.11, 95% CI: - 0.24, 0.02). CONCLUSION: Objective neighborhood disorder might be related to perceived disorder directly and indirectly through perceptions of neighborhood social cohesion.

Immunohistochemical analysis of adipokine and adipokine receptor expression in the breast tumor microenvironment: associations of lower leptin receptor expression with estrogen receptor-negative status and triple-negative subtype.

BACKGROUND: The molecular mechanisms underlying the association between increased adiposity and aggressive breast cancer phenotypes remain unclear, but likely involve the adipokines, leptin (LEP) and adiponectin (ADIPOQ), and their receptors (LEPR, ADIPOR1, ADIPOR2). METHODS: We used immunohistochemistry (IHC) to assess LEP, LEPR, ADIPOQ, ADIPOR1, and ADIPOR2 expression in breast tumor tissue microarrays among a sample of 720 women recently diagnosed with breast cancer (540 of whom self-identified as Black). We scored IHC expression quantitatively, using digital pathology analysis. We abstracted data on tumor grade, tumor size, tumor stage, lymph node status, Ki67, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) from pathology records, and used ER, PR, and HER2 expression data to classify breast cancer subtype. We used multivariable mixed effects models to estimate associations of IHC expression with tumor clinicopathology, in the overall sample and separately among Blacks. RESULTS: Larger proportions of Black than White women were overweight or obese and had more aggressive tumor features. Older age, Black race, postmenopausal status, and higher body mass index were associated with higher LEPR IHC expression. In multivariable models, lower LEPR IHC expression was associated with ER-negative status and triple-negative subtype (P < 0.0001) in the overall sample and among Black women only. LEP, ADIPOQ, ADIPOR1, and ADIPOR2 IHC expression were not significantly associated with breast tumor clinicopathology. CONCLUSIONS: Lower LEPR IHC expression within the breast tumor microenvironment might contribute mechanistically to inter-individual variation in aggressive breast cancer clinicopathology, particularly ER-negative status and triple-negative subtype.

Pre-diagnostic allostatic load and health-related quality of life in a cohort of Black breast cancer survivors.

PURPOSE: To determine the association of pre-diagnostic allostatic load (AL) with health-related quality of life (HRQOL) among Black women with breast cancer. METHODS: In a sample of 409 Black women with non-metastatic breast cancer enrolled in the Women's Circle of Health Follow-Up Study (WCHFS), two pre-diagnostic AL measures were estimated using medical records data from up to 12 months prior to breast cancer diagnosis: AL-lipid/metabolic profile-based measure and AL-inflammatory profile-based measure. HRQOL was assessed approximately 24 months post diagnosis, using the Functional Assessment of Cancer Therapy-Breast Cancer (FACT-B) instrument, including 5 subscale scores [presented by physical well-being (PWB), social & family well-being (SFWB), emotional well-being (EWB), functional well-being (FWB), and breast cancer-specific scale (BCS)] and 3 derived total scores [presented by trial outcome index (TOI), Functional Assessment of Cancer Therapy-General (FACT-G) and FACT-B]. We used multivariable logistic regression models, using dichotomized AL scores (lower AL: 0-3 points, higher AL: 4-8 points), to assess the associations between the two pre-diagnostic AL measures and HRQOL. RESULTS: Higher pre-diagnostic AL was associated with poorer FWB and lower FACT-G, but these associations were statistically significant for the AL-inflammatory profile-based measure (FWB: OR 1.63, 95% CI 1.04, 2.56; FACT-G: OR 1.62, 95% CI 1.04, 2.54), but not the AL-lipid/metabolic profile-based measure (FWB: OR 1.45, 95% CI 0.81, 2.59; FACT-G: OR 1.33, 95% CI 0.75, 2.37). CONCLUSION: These findings suggest that higher AL, particularly when measured using the inflammatory profile-based measure, was associated with poorer HRQOL, namely FWB and FACT-G, among Black breast cancer survivors.

Evaluating unplanned readmission and prolonged length of stay following minimally invasive surgery for endometrial cancer.

