Lung cancer enrollment of demographic subgroups in US clinical trial sites.

E Evon Okidi (Medidata Solutions, a Dassault Systèmes Company, New York, NY) C Caroline Der-Nigoghossian (Dassault Systemes, New York, NY) K Kevin Blum (Dassault Systemes, New York, NY) K Keith Fleming (Dassault Systemes, New York, NY) C Cameron E. McClure (BeOne Medicines Ltd, Long Beach, CA) K Kimberly Doggett (BeOne Medicines Ltd, Durham, NC)

Abstract

8095 Background: Most clinical trials globally are not representative of a diverse patient population and 78% of trial participants remain White. This may limit the generalizability of trial results to the broader population, create an insufficient understanding of drugs’ safety and efficacy between different patient populations, and hinder equitable access to investigational drugs. We compare the racial and ethnic composition of US clinical trials sites for lung cancer to epidemiology data. Methods: The de-identified data was sourced from Medidata’s clinical trial database. The cohort included clinical trial participants enrolled in US sites in phase 1-3 interventional lung cancer studies conducted between 2016 and 2022. Lung cancer incidence estimates were taken from the National Cancer Institute’s incidence data. Sites were classified as at/above or below expected demographic composition based on a relative ratio calculation, RR = proportion of trial patients/proportion of population with lung cancer. RR ≥1 means site recruited at/above expected ratio for the demographic group and vice versa. A 10% tolerance was used to capture minor deviations. A Mann-Whitney U test was used to determine if the two site types have statistically different enrollment rates, with a p-value of 0.05 for significance. Results: The analysis cohort consisted of 6,988 lung cancer patients from 85 studies and 876 US sites. Most sites enrolled White non-Hispanic patients at/above the epidemiological threshold. Conversely, the majority of sites enrolled non-White patients below the threshold (Table 1). The overall enrollment performance of sites enrolling a representative cohort of Black, American Indian and White patients did not differ from their counterparts. However, sites enrolling at or above the epidemiological threshold of Asian non-Hispanic and Hispanic patients had a higher enrollment rate than sites underrepresenting these patient populations. Conclusions: The majority of US clinical trial sites underrepresent demographic subgroups except White non-Hispanic patients. Sites enrolling a representative pool of racial and ethnic demographic subgroups did not have a lower overall enrollment performance. Enrollment rate of sites recruiting at/above vs. below epidemiological threshold. Race/Ethnicity Sub-group Enrollment Rate (pts/site/month)Median (IQR) P-value Sites Enrolling At or Above Epidemiological Threshold Sites Enrolling Below Epidemiological Threshold N (%) sites Enrollment Rate N (%) sites Enrollment Rate Asian (non-Hispanic) 67 (13%) 0.11 (0.03 - 0.23) 439 (87%) 0.04 (0.02 - 0.08) <0.0001 Black (non-Hispanic) 96 (15%) 0.04 (0.02 - 0.08) 553 (85%) 0.04 (0.02 - 0.09) 0.99 American Indian (non-Hispanic) 6 (4%) 0.08 (0.06 - 0.12) 137 (96%) 0.04 (0.01 - 0.07) 0.19 White (non-Hispanic) 461 (59%) 0.04 (0.01 - 0.09) 326 (41%) 0.04 (0.02 - 0.07) 0.64 Hispanic 76 (14%) 0.07 (0.03 - 0.14) 447 (86%) 0.04 (0.02 - 0.08) 0.002

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 8095-8095
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (6)

E

Evon Okidi

Medidata Solutions, a Dassault Systèmes Company, New York, NY

C

Caroline Der-Nigoghossian

Dassault Systemes, New York, NY

K

Kevin Blum

Dassault Systemes, New York, NY

K

Keith Fleming

Dassault Systemes, New York, NY

C

Cameron E. McClure

BeOne Medicines Ltd, Long Beach, CA

K

Kimberly Doggett

BeOne Medicines Ltd, Durham, NC