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Breast cancer chemoprevention with selective estrogen receptor modulators (SERM) or aromatase inhibitors (AI) remains underutilized among high-risk women. A potential barrier to chemoprevention is competing comorbidities such as atherosclerotic cardiovascular disease (ASCVD), due to concern for additional medication side effects. We conducted a retrospective cohort study among women with atypical hyperplasia (AH) or lobular carcinoma in situ (LCIS), an important target population for chemoprevention. We compared risks for breast cancer and ASCVD, as well as use of SERMs/AIs versus statins among high-risk women (defined as a 5-year invasive breast cancer risk ≥1.67% and 10-year ASCVD risk ≥7.5%, respectively). We used clinical data extracted from the electronic health record to calculate breast cancer risk according to the Breast Cancer Surveillance Consortium model and ASCVD risk according to the 2013 American College of Cardiology/American Heart Association risk calculator. Among 298 evaluable women, mean age was 58.2 years (SD, 8.34), with 33% non-Hispanic White, 41% Hispanic, 9% non-Hispanic Black, 6% Asian, and 11% other/unknown race/ethnicity. About 98% of women met high-risk criteria for breast cancer, whereas 30% were high-risk for ASCVD. Mean 10-year risk of breast cancer was higher than mean 10-year risk of ASCVD (9.14% vs. 6.69%; P < 0.001). Among women who met high-risk criteria for both diseases, use of statins was higher compared with SERMs/AIs (58% vs. 21%; P < 0.001). Among women with AH or LCIS, statin use was higher compared with breast cancer chemoprevention among eligible women, despite having a higher mean risk of breast cancer than ASCVD., Prevention Relevance: Among women with high-risk breast lesions, mean absolute risk of breast cancer was higher compared with cardiovascular disease; however, statin use was significantly higher than chemoprevention. To address underutilization of breast cancer chemoprevention, these drugs should be placed in the context of medications used to prevent other chronic diseases., (©2023 American Association for Cancer Research.)

Purpose: COVID-19 has altered healthcare delivery. Previous work has focused on patients with cancer and COVID-19, but little has been reported on healthcare system changes among patients without COVID-19., Methods: We performed a retrospective study of patients with breast cancer (BC) in New York City between February 1, 2020, and April 30, 2020. New patients were included as were patients scheduled to receive intravenous or injectable therapy. Patients with COVID-19 were excluded. Demographic and treatment information were obtained by chart review. Delays and/or changes in systemic therapy, surgery, radiation, and radiology related to the pandemic were tracked, along with the reasons for delay and/or change. Univariate and multivariable analysis were used to identify factors associated with delay and/or change., Results: We identified 350 eligible patients, of whom 149 (42.6%) experienced a delay and/or change, and practice reduction (51.0%) was the most common reason. The patients who identified as Black or African American, Asian, or Other races were more likely to experience a delay and/or change compared with White patients (Black, 44.4%; Asian, 47.1%; Other, 55.6%; White, 31.4%; P = .001). In multivariable analysis, Medicaid compared with commercial insurance (odds ratio [OR], 3.04; 95% CI, 1.32 to 7.27) was associated with increased odds of a delay and/or change, whereas stage II or III BC compared with stage I (OR, 0.38; 95% CI, 0.15 to 0.95; and OR, 0.28; 95% CI, 0.08 to 0.092, respectively) was associated with decreased odds of a delay and/or change., Conclusion: Almost half of the patients with BC without COVID-19 had a delay and/or change. We found racial and socioeconomic disparities in the likelihood of a delay and/or change. Further studies are needed to determine the impact these care alterations have on BC outcomes., Competing Interests: Jason D. WrightConsulting or Advisory Role: Clovis OncologyResearch Funding: MerckPatents, Royalties, Other Intellectual Property: UpToDate Grace A. HillyerResearch Funding: Genentech Kevin KalinskyStock and Other Ownership Interests: Array BioPharma, Pfizer, GRAILConsulting or Advisory Role: bioTheranostics, Lilly, pfizer, Novartis, Eisai, AstraZeneca, Genentech/Roche, Immunomedics, Ipsen, Merck, Seattle GeneticsSpeakers' Bureau: LillyResearch Funding: Incyte, Novartis, Genentech/Roche, Lilly, Pfizer, Calithera Biosciences, Immunomedics, Acetylon Pharmaceuticals, Seattle Genetics, Amgen, Zeno Pharmaceuticals, CytomX TherapeuticsTravel, Accommodations, Expenses: Lilly, AstraZeneca, PfizerOther Relationship: Immunomedics, Genentech Dawn L. HershmanConsulting or Advisory Role: AIM Specialty Health Melissa K. AccordinoHonoraria: Sermo, M3, Charter Oak Research, ExpertConnect, MDoutlook, Medscape, Medscape, M3, Medsurvey, Deerfield Management, OCN, Enterprise Analysis Corporation, Medpanel, Incrowd, Massive BioResearch Funding: TrioOther Relationship: OncliveNo other potential conflicts of interest were reported.

