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The Geographic Context of Racial Disparities in Aggressive Endometrial Cancer Subtypes: Integrating Social and Environmental Aspects to Discern Biological Outcomes

Author

Listed:
  • Anna Kimberly Miller

    (Department of Genetic and Genome Sciences, Case Western Reserve University, Cleveland, OH 44106, USA)

  • Jennifer Catherine Gordon

    (Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University Hospitals Cleveland and Case Western Reserve University, Cleveland, OH 44106, USA
    Case Comprehensive Cancer Center, Cleveland, OH 44106, USA)

  • Jacqueline W. Curtis

    (Case Comprehensive Cancer Center, Cleveland, OH 44106, USA
    Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA)

  • Jayakrishnan Ajayakumar

    (Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA)

  • Fredrick R. Schumacher

    (Case Comprehensive Cancer Center, Cleveland, OH 44106, USA
    Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA)

  • Stefanie Avril

    (Case Comprehensive Cancer Center, Cleveland, OH 44106, USA
    Department of Pathology, University Hospitals Cleveland and Case Western Reserve University, Cleveland, OH 44106, USA)

Abstract

The number of Endometrial Carcinoma (EC) diagnoses is projected to increase substantially in coming decades. Although most ECs have a favorable prognosis, the aggressive, non-endometrioid subtypes are disproportionately concentrated in Black women and spread rapidly, making treatment difficult and resulting in poor outcomes. Therefore, this study offers an exploratory spatial epidemiological investigation of EC patients within a U.S.-based health system’s institutional cancer registry ( n = 1748) to search for and study geographic patterns. Clinical, demographic, and geographic characteristics were compared by histotype using chi-square tests for categorical and t-tests for continuous variables. Multivariable logistic regression evaluated the impact of risks on these histotypes. Cox proportional hazard models measured risks in overall and cancer-specific death. Cluster detection indicated that patients with the EC non-endometrioid histotypes exhibit geographic clustering in their home address, such that congregate buildings can be identified for targeted outreach. Furthermore, living in a high social vulnerability area was independently associated with non-endometrioid histotypes, as continuous and categorical variables. This study provides a methodological framework for early, geographically targeted intervention; social vulnerability associations require further investigation. We have begun to fill the knowledge gap of geography in gynecologic cancers, and geographic clustering of aggressive tumors may enable targeted intervention to improve prognoses.

Suggested Citation

  • Anna Kimberly Miller & Jennifer Catherine Gordon & Jacqueline W. Curtis & Jayakrishnan Ajayakumar & Fredrick R. Schumacher & Stefanie Avril, 2022. "The Geographic Context of Racial Disparities in Aggressive Endometrial Cancer Subtypes: Integrating Social and Environmental Aspects to Discern Biological Outcomes," IJERPH, MDPI, vol. 19(14), pages 1-12, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8613-:d:863263
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    References listed on IDEAS

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    1. Maeve G. MacMurdo & Karen B. Mulloy & Daniel A. Culver & Charles W. Felix & Andrew J. Curtis & Jayakrishnan Ajayakumar & Jacqueline Curtis, 2022. "Mapping Mobility: Utilizing Local-Knowledge-Derived Activity Space to Estimate Exposure to Ambient Air Pollution among Individuals Experiencing Unsheltered Homelessness," IJERPH, MDPI, vol. 19(10), pages 1-9, May.
    2. Austin, S.B. & Melly, S.J. & Sanchez, B.N. & Patel, A. & Buka, S. & Gortmaker, S.L., 2005. "Clustering of fast-food restaurants around schools: A novel application of spatial statistics to the study of food environments," American Journal of Public Health, American Public Health Association, vol. 95(9), pages 1575-1581.
    3. Carol Hanchette & Charlie H. Zhang & Gary G. Schwartz, 2018. "Ovarian Cancer Incidence in the U.S. and Toxic Emissions from Pulp and Paper Plants: A Geospatial Analysis," IJERPH, MDPI, vol. 15(8), pages 1-13, July.
    4. Shannon M Lynch & Elizabeth Handorf & Kristen A Sorice & Elizabeth Blackman & Lisa Bealin & Veda N Giri & Elias Obeid & Camille Ragin & Mary Daly, 2020. "The effect of neighborhood social environment on prostate cancer development in black and white men at high risk for prostate cancer," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-18, August.
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    Cited by:

    1. Andrew J. Curtis & Jayakrishnan Ajayakumar & Jacqueline Curtis & Sam Brown, 2022. "Spatial Syndromic Surveillance and COVID-19 in the U.S.: Local Cluster Mapping for Pandemic Preparedness," IJERPH, MDPI, vol. 19(15), pages 1-15, July.

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