IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i14p8613-d863263.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/14/8613/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/14/8613/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shi, Yishao & Tao, Tianhui & Cao, Xiangyang & Pei, Xiaowen, 2021. "The association between spatial attributes and neighborhood characteristics based on Meituan take-out data: Evidence from shanghai business circles," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    2. Asirvatham, Jebaraj & Thomsen, Michael R. & Nayga, Rodolfo M. & Goudie, Anthony, 2019. "Do fast food restaurants surrounding schools affect childhood obesity?," Economics & Human Biology, Elsevier, vol. 33(C), pages 124-133.
    3. Lin Lin & Xueming (Jimmy) Chen & Anne Vernez Moudon, 2021. "Measuring the Urban Forms of Shanghai’s City Center and Its New Districts: A Neighborhood-Level Comparative Analysis," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    4. Chen-Yu Huang & Min Cheng & Na-Rong Lee & Hsin-Yi Huang & Wen-Ling Lee & Wen-Hsun Chang & Peng-Hui Wang, 2020. "Comparing Paclitaxel–Carboplatin with Paclitaxel–Cisplatin as the Front-Line Chemotherapy for Patients with FIGO IIIC Serous-Type Tubo-Ovarian Cancer," IJERPH, MDPI, vol. 17(7), pages 1-23, March.
    5. Stephen Matthews & Daniel M. Parker, 2013. "Progress in Spatial Demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(10), pages 271-312.
    6. Mengfei Chen & Mohamed Kharbeche & Mohamed Haouari & Weihong Grace Guo, 2024. "A simulation-optimization framework for food supply chain network design to ensure food accessibility under uncertainty," Papers 2406.04439, arXiv.org, revised Jun 2024.
    7. Saghaian, Sayed & Mohammadi, Hosein, 2018. "Factors Affecting Frequency of Fast Food Consumption," Journal of Food Distribution Research, Food Distribution Research Society, vol. 49(1), March.
    8. James K. Binkley, 2008. "Calorie and Gram Differences between Meals at Fast Food and Table Service Restaurants," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(4), pages 750-763.
    9. Brian Elbel & Kosuke Tamura & Zachary T McDermott & Dustin T Duncan & Jessica K Athens & Erilia Wu & Tod Mijanovich & Amy Ellen Schwartz, 2019. "Disparities in food access around homes and schools for New York City children," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-17, June.
    10. Manuel Ruiz & Fernando López & Antonio Páez, 2010. "Testing for spatial association of qualitative data using symbolic dynamics," Journal of Geographical Systems, Springer, vol. 12(3), pages 281-309, September.
    11. Sisitha Jayasinghe & Emily J. Flies & Robert Soward & Dave Kendal & Michelle Kilpatrick & Verity Cleland & Rebecca Roberts & Fadhillah Norzahari & Melanie Davern & Timothy P. Holloway & Sandra Murray , 2022. "Physical Activity and Food Environments in and around Schools: A Case Study in Regional North-West Tasmania," IJERPH, MDPI, vol. 19(10), pages 1-14, May.
    12. Brennan Davis & Cornelia Pechmann, 2023. "When Students Patronize Fast-Food Restaurants near School: The Effects of Identification with the Student Community, Social Activity Spaces and Social Liability Interventions," IJERPH, MDPI, vol. 20(5), pages 1-24, March.
    13. Joseph Galaskiewicz & Olga V. Mayorova & Beth M. Duckles, 2013. "Studying the Roles of Nonprofits, Government, and Business in Providing Activities and Services to Youth in the Phoenix Metropolitan Area," The ANNALS of the American Academy of Political and Social Science, , vol. 647(1), pages 50-82, May.
    14. Meizi He & Patricia Tucker & Jason Gilliland & Jennifer D. Irwin & Kristian Larsen & Paul Hess, 2012. "The Influence of Local Food Environments on Adolescents’ Food Purchasing Behaviors," IJERPH, MDPI, vol. 9(4), pages 1-14, April.
    15. Anthony Winson, 2008. "School food environments and the obesity issue: content, structural determinants, and agency in Canadian high schools," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 25(4), pages 499-511, December.
    16. S. Bryn Austin & Allegra R. Gordon & Grace A. Kennedy & Kendrin R. Sonneville & Jeffrey Blossom & Emily A. Blood, 2013. "Spatial Distribution of Cosmetic-Procedure Businesses in Two U.S. Cities: A Pilot Mapping and Validation Study," IJERPH, MDPI, vol. 10(12), pages 1-31, December.
    17. Anders K. Lyseen & Henning S. Hansen & Henrik Harder & Anders S. Jensen & Bent E. Mikkelsen, 2015. "Defining Neighbourhoods as a Measure of Exposure to the Food Environment," IJERPH, MDPI, vol. 12(7), pages 1-22, July.
    18. Nilsson, Isabelle M. & Smirnov, Oleg A., 2016. "Measuring the effect of transportation infrastructure on retail firm co-location patterns," Journal of Transport Geography, Elsevier, vol. 51(C), pages 110-118.
    19. Adriana Dornelles, 2019. "Impact of multiple food environments on body mass index," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-14, August.
    20. Antonio Páez & Ruben Gertes Mercado & Steven Farber & Catherine Morency & Matthew Roorda, 2010. "Relative Accessibility Deprivation Indicators for Urban Settings: Definitions and Application to Food Deserts in Montreal," Urban Studies, Urban Studies Journal Limited, vol. 47(7), pages 1415-1438, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8613-:d:863263. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.