OBJECTIVES: To review studies that address prediction of response to biologic treatment in RA and to explore the clinical utility of the studied (bio)markers. METHODS: A search for relevant articles was performed in PubMed, Embase and Cochrane databases. Studies that presented predictive values or in which these could be calculated were selected. The added value was determined by the added value on prior probability for each (bio)marker. Only an increase/decrease in chance of response ⩾15% was considered clinically relevant, whereas in oncology values >25% are common. RESULTS: Of the 57 eligible studies, 14 (bio)markers were studied in more than one cohort and an overview of the added predictive value of each marker is presented. Of the replicated predictors, none consistently showed an increase/decrease in probability of response ⩾15%. However, positivity of RF and ACPA in case of rituximab and the presence of the TNF-α promoter 308 GG genotype for TNF inhibitor therapy were consistently predictive, yet low in added predictive value. Besides these, 65 (bio)markers studied once showed remarkably high (but not validated) predictive values. CONCLUSION: We were unable to address clinically useful baseline (bio)markers for use in individually tailored treatment. Some predictors are consistently predictive, yet low in added predictive value, while several others are promising but await replication. The challenge now is to design studies to validate all explored and promising findings individually and in combination to make these (bio)markers relevant to clinical practice.
OBJECTIVES: To review studies that address prediction of response to biologic treatment in RA and to explore the clinical utility of the studied (bio)markers. METHODS: A search for relevant articles was performed in PubMed, Embase and Cochrane databases. Studies that presented predictive values or in which these could be calculated were selected. The added value was determined by the added value on prior probability for each (bio)marker. Only an increase/decrease in chance of response ⩾15% was considered clinically relevant, whereas in oncology values >25% are common. RESULTS: Of the 57 eligible studies, 14 (bio)markers were studied in more than one cohort and an overview of the added predictive value of each marker is presented. Of the replicated predictors, none consistently showed an increase/decrease in probability of response ⩾15%. However, positivity of RF and ACPA in case of rituximab and the presence of the TNF-α promoter 308 GG genotype for TNF inhibitor therapy were consistently predictive, yet low in added predictive value. Besides these, 65 (bio)markers studied once showed remarkably high (but not validated) predictive values. CONCLUSION: We were unable to address clinically useful baseline (bio)markers for use in individually tailored treatment. Some predictors are consistently predictive, yet low in added predictive value, while several others are promising but await replication. The challenge now is to design studies to validate all explored and promising findings individually and in combination to make these (bio)markers relevant to clinical practice.
Authors: Bart V J Cuppen; Marzia Rossato; Ruth D E Fritsch-Stork; Arno N Concepcion; Yolande Schenk; Johannes W J Bijlsma; Timothy R D J Radstake; Floris P J G Lafeber Journal: Arthritis Res Ther Date: 2016-08-24 Impact factor: 5.156
Authors: Carmelo Pirone; Claudia Mendoza-Pinto; Daniëlle A van der Windt; Ben Parker; Miriam O Sullivan; Ian N Bruce Journal: Semin Arthritis Rheum Date: 2017-05-05 Impact factor: 5.532
Authors: Bart V J Cuppen; Junzeng Fu; Herman A van Wietmarschen; Amy C Harms; Slavik Koval; Anne C A Marijnissen; Judith J W Peeters; Johannes W J Bijlsma; Janneke Tekstra; Jacob M van Laar; Thomas Hankemeier; Floris P J G Lafeber; Jan van der Greef Journal: PLoS One Date: 2016-09-15 Impact factor: 3.240
Authors: Maike H M Wientjes; Sadaf Atiqi; Gerrit Jan Wolbink; Michael T Nurmohamed; Maarten Boers; Theo Rispens; Annick de Vries; Ronald F van Vollenhoven; Bart J F van den Bemt; Alfons A den Broeder Journal: Trials Date: 2021-06-19 Impact factor: 2.279
Authors: Lieke Tweehuysen; Cornelia H van den Ende; Fenna M M Beeren; Evelien M J Been; Frank H J van den Hoogen; Alfons A den Broeder Journal: Arthritis Rheumatol Date: 2017-02 Impact factor: 10.995