Causes of biologic and small molecule therapy failure
Psoriasis is a chronic immune-mediated inflammatory disease for which biologic agents and small-molecule inhibitors have substantially improved therapeutic outcomes; however, treatment failure remains common in clinical practice.Evidence indicates that inadequate or lost responses result from the combined effects of genetic background, age at disease onset, comorbidities, immunogenicity, and drug-related adverse events rather than from a single factor.Genetic predisposition, including HLA-C*06:02, has been associated with favorable responses to earlier biologics; however, its utility as a predictive biomarker is limited with newer therapies.Meanwhile, ongoing genetic studies have identified additional susceptibility genes as potential predictors of treatment response.With respect to age-related factors, late-onset psoriasis is generally associated with more favorable treatment responses; however, patient age independently influences treatment outcomes, with safety concerns predominating in older patients and adherence-related factors in younger patients.Comorbidities, particularly obesity and metabolic disorders, are consistently linked to reduced treatment response, potentially through enhanced innate immune activation.Anti-drug antibody formation and adverse events further contribute to treatment discontinuation in a drug-specific manner.Overall, treatment failure in psoriasis is a multifactorial and context-dependent phenomenon, underscoring the need for individualized treatment strategies.
Authors
- Yoon Hwan Lee (ORCID: https://orcid.org/0000-0002-0831-2901)
- Joon Seok (ORCID: https://orcid.org/0000-0002-8016-8385)
- Eo Jin Kim (ORCID: https://orcid.org/0000-0001-9475-6930)
- Sin Woo Sung (ORCID: https://orcid.org/0009-0006-5187-1836)
Institutions
- Chung-Ang University Hospital (KR)
- Chung-Ang University (KR)
Publication Details
- Journal
- Daehan geonseon hakoeji (Online)
- Published
- 2026-06-26
- DOI
- https://doi.org/10.23203/jksp.2026.23.1.1
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00