Achieving epidemiologically representative enrollment and social determinants of health in the phase III evERA Breast Cancer study (NCT05306340).

G Gregory A. Vidal (West Cancer Center and Research Institute, Germantown, TN) H Hope S. Rugo (City of Hope Comprehensive Cancer Center, Duarte, CA) R Ricki Fairley (TOUCH, The Black Breast Cancer Alliance, Annapolis, MD) V Valarie Worthy (TOUCH, The Black Breast Cancer Alliance, Annapolis, MD) A Amy Tiersten (Icahn School of Medicine at Mount Sinai, New York, NY) K Katherine H.R. Tkaczuk (University of Maryland School of Medicine & Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD) M Michael A. Danso (Department of Medical Oncology, Brock Cancer Center, Virginia Oncology Associates, Norfolk) L Lasika C. Seneviratne (Los Angeles Hematology Oncology Medical Group, Los Angeles, CA) I Ines Joan Sanchez-Rivera (Texas Oncology-El Paso Gateway, El Paso, TX) J Jeffrey D. Neidhart (Four Corners Cancer Center, San Juan Oncology Associates, Farmington, NM) I Ibrahim M. Abbass (Genentech, Inc., South San Francisco, CA) A Amy Vassel (Genentech, Inc., South San Francisco, CA) G Gillian DiLallo (Genentech, Inc., South San Francisco, CA) L Lauren Davis (Genentech, Inc, South San Francisco, CA) G Georgia Litsas Dangel (Genentech, Inc., South San Francisco, CA) R Robin Aimee Herzog (Genentech, Inc, South San Francisco, CA) M Manisha Krishnamurthy (Genentech, Inc., South San Francisco, CA) B Bann-mo Day (Genentech, Inc., South San Francisco, CA) T Thomas Stark E Erica L. Mayer

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

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 1572-1572
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

G

Gregory A. Vidal

West Cancer Center and Research Institute, Germantown, TN

H

Hope S. Rugo

City of Hope Comprehensive Cancer Center, Duarte, CA

R

Ricki Fairley

TOUCH, The Black Breast Cancer Alliance, Annapolis, MD

V

Valarie Worthy

TOUCH, The Black Breast Cancer Alliance, Annapolis, MD

A

Amy Tiersten

Icahn School of Medicine at Mount Sinai, New York, NY

K

Katherine H.R. Tkaczuk

University of Maryland School of Medicine & Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD

M

Michael A. Danso

Department of Medical Oncology, Brock Cancer Center, Virginia Oncology Associates, Norfolk

L

Lasika C. Seneviratne

Los Angeles Hematology Oncology Medical Group, Los Angeles, CA

I

Ines Joan Sanchez-Rivera

Texas Oncology-El Paso Gateway, El Paso, TX

J

Jeffrey D. Neidhart

Four Corners Cancer Center, San Juan Oncology Associates, Farmington, NM

I

Ibrahim M. Abbass

Genentech, Inc., South San Francisco, CA

A

Amy Vassel

Genentech, Inc., South San Francisco, CA

G

Gillian DiLallo

Genentech, Inc., South San Francisco, CA

L

Lauren Davis

Genentech, Inc, South San Francisco, CA

G

Georgia Litsas Dangel

Genentech, Inc., South San Francisco, CA

R

Robin Aimee Herzog

Genentech, Inc, South San Francisco, CA

M

Manisha Krishnamurthy

Genentech, Inc., South San Francisco, CA

B

Bann-mo Day

Genentech, Inc., South San Francisco, CA

T

Thomas Stark

E

Erica L. Mayer