PURPOSE: Reporting racial/ethnic disparities in aggregate obscures within-group heterogeneity. We sought to identify disparities in diagnosis and treatment in Hispanic subpopulations with metastatic prostate cancer (mPCa). METHODS: We disaggregated men with prostate adenocarcinoma from the National Cancer Database from 2004 to 2017 by racial subgroup and Hispanic background. We assessed (1) presenting with mPCa, (2) receiving any treatment, and (3) receiving delayed treatment beyond 90 days. Logistic regression and adjusted odds ratios (aOR) were reported. RESULTS: Hispanic men had greater odds of presenting with mPCa (aOR, 1.54; 95% CI, 1.50 to 1.58; P < .001) compared with non-Hispanic White (NHW) men. All Hispanic racial subgroups were more likely to present with mPCa, with the highest risk in Hispanic Black (HB) men (aOR, 1.68; 95% CI, 1.46 to 1.93; P < .01). Men from all Hispanic backgrounds had higher odds of presenting with mPCa, especially Mexican men (aOR, 1.99; 95% CI, 1.86 to 2.12; P < .01). Hispanic men were less likely to receive any treatment (aOR, 0.60; 95% CI, 0.53 to 0.67; P < .001), and this effect was particularly strong for Hispanic White patients (aOR, 0.58; 95% CI, 0.52 to 0.66; P < .001) and Dominican men (aOR, 0.52; 95% CI, 0.28 to 0.98; P = .044). Hispanic men were more likely to experience treatment delays compared with NHW men (aOR, 1.38; 95% CI, 1.26 to 1.52; P < .001) and in particular HB (aOR, 1.83; 95% CI, 1.22 to 2.75; P = .002) and South/Central American men (aOR, 1.48; 95% CI, 1.07 to 2.04; P = .018). CONCLUSION: Differences exist in stage at presentation, treatment receipt, and delays in treatment on disaggregation by racial subgroup and Hispanic heritage. We need to study the potential mechanisms of the observed variations to help develop targeted interventions.

PURPOSE: Hispanic and Latinx people in the United States are the fastest-growing ethnic group. However, previous studies in non–small-cell lung cancer (NSCLC) often analyze these diverse communities in aggregate. We aimed to identify differences in NSCLC stage at diagnosis in the US population, focusing on disaggregated Hispanic/Latinx individuals. METHODS: Data from the National Cancer Database from 2004 to 2018 identified patients with primary NSCLC. Individuals were disaggregated by racial and ethnic subgroup and Hispanic country of origin. Ordinal logistic regression adjusting for age, facility type, income, educational attainment, comorbidity index, insurance, and year of diagnosis was used to create adjusted odds ratios (aORs), with higher odds representing diagnosis at later-stage NSCLC. RESULTS: Of 1,565,159 patients with NSCLC, 46,616 were Hispanic/Latinx (3.0%). When analyzed in the setting of race and ethnicity, Hispanic patients were more likely to be diagnosed with metastatic disease compared with non-Hispanic White (NHW) patients: 47.0% for Hispanic Black, 46.0% Hispanic White, and 44.3% of Hispanic other patients versus 39.1% of non-Hispanic White patients ( P < .001 for all). By country of origin, 51.4% of Mexican, 41.7% of Puerto Rican, 44.6% of Cuban, 50.8% of South or Central American, 48.4% of Dominican, and 45.6% of other Hispanic patients were diagnosed with metastatic disease, compared with 39.1% of NHWs. Conversely, 20.2% of Mexican, 26.9% of Puerto Rican, 24.2% of Cuban, 22.5% of South or Central American, 23.7% of Dominican, and 24.5% of other Hispanic patients were diagnosed with stage I disease, compared with 30.0% of NHWs. All Hispanic groups were more likely to present with later-stage NSCLC than NHW patients (greatest odds for Mexican patients, aOR, 1.44; P < .001). CONCLUSION: Hispanic/Latinx patients with non–small-cell lung cancer were more likely to be diagnosed with advanced disease compared with NHWs. Disparities persisted upon disaggregation by both race and country of origin, with over half of Mexican patients with metastatic disease at diagnosis. Disparities among Hispanic/Latinx groups by race and by country of origin highlight the shortcomings of treating these groups as a monolith and underscore the need for disaggregated research and targeted interventions.