Abstract

Abstract Background: Endometrial cancer (EC) exhibit striking racial disparities with higher mortality in African Americans (AA) compared to European Americans (EA). The mortality-to-incidence rate ratio (MIR) gives a population based measure for survival which accounts for incidence. The objective of this study was to map EC MIRs by race for eight health regions within South Carolina (SC) and chart EC incidence by race and grade across the four cancer stages. Methods: Data on EC incidence and deaths were obtained from the South Carolina Central Cancer Registry, and Vital Registry respectively to construct MIRs. ArcGIS 10.1 software was used to map EC MIRs by race for eight health regions within South Carolina. Four classes of MIR were derived using the national MIR for EC among EAs as the reference. Results: When stratified by tumor stage, AAs had higher levels of poorly differentiated tumors across all stages. The incidence and mortality were consistently higher among AAs. Striking racial differences were observed with incidence and mortality consistently higher among AAs. In all eight health regions, AAs were in the highest MIR category. By contrast, EA MIRs were more evenly represented over the 4 classes. Conclusions: The MIR proved useful for identifying disparities in EC incidence, mortality and virulence among AA and EA women in SC. Cancer surveillance programs may use the MIR to monitor disparities across racial/ethnic groups and geographic regions going forward. MIRs have the potential to serve as an indicator of the long-term success of cancer surveillance programs. Citation Format: Oluwole Adeyemi Babatunde, Swann Arp Adams, Jan M. Eberth, Michael D. Wirth, Seul Ki Choi, James R. Hebert. Racial disparities in endometrial cancer epidemiology and mortality-to-incidence ratios in South Carolina. [abstract]. In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr C29.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.