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Updated: Nov 22, 2025

The Goeckerman Regimen for the Treatment of Moderate to Severe Psoriasis
Published on: July 11, 2013
Pharmacogenetics Update on Biologic Therapy in Psoriasis.
Ester Muñoz-Aceituno1, Luisa Martos-Cabrera1, María Carmen Ovejero-Benito2
1Dermatology Department, Hospital Universitario de la Princesa, 28006 Madrid, Spain.
Pharmacogenetics research explores genetic markers for psoriasis treatment response. The HLA-C*06:02 allele shows promise for predicting ustekinumab efficacy, while anti-IL17 drug responses require further investigation.
Area of Science:
- Immunodermatology
- Pharmacogenetics
- Genetics
Background:
- Psoriasis is a chronic, immune-mediated skin disease with complex genetic and environmental factors.
- Biological therapies offer effective psoriasis treatment but exhibit significant inter-individual efficacy variability.
- Personalized therapeutic decisions necessitate biomarkers for predicting treatment outcomes.
Purpose of the Study:
- To review pharmacogenetics studies on moderate-to-severe psoriasis treatment.
- To focus on anti-interleukin (IL)-12/23 (ustekinumab), anti-IL17 (secukinumab, ixekizumab), and anti-TNF drugs.
- To identify genetic variations influencing drug response in psoriasis patients.
Main Methods:
- Literature review of pharmacogenetics studies.
- Analysis of studies on anti-TNF, anti-IL-12/23, and anti-IL-17 therapies.
- Examination of genetic polymorphisms, including genome-wide association studies (GWAS).
Main Results:
- Multiple polymorphisms studied for anti-TNF drug response, with recent GWAS and regimen optimization studies.
- Various gene polymorphisms linked to ustekinumab response, notably the HLA-C*06:02 allele.
- Most studies indicate a higher ustekinumab response rate in patients with the HLA-C*06:02 allele.
Conclusions:
- The HLA-C*06:02 allele is a potential biomarker for ustekinumab response in psoriasis.
- No significant associations found between studied polymorphisms and anti-IL-17 drug (secukinumab) response.
- Larger cohort studies are required to validate findings and implement biomarkers in clinical practice.
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