Higher risk profile among patients with TET2-mutated giant cell arteritis: a cluster analysis
Year: 2024
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: We aimed to assess the prevalence of clonal haematopoiesis (CH) in patients with giant cell arteritis (GCA) compared with controls and individuals with other autoimmune diseases (AIDs) and to identify high-risk clinical/genetic profiles that could influence disease outcomes. METHODS: In a prospective observational study at three hospitals, we included 49 patients diagnosed with GCA, 48 patients with other AIDs and 27 control participants. We used next-generation sequencing to detect clonal haematopoiesis (CH) among them. RESULTS: . No significant differences in CH prevalence were found between patients with GCA and controls or other AID when adjusted for age and sex. Cluster analysis revealed two distinct groups within the patients with GCA, one of which displayed a higher prevalence of TET2 and JAK2 variants, and was associated with worse prognosis. CONCLUSIONS: CH is prevalent among patients with GCA but does not differ significantly from controls or other autoimmune conditions. However, specific genetic profiles, particularly mutations in TET2 and JAK2, are associated with a higher risk cluster within the GCA cohort. This observation highlights the interest of detecting CH in patients with GCA in both routine practice and clinical trials for better risk stratification. Further prospective studies are needed to determine if management tailored to the genetic profile would improve outcomes.
Source: RMD Open
Institutions: Inserm, Sorbonne Université, Assistance Publique – Hôpitaux de Paris, Hôpital Saint-Antoine, Institut Pierre Louis d‘Épidémiologie et de Santé Publique, Melun Hospital, Groupe Hospitalier Intercommunal Le Raincy Montfermeil, Centre National de la Recherche Scientifique, Centre Hospitalier Universitaire de Nantes, Institut du Thorax, Université de Nantes, Nantes Université, Institut Gustave Roussy, Hôpital Necker-Enfants Malades, Institut des Maladies Génétiques Imagine
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,391
OpenAlex ID: W4405221030