Purpose: Advanced breast cancer (BC) at diagnosis is common in sub-Saharan Africa (SSA), including among women living with HIV (WLWH). In public hospitals across South Africa (SA), 10-15% of women present with stage IV BC, compared to < 5% in the United States (US); 20% of new BC diagnoses in SA are in WLWH. We evaluated the impact of HIV on overall survival (OS) among women with stage IV BC., Methods: We conducted a prospective cohort study of women diagnosed with stage IV BC between February 2, 2015 and September 18, 2019 at six public hospitals in SA. Multivariate Cox regression models were used to estimate the association between HIV status and OS., Results: Among 550 eligible women, 147 (26.7%) were WLWH. Compared to HIV-negative BC patients, WLWH were younger (median age 45 vs. 60 years, p < 0.001), predominantly black (95.9% vs. 77.9%, p < 0.001), and more likely to have hormone receptor-negative (hormone-negative) BC (32.7% vs. 22.6%, p = 0.016). Most women received systemic cancer-directed therapy (80.1%). HIV status was not associated with treatment or OS (Hazard Ratio (HR) 1.13 [95%CI 0.89-1.44]). On exploratory subgroup analysis, WLWH and hormone-negative BC had shorter OS compared to HIV-uninfected women (1-year OS: 27.1% vs. 48.8%, p = 0.003; HR 1.94 [95%CI 1.27-2.94]; p = 0.002), which was not observed for hormone receptor-positive BC., Conclusion: HIV status was not associated with worse OS in women with stage IV BC in SA and cannot account for the poor survival in this cohort. Subgroup analysis revealed that WLWH with hormone-negative BC had worse OS, which warrants further investigation., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Purpose: Patients with cancer are predisposed to developing chronic, comorbid conditions that affect prognosis, quality of life, and mortality. While treatment guidelines and care variations for these comorbidities have been described for the general noncancer population, less is known about real-world treatment patterns in patients with cancer. We sought to characterize the prevalence and distribution of initial treatment patterns across a large-scale data network for depression, hypertension, and type II diabetes mellitus (T2DM) among patients with cancer., Methods: We used the Observational Health Data Sciences and Informatics network, an international collaborative implementing the Observational Medical Outcomes Partnership Common Data Model to standardize more than 2 billion patient records. For this study, we used 8 databases across 3 countries-the United States, France, and Germany-with 295,529,655 patient records. We identified patients with cancer using SNOMED (Systematized Nomenclature of Medicine) codes validated via manual review. We then characterized the treatment patterns of these patients initiating treatment of depression, hypertension, or T2DM with persistent treatment and at least 365 days of observation., Results: Across databases, wide variations exist in treatment patterns for depression (n = 1,145,510), hypertension (n = 3,178,944), and T2DM (n = 886,766). When limited to 6-node (6-drug) sequences, we identified 61,052 unique sequences for depression, 346,067 sequences for hypertension, and 40,629 sequences for T2DM. These variations persisted across sites, databases, countries, and conditions, with the exception of metformin (73.8%) being the most common initial T2DM treatment. The most common initial medications were sertraline (17.5%) and escitalopram (17.5%) for depression and hydrochlorothiazide (20.5%) and lisinopril (19.6%) for hypertension., Conclusion: We identified wide variations in the treatment of common comorbidities in patients with cancer, similar to the general population, and demonstrate the feasibility of conducting research on patients with cancer across a large-scale observational data network using a common data model.

