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    • Psoriasis
    • Griffiths, Christopher EMRemove Griffiths, Christopher EM filter
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    • Original Article Clinical Research
      Open Archive

      A Framework for Multi-Omic Prediction of Treatment Response to Biologic Therapy for Psoriasis

      Journal of Investigative Dermatology
      Vol. 139Issue 1p100–107Published online: July 17, 2018
      • Amy C. Foulkes
      • David S. Watson
      • Daniel F. Carr
      • John G. Kenny
      • Timothy Slidel
      • Richard Parslew
      • and others
      Cited in Scopus: 21
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        Biologic therapies have shown high efficacy in psoriasis, but individual response varies and is poorly understood. To inform biomarker discovery in the Psoriasis Stratification to Optimise Relevant Therapy (i.e., PSORT) study, we evaluated a comprehensive array of omics platforms across three time points and multiple tissues in a pilot investigation of 10 patients with severe psoriasis, treated with the tumor necrosis factor (TNF) inhibitor, etanercept. We used RNA sequencing to analyze mRNA and small RNA transcriptome in blood, lesional and nonlesional skin, and the SOMAscan platform to investigate the serum proteome.
        A Framework for Multi-Omic Prediction of Treatment Response to Biologic Therapy for Psoriasis
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