OBJECTIVE: To evaluate risk factors for 30-day unplanned readmission and increased length of stay (LOS) following minimally invasive surgery (MIS) for endometrial cancer. METHODS: This was a retrospective, case-control study using the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP). Multivariable logistic regression was used to assess perioperative variables associated with readmission and increased LOS after MIS for endometrial cancer. RESULTS: The study population included 10,840 patients who met the criteria of having undergone MIS with a resultant endometrial malignancy confirmed on postoperative pathology. Common reasons for readmission included organ/space surgical site infection (65 cases), sepsis/septic shock (19 cases), and venous thromboembolism (20 cases). Notable risk factors for readmission included (Odds Ratio, Confidence Interval, p-value): dialysis dependence (6.77, 2.51-17.80, <0.01), increased length of stay (3.00, 2.10-4.10, <0.01), and preoperative weight loss (2.80, 1.06-7.17, 0.03); notable risk factors for increased LOS: ascites (8.51, 2.00-36.33, <0.01), operation duration >5 h (6.93, 5.29-9.25, <0.01), and preoperative blood transfusion (5.37, 2.05-14.04, <0.01). CONCLUSIONS: Identification of risk factors for adverse postoperative outcomes is necessary to inform and improve standards of care in MIS for endometrial cancer. Using nationally reported data from the ACS NSQIP, this study identifies independent risk factors for unplanned readmission and prolonged LOS, and in doing so, highlights potential avenues for quality improvement.

Hair product use and breast cancer risk among African American and White women.

Exposures to carcinogens in hair products have been explored as breast cancer risk factors, yielding equivocal findings. We examined hair product use (hair dyes, chemical relaxers and cholesterol or placenta-containing conditioners) among African American (AA) and White women, and explored associations with breast cancer. Multivariable-adjusted models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) to describe the associations of interest among 2280 cases (1508 AA and 772 White) and 2005 controls (1290 AA and 715 White). Among controls, hair dye use was more common among Whites than AAs (58 versus 30%), while relaxer (88 versus 5%) and deep conditioner use (59 versus 6%) was more common among AAs. Among AAs, use of dark hair dye shades was associated with increased breast cancer risk (OR = 1.51, 95% CI: 1.20-1.90) and use of dark shades (OR = 1.72, 95% CI: 1.30-2.26) and higher frequency of use (OR = 1.36, 95% CI: 1.01-1.84) were associated with ER+ disease. Among Whites, relaxer use (OR = 1.74, 95% CI: 1.11-2.74) and dual use of relaxers and hair dyes (OR = 2.40, 95% CI: 1.35-4.27) was associated with breast cancer; use of dark hair dyes was associated with increased ER+ disease (OR = 1.54, 95% CI: 1.01-2.33), and relaxer use was associated with increased ER- disease (OR = 2.56, 95% CI: 1.06-6.16). These novel findings provide support a relationship between the use of some hair products and breast cancer. Further examinations of hair products as important exposures contributing to breast cancer carcinogenesis are necessary.

Diagnosis and treatment delays among elderly breast cancer patients with pre-existing mental illness.

PURPOSE: This study aimed to compare diagnosis and treatment delays in elderly breast cancer patients with and without pre-existing mental illness. METHODS: A retrospective cohort study was conducted using the Surveillance, Epidemiology and End Results-Medicare data including 16,636 women 68+ years, who were diagnosed with stage I-IIIa breast cancer in the United States from 2005 to 2007. Mental illness was identified using International Classification of Diseases, Ninth Revision, Clinical Modification codes recorded on inpatient and outpatient claims during the 3 years prior to breast cancer diagnosis. Patients were classified as having no mental illness, anxiety, depression, anxiety and depression, or severe mental illness (bipolar disorder, schizophrenia, and other psychotic disorder). Multivariable binomial regression was used to assess the association between mental illness and delays of ≥60 and ≥90 days after adjustment for confounders. RESULTS: Patients with comorbid anxiety and depression had an increased risk for diagnosis delay of ≥90 days from symptom recognition (RR 1.11; 95% CI 1.00, 1.23), and those with severe mental illness had an increased risk for initial treatment delay of ≥60 days from diagnosis (RR 1.36; 95% CI 1.06, 1.74). Patients with any mental illness experienced an increased risk for adjuvant chemotherapy delay of ≥90 days from last operation (RR 1.13; 95% CI 1.01, 1.26) and each category of mental illness, except depression, showed a non-significant trend for this association. CONCLUSION: Breast cancer patients with mental illness should be closely managed by a cross-functional care team, including a psychiatrist, a primary care physician, and an oncologist, to ensure adequate care is received within an appropriate timeframe.

FOXA1 hypermethylation: link between parity and ER-negative breast cancer in African American women?

