Blood-based identification of non-responders to anti-TNF therapy in rheumatoid arthritis.

ABSTRACT:

Background

Faced with an increasing number of choices for biologic therapies, rheumatologists have a critical need for better tools to inform rheumatoid arthritis (RA) disease management. The ability to identify patients who are unlikely to respond to first-line biologic anti-TNF therapies prior to their treatment would allow these patients to seek alternative therapies, providing faster relief and avoiding complications of disease.

Methods

We identified a gene expression classifier to predict, pre-treatment, which RA patients are unlikely to respond to the anti-TNF infliximab. The classifier was trained and independently evaluated using four published whole blood gene expression data sets, in which RA patients (n = 116 = 44 + 15 + 30 + 27) were treated with infliximab, and

SUBMITTER: Thomson TM 

PROVIDER: S-EPMC4455917 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature