Abstract PS1-04-28: Treatment Cascade Disruption in Breast Cancer: Socioeconomic Predictors of Sequential Delays in a Southeast Texas Cohort

Abstract Background: Sequential, timely delivery of multimodal treatment is essential to optimal outcomes in breast cancer. The majority of previous studies determine delays in treatment in isolation, without including disruptions across the entire treatment cascade (surgery → chemotherapy → radiation → hormone/immunotherapy). This study examines socioeconomic predictors of sequential and cumulative delays in the treatment of breast cancer. Methods: We conducted a retrospective cohort study on registry data from 609 breast cancer patients treated between 2018 and 2023 at a Southeast Texas multi-hospital system. Delay was classified as determined by modality-specific time thresholds as defined. Patients were classified as having 0, 1, 2, 3, or ≥4 modality delays. Logistic regression examined associations with demographic, insurance, and tumor characteristics. Results: 53% of patients experienced one or more modality delays; 19% had ≥2 modality delays. Medicaid insurance (OR: 2.89, 95% CI: 1.70-4.92), age