Identifying transcriptomic predictors of brodalumab response in psoriasis using CART analysis

IF 1.8 4区医学 Q3 DERMATOLOGY

Archives of Dermatological Research Pub Date : 2025-03-26 DOI:10.1007/s00403-025-04158-2

Vikram R. Shaw, Jay Patel, Vamsi Varra

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引用次数: 0

Abstract

Precision medicine is a topic of growing interest in psoriasis. Many novel biologics are now available to clinicians and identifying who will be a responder or non-responder to a given biologic prior to treatment is an exciting area of inquiry with strong potential clinical utility. In the present study, we use an interpretable classification and regression tree (CART) model to predict week 12 PASI75 and PASI90 response to brodalumab treatment based on clinical variables and transcriptomic data from lesional biopsy tissue samples. We identify KRT16 normalized RNA expression levels and BMI as pre-treatment predictors of a PASI75 response and FERMT1, HLA_DQA1, TMPRSS11D, and S100P normalized RNA expression levels as pre-treatment predictors of a PASI90 response. The CART models demonstrated strong AUC values for the PASI75 (0.90) and PASI90 (0.88) analyses. Taken together, focused transcriptomics has the potential to be used clinically for the pre-treatment prediction of treatment response.

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来源期刊

Archives of Dermatological Research 医学-皮肤病学

CiteScore

4.10

自引率

3.30%

发文量

审稿时长

4-8 weeks

期刊介绍： Archives of Dermatological Research is a highly rated international journal that publishes original contributions in the field of experimental dermatology, including papers on biochemistry, morphology and immunology of the skin. The journal is among the few not related to dermatological associations or belonging to respective societies which guarantees complete independence. This English-language journal also offers a platform for review articles in areas of interest for dermatologists and for publication of innovative clinical trials.