BackgroundIdentifying reliable biomarkers of response to biologics in rheumatoid arthritis (RA) is necessary to improve responsiveness, preserve functions and structure of joints, as well as to reduce treatment’s cost. Single nucleotide polymorphisms (SNP’s) of Fc-gamma receptors genes (FCGRs), by inducing a variation of receptors’ affinity to Fc fragment of Gamma immunoglobulin, might influence the efficacy of therapeutic monoclonal antibodies by modifying their clearance.ObjectivesThe aim of this study was to investigate whether FCGR2A, FCGR3A and FCGR3B SNP’s were predictive factors of response to rituximab (RTX) in Tunisian RA patients.MethodsA cross-sectional, observational and analytic multicentric cohort study was conducted in a group of patients suffering from RA treated with RTX. Treatment outcome was evaluated after 6 months, using DAS28 variation from baseline and EULAR response criteria. R131H-FCGR2A, F158V-FCGR3A and NA1/NA2-FCGR3B SNPs were studied using PCR-SSP and direct sequencing process.ResultsThirty-four patients were enrolled with a sexe ratio M/F=5/29. The mean age at inclusion was 54,24±11,78 years [29-77]. All patients received at least one cs-DMARDS priorly to the prescription of RTX. Concomitant treatment with methotrexate was pursued in 77,3% of patients. As shown in Table 1, an association, that tend to signification, was found between R/R FCGR2A receptors and a greater variation in DAS28 score (p=0,053). This association was also found using EULAR criteria, since all patients with R/R genotypes had a good or moderate response to RTX but was not significative (p=0,131).Table 1.Correlation of FCGR SNPs with response to rituximab at 6 months of treatmentGenetic studyΔDAS28CRPpΔDAS28ESRpEULAR (R-) (n=7)EULAR (R+) (n=27)PFCGR2A R131H*0,1380,7610,301GenotypesRR2,53±1,560,0531,83±0,750,4800(0)7 (100)0,131HH2,05±2,510,8682,29±1,640,6831 (33,3)2 (66,7)0,576RH1,09±1,360,062,00±1,730,8556 (25)18(75)0,324AllelesR1,45±1,520,8681,96±1,490,6836 (0,194)25(0,806)0,576H1,17±1,430,0532,1±1,600,4807 (0,259)20(0,741)0,131FCGR3A F158V*0,4280,8730,370GenotypesFF1,35±1,570,8601,91±1,860,7052 (16,7)10(83,3)0,676VV0,95±0,980,2882,85±0,320,6371 (10)9(90)0,324FV2,06±1,830,2371,84±1,5114 (33,3)8(66,7)0,175AllelesF1,72±1,700,2881,87±1,560,6376 (0,25)18(0,75)0,324V1,56±1,570,8602,13±1,330,7055(0,227)17(0,773)0,676FCGR3B NA1/NA2*0,2170,4850,645GenotypesNA1NA12,29±1,810,092,13±1,080,7152(22,2)7 (78,8)0,888NA2NA20,79±1,300,3290,60,3432 (33,3)4 (66,7)0,395NA1NA21,23±1,360,3912,28±2,070,3453 (15,8)16(84,2)0,436AllelesNA21,15±1,330,091,95±1,950,7155 (0,20)20(0,80)0,888NA11,60±1,580,3292,19±1,450,3435 (0,179)23(0,821)0,395DAS: disease activity score,ΔDAS: mean variation of DAS at 6 months, *:Comparison of the global distribution of the 3 genotypes,**: p while comparing the prevalence of R/R genotype to R/H and H/H genotypes,R+: good or moderate EULAR response,R-: bad EULAR responseConclusionThe low affinity receptor R/R FcgRIIa might be predictive of good response in RA patients treated with RTX. More studies need to be conducted in larger cohorts to confirm this association, with the aim of identifying reliable biomarkers of response to biologics to improve responsiveness, preserve joints functions and structure, as well as reduce treatment’s cost.Disclosure of InterestsNone declared