Unsupervised clustering to differentiate rheumatoid arthritis patients based on proteomic signatures.
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Date publication
avril 2023
Journal
Scandinavian journal of rheumatology
Auteurs
Membres identifiés du Cancéropôle Est :
Pr ROSSIGNOL Patrick
Tous les auteurs :
Ferreira MB, Kobayashi M, Costa RQ, Fonseca T, Brandão M, Oliveira JC, Marinho A, Cyrne Carvalho H, Rodrigues P, Zannad F, Rossignol P, Barros AS, Ferreira JP
Lien Pubmed
Résumé
Patients with rheumatoid arthritis (RA) have different presentations and prognoses. Cluster analysis based on proteomic signatures creates independent phenogroups of patients with different pathophysiological backgrounds. We aimed to identify distinct pathophysiological clusters of RA patients based on circulating proteomic biomarkers.
Référence
Scand J Rheumatol. 2023 04 21;:1-8