
Faculty, Staff and Student Publications
Publication Date
1-1-2025
Journal
JTO Clinical and Research Reports
Abstract
Introduction: Racial and ethnic disparities in the presentation and outcomes of lung cancer are widely known. To evaluate potential factors contributing to these observations, we measured systemic immune parameters in Black and White patients with lung cancer.
Methods: Patients scheduled to receive cancer immunotherapy were enrolled in a multi-institutional prospective biospecimen collection registry. Clinical and demographic information were obtained from electronic medical records. Pretreatment peripheral blood samples were collected and analyzed for cytokines using a multiplex panel and for immune cell populations using mass cytometry. Differences between Black and White patients were determined and corrected for multiple comparisons.
Results: A total of 187 patients with NSCLC (Black, 19; White, 168) were included in the analysis. Compared with White patients, Black patients had greater comorbidity (median Charlson Comorbidity Index 5 versus 3; p = 0.04) and were more likely to have received previous chemotherapy (79% versus 47%; p = 0.03). Black patients had significantly lower levels of CCL23 and CCL27 and significantly higher levels of CCL8, CXCL1, CCL26, CCL25, CCL1, IL-1b, CXCL16, and IFN-γ (all p < 0.05, false discovery rate < 0.1). Black patients also exhibited greater populations of nonclassical CD16+ monocytes, NKT-like cells, CD4+ cells, CD38+ monocytes, and CD57+ gamma delta T cells (all p < 0.05).
Conclusions: Black and White patients with lung cancer exhibit several differences in immune parameters, with Black patients exhibiting greater levels of numerous proinflammatory cytokines and cell populations. The etiology and clinical significance of these differences warrant further evaluation.
Keywords
Cytokines, Immune cells, Disparities, Immunotherapy, Lung cancer, Race
DOI
10.1016/j.jtocrr.2024.100751
PMID
39619775
PMCID
PMC11605181
PubMedCentral® Posted Date
10-19-2024
PubMedCentral® Full Text Version
Post-print
Published Open-Access
yes
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Bioinformatics Commons, Biomedical Informatics Commons, Genetic Phenomena Commons, Medical Genetics Commons, Oncology Commons