Racial Disparities in Endometrial Cancer Clinical Trial Representation: Exploring the Role of Eligibility Criteria

Am J Clin Oncol. 2024 Aug 1;47(8):391-396. doi: 10.1097/COC.0000000000001107. Epub 2024 May 3.

Abstract

Objective: This study aimed to determine whether Black patients with recurrent endometrial cancer were more likely than White patients to be ineligible for a recently published clinical trial due to specific eligibility criteria.

Methods: Patients with recurrent or progressive endometrial cancer diagnosed from January 2010 to December 2021 who received care at a single institution were identified. Demographic and clinicopathologic information was abstracted and determination of clinical trial eligibility was made based on 14 criteria from the KEYNOTE-775 trial. Characteristics of the eligible and ineligible cohorts were compared, and each ineligibility criterion was evaluated by race.

Results: One hundred seventy-five patients were identified, 89 who would have met all inclusion and no exclusion criteria for KEYNOTE-775, and 86 who would have been ineligible by one or more exclusion criteria. Patients in the ineligible cohort were more likely to have lower BMI (median 26.5 vs. 29.2, P <0.001), but were otherwise similar with regard to insurance status, histology, and stage at diagnosis. Black patients had 33% lower odds of being eligible (95% CI: 0.33-1.34) and were more likely to meet the exclusion criterion of having a previous intestinal anastomosis, but the result was not statistically significant. If this criterion were removed, the racial distribution of those ineligible for the trial would be more similar (46.4% Black vs. 42.2% White).

Conclusions: Clinical trial eligibility criteria may contribute to the underrepresentation of racial groups in clinical trials, but other factors should be explored. Studies to quantify and lessen the impact of implicit bias are also needed.

MeSH terms

  • Aged
  • Black or African American / statistics & numerical data
  • Clinical Trials as Topic / statistics & numerical data
  • Eligibility Determination*
  • Endometrial Neoplasms* / ethnology
  • Endometrial Neoplasms* / pathology
  • Endometrial Neoplasms* / therapy
  • Female
  • Healthcare Disparities / ethnology
  • Humans
  • Middle Aged
  • Neoplasm Recurrence, Local / ethnology
  • Neoplasm Recurrence, Local / pathology
  • Patient Selection*
  • White / statistics & numerical data