The United States Preventive Services Taskforce recommends that primary care providers screen patients for an increased risk of carrying a BRCA1 or BRCA2 mutation and refer those who meet family history criteria to genetic counseling. Such screening requires detailed and accurate family history data, which often goes uncollected during a primary care visit due to time constraints, competing priorities, and lack of awareness on behalf of both patients and providers. In order to address these barriers and promote appropriate genetic counseling referral, we developed a user-centered framework that collects and communicates relevant data in order to prepare patients and their primary care providers for an informed discussion on genetic counseling referral. This paper describes this framework and the underlining data schema that makes it possible.

Chemoprevention with antiestrogens could decrease the incidence of invasive breast cancer but uptake has been low among high-risk women in the United States. We have designed a web-based patient-facing decision aid, called RealRisks, to inform high-risk women about the risks and benefits of chemoprevention and facilitate shared decision-making with their primary care provider. We conducted two rounds of usability testing to determine how subjects engaged with and understood the information in RealRisks. A total of 7 English-speaking and 4 Spanish-speaking subjects completed testing. Using surveys, think-aloud protocols, and subject recordings, we identified several themes relating to the usability of RealRisks, specifically in the content, ease of use, and navigability of the application. By conducting studies in two languages with a diverse multi-ethnic population, we were able to implement interface changes to make RealRisks accessible to users with varying health literacy and acculturation.

Purpose: We previously reported an inverse association between flavonoid intake and breast cancer incidence, which has been confirmed by others, but no studies have considered simultaneously potential interactions of flavonoids with multiple genetic polymorphisms involved in biologically relevant pathways (oxidative stress, carcinogen metabolism, DNA repair, and one-carbon metabolism)., Methods: To estimate interaction effects between flavonoids and 13 polymorphisms in these four pathways on breast cancer risk, we used population-based data (n = 875 cases and 903 controls) and several statistical approaches, including conventional logistic regression and semi-Bayesian hierarchical modeling (incorporating prior information on the possible biologic functions of genes), which also provides biologic pathway-specific effect estimates., Results: Compared to the standard multivariate model, the results from the hierarchical model indicate that gene-by-flavonoid interaction estimates are attenuated, but more precise. In the hierarchical model, the average effect of the deleterious versus beneficial gene, controlling for average flavonoid intake in the DNA repair pathway, and adjusted for the three other biologically relevant pathways (oxidative stress, carcinogen metabolism, and one-carbon metabolism), resulted in a 27 % increase risk for breast cancer [odds ratio = 1.27; 95 % confidence interval (CI) = 0.70, 2.29]. However, the CI was wide., Conclusions: Based on results from the semi-Bayesian model, breast cancer risk may be influenced jointly by flavonoid intake and genes involved in DNA repair, but our findings require confirmation.

Purpose: Black women with breast cancer have poorer survival than do white women, but little is known about racial disparities in male breast cancer. We analyzed race and other predictors of treatment and survival among men with stage I-III breast cancer., Patients and Methods: We used the Surveillance, Epidemiology, and End Results (SEER) Medicare database to identify men 65 years of age or older diagnosed with stage I-III breast cancer from 1991 to 2002. Multivariate regression was used to compare those treated with those not treated with either chemotherapy or radiation therapy, adjusting for known clinical and demographic factors. Cox proportional hazards regression models were used to analyze survival., Results: Of 510 male breast cancer cases (456 white, 34 black), 94% underwent mastectomy, 28% received adjuvant chemotherapy, and 29% received radiation therapy. Among those with known hormone receptors, 95% had hormone-sensitive tumors. In a multivariate analysis, chemotherapy was associated with younger age, advanced stage, and hormone receptor-negative tumors. Radiation therapy was associated with younger age and advanced stage. Black men were approximately 50% less likely to undergo consultation with an oncologist and subsequently receive chemotherapy; however, the results did not reach statistical significance. The breast cancer-specific mortality hazard ratio was more than tripled for black versus white men (hazard ratio = 3.29; 95% CI, 1.10 to 9.86)., Conclusion: After adjustment for known clinical, demographic, and treatment factors, there was an association of black race with increased male breast cancer-specific mortality. Although male breast cancer is rare, the reasons for these disparities need to be better understood.