Arthritis & Rheumatology
Fecha de publicación: 22 February 2018
Autores:Phaedra Agius PhD, Edward F. DiCarlo MD, Nicolas Robine PhD, Jackie Szymonifka PhD, Michael McNamara BS, Ryan Cummings AB…
Background: Objective in this study, we sought to refine histologic scoring of rheumatoid arthritis (RA) synovial tissue by training with gene expression data and machine learning.
Methods: Twenty histologic features were assessed in 129 synovial tissue samples (n = 123 RA patients and n = 6 osteoarthritis [OA] patients). Consensus clustering was performed on gene expression data from a subset of 45 synovial samples. Support vector machine learning was used to predict gene expression subtypes, using histologic data as the input. Corresponding clinical data were compared across subtypes.