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Synovial tissue signatures enhance clinical classification and prognostic/treatment response algorithms in early inflammatory arthritis and predict requirement for subsequent biological therapy: results from the pathobiology of early arthritis cohort (PEAC)

Lliso-Ribera, Gloria ; Humby, Frances ; Lewis, Myles ; Nerviani, Alessandra ; Mauro, Daniele ; Rivellese, Felice ; Kelly, Stephen ; Hands, Rebecca ; Bene, Fabiola ; Ramamoorthi, Nandhini ; Hackney, Jason A ; Cauli, Alberto ; Choy, Ernest H ; Filer, Andrew ; Taylor, Peter C ; McInnes, Iain ; Townsend, Michael J ; Pitzalis, Costantino

Annals of the rheumatic diseases, 2019-12, Vol.78 (12), p.1642-1652 [Revista revisada por pares]

England: BMJ Publishing Group LTD

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Synovial tissue signatures enhance clinical classification and prognostic/treatment response algorithms in early inflammatory arthritis and predict requirement for subsequent biological therapy: results from the pathobiology of early arthritis cohort (PEAC)
Autor: Lliso-Ribera, Gloria ; Humby, Frances ; Lewis, Myles ; Nerviani, Alessandra ; Mauro, Daniele ; Rivellese, Felice ; Kelly, Stephen ; Hands, Rebecca ; Bene, Fabiola ; Ramamoorthi, Nandhini ; Hackney, Jason A ; Cauli, Alberto ; Choy, Ernest H ; Filer, Andrew ; Taylor, Peter C ; McInnes, Iain ; Townsend, Michael J ; Pitzalis, Costantino
Materias: Algorithms ; Antirheumatic Agents - therapeutic use ; Arthritis ; Arthritis, Rheumatoid - classification ; Arthritis, Rheumatoid - diagnosis ; Arthritis, Rheumatoid - therapy ; Biological Therapy - methods ; Biopsy ; Cell activation ; Classification ; Disease Progression ; Early Arthritis ; Female ; Gene expression ; Humans ; Image-Guided Biopsy ; Immunosuppressive agents ; Immunotherapy ; Inflammation ; Lymphocytes B ; Lymphocytes T ; Macrophages ; Male ; Middle Aged ; Patients ; Prediction models ; Prognosis ; Prospective Studies ; Rheumatoid arthritis ; Rheumatology ; Severity of Illness Index ; Studies ; Synovial Membrane - diagnostic imaging ; Synovial Membrane - metabolism ; Synovitis ; Tumor necrosis factor-TNF ; Ultrasonic imaging ; Ultrasonography ; Ultrasound
Es parte de: Annals of the rheumatic diseases, 2019-12, Vol.78 (12), p.1642-1652
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descripción: ObjectiveTo establish whether synovial pathobiology improves current clinical classification and prognostic algorithms in early inflammatory arthritis and identify predictors of subsequent biological therapy requirement.Methods200 treatment-naïve patients with early arthritis were classified as fulfilling RA1987 American College of Rheumatology (ACR) criteria (RA1987) or as undifferentiated arthritis (UA) and patients with UA further classified into those fulfilling RA2010 ACR/European League Against Rheumatism (EULAR) criteria. Treatment requirements at 12 months (Conventional Synthetic Disease Modifying Antirheumatic Drugs (csDMARDs) vs biologics vs no-csDMARDs treatment) were determined. Synovial tissue was retrieved by minimally invasive, ultrasound-guided biopsy and underwent processing for immunohistochemical (IHC) and molecular characterisation. Samples were analysed for macrophage, plasma-cell and B-cells and T-cells markers, pathotype classification (lympho-myeloid, diffuse-myeloid or pauci-immune) by IHC and gene expression profiling by Nanostring.Results128/200 patients were classified as RA1987, 25 as RA2010 and 47 as UA. Patients classified as RA1987 criteria had significantly higher levels of disease activity, histological synovitis, degree of immune cell infiltration and differential upregulation of genes involved in B and T cell activation/function compared with RA2010 or UA, which shared similar clinical and pathobiological features. At 12-month follow-up, a significantly higher proportion of patients classified as lympho-myeloid pathotype required biological therapy. Performance of a clinical prediction model for biological therapy requirement was improved by the integration of synovial pathobiological markers from 78.8% to 89%–90%.ConclusionThe capacity to refine early clinical classification criteria through synovial pathobiological markers offers the potential to predict disease outcome and stratify therapeutic intervention to patients most in need.
Editor: England: BMJ Publishing Group LTD
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Synovial tissue signatures enhance clinical classification and prognostic/treatment response algorithms in early inflammatory arthritis and predict requirement for subsequent biological therapy: results from the pathobiology of early arthritis cohort (PEAC)

England: BMJ Publishing Group LTD

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