Are there any predictive markers for efficacy of biological therapy?
Authors:
O. Kryštůfková
Authors place of work:
Revmatologický ústav a Klinika revmatologie, 1. lékařská fakulta, UK, Praha
Published in the journal:
Čes. Revmatol., 19, 2011, No. 2, p. 68-72.
Category:
Posts from Congress
Summary
The goal of the treatment of rheumatic diseases is an early and long-term remission. The number of available biological drugs in rheumatology increases, nevertheless 30% of patients does not respond to this therapy. Therefore, there has been a search for biomarkers associated with good response which would allow us to start optimally effective treatment tailored for individual patients on time with minimal risk of side effects and at minimal costs. Nowadays, genetic and non-genetic predictors for efficacy of biological therapy are being studied. The latter ones comprise acute phase reactants, autoantibodies, cytokines and receptors that are studied at both protein and RNA transcript levels in blood and synovial tissue. The study of the predictive value of response to therapy shifts from monitoring individual parameters to examination of protein and transcription profiles. The topic has been elaborated as an informative report about current options of finding predictors for response to biological treatment.
Key words:
biological therapy, biomarkers, farmakogenetic predictors, protein and expression profiles, TNFα blocking drugs
Zdroje
1. Verweij CL. Predicting the future of anti-tumor necrosis factor therapy. Arthritis Res Ther 2009; 11: 115.
2. Scherer HU, Dorner T, Burmester GR. Patient-tailored therapy in rheumatoid arthritis: an editorial review. Curr Opin Rheumatol 22: 237-45.
3. Gibbons LJ, Hyrich KL. Biologic therapy for rheumatoid arthritis: clinical efficacy and predictors of response. BioDrugs 2009; 23: 111-24.
4. van der Linden MP, Feitsma AL, le Cessie S, et al. Association of a single-nucleotide polymorphism in CD40 with the rate of joint destruction in rheumatoid arthritis. Arthritis Rheum 2009; 60: 2242-7.
5. Scherer HU, van der Linden MP, Kurreeman FA, et al. Association of the 6q23 region with the rate of joint destruction in rheumatoid arthritis. Ann Rheum Dis 69: 567-70.
6. Hoppe B, Haupl T, Egerer K, et al. Influence of peptidylarginine deiminase type 4 genotype and shared epitope on clinical characteristics and autoantibody profile of rheumatoid arthritis. Ann Rheum Dis 2009; 68: 898-903.
7. van der Helm-van Mil AH, le Cessie S, van Dongen H, et al. A prediction rule for disease outcome in patients with recent-onset undifferentiated arthritis: how to guide individual treatment decisions. Arthritis Rheum 2007; 56: 433-40.
8. Mjaavatten MD, Uhlig T, Haugen AJ, et al. Positive anti-citrullinated protein antibody status and small joint arthritis are consistent predictors of chronic disease in patients with very early arthritis: results from the NOR-VEAC cohort. Arthritis Res Ther 2009; 11: R146.
9. van der Helm-van Mil AH, Detert J, le Cessie S, et al. Validation of a prediction rule for disease outcome in patients with recent-onset undifferentiated arthritis: moving toward individualized treatment decision-making. Arthritis Rheum 2008; 58: 2241-7.
10. Buch MH, Bingham SJ, Bejarano V, et al. Therapy of patients with rheumatoid arthritis: outcome of infliximab failures switched to etanercept. Arthritis Rheum 2007; 57: 448-53.
11. Cohen G, Courvoisier N, Cohen JD, et al. The efficiency of switching from infliximab to etanercept and vice-versa in patients with rheumatoid arthritis. Clin Exp Rheumatol 2005; 23: 795-800.
12. Hyrich KL, Lunt M, Watson KD, et al. Outcomes after switching from one anti-tumor necrosis factor alpha agent to a second anti-tumor necrosis factor alpha agent in patients with rheumatoid arthritis: results from a large UK national cohort study. Arthritis Rheum 2007; 56: 13-20.
13. Pavy S, Toonen EJ, Miceli-Richard C, et al. Tumour necrosis factor alpha -308G->A polymorphism is not associated with response to TNFalpha blockers in Caucasian patients with rheumatoid arthritis: systematic review and meta-analysis. Ann Rheum Dis 69: 1022-8.
14. Wijbrandts CA, Dijkgraaf MG, Kraan MC, et al. The clinical response to infliximab in rheumatoid arthritis is in part dependent on pretreatment tumour necrosis factor alpha expression in the synovium. Ann Rheum Dis 2008; 67: 1139-44.
15. Potter C, Hyrich KL, Tracey A, et al. Association of rheumatoid factor and anti-cyclic citrullinated peptide positivity, but not carriage of shared epitope or PTPN22 susceptibility variants, with anti-tumour necrosis factor response in rheumatoid arthritis. Ann Rheum Dis 2009; 68: 69-74.
16. Braun-Moscovici Y, Markovits D, Zinder O, et al. Anti-cyclic citrullinated protein antibodies as a predictor of response to anti-tumor necrosis factor-alpha therapy in patients with rheumatoid arthritis. J Rheumatol 2006; 33: 497-500.
17. Bobbio-Pallavicini F, Caporali R, Alpini C, et al. High IgA rheumatoid factor levels are associated with poor clinical response to tumour necrosis factor alpha inhibitors in rheumatoid arthritis. Ann Rheum Dis 2007; 66: 302-7.
