Adequate racial and ethnic representation in cancer clinical trial enrollment: Real-world evidence from an NCI-designated cancer center in a minority-majority county.

803 Background: Despite strides to increase diversity in clinical trial enrollment, significant racial and ethnic disparities persist. This limits the generalizability of clinical trial data and consequently the application of novel therapeutics for diverse populations. We hypothesized that enrollment of underrepresented minorities (URM) is feasible, with improved access to clinical care and a tailored clinical trial portfolio addressing the unmet needs in URM. Methods: A retrospective cohort study was conducted at the University of California Irvine Chao Comprehensive Cancer Center (CFCCC), an NCI-Designated cancer center located in Orange County (OC), CA (a minority-majority county). Clinical trial enrollment data from 2015-2023 through the CFCCC clinical research database was included. Collected data on patient demographics, tumor types, and trial enrollment was compared to data provided by the NIH SEER reports in both OC and United States. Results: Between 2015-2023, 2317 subjects were enrolled in clinical trials at CFCC. Demographics were as follows: White, Asian, Black, American Indian/Alaska Native, mixed/unknown race (66.4%/20.1%/2.4%/0.7%/0.7%/9.3%). Non-Hispanic vs Hispanic ethnicity (77.8%/20.5%). Female vs Male sex (47.6%/52.3%). Age <70 vs >70 years (73.3%/26.7%). Study Phase: Phase I/II (35.6%), Phase II (25.4%), Phase II/III (2.8%), Phase III (26.6%), and Phase IV (0.3%). Study sponsor: Industry (61.1%), Institutional (23.6%), National (14.8%), and Externally Peer Reviewed (0.3%). Most notably, the Asian enrollment (20.1%) and Hispanic enrollment (20.6%) exceeded demographic representation of Asians (17%, RR 1.18) and Hispanics (19%, RR 1.07) at CFCCC. Lastly, Asian patients enrolled at significantly higher rates in lung and liver cancer trials, while Hispanic patients and Black patients enrolled at higher rates in breast cancer and prostate cancer trials respectively. Conclusions: Our results demonstrate that robust URM clinical trial enrollment, particularly among Asian and Hispanic populations, is feasible at an NCI-designated cancer center despite minority-specific barriers. These findings suggest that minority populations can be optimally enrolled in clinical trials when these trials are accessible and tailored to the population at hand. Further research is necessary to investigate factors that influence clinical trial participation in the pursuit of equitable cancer care.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2025-01-27
DOI
https://doi.org/10.1200/jco.2025.43.4_suppl.803
Primary Topic
Economic and Financial Impacts of Cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adequate racial and ethnic representation in cancer clinical trial enrollment: Real-world evidence from an NCI-designated cancer center in a minority-majority county.

Nataliya Mar, Farshid Dayyani, Jennifer Brooke Valerin, Deepa Jeyakumar et al.
Journal of Clinical Oncology
Economic and Financial Impacts of Cancer
article

Adequate racial and ethnic representation in cancer clinical trial enrollment: Real-world evidence from an NCI-designated cancer center in a minority-majority county.

Nataliya Mar, Farshid Dayyani, Jennifer Brooke Valerin, Deepa Jeyakumar, Armon Azizi, Frank Lee, A. Mahadevan
article en

Abstract

803 Background: Despite strides to increase diversity in clinical trial enrollment, significant racial and ethnic disparities persist. This limits the generalizability of clinical trial data and consequently the application of novel therapeutics for diverse populations. We hypothesized that enrollment of underrepresented minorities (URM) is feasible, with improved access to clinical care and a tailored clinical trial portfolio addressing the unmet needs in URM. Methods: A retrospective cohort study was conducted at the University of California Irvine Chao Comprehensive Cancer Center (CFCCC), an NCI-Designated cancer center located in Orange County (OC), CA (a minority-majority county). Clinical trial enrollment data from 2015-2023 through the CFCCC clinical research database was included. Collected data on patient demographics, tumor types, and trial enrollment was compared to data provided by the NIH SEER reports in both OC and United States. Results: Between 2015-2023, 2317 subjects were enrolled in clinical trials at CFCC. Demographics were as follows: White, Asian, Black, American Indian/Alaska Native, mixed/unknown race (66.4%/20.1%/2.4%/0.7%/0.7%/9.3%). Non-Hispanic vs Hispanic ethnicity (77.8%/20.5%). Female vs Male sex (47.6%/52.3%). Age <70 vs >70 years (73.3%/26.7%). Study Phase: Phase I/II (35.6%), Phase II (25.4%), Phase II/III (2.8%), Phase III (26.6%), and Phase IV (0.3%). Study sponsor: Industry (61.1%), Institutional (23.6%), National (14.8%), and Externally Peer Reviewed (0.3%). Most notably, the Asian enrollment (20.1%) and Hispanic enrollment (20.6%) exceeded demographic representation of Asians (17%, RR 1.18) and Hispanics (19%, RR 1.07) at CFCCC. Lastly, Asian patients enrolled at significantly higher rates in lung and liver cancer trials, while Hispanic patients and Black patients enrolled at higher rates in breast cancer and prostate cancer trials respectively. Conclusions: Our results demonstrate that robust URM clinical trial enrollment, particularly among Asian and Hispanic populations, is feasible at an NCI-designated cancer center despite minority-specific barriers. These findings suggest that minority populations can be optimally enrolled in clinical trials when these trials are accessible and tailored to the population at hand. Further research is necessary to investigate factors that influence clinical trial participation in the pursuit of equitable cancer care.

Journal of Clinical OncologyVol. 43(4_suppl)
University of California, San Francisco (US), University of California, Irvine (US), University of California San Diego (US), University of California, Irvine Medical Center (US), UC Irvine Health (US)
Openalex Percentile: Top 98%
Economic and Financial Impacts of Cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.