Atopic dermatitis and inflammatory skin disease
HLA-C*06:02 genotype is a predictive biomarker of biologic treatment response in psoriasis

https://doi.org/10.1016/j.jaci.2018.11.038Get rights and content

Background

Biologic therapies can be highly effective for the treatment of severe psoriasis, but response for individual patients can vary according to drug. Predictive biomarkers to guide treatment selection could improve patient outcomes and treatment cost-effectiveness.

Objective

We sought to test whether HLA-C*06:02, the primary genetic susceptibility allele for psoriasis, predisposes patients to respond differently to the 2 most commonly prescribed biologics for psoriasis: adalimumab (anti–TNF-α) and ustekinumab (anti–IL-12/23).

Methods

This study uses a national psoriasis registry that includes longitudinal treatment and response observations and detailed clinical data. HLA alleles were imputed from genome-wide genotype data for 1326 patients for whom 90% reduction in Psoriasis Area and Severity Index score (PASI90) response status was observed after 3, 6, or 12 months of treatment. We developed regression models of PASI90 response, examining the interaction between HLA-C*06:02 and drug type (adalimumab or ustekinumab) while accounting for potentially confounding clinical variables.

Results

HLA-C*06:02–negative patients were significantly more likely to respond to adalimumab than ustekinumab at all time points (most strongly at 6 months: odds ratio [OR], 2.95; P = 5.85 × 10−7), and the difference was greater in HLA-C*06:02–negative patients with psoriatic arthritis (OR, 5.98; P = 6.89 × 10−5). Biologic-naive patients who were HLA-C*06:02 positive and psoriatic arthritis negative demonstrated significantly poorer response to adalimumab at 12 months (OR, 0.31; P = 3.42 × 10−4). Results from HLA-wide analyses were consistent with HLA-C*06:02 itself being the primary effect allele. We found no evidence for genetic interaction between HLA-C*06:02 and ERAP1.

Conclusion

This large observational study suggests that reference to HLA-C*06:02 status could offer substantial clinical benefit when selecting treatments for severe psoriasis.

Section snippets

Patient population

The study was conducted in accordance with the 2008 Declaration of Helsinki and in the spirit of the 1996 International Conference on Harmonisation in Good Clinical Practice. Ethical approval for this study was granted by The South East London REC 2 Ethics Committee (11/H0802/7). Written informed consent was obtained from all subjects before enrollment.

All participants are adults (>16 years) enrolled in the Biomarkers of Systemic Treatment Outcomes in Psoriasis (BSTOP) study (//www.kcl.ac.uk/lsm/research/divisions/gmm/departments/dermatology/Research/stru/groups/bstop/index.aspx

A prospective observational data resource facilitating predictive genetic biomarker identification in psoriasis

To assess the ability of HLA-C*06:02 to predict different rates of response to adalimumab and ustekinumab, we considered 3320 patients enrolled in the BSTOP study and BADBIR for whom genotype data were available (see the main Methods section). Of these patients, 53.4% were HLA-C*06:02 positive (carrying ≥1 copy of the allele), with 46.6% being HLA-C*06:02 negative. After applying eligibility criteria to ensure that valid baseline and response PASI scores were available, 1326 participants were

Discussion

This study constitutes the largest investigation to date into the pharmacogenetics of biologic response in patients with psoriasis and is the first to use jointly generated clinical and genetic data on different drugs to identify a predictive biomarker with potential clinical utility. We report that the HLA-C*06:02 allele effectively stratifies patients with psoriasis into groups with different profiles of response to the 2 most frequently prescribed biologics: adalimumab and ustekinumab.

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    Supported by PSORT, which is in turn funded by a Medical Research Council (MRC) Stratified Medicine award (MR/L011808/1). The Psoriasis Association (RG2/10), the NIHR Biomedical Research Centre at King's College London/Guy's and St Thomas' NHS Foundation Trust, the Newcastle NIHR Biomedical Research Centre, and the NIHR Manchester Biomedical Research Centre. The British Association of Dermatologists Biologic and Immunomodulators Register (BADBIR) is coordinated by the University of Manchester. BADBIR is funded by the British Association of Dermatologists (BAD). The BAD receives income from Janssen Cilag, AbbVie, Novartis, Samsung Bioepis, Eli Lilly, Celgene, Almirall, and Hexal AG for providing pharmacovigilance services. This income finances a separate contract between the BAD and the University of Manchester who coordinate BADBIR. All decisions concerning analysis, interpretation, and publication are made independently of any industrial contribution. N.D. was partly supported by Health Data Research UK (MR/S003126/1), which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council; Economic and Social Research Council; Department of Health & Social Care (England); Chief Scientist Office of the Scottish Government Health and Social Care Directorates; Health and Social Care Research and Development Division (Welsh Government); Public Health Agency (Northern Ireland); British Heart Foundation; and Wellcome. N.J.R.'s laboratory is funded in part by the Newcastle NIHR Biomedical Research Centre, the Newcastle NIHR Medtech, and the In Vitro Diagnostic Co-operative and the Newcastle MRC/EPSRC Molecular Pathology Node.

    Disclosure of potential conflict of interest: M.A.S. has a contract of service with Genomics. The rest of the authors declare that they have no relevant conflicts of interest.

    These authors contributed equally to this work as co-senior authors.

    The members of the BADBIR study group (excluding individually named authors of this work) are Marilyn Benham, Sagair Hussain, Brian Kirby, Linda Lawson, Kathleen McElhone, Anthony Ormerod, and Caroline Owen.

    §

    The members of the PSORT consortium (excluding individually named authors of this work) are Michael R. Barnes, Paola Di Meglio, Richard Emsley, Andrea Evans, Katherine Payne, and Deborah Stocken.

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