18. Buch MH, Seto Y, Bingham SJ, et al. C-reactive protein as a predictor of infliximab treatment outcome in patients with rheumatoid arthritis: defining subtypes of nonresponse and subsequent response to etanercept. Arthritis Rheum 2005; 52: 42-8.
19. Wolbink GJ, Voskuyl AE, Lems WF, et al. Relationship between serum trough infliximab levels, pretreatment C reactive protein levels, and clinical response to infliximab treatment in patients with rheumatoid arthritis. Ann Rheum Dis 2005; 64: 704-7.
20. Emery P, Gabay C, Kraan M, et al. Evidence-based review of biologic markers as indicators of disease progression and remission in rheumatoid arthritis. Rheumatol Int 2007; 27: 793-806.
21. Marotte H, Maslinski W, Miossec P. Circulating tumour necrosis factor-alpha bioactivity in rheumatoid arthritis patients treated with infliximab: link to clinical response. Arthritis Res Ther 2005; 7: R149-55.
22. Gonzalez-Alvaro I, Ortiz AM, Tomero EG, et al. Baseline serum RANKL levels may serve to predict remission in rheumatoid arthritis patients treated with TNF antagonists. Ann Rheum Dis 2007; 66: 1675-8.
23. Verweij CL. Transcript profiling towards personalised medicine in rheumatoid arthritis. Neth J Med 2009; 67: 364-71.
24. van Baarsen LG, Bos CL, van der Pouw Kraan TC, et al. Transcription profiling of rheumatic diseases. Arthritis Res Ther 2009; 11: 207.
25. Hueber W, Tomooka BH, Batliwalla F, et al. Blood autoantibody and cytokine profiles predict response to anti-tumor necrosis factor therapy in rheumatoid arthritis. Arthritis Res Ther 2009; 11: R76.
26. Stuhlmuller B, Haupl T, Hernandez MM, et al. CD11c as a transcriptional biomarker to predict response to anti-TNF monotherapy with adalimumab in patients with rheumatoid arthritis. Clin Pharmacol Ther 0000; 87: 311-21.
27. Lindberg J, Wijbrandts CA, van Baarsen LG, et al. The gene expression profile in the synovium as a predictor of the clinical response to infliximab treatment in rheumatoid arthritis. PLoS One, 5: e11310.
28. Criswell LA, Lum RF, Turner KN, et al. The influence of genetic variation in the HLA-DRB1 and LTA-TNF regions on the response to treatment of early rheumatoid arthritis with methotrexate or etanercept. Arthritis Rheum 2004; 50: 2750-6.
29. Marotte H, Pallot-Prades B, Grange L, et al. The shared epitope is a marker of severity associated with selection for, but not with response to, infliximab in a large rheumatoid arthritis population. Ann Rheum Dis 2006; 65: 342-7.
30. Mugnier B, Balandraud N, Darque A, et al. Polymorphism at position -308 of the tumor necrosis factor alpha gene influences outcome of infliximab therapy in rheumatoid arthritis. Arthritis Rheum 2003; 48: 1849-52.
31. Fonseca JE, Carvalho T, Cruz M, et al. Polymorphism at position -308 of the tumour necrosis factor alpha gene and rheumatoid arthritis pharmacogenetics. Ann Rheum Dis 2005; 64: 793-4.
32. Cuchacovich M, Soto L, Edwardes M, et al. Tumour necrosis factor (TNF)alpha -308 G/G promoter polymorphism and TNFalpha levels correlate with a better response to adalimumab in patients with rheumatoid arthritis. Scand J Rheumatol 2006; 35: 435-40.
33. Seitz M, Wirthmuller U, Moller B, et al. The -308 tumour necrosis factor-alpha gene polymorphism predicts therapeutic response to TNFalpha-blockers in rheumatoid arthritis and spondyloarthritis patients. Rheumatology (Oxford), 2007; 46: 93-6.
34. Guis S, Balandraud N, Bouvenot J, et al. Influence of -308 A/G polymorphism in the tumor necrosis factor alpha gene on etanercept treatment in rheumatoid arthritis. Arthritis Rheum 2007; 57: 1426-30.
35. Miceli-Richard C, Comets E, Verstuyft C, et al. A single tumour necrosis factor haplotype influences the response to adalimumab in rheumatoid arthritis. Ann Rheum Dis 2008; 67: 478-84.
36. Padyukov L, Lampa J, Heimburger M, et al. Genetic markers for the efficacy of tumour necrosis factor blocking therapy in rheumatoid arthritis. Ann Rheum Dis 2003; 62: 526-9.
37. Kang CP, Lee KW, Yoo DH, et al. The influence of a polymorphism at position -857 of the tumour necrosis factor alpha gene on clinical response to etanercept therapy in rheumatoid arthritis. Rheumatology (Oxford), 2005; 44: 547-52.
38. Tutuncu Z, Kavanaugh A, Zvaifler N, et al. Fcgamma receptor type IIIA polymorphisms influence treatment outcomes in patients with inflammatory arthritis treated with tumor necrosis factor alpha-blocking agents. Arthritis Rheum 2005; 52: 2693-6.
Štítky
Dermatology & STDs Paediatric rheumatology RheumatologyČlánok vyšiel v časopise
Czech Rheumatology
2011 Číslo 2
Najčítanejšie v tomto čísle
- Treatment with biological drugs in special situations (pregnancy, lactation, vaccination and surgery)
- Extraarticular manifestations of rheumatic diseases and the possibilities of their alleviation by biological therapy
- Biological therapy of rheumatoid arