Disparities in adverse events during cancer immunotherapy

Immune-related adverse events (irAEs) pose substantial management challenges for patients with cancer treated with immune checkpoint inhibitors, but such events may vary between ethnic and racial groups. Here we utilized data from several large-scale sources, including ClinicalTrials.gov, a nationwide health insurance database and electronic health records, to investigate the differential odds of irAEs among racial groups. Clinical trial reporting revealed limited information regarding race distribution in irAEs; where such information was reported, substantial variations in irAE occurrence rates were observed among racial groups after PD-(L)1 treatment. Black patients had higher odds of developing overall irAEs than Hispanic patients (odds ratio (OR) 1.08, 95% confidence interval (CI) 1.01–1.15), whereas Asian patients had lower odds than white patients (OR 0.89, 95% CI 0.81–0.97). Black patients showed higher odds of musculoskeletal and connective tissue disorders (OR 1.44, 95% CI 1.30–1.60) and arthritis (OR 2.27, 95% CI 1.92–2.68) compared with Asian patients. These findings show the importance of considering racial differences in the occurrence and severity of irAEs to optimize immune checkpoint inhibitor therapy and reduce disparities in healthcare. An analysis of almost half a million clinical trials, including 7,274 immune checkpoint inhibitor-related cancer trials, found that 87% lack information on race and ethnicity, while disparities were found for many adverse events.

Authors

Institutions

Publication Details

Journal
Nature Health
Published
2026-09-28
DOI
https://doi.org/10.1038/s44360-026-00201-2
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Disparities in adverse events during cancer immunotherapy

Yamei Chen, Javid J. Moslehi, Douglas Buckner Johnson, Mei Luo et al.
Nature Health
Cancer Immunotherapy and Biomarkers
article

Disparities in adverse events during cancer immunotherapy

Yamei Chen, Javid J. Moslehi, Douglas Buckner Johnson, Mei Luo, Jing Su, Leng Han, Christopher G. Chute, Pengyue Zhang, Eytan Ruppin, Lixia Diao, Yuan Liu, Kun Huang, Joe-elie Salem, Jingwen Yang, Jiang Bian, on behalf of N3C
article en

Abstract

Immune-related adverse events (irAEs) pose substantial management challenges for patients with cancer treated with immune checkpoint inhibitors, but such events may vary between ethnic and racial groups. Here we utilized data from several large-scale sources, including ClinicalTrials.gov, a nationwide health insurance database and electronic health records, to investigate the differential odds of irAEs among racial groups. Clinical trial reporting revealed limited information regarding race distribution in irAEs; where such information was reported, substantial variations in irAE occurrence rates were observed among racial groups after PD-(L)1 treatment. Black patients had higher odds of developing overall irAEs than Hispanic patients (odds ratio (OR) 1.08, 95% confidence interval (CI) 1.01–1.15), whereas Asian patients had lower odds than white patients (OR 0.89, 95% CI 0.81–0.97). Black patients showed higher odds of musculoskeletal and connective tissue disorders (OR 1.44, 95% CI 1.30–1.60) and arthritis (OR 2.27, 95% CI 1.92–2.68) compared with Asian patients. These findings show the importance of considering racial differences in the occurrence and severity of irAEs to optimize immune checkpoint inhibitor therapy and reduce disparities in healthcare. An analysis of almost half a million clinical trials, including 7,274 immune checkpoint inhibitor-related cancer trials, found that 87% lack information on race and ethnicity, while disparities were found for many adverse events.

Nature Health
Cedars-Sinai Medical Center (US), National Institutes of Health (US), Regenstrief Institute (US), The University of Texas MD Anderson Cancer Center (US), Johns Hopkins University (US), Inserm (FR), University of California, San Francisco (US), Sorbonne Université (FR), Assistance Publique – Hôpitaux de Paris (FR), Pitié-Salpêtrière Hospital (FR), National Cancer Institute (US), Center for Cancer Research (US), Indiana University Indianapolis (US), Indiana University School of Medicine, Vanderbilt University Medical Center (US)
Openalex Percentile: Top 14%
Cancer Immunotherapy and Biomarkers
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.