Achieving epidemiologically representative enrollment and social determinants of health in the phase III evERA Breast Cancer study (NCT05306340).
Abstract
1572 Background: Clinical trials have historically under-enrolled patients (pts) from racial and ethnic minority groups, resulting in study populations that do not reflect the epidemiology of cancer in the United States (US), limiting generalizability of the findings. In parallel, social determinants of health (SDOH) are increasingly recognized as key drivers of cancer outcomes, yet are infrequently collected in oncology trials due to operational, ethical, and privacy concerns. The Phase III evERA breast cancer (BC) study (Mayer et al ESMO 2025) was intentionally designed to address both challenges through proactive enrollment strategies and prospective SDOH data collection. Methods: evERA BC is a global study in pts with ER+, HER2– advanced BC. In the US, a multi-pronged operational strategy was implemented to achieve epidemiologically representative enrollment, including expanded and pragmatic eligibility criteria, prioritization of community-based sites, real-time enrollment monitoring, patient navigation and financial support, and advocacy partnerships. A tailored survey assessing 5 key social determinants of health (education, income, employment status, marital status, insurance type) was offered to US pts to support a protocol-specified exploratory SDOH efficacy objective. Results: The multifaceted operational enrollment strategy used in the evERA BC study resulted in a US cohort (n=144 of total accrual 373) whose racial and ethnic composition exceeded SEER epidemiologic distributions for ER+, HER2− advanced BC for African American (AA) (12.5% vs 11.1%), Asian (9% vs 5.7%), and Hispanic (H) pts of any race (16% vs 8.9%). Enrollment for the aggregate White race (71.5%) and non-Hispanic (NH) ethnicity (83.3%) categories were slightly lower than SEER estimates for White race (82.9%) and NH ethnicity (91.1%). These enrollment patterns contrast with historic Phase III BC trials, in which AA pts typically comprise <5% and H pts <9% of enrolled populations. Of the 144 U.S. evERA BC pts, 128 (89%) completed the optional SDOH survey, demonstrating feasibility of SDOH data collection in a clinical trial setting and informing evaluation of potential trends and associations with outcomes. Conclusions: The evERA study demonstrates that key operational strategies can achieve epidemiologically representative enrollment while enabling robust and compliant SDOH data collection in oncology clinical trials. These findings provide a practical roadmap for industry sponsors seeking to improve recruitment of underrepresented populations and to generate more clinically meaningful and generalizable evidence by integrating social context into trial design and data interpretation. Clinical trial information: NCT05306340 .
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (20)
Gregory A. Vidal
West Cancer Center and Research Institute, Germantown, TN
Hope S. Rugo
City of Hope Comprehensive Cancer Center, Duarte, CA
Ricki Fairley
TOUCH, The Black Breast Cancer Alliance, Annapolis, MD
Valarie Worthy
TOUCH, The Black Breast Cancer Alliance, Annapolis, MD
Amy Tiersten
Icahn School of Medicine at Mount Sinai, New York, NY
Katherine H.R. Tkaczuk
University of Maryland School of Medicine & Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD
Michael A. Danso
Department of Medical Oncology, Brock Cancer Center, Virginia Oncology Associates, Norfolk
Lasika C. Seneviratne
Los Angeles Hematology Oncology Medical Group, Los Angeles, CA
Ines Joan Sanchez-Rivera
Texas Oncology-El Paso Gateway, El Paso, TX
Jeffrey D. Neidhart
Four Corners Cancer Center, San Juan Oncology Associates, Farmington, NM
Ibrahim M. Abbass
Genentech, Inc., South San Francisco, CA
Amy Vassel
Genentech, Inc., South San Francisco, CA
Gillian DiLallo
Genentech, Inc., South San Francisco, CA
Lauren Davis
Genentech, Inc, South San Francisco, CA
Georgia Litsas Dangel
Genentech, Inc., South San Francisco, CA
Robin Aimee Herzog
Genentech, Inc, South San Francisco, CA
Manisha Krishnamurthy
Genentech, Inc., South San Francisco, CA
Bann-mo Day
Genentech, Inc., South San Francisco, CA
Thomas Stark
Erica L. Mayer