Pharmacogenomics of tumor necrosis factor antagonists in rheumatoid arthritis

Prabha Ranganathan1

  • 1Washington University School of Medicine, Division of Rheumatology, 660 S. Euclid Avenue, Campus Box 8045, St. Louis, Missouri 63110, USA. prangana@ im.wustl.edu

Pharmacogenomics
|July 15, 2005
PubMed

Insights

Identifying patients who will benefit from anti-tumor necrosis factor (TNF)-alpha therapies for rheumatoid arthritis (RA) is crucial. Pharmacogenomic studies exploring gene variations to predict treatment response have yielded mixed results, requiring further investigation.

Area of Science:

  • Rheumatology
  • Pharmacogenomics
  • Immunology

Background:

  • Rheumatoid arthritis (RA) pathogenesis involves tumor necrosis factor (TNF)-alpha, leading to joint destruction.
  • Biological therapies targeting TNF-alpha (etanercept, infliximab, adalimumab) are effective but costly and not universally responsive.
  • Identifying patients likely to benefit from anti-TNF therapy is essential for chronic RA management.

Purpose of the Study:

  • To explore the utility of pharmacogenomic approaches in predicting patient response to anti-TNF therapies in rheumatoid arthritis.
  • To review the current evidence and challenges in using genetic polymorphisms to guide treatment decisions for RA.

Main Methods:

  • Review of recent studies investigating gene polymorphisms (e.g., SNPs) in TNF-alpha pathway genes and their association with anti-TNF therapy response.
  • Analysis of factors contributing to conflicting results in existing pharmacogenomic research.

Main Results:

  • Studies on gene polymorphisms (SNPs) in TNF-alpha, its receptors, and other immune-related genes have shown inconsistent results in predicting response to anti-TNF drugs.
  • Some studies suggest SNP significance, while others find them irrelevant, indicating complex interactions and potential confounding factors.

Conclusions:

  • Pharmacogenomic prediction of anti-TNF therapy efficacy in RA remains uncertain due to conflicting study outcomes.
  • Future research requires large, prospective, multicenter studies examining individual SNPs and multi-SNP haplotypes for accurate prediction.

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