Hispanic Ethnicity and Breast Cancer: Disaggregating Surgical Management and Mortality by Race

Abstract

Objective: Breast cancer is the leading cause of cancer death among Hispanic women. Unfortunately, few studies disaggregate Hispanic patients by race to understand its implications on treatment and clinical outcomes such as mortality. The aim of this study is to examine surgical management and overall mortality among different subgroups of women who self-identify as Hispanic.

Methods: Hispanic female patients, ages 18-90, stages I-III, diagnosed with breast cancer between 2010 and 2015 from the National Cancer Data Base were identified. The study cohort was divided into three ethnoracial categories: (1) Hispanic White (HW), 2) Hispanic Black (HB), and 3) Hispanic Other (HO). Descriptive statistics and multivariate models were constructed to determine the relationship between sociodemographic factors, clinical variables, surgical management, and mortality when disaggregated by race.

Results: There were 56,675 Hispanic women who met the study criteria. Most where HW (n=50,599, 89.3%) and the rest were HB (n=1,334, 2.4%) and HO (n=4,742, 8.3%). There was no difference between the three groups on receipt of breast conservation therapy (P=0.12). HB (48.5%) and HO (46.6%) women were more likely to undergo reconstruction than those who identified as HW (38.7%) (P<0.001). Additionally, HB (38.3%) women were more likely to undergo tissue-based reconstruction than HW (29.0%) and HO women (30%) (P=0.0008). There was no difference between the groups in the utilization of contralateral prophylactic mastectomy (CPM) (P=0.078). On multivariable analysis, there was no difference in mortality between HB and HW patients (HR 1.18, 95%CI 0.92-1.51; Ref HW). However, HO women had a 24% relative risk reduction in mortality (HR 0.76, 95% CI 0.63-0.92; HW ref).

Conclusion: Findings from this study suggest there are ethnoracial disparities in reconstruction utilization and mortality among Hispanic women. Future studies should examine how culture, language, healthcare access, and patient preferences contribute to these disparities.