BACKGROUND: Reproductive factors, particularly parity, have differential effects on breast cancer risk according to estrogen receptor (ER) status, especially among African American (AA) women. One mechanism could be through DNA methylation, leading to altered expression levels of genes important in cell fate decisions. METHODS: Using the Illumina 450K BeadChip, we compared DNA methylation levels in paraffin-archived tumor samples from 383 AA and 350 European American (EA) women in the Women's Circle of Health Study (WCHS). We combined 450K profiles with RNA-seq data and prioritized genes based on differential methylation by race, correlation between methylation and gene expression, and biological function. We measured tumor protein expression and assessed its relationship to DNA methylation. We evaluated associations between reproductive characteristics and DNA methylation using linear regression. RESULTS: 410 loci were differentially methylated by race, with the majority unique to ER- tumors. FOXA1 was hypermethylated in tumors from AA versus EA women with ER- cancer, and increased DNA methylation correlated with reduced RNA and protein expression. Importantly, parity was positively associated with FOXA1 methylation among AA women with ER- tumors (P = 0.022), as was number of births (P = 0.026), particularly among those who did not breastfeed (P = 0.008). These same relationships were not observed among EA women, although statistical power was more limited. CONCLUSIONS: Methylation and expression of FOXA1 is likely impacted by parity and breastfeeding. Because FOXA1 regulates a luminal gene expression signature in progenitor cells and represses the basal phenotype, this could be a mechanism that links these reproductive exposures with ER- breast cancer.

Racial differences in the effects of comorbidity on breast cancer-specific survival.

PURPOSE: In an effort to explain racial disparities in breast cancer survival, this study aimed to investigate how comorbidity affects breast cancer-specific mortality by race. METHODS: A retrospective cohort study was conducted using the Surveillance, Epidemiology and End Results-Medicare linked data including 68,090 women 66+ years, who were diagnosed with stage I-III breast cancer in the United States from 1994 to 2004. Hospital and outpatient claims from the year prior to breast cancer diagnosis were used to identify comorbid conditions and patients were followed for survival through 2010. RESULTS: Competing risk survival analysis failed to demonstrate any negative comorbidity effects on breast cancer-specific survival for black women. An increased breast cancer-specific mortality hazard was observed for white women who had diabetes without complication relative to white women without this condition after adjusting for age and year of diagnosis (hazard ratio: 1.22, 95% confidence interval 1.13, 1.30). The Cochran-Armitage Test showed diabetes was associated with a later stage of diagnosis (p < 0.01) and a more aggressive tumor grade (p < 0.01) among white women in the study population. CONCLUSION: Race specific comorbidity effects do not explain breast cancer-specific survival disparities. However, the relationship between diabetes and breast cancer, including the role of aggressive tumor characteristics, warrants special attention.

Effects of breast cancer on chronic disease medication adherence among older women.

PURPOSE: The purpose of this study was to determine the effects of breast cancer on chronic disease medication adherence among older women. METHODS: The Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked data and a 5% random sample of Medicare enrollees were used. Stage I-III breast cancer patients diagnosed in 2008 and women without cancer were eligible. Three cohorts of medication users 66+ years were identified using diagnosis codes and prescription fill records: diabetes, hypertension, and lipid disorders. For each cohort, breast cancer patients were frequency matched to comparison women by age and geographic area. Medication adherence was measured by the proportion of days covered and medication persistence. RESULTS: During the post-baseline period, the percentage of breast cancer patients who were non-adherent was 26.2% for diabetes medication, 28.9% for lipid-lowering medication, and 14.2% for hypertension medication. Breast cancer patients experienced an increased odds of diabetes medication non-adherence [odds ratio (OR) = 1.44; 95% confidence interval (CI) = 1.07 to 1.95] and were more likely to be non-persistent with diabetes medication (hazard ratio = 1.31; 95%CI: 1.04 to 1.66) relative to women without cancer. The study failed to show a difference between breast cancer and comparison women in the odds of non-adherence to hypertensive (OR = 0.87; 95%CI: 0.71 to 1.05) or lipid-lowering medication (OR = 0. 91; 95%CI: 0.73 to 1.13) with a proportion of days covered threshold of 80%. CONCLUSION: Special attention should be given to the coordination of primary care for older breast cancer patients with diabetes. Copyright © 2016 John Wiley & Sons, Ltd.

Associations between sociodemographic and clinicopathological factors and breast cancer subtypes in a population-based study.

