e18552 Background: Diffuse large B-cell lymphoma (DLBCL) is among the most common subtype of non-Hodgkin’s lymphoma accounting 31% of new cases. Introduction of immunotherapy and cell-based gene therapy has transformed the treatment landscape, yet there continue to be health disparities including differences in treatments received and health outcomes according to socioeconomic status. We aimed to quantify the association between race (white, black, American Indian/Alaska Native, Asian or Pacific Islander [API]) and cancer-specific survival among DLBCL patients. Methods: A retrospective observational study was conducted using the National Cancer Institute’s 2000-2019 Surveillance, Epidemiology, and End Results (SEER) Research Plus Data, 17 registries database. The SEER registry collects data on cancer incidence, patient and disease characteristics, and survival from approximately 35% of the US population. Patients were excluded if they had non-primary DLBCL or missing data. Survival analyses were used to evaluate cancer-specific mortality among 4 racial groups (white, black, American Indian/Alaska Native, API). Cox proportional hazards regression was used to assess the difference in cancer-specific mortality across race groups adjusting for age, sex, marital status, income, rurality, and Ann Arbor Stage. Results: The analytic sample included adult US patients diagnosed with DLBCL from 2010 to 2015 (N = 25,495). Of these 25,495 patients with DLBCL, the majority were White (82.8%), followed by API (9.3%), Black (7.4%), and American Indian/Alaska Native (0.5%). Age at diagnosis, sex, marital status, income differed across race groups. The crude cancer-specific mortality for blacks at year 2 was 29%, while 25% for whites, 24% for American Indians/Alaska Natives, and 29% for API. At year 6, the cancer-specific mortality was 36% for blacks, 33% for whites, 33% for American Indians/Alaska Natives, 35% for API. However, accounting for differences in patient characteristics (adjusting for age, sex, marital status, income, rurality, and Ann Arbor stage) resulted in an increased hazard risk (HR) of cancer-specific mortality for Black and Asian compared to whites (HR 1.28; 95% CI 1.18 to 1.40; and HR 1.19; 95% 1.11 to 1.29, respectively). The HR of cancer-specific mortality comparing American Indian/Alaska Natives to whites was 1.00; 95% CI .73 to 1.38, with the wide confidence intervals indicating that sample size is limited for this comparison. Conclusions: Despite advances in new treatment options, differences in cancer-specific mortality exists between different race groups among patients with DLBCL. The study highlights various sociodemographic features at diagnosis that could reflect disparities and lead to differences in cancer-specific mortality across race groups. It may be feasible to address some of the observed differences at DLBCL diagnosis and this may translate to better outcomes among patients with DLBCL.
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