Higher levels of VEGF-A and TNFα in patients with immune checkpoint inhibitor-induced inflammatory arthritis
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Immune checkpoint inhibitors (ICI), a type of cancer immunotherapy, can cause side effects including inflammatory arthritis (ICI-IA). Previous studies of ICI-IA do not include a thorough characterization of associated immune responses to provide potential targets for treatment. We aimed to identify cytokines uniquely increased in ICI-IA and determine correlations with IA severity and persistence. METHODS: We evaluated patients diagnosed with ICI-IA by a rheumatologist (n = 80); control serum was obtained from ICI-treated cancer patients without any diagnosed irAEs (n = 17) or diagnosed with an unrelated irAE (n = 19). Serum was assayed to quantify 9 cytokine levels (IFN-γ, IL-4, IL-6, IL-10, IL-12p70, IL-1α, TNF-α, IL-17a, VEGF-A) using MSD U-PLEX assay. Mann-Whitney U tests were performed to evaluate differences in cytokine levels between control and ICI-IA groups. The Kruskal-Wallis test and multivariable ordinal logistic regression were used to determine difference in cytokine levels between patients of differing disease activity. RESULTS: VEGF-A and TNFα were significantly elevated in patients with ICI-IA compared to ICI-controls; results persisted when restricting analyses to patients not treated with immunosuppressants at the time of sampling. ICI-IA patients were stratified by IA severity using CDAI score; there was significantly higher VEGF-A in those with higher disease activity. Ordinal logistic regression showed higher levels of IL-6 and VEGF-A were associated with higher disease activity. CONCLUSION: Elevated levels of VEGF-A and TNFα are associated with ICI-IA. There was also higher IL-6 and VEGF-A among those with higher disease activity when controlling for confounding. These cytokines could be used as biomarkers of ICI-IA severity and present therapeutic targets.
Source: Arthritis Research & Therapy
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,690
Awards: G1331311730, G7453724170, Understanding Inflammatory Arthritis due to Immune Checkpoint Inhibitors, G9000075135, Harnessing multivariate patient- and population-level disease trajectories to predict major clinical events in scleroderma, Johns Hopkins Rheumatic Diseases Resource-based Core Center (Johns Hopkins RDRCC)
OpenAlex ID: W4409062911