PURPOSE: This study examines the factors distinguishing breast cancer (BC) subtypes. METHODS: We examined subtypes in 629 women with invasive BC, diagnosed from 2006 to 2012, and enrolled in an epidemiological study in New Jersey. Using molecular characteristics from pathology reports, BCs were categorized as luminal A, luminal B, non-luminal HER2-expressing, or triple-negative breast cancer (TNBC) subtypes. Multinomial logistic models (luminal A as referent) were used to describe BC subtype associations. RESULTS: Women with luminal B tumors were more likely to be younger at diagnosis [odds ratio (OR) 1.8, 95% confidence interval (CI) 1.0-3.4] and to have higher-grade (OR 2.6, 95% CI 1.5-4.7), larger (OR 1.9, 95% CI 1.0-3.6), and Ki67-positive tumors (OR 2.1, 95% CI 1.1-4.0). Women with non-luminal HER2-expressing BCs were more likely to have higher-grade tumors (OR 14.5, 95% CI 5.3-39.7). Women with TNBCs were more likely to be African-American (OR 1.9, 95% CI 1.0-3.4) and to have higher-grade (OR 9.7, 95% CI 5.1-18.4), larger (OR 2.2, 95% CI 1.0-4.8), and Ki67-positive (OR 2.9, 95% CI 1.6-5.2) tumors. Notably, compared to the luminal A subtype, luminal B, non-luminal HER2-expressing, and triple-negative subtypes were more frequently self-detected; however, these associations were attenuated in multivariable models. CONCLUSIONS: These findings suggest that some BC subtypes were associated with features denoting more aggressive phenotypes, namely higher grade, larger size, and Ki67 positivity, and possibly patient self-detection among some women. These findings highlight a need for enhanced screening, particularly among younger women, racial/ethnic minorities, and lower socioeconomic subgroups.

Effect of travel distance and time to radiotherapy on likelihood of receiving mastectomy.

BACKGROUND: Breast-conserving surgery (BCS) followed by adjuvant radiation therapy (RT) is the standard of care for women with early-stage breast cancer as an alternative to mastectomy. The purpose of this study was to examine the relationship between receipt of mastectomy and travel distance and time to RT facility in New Jersey (NJ). METHODS: Data were collected from a cohort of 634 NJ women diagnosed with early-stage breast cancer. In patients receiving RT, the precise RT facility was used, whereas in patients not receiving RT, surgeons were contacted to determine the location of RT referral. Travel distance and time to RT facility from the patients' residential address were modeled separately using multiple binomial regression to examine their association with choice of surgery while adjusting for clinical and sociodemographic factors. RESULTS: Overall, 58.5 % patients underwent BCS with median travel distance to the radiation facility of 4.8 miles (vs. 6.6 miles for mastectomy) and median travel time of 12.0 min (vs. 15.0 min for mastectomy). Patients residing > 9.2 miles compared with ≤ 9.2 miles from radiation facility were 44 % more likely to receive mastectomy. Additionally, patients requiring > 19 min compared with ≤ 19 min of travel time were 36 % more likely to receive mastectomy. CONCLUSIONS: These data found that travel distance and time from RT facility act as barriers to undergoing BCS in women with early-stage breast cancer. Despite being in an urban region, a significant number of women in NJ with early-stage breast cancer did not receive BCS.

Role of preoperative magnetic resonance imaging in the surgical management of early-stage breast cancer.

PURPOSE: To examine the role of preoperative magnetic resonance imaging (pMRI) on time to surgery and rates of reoperation and contralateral prophylactic mastectomy (CPM) using a population-based study of New Jersey breast cancer patients. METHODS: The study included 289 African-American and 320 white women who participated in the Breast Cancer Treatment Disparity Study and underwent breast surgery for newly diagnosed early-stage breast cancer between 2005 and 2010. Patients were identified through rapid case ascertainment by the New Jersey State Cancer Registry. Association between pMRI and time to surgery was examined by using linear regression and, with reoperation and CPM, by using binomial regression. RESULTS: Half (49.9 %) of the study population received pMRI, with higher use for whites compared with African-Americans (62.5 vs. 37.5 %). After adjusting for potential confounders, patients with pMRI versus those without experienced significantly longer time to initial surgery [geometric mean = 38.7 days; 95 % confidence interval (CI) 34.8-43.0; vs. 26.5 days; 95 % CI 24.3-29.0], a significantly higher rate of CPM [relative risk (RR) = 1.82; 95 % CI 1.06-3.12], and a nonsignificantly lower rate of reoperation (RR = 0.76; 95 % CI 0.54-1.08). CONCLUSIONS: Preoperative MRI was associated with significantly increased time to surgery and a higher rate of CPM, but it did not affect the rate of reoperation. Physicians and patients should consider these findings when making surgical decisions on the basis of pMRI findings.

