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Whole Blood Gene Expression Profiling Predicts Therapeutic Response at Six Months in Patients With Polyarticular Juvenile Idiopathic Arthritis
Author(s) -
Jiang Kaiyu,
Sawle Ashley D.,
Frank M. Barton,
Chen Yanmin,
Wallace Carol A.,
Jarvis James N.
Publication year - 2014
Publication title -
arthritis and rheumatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.106
H-Index - 314
eISSN - 2326-5205
pISSN - 2326-5191
DOI - 10.1002/art.38341
Subject(s) - medicine , microarray , gene expression , gene expression profiling , dna microarray , gene , arthritis , rheumatoid arthritis , whole blood , juvenile rheumatoid arthritis , microarray analysis techniques , oncology , bioinformatics , immunology , biology , genetics
Objective To determine whether gene expression profiles identified in peripheral whole blood samples could be used to determine therapeutic outcome in a cohort of children with newly diagnosed polyarticular juvenile idiopathic arthritis (JIA). Methods Whole blood samples from the Trial of Early Aggressive Therapy (TREAT) in JIA patients were analyzed on Illumina microarrays, and differential gene expression was compared to expression in healthy controls. Microarray results were validated by real‐time quantitative polymerase chain reaction in an independent cohort of samples. Pathway analysis software was used to characterize gene expression profiles. Support vector machines were used to develop predictive models for different patient classes. Results Differential gene expression profiles for rheumatoid factor (RF)–positive and RF‐negative patients were remarkably similar. Pathway analysis revealed a broad range of affected pathways, consistent with current mechanistic theories. Modeling showed that the prognosis at 6 months was strongly linked to gene expression at presentation, irrespective of treatment. Conclusion Gene expression is linked to therapeutic outcome, and gene expression in the peripheral blood may be a suitable target for a prognostic test.