OBJECTIVES: There is an association between the FcGRIIIa polymorphism and the development of rheumatoid arthritis (RA). Studies in non-Hodgkin lymphoma demonstrated a relationship between the FcGRIIIa polymorphism and response to anti-CD20 therapies. However, there are currently no published studies evaluating the relationship between this polymorphism and therapeutic response to treatment with anti-CD20 agents such as rituximab in RA. We conducted a study to identify if the FcGRIIIa polymorphism is associated with rituximab efficacy in patients with RA. METHODS: Subjects with RA treated with rituximab (cases, n=158) or TNF-α antagonist (controls, n=390) were recruited from the Consortium of Rheumatology Researchers of North America. The FcGRIIIa variant was genotyped for all subjects and longitudinal patient outcomes were assessed using the clinical disease activity index (CDAI). We used a linear regression random effects model to estimate CDAI scores over time with multiple time points nested within patient. RESULTS: Similar changes in CDAI were observed across the three FcGRIIIa genotypes for the rituximab treated group (VV [4.56, SD 14.5]), VF (7.44, SD 14.9) and FF (4.75, SD 10.8) (p >0.05)] and the TNF-α antagonist therapy treated group [VV (5.12, SD 14.6), VF (6.77, SD 15.9), and FF (4.36, SD 18.2) (p >0.05). Overall, there were similar changes in CDAI at 6 months for rituximab (-5.91, SD 14.1) and anti-TNFs (-5.77, SD 15.5) (p >0.05). The FcGRIIIa genotype was not significantly associated (p=0.86) with treatment response in rituximab treated RA patients compared with TNF-α antagonist therapy treated patients. Baseline CDAI and number of prior biologics were significant predictors of clinical response over time. CONCLUSIONS: Our finding emphasises the idea that determinants of response to treatment are complex and may be dependent upon genetic and phenotypic interactions. Future studies should analyse the interaction between the FcGRIIIa gene, other neighbouring polymorphisms and other phenotypic and environmental factors.
OBJECTIVES: There is an association between the FcGRIIIa polymorphism and the development of rheumatoid arthritis (RA). Studies in non-Hodgkin lymphoma demonstrated a relationship between the FcGRIIIa polymorphism and response to anti-CD20 therapies. However, there are currently no published studies evaluating the relationship between this polymorphism and therapeutic response to treatment with anti-CD20 agents such as rituximab in RA. We conducted a study to identify if the FcGRIIIa polymorphism is associated with rituximab efficacy in patients with RA. METHODS: Subjects with RA treated with rituximab (cases, n=158) or TNF-α antagonist (controls, n=390) were recruited from the Consortium of Rheumatology Researchers of North America. The FcGRIIIa variant was genotyped for all subjects and longitudinal patient outcomes were assessed using the clinical disease activity index (CDAI). We used a linear regression random effects model to estimate CDAI scores over time with multiple time points nested within patient. RESULTS: Similar changes in CDAI were observed across the three FcGRIIIa genotypes for the rituximab treated group (VV [4.56, SD 14.5]), VF (7.44, SD 14.9) and FF (4.75, SD 10.8) (p >0.05)] and the TNF-α antagonist therapy treated group [VV (5.12, SD 14.6), VF (6.77, SD 15.9), and FF (4.36, SD 18.2) (p >0.05). Overall, there were similar changes in CDAI at 6 months for rituximab (-5.91, SD 14.1) and anti-TNFs (-5.77, SD 15.5) (p >0.05). The FcGRIIIa genotype was not significantly associated (p=0.86) with treatment response in rituximab treated RApatients compared with TNF-α antagonist therapy treated patients. Baseline CDAI and number of prior biologics were significant predictors of clinical response over time. CONCLUSIONS: Our finding emphasises the idea that determinants of response to treatment are complex and may be dependent upon genetic and phenotypic interactions. Future studies should analyse the interaction between the FcGRIIIa gene, other neighbouring polymorphisms and other phenotypic and environmental factors.
Authors: E Mendrinou; A Patsatsi; E Zafiriou; D Papadopoulou; L Aggelou; C Sarri; Z Mamuris; A Kyriakou; D Sotiriadis; A Roussaki-Schulze; T Sarafidou; Y Vasilopoulos Journal: Pharmacogenomics J Date: 2016-04-05 Impact factor: 3.550
Authors: Sabine Blaschke; Kathinka Rinke; Michael Maring; Thomas Flad; Susann Patschan; Olaf Jahn; Claudia A Mueller; Gerhard A Mueller; Hassan Dihazi Journal: Arthritis Res Ther Date: 2015-03-06 Impact factor: 5.156