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Our aim was to identify differentially expressed (DE) genes and biological processes that may help predict patient response to biologic agents for rheumatoid arthritis (RA). Using the INMEX (integrative meta-analysis of expression data) software tool, we performed a meta-analysis of publicly available microarray Gene Expression Omnibus (GEO) datasets that examined patient response to biologic therapy...
Objectives Tumor necrosis factor (TNF)-α promoter −308G/A polymorphism has been shown to be associated with high TNF-α production and poor response to anti-TNF-α treatment. However, not all patients show a good response to TNF-α antagonists, so this association remains controversial. This study was designed to investigate whether TNF-α promoter −308 G/A polymorphism is associated with responsiveness...
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