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Association between functional FCGR3A F158V and FCGR2A R131H polymorphisms and responsiveness to rituximab in patients with autoimmune diseases: a meta-analysis

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Abstract

Objectives

To investigate the association between the functional Fc gamma receptor 3 A (FCGR3A) V158F and FCGR2A R131H polymorphisms and rituximab therapy in patients with autoimmune diseases.

Methods

We searched the Medline, Embase, and Cochrane databases for relevant articles. We conducted a meta-analysis of the association between FCGR3A V158F and FCGR2A R131H polymorphisms and responsiveness to rituximab in patients with autoimmune diseases.

Results

Eleven studies, consisting of 661 responders and 267 non-responders for FCGR3A V158F polymorphism and 156 responders and 89 non-responders for FCGR2A R131H polymorphism, were included. The meta-analysis revealed a significant association between the FCGR3A V allele and responsiveness to rituximab (odds ratio [OR] = 1.600, 95% confidence interval [CI] = 1.268–2.018, P < 0.001). Furthermore, associations were found using the dominant and homozygous contrast models. Subgroup analysis showed an association between the FCGR3A V allele and responsiveness to rituximab in European, RA, ITP, small (<50) and large (≥50) groups, and short- (≤6 months) and long-term follow-up periods (≥6 months). These associations were also found in recessive, dominant or homozygous contrast models. Meta-analysis revealed no association between the FCGR2A R allele and responsiveness to rituximab (OR = 1.243, 95% CI = 0.825–1.873, P = 0.229).

Conclusions

We demonstrated that the FCGR3A F158V polymorphism is associated with better responsiveness to rituximab therapy in patients with autoimmune diseases, indicating that individuals carrying the FCGR3A V allele will likely respond better to rituximab. However, FCGR2A R131H polymorphism was not associated with better response to rituximab.

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References

  1. Marrack P, Kappler J, Kotzin BL. Autoimmune disease: why and where it occurs. Nat Med. 2001;7:899–905.

    Article  CAS  PubMed  Google Scholar 

  2. Bruhns P. Properties of mouse and human IgG receptors and their contribution to disease models. Blood J Am Soc Hematol. 2012;119:5640–9.

    CAS  Google Scholar 

  3. Lee YH, Bae S-C, Song GG. The efficacy and safety of rituximab for the treatment of active rheumatoid arthritis: a systematic review and meta-analysis of randomized controlled trials. Rheumatol Int. 2011;31:1493–9.

    Article  CAS  PubMed  Google Scholar 

  4. Choi SJ, Ahn SM, Oh JS, Hong S, Lee C-K, Yoo B, et al. Initial preserved renal function as a predictor of favorable renal response to rituximab in refractory or relapsing lupus nephritis: a single-center cohort study in Korea. J Rheum Dis. 2022;29:22–32.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Do H, Pyo JY, Song JJ, Park Y-B, Lee S-W. Implication of serious infections in patients with antineutrophil cytoplasmic antibody-associated vasculitis for the first cycle of rituximab: a pilot study in a single Korean center. J Rheum Dis. 2023;30:45–52.

    Article  PubMed  Google Scholar 

  6. Ravetch JV, Bolland S. IgG Fc receptors. Annu Rev Immunol. 2001;19:275–90.

    Article  CAS  PubMed  Google Scholar 

  7. Koene HR, Kleijer M, Algra J, Roos D, von dem Borne AE, de Haas, et al. Fc gammaRIIIa-158V/F polymorphism influences the binding of IgG by natural killer cell Fc gammaRIIIa, independently of the Fc gammaRIIIa-48L/R/H phenotype. Blood. 1997;90:1109–14.

    Article  CAS  PubMed  Google Scholar 

  8. Sanders LA, Feldman RG, Voorhorst-Ogink MM, de Haas M, Rijkers GT, Capel PJ, et al. Human immunoglobulin G (IgG) Fc receptor IIA (CD32) polymorphism and IgG2-mediated bacterial phagocytosis by neutrophils. Infect Immun. 1995;63:73–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Jiménez Morales A, Maldonado‐Montoro M, Martinez de la Plata JE, Pérez Ramírez C, Daddaoua A, Alarcón Payer C, et al. FCGR2A/FCGR3A gene polymorphisms and clinical variables as predictors of response to tocilizumab and rituximab in patients with rheumatoid arthritis. J Clin Pharmacol. 2019;59:517–31.

    Article  PubMed  Google Scholar 

  10. Ellithy HN, Ahmed SH, Shahin GH, Matter MM, Talatt M. The impact of Fc gamma receptor IIa and IIIa gene polymorphisms on the therapeutic response of rituximab in Egyptian adult immune thrombocytopenic purpura. Hematology. 2018;23:169–74.

    Article  CAS  PubMed  Google Scholar 

  11. Pál I, Szamosi S, Hodosi K, Szekanecz Z, Váróczy L. Effect of Fcγ-receptor 3a (FCGR3A) gene polymorphisms on rituximab therapy in Hungarian patients with rheumatoid arthritis. RMD Open. 2017;3:e000485.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Cartin‐Ceba R, Indrakanti D, Specks U, Stone JH, Hoffman GS, Kallenberg CG, et al. The pharmacogenomic association of Fcγ receptors and cytochrome P450 enzymes with response to rituximab or cyclophosphamide treatment in antineutrophil cytoplasmic antibody–associated vasculitis. Arthritis Rheumatol. 2017;69:169–75.

