Women of Latin American origin in the United States are more likely to be diagnosed with advanced breast cancer and have a higher risk of mortality than non-Hispanic White women. Studies in U.S. Latinas and Latin American women have reported a high incidence of HER2 positive (þ) tumors; however, the factors contributing to this observation are unknown. Genomewide genotype data for 1,312 patients from the Peruvian Genetics and Genomics of Breast Cancer Study (PEGEN-BC) were used to estimate genetic ancestry. We tested the association between HER2 status and genetic ancestry using logistic and multinomial logistic regression models. Findings were replicated in 616 samples from Mexico and Colombia. Average Indigenous American (IA) ancestry differed by subtype. In multivariate models, the odds of having an HER2 þ tumor increased by a factor of 1.20 with every 10% increase in IA ancestry proportion (95% CI, 1.07-1.35; P ¼ 0.001). The association between HER2 status and IA ancestry was independently replicated in samples from Mexico and Colombia. Results suggest that the high prevalence of HER2 þ tumors in Latinas could be due in part to the presence of population-specific genetic variant(s) affecting HER2 expression in breast cancer. Significance: The positive association between Indigenous American genetic ancestry and HER2 þ breast cancer suggests that the high incidence of HER2 þ subtypes in Latinas might be due to population and subtype-specific genetic risk variants.

Evaluation of multiple community-based approaches to improve Latinas’ breast cancer (BC) screening utilization has resulted in inconsistent findings. Factors contributing to this variation include heterogeneity in approaches (e.g., types of conceptual frameworks) and study quality (e.g., lack of measurement of spillover effects). This pilot study sought to clarify which approach may be most effective by evaluating the relative efficacy of two conceptual approaches using an area-level design with 145 Latinas nonadherent to U.S. Preventive Services Taskforce (USPSTF) BC screening guidelines. Each study arm included identical intervention format and duration (e.g., three group-based sessions, logistic assistance (LA) via five monthly calls and referral to free/low-cost screening programs). However, study content differed. While educate+LA addressed participants’ BC prevention and screening behavior, empower+LA addressed participants’ and their social networks’ BC screening. After adjusting for age, insurance status, and baseline mammography intention, when compared with educate+LA participants, empower+LA participants were more likely to report obtaining mammograms, engaging more individuals about BC, initiating BC conversations in public settings, and discussing mammography specifically. Our study has important implications regarding the utility of evaluating behavioral interventions overall in terms of behavioral and spillover network effects.

IntroductionBreast cancer is a heterogeneous disease, and the distribution of the different subtypes varies by race/ethnic category in the United States and by country. Established breast cancer-associated factors impact subtype-specific risk; however, these included limited or no representation of Latin American diversity. To address this gap in knowledge, we report a description of demographic, reproductive, and lifestyle breast cancer-associated factors by age at diagnosis and disease subtype for The Peruvian Genetics and Genomics of Breast Cancer (PEGEN-BC) study.MethodsThe PEGEN-BC study is a hospital-based breast cancer cohort that includes 1943 patients diagnosed at the Instituto Nacional de Enfermedades Neoplásicas in Lima, Peru. Demographic and reproductive information, as well as lifestyle exposures, were collected with a questionnaire. Clinical data, including tumor Hormone Receptor (HR) status and Human Epidermal Growth Factor Receptor 2 (HER2) status, were abstracted from electronic medical records. Differences in proportions and mean values were tested using Chi-squared and one-way ANOVA tests, respectively. Multinomial logistic regression models were used for multivariate association analyses.ResultsThe distribution of subtypes was 52% HR+HER2-, 19% HR+HER2+, 16% HR-HER2-, and 13% HR-HER2+. Indigenous American (IA) genetic ancestry was higher, and height was lower among individuals with the HR-HER2+ subtype (80% IA vs. 76% overall, p=0.007; 152 cm vs. 153 cm overall, p=0.032, respectively). In multivariate models, IA ancestry was associated with HR-HER2+ subtype (OR=1.38,95%CI=1.06-1.79, p=0.017) and parous women showed increased risk for HR-HER2+ (OR=2.7,95%CI=1.5-4.8, p<0.001) and HR-HER2- tumors (OR=2.4,95%CI=1.5-4.0, p<0.001) compared to nulliparous women. Multiple patient and tumor characteristics differed by age at diagnosis (<50 vs. >=50), including ancestry, region of residence, family history, height, BMI, breastfeeding, parity, and stage at diagnosis (p<0.02 for all variables).DiscussionThe characteristics of the PEGEN-BC study participants do not suggest heterogeneity by tumor subtype except for IA genetic ancestry proportion, which has been previously reported. Differences by age at diagnosis were apparent and concordant with what is known about pre- and post-menopausal-specific disease risk factors. Additional studies in Peru should be developed to further understand the main contributors to the specific age of onset and molecular disease subtypes in this population and develop population-appropriate predictive models for prevention.