Immune checkpoint-induced arthritis: a comprehensive single-cohort descriptive analysis from clinical evaluation to histology

Background/purpose Immune checkpoint inhibitor-induced arthritis (ICI-IA) is the most common rheumatic immune-related adverse event (irAEs). Its pathogenesis remains unknown. Ultrasound (US)-guided synovial biopsy (USGSB) has been proven to be a safe and reliable procedure in rheumatoid arthritis (RA), enlarging the understanding of synovitis in RA. To the best of our knowledge, no studies have analyzed the histology of ICI-induced arthritis. This study aimed to describe ICI-IA from clinical presentation to histology. Materials and methods Patients who developed inflammatory arthritis while under treatment by ICIs were enrolled. A US assessment of 38 joints [shoulders, elbows, knees, wrists, metacarpophalangeal joints (MCPs), proximal interphalangeal joints (PIPs), and metatarsophalangeal joints (MTPs)] was systematically performed for inflammatory assessment and joint selection before synovial biopsy. Histopathological analyses consisted of semiquantitative scores for histological parameters (synovial hyperplasia, fibrinoid necrosis, hypervascularization, and inflammatory infiltrate) and immunohistochemistry staining (CD3, CD20, CD138, and CD68). As a control group, we enrolled age- and sex-matched untreated early RA (ERA) patients with synovial tissue available. Results A total of 13 patients were included [men/women (10/3), with a median age of 65 years (interquartile range: IQR: 14.5)]. Overall, seven patients suffered from polyarthritis (53.8%), and five (38.4%) suffered from oligoarthritis. The US pre-biopsy evaluation detected synovitis in 23.4% of joints; the most involved was the knee, followed by wrist, elbow, MCP2, MCP3, and MTP 2–5. Samples for synovial tissue analysis were primarily obtained from the knee (69.2%). The histology of ICI-induced arthritis demonstrated a synovial inflammation similar to that found in ERA. ICI-IA and ERA show similar clinical and histological characteristics. Conclusion Clinically, ICI-IA manifested as oligoarthritis and polyarthritis, similar to RA. Synovial histology in ICI-induced arthritis is indistinguishable from RA, suggesting common pathogenic mechanisms. Further transcriptomics analyses are ongoing to better describe this new arthritis condition.

Authors

Institutions

Publication Details

Journal
Frontiers in Medicine
Published
2025-10-13
DOI
https://doi.org/10.3389/fmed.2025.1638139
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
OCT
article

Immune checkpoint-induced arthritis: a comprehensive single-cohort descriptive analysis from clinical evaluation to histology

Ivan Borbath, Jean‐François Baurain, Laurent Méric de Bellefon, Frank Aboubakar Nana et al.
Frontiers in Medicine
Cancer Immunotherapy and Biomarkers
article

Immune checkpoint-induced arthritis: a comprehensive single-cohort descriptive analysis from clinical evaluation to histology

Ivan Borbath, Jean‐François Baurain, Laurent Méric de Bellefon, Frank Aboubakar Nana, Francesco Natalucci, A. Nzeusseu Toukap, Christine Galant, Patrick Durez, T. Sokolova, Frank Cornélis
article en

Abstract

Background/purpose Immune checkpoint inhibitor-induced arthritis (ICI-IA) is the most common rheumatic immune-related adverse event (irAEs). Its pathogenesis remains unknown. Ultrasound (US)-guided synovial biopsy (USGSB) has been proven to be a safe and reliable procedure in rheumatoid arthritis (RA), enlarging the understanding of synovitis in RA. To the best of our knowledge, no studies have analyzed the histology of ICI-induced arthritis. This study aimed to describe ICI-IA from clinical presentation to histology. Materials and methods Patients who developed inflammatory arthritis while under treatment by ICIs were enrolled. A US assessment of 38 joints [shoulders, elbows, knees, wrists, metacarpophalangeal joints (MCPs), proximal interphalangeal joints (PIPs), and metatarsophalangeal joints (MTPs)] was systematically performed for inflammatory assessment and joint selection before synovial biopsy. Histopathological analyses consisted of semiquantitative scores for histological parameters (synovial hyperplasia, fibrinoid necrosis, hypervascularization, and inflammatory infiltrate) and immunohistochemistry staining (CD3, CD20, CD138, and CD68). As a control group, we enrolled age- and sex-matched untreated early RA (ERA) patients with synovial tissue available. Results A total of 13 patients were included [men/women (10/3), with a median age of 65 years (interquartile range: IQR: 14.5)]. Overall, seven patients suffered from polyarthritis (53.8%), and five (38.4%) suffered from oligoarthritis. The US pre-biopsy evaluation detected synovitis in 23.4% of joints; the most involved was the knee, followed by wrist, elbow, MCP2, MCP3, and MTP 2–5. Samples for synovial tissue analysis were primarily obtained from the knee (69.2%). The histology of ICI-induced arthritis demonstrated a synovial inflammation similar to that found in ERA. ICI-IA and ERA show similar clinical and histological characteristics. Conclusion Clinically, ICI-IA manifested as oligoarthritis and polyarthritis, similar to RA. Synovial histology in ICI-induced arthritis is indistinguishable from RA, suggesting common pathogenic mechanisms. Further transcriptomics analyses are ongoing to better describe this new arthritis condition.

Frontiers in MedicineVol. 12
Cliniques Universitaires Saint-Luc (BE), UCLouvain (BE)
Openalex Percentile: Top 61%
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.