Neighborhood Archetypes and Cardiovascular Health in Black Breast Cancer Survivors.

Background: Maintaining cardiovascular health (CVH) is critical for breast cancer (BC) survivors, particularly given the potential cardiotoxic effects of cancer treatments. Poor CVH among Black BC survivors may be influenced by various area-level social determinants of health, yet the impact of neighborhood archetypes in CVH among this population remains understudied. Objectives: This study aimed to characterize the neighborhood archetypes where Black BC survivors resided at diagnosis and evaluate their associations with CVH. Methods: We assessed CVH 24 months post-diagnosis in 713 participants diagnosed between 2012 and 2017 in the Women's Circle of Health Follow-Up Study, a population-based study of Black BC survivors in New Jersey. Neighborhood archetypes, identified via latent class analysis based on 16 social and built environment features, were categorized into tertiles. Associations between neighborhood archetypes and CVH scores were estimated using polytomous logistic regression. Results: CVH scores were assessed categorically (low, moderate, and optimal) and as continuous variables. On average, Black BC survivors achieved only half of the recommended score for optimal CVH. Among the 4 identified archetypes, women in the Mostly Culturally Black and Hispanic/Mixed Land Use archetype showed the lowest CVH scores. Compared to this archetype, Black BC survivors in the Culturally Diverse/Mixed Land Use archetype were nearly 3 times as likely to have optimal CVH (relative risk ratio: 2.92; 95% CI: 1.58-5.40), with a stronger association observed in younger or premenopausal women. No significant CVH differences were noted for the other 2 archetypes with fewer built environment features. Conclusions: Neighborhood archetypes, integrating social and built environment factors, may represent crucial targets for promoting CVH among BC survivors.

Consumption of sugary foods and drinks and risk of endometrial cancer.

Consumption of foods high in sugar promotes insulin production, which has been linked to endometrial carcinogenesis. We evaluated the impact of dietary intake of sugary foods and beverages, as well as added sugar and total sugar on endometrial cancer risk in a population-based case-control study, including 424 cases and 398 controls. Participants completed an interview and food frequency questionnaire, and provided self-recorded waist and hip measurements. Women in the highest quartile of added sugar intake had significantly increased endometrial cancer risk (OR = 1.84, 95% CI 1.16-2.92). Among women with waist-to-hip ratio ≥0.85, risk was significantly higher for the highest versus lowest tertile of added sugar intakes (OR = 2.50, 95% CI 1.38-4.52). The association with added sugar also became stronger when analyses were restricted to never users of hormone replacement therapy (OR = 2.03; 95% CI 1.27-3.26, for highest versus lowest tertile). There was little evidence of effect modification by body mass index or physical activity. Given the high prevalence of intake of sugary foods and drinks in Western populations, additional research is warranted to confirm our findings on endometrial cancer.

Racial disparities in red meat and poultry intake and breast cancer risk.

PURPOSE: Research on the role of red meat and poultry consumption in breast carcinogenesis is inconclusive, but the evidence in African-American (AA) women is lacking. The association between consuming meat and breast cancer risk was examined in the Women's Circle of Health Study involving 803 AA cases, 889 AA controls, 755 Caucasian cases, and 701 Caucasian controls. METHODS: Dietary information was collected using a Food Frequency Questionnaire. Odds ratios (OR) and 95 % confidence intervals (CI) were obtained from logistic regression models adjusting for potential covariates. RESULTS: Comparing the fourth versus the first quartiles, among Caucasian women, processed meat (OR = 1.48; 95 % CI 1.07-2.04), unprocessed red meat (OR = 1.40; 95 % CI 1.01-1.94), and poultry intakes (OR = 1.42; 95 % CI 1.01-1.99) increased breast cancer risk. Risk associated with poultry intake was more dominant in premenopausal women (OR = 2.33; 95 % CI 1.44-3.77) and for women with ER- tumors (OR = 2.55; 95 % CI 1.29-5.03) in the Caucasian group. Associations in AA women were mostly null except for a significant increased risk trend with processed meat consumption for ER+ tumors (OR = 1.36; 95 % CI 0.94-1.97, p trend = 0.04). CONCLUSIONS: Overall, associations between breast cancer risk and consumption of red meat and poultry were of different magnitude in AA and Caucasian women, with further differences noted by menopausal and hormone receptor status in Caucasian women. This is the first study to examine racial differences in meat and breast cancer risk and represents some of the first evidence in AA women.