    Article  PubMed  Google Scholar 

  13. Stork AC, Notermans NC, van den Berg LH, Schellevis RD, Niermeijer J-MF, Nederend M, et al. Fcγ receptor IIIA genotype is associated with rituximab response in antimyelin-associated glycoprotein neuropathy. J Neurol Neurosurg Psychiatry. 2014;85:918–20.

    Article  PubMed  Google Scholar 

  14. Quartuccio L, Fabris M, Pontarini E, Salvin S, Zabotti A, Benucci M, et al. The 158VV Fcgamma receptor 3A genotype is associated with response to rituximab in rheumatoid arthritis: results of an Italian multicentre study. Ann Rheum Dis. 2014;73:716–21.

    Article  CAS  PubMed  Google Scholar 

  15. Zhu Y, Zhuang Y, Yang G-H, Qiang X-F, Yang L, Shen Y-F. Polymorphisms of FcγRIIA, FcγRIIIA and FcγRIIB in patients with immune thrombocytopenia and their clinical significance. Zhongguo Shi Yan Xue Ye Xue Za Zhi. 2013;21:135–9.

    CAS  PubMed  Google Scholar 

  16. Kastbom A, Cöster L, Ärlestig L, Chatzidionysiou A, van Vollenhoven RF, Padyukov L, et al. Influence of FCGR3A genotype on the therapeutic response to rituximab in rheumatoid arthritis: an observational cohort study. BMJ Open. 2012;2;e001524.

  17. Ruyssen-Witrand A, Rouanet S, Combe B, Dougados M, Le Loët X, Sibilia J, et al. Fcγ receptor type IIIA polymorphism influences treatment outcomes in patients with rheumatoid arthritis treated with rituximab. Ann Rheum Dis. 2012;71:875–7.

    Article  CAS  PubMed  Google Scholar 

  18. Robledo G, Márquez A, Dávila-Fajardo CL, Ortego-Centeno N, Rubio JLC, Garrido EDR, et al. Association of the FCGR3A-158F/V gene polymorphism with the response to rituximab treatment in Spanish systemic autoimmune disease patients. DNA Cell Biol. 2012;31:1671–7.

    Article  CAS  PubMed  Google Scholar 

  19. Cooper N, Stasi R, Cunningham‐Rundles S, Cesarman E, McFarland JG, Bussel JB. Platelet‐associated antibodies, cellular immunity and FCGR3a genotype influence the response to rituximab in immune thrombocytopenia. Br J Haematol. 2012;158:539–47.

    Article  CAS  PubMed  Google Scholar 

  20. Lee YH, Song GG. The gut microbiome and osteoarthritis: a two-sample mendelian randomization study. J Rheum Dis. 2021;28:94–100.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Lee YH. An overview of meta-analysis for clinicians. Korean J Intern Med. 2018;33:277.

    Article  PubMed  Google Scholar 

  22. Lee Y-H, Bae S-C, Song G-G. Omega-3 polyunsaturated fatty acids and the treatment of rheumatoid arthritis: a meta-analysis. Arch Med Res. 2012;43:356–62.

    Article  CAS  PubMed  Google Scholar 

  23. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539–58.

    Article  PubMed  Google Scholar 

  24. Egger M, Smith GD, Phillips AN. Meta-analysis: principles and procedures. BMJ. 1997;315:1533–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177–88.

    Article  CAS  PubMed  Google Scholar 

  26. Wells G, Shea B, O’connell D, Peterson J, Welch V, Losos M, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. 2013. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp.

  27. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Louis E, El Ghoul Z, Vermeire S, Dall’Ozzo S, Rutgeerts P, Paintaud G, et al. Association between polymorphism in IgG Fc receptor IIIa coding gene and biological response to infliximab in Crohn’s disease. Alimentary Pharmacol Ther. 2004;19:511–9.

    Article  CAS  Google Scholar 

  29. Arend WP. The innate immune system in rheumatoid arthritis. Arthritis Rheum. 2001;44:2224–34.

    Article  CAS  PubMed  Google Scholar 

  30. Liu D, Tian Y, Sun D, Sun H, Jin Y, Dong M. The FCGR3A polymorphism predicts the response to rituximab-based therapy in patients with non-Hodgkin lymphoma: a meta-analysis. Ann Hematol. 2016;95:1483–90.

    Article  CAS  PubMed  Google Scholar 

  31. Lee YH, Ji JD, Song GG. Associations between FCGR3A polymorphisms and susceptibility to rheumatoid arthritis: a metaanalysis. J Rheumatol. 2008;35:2129–35.

    Article  PubMed  Google Scholar 

  32. Choi SJ, Rho YH, Ji JD, Song GG, Lee YH. Genome scan meta-analysis of rheumatoid arthritis. Rheumatology. 2006;45:166–70.

    Article  CAS  PubMed  Google Scholar 

  33. Raychaudhuri S, Thomson BP, Remmers EF, Eyre S, Hinks A, Guiducci C, et al. Genetic variants at CD28, PRDM1 and CD2/CD58 are associated with rheumatoid arthritis risk. Nat Genet. 2009;41:1313–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Su K, Wu J, Edberg JC, McKenzie SE, Kimberly RP. Genomic organization of classical human low-affinity Fcgamma receptor genes. Genes Immun. 2002;3:S51–6.

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Young Ho Lee.

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Lee, Y.H., Song, G.G. Association between functional FCGR3A F158V and FCGR2A R131H polymorphisms and responsiveness to rituximab in patients with autoimmune diseases: a meta-analysis. Pharmacogenomics J 23, 210–216 (2023). https://doi.org/10.1038/s41397-023-00308-9

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