Personalizing arthritis treatment: genes may predict drug success

NCT ID NCT07388407

First seen Jun 27, 2026 ยท Last updated Jun 27, 2026

Summary

This study looks at how genetic differences influence the effectiveness and side effects of leflunomide, a common rheumatoid arthritis drug. Researchers will recruit 110 Pakistani patients starting leflunomide and track their disease activity and side effects over six months. By analyzing DNA from blood samples, they hope to find genetic markers that predict who responds well and who experiences toxicity, potentially leading to more personalized treatment.

What this could mean

Our plain-language read of the trial. This is informational only โ€” not medical advice or a prediction.

Active substance
leflunomide
What this could lead to
If successful, this could help doctors predict which rheumatoid arthritis patients will benefit most from leflunomide and who might have side effects.
What could go wrong
This is an early observational study with only 110 participants. Results may not apply to all populations, and the genetic markers found may not reliably predict outcomes in practice.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Fauji Foundation Hospital, Rawalpindi

    RECRUITING

    Rawalpindi, Punjab Province, 46000, Pakistan

  • Shifa International Hospital

    COMPLETED

    Islamabad, Punjab Province, 44000, Pakistan

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