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Meeting Report: Psoriasis Stratification to Optimize Relevant Therapy Showcase.
Yiu, Zenas Z N; Barker, Jonathan N W N; Barnes, Michael R; Di Meglio, Paola; Emsley, Richard; Reynolds, Nick J; Smith, Catherine H; Warren, Richard B; Griffiths, Christopher E M.
Afiliação
  • Yiu ZZN; Centre for Dermatology Research, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, United Kingdom.
  • Barker JNWN; St. John's Institute of Dermatology, King's College London, London, United Kingdom; NIHR Biomedical Research Centre, Guys and St Thomas NHS Foundation Trust and King's College London, London, United Kingdom.
  • Barnes MR; Centre for Translational Bioinformatics, The William Harvey Research Institute - Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
  • Di Meglio P; St. John's Institute of Dermatology, King's College London, London, United Kingdom; NIHR Biomedical Research Centre, Guys and St Thomas NHS Foundation Trust and King's College London, London, United Kingdom.
  • Emsley R; Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
  • Reynolds NJ; Institute of Translational and Clinical Medicine, Newcastle University Medical School, Newcastle upon Tyne, United Kingdom; Department of Dermatology, Royal Victoria Infirmary, Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom.
  • Smith CH; St. John's Institute of Dermatology, King's College London, London, United Kingdom; NIHR Biomedical Research Centre, Guys and St Thomas NHS Foundation Trust and King's College London, London, United Kingdom.
  • Warren RB; Centre for Dermatology Research, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, United Kingdom.
  • Griffiths CEM; Centre for Dermatology Research, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, United Kingdom. Electronic address: Christopher.griffiths@manchester.ac.uk.
J Invest Dermatol ; 141(8): 1872-1878, 2021 08.
Article em En | MEDLINE | ID: mdl-33771529
ABSTRACT
A stratified medicine approach for the treatment of psoriasis promises greater certainty of clinical decision making through prediction of response on the basis of clinical, pharmacological, and -omics data from an individual patient. As yet, there is no predictive model for treatment response in routine clinical use for psoriasis. The Psoriasis Stratification to Optimise Relevant Therapy (PSORT) Consortium is a United Kingdom Medical Research Council‒funded, academic‒industrial stratified medicine consortium established with the objective of discovering the predictors and stratifiers of response of psoriasis to biologic therapies. A showcase meeting was convened and attended by 80 stakeholders at the Royal College of Physicians, London, United Kingdom on 18 November 2019. The purpose was to disseminate the research findings from the PSORT consortium discovered thus far. This report summarizes the presentations made on the day and the significant advances made by PSORT toward a stratified medicine approach to the management of psoriasis.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psoríase / Produtos Biológicos / Medicina de Precisão Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: J Invest Dermatol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psoríase / Produtos Biológicos / Medicina de Precisão Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: J Invest Dermatol Ano de publicação: 2021 Tipo de documento: Article