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Tumor Engraftment in a Xenograft Mouse Model of Human Mantle Cell Lymphoma
Published on: March 30, 2018
Racial and Socioeconomic Disparities in Mantle Cell Lymphoma
Nikesh N Shah1, Yizhao Xi2, Yuan Liu2
1Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA.
Background:
Although race and socioeconomic factors are associated with outcome in many malignancies, few studies have examined the effect of race and socioeconomic status on patients with mantle cell lymphoma (MCL).
Patients And Methods:
We used the National Cancer Database to identify patients with MCL diagnosed between 2004 and 2013. We used χ2 and analysis of variance to assess associations of covariates with race/ethnicity. For univariate and multivariable analyses of overall survival (OS) we used Cox proportional hazards models. OS from the time of diagnosis was the primary end point.
Results:
Of 18,120 MCL patients, 14,984 (83%) were white non-Hispanic (NH), 709 (4%) black NH, and 1096 (6%) Hispanic. Of these patients, 6798 (39%) had private insurance, 9520 (55%) Medicare, and 635 (4%) Medicaid. Compared with white NH race, black race was associated with treatment at an academic/research program (347 of 681 patients [51%] vs. 5577 of 14,851 [38%]), B symptoms (196 patients [28%] vs. 3 [25%]), Medicaid/uninsured status (101 patients [15%] vs. 642 [5%]), and residence in regions with lower average education and income (all P < .001). Compared with NH black and Hispanic patients, more white NH patients received stem cell transplantation (73 patients [10%] vs. 114 [10%] vs. 1891 [13%]; P < .001). In multivariable analysis, Hispanic ethnicity, private insurance, and treatment at an academic center were associated with better OS (5-year OS 55.8%, 66.2%, and 56.6%, respectively), whereas black race was associated with inferior OS (5-year OS 46.8%).
Conclusion:
We identified disparities according to race and ethnicity in OS, independent of insurance and socioeconomic status. Further assessment of treatment patterns might elucidate new targets for improving access to care and health outcomes for rare cancers.
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