Prediction of efficacy of anti-TNF biologic agent, infliximab, for rheumatoid arthritis patients using a comprehensive transcriptome analysis of white blood cells

Biochem Biophys Res Commun. 2009 Sep 18;387(2):261-5. doi: 10.1016/j.bbrc.2009.06.149. Epub 2009 Jul 3.

Abstract

Introduction of biologics, such as infliximab, to the therapy of rheumatoid arthritis (RA) patients has revolutionized the treatment of this disease. However, biomarkers for predicting the efficacy of the drug at an early phase of treatment for selecting real responders have not been found. We here present predictive markers based on a thorough transcriptome analysis of white blood cells from RA patients. RNA from whole blood cells of consecutive 42 patients before the first infusion was analyzed with microarrays for training studies. Samples from the subsequent 26 consecutive patients were used for a prospective study. We categorized the results into no inflammation and residual inflammation groups using the serum C-reactive protein (CRP) level at 14weeks after the first infusion. The accuracy of prediction in our study was 65.4%.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antibodies, Monoclonal / pharmacology*
  • Antibodies, Monoclonal / therapeutic use
  • Antirheumatic Agents / pharmacology*
  • Antirheumatic Agents / therapeutic use
  • Arthritis, Rheumatoid / drug therapy
  • Arthritis, Rheumatoid / genetics*
  • C-Reactive Protein / analysis
  • Gene Expression / drug effects
  • Gene Expression Profiling
  • Humans
  • Infliximab
  • Leukocytes / drug effects*
  • Leukocytes / metabolism
  • Tumor Necrosis Factor-alpha / antagonists & inhibitors*

Substances

  • Antibodies, Monoclonal
  • Antirheumatic Agents
  • Tumor Necrosis Factor-alpha
  • C-Reactive Protein
  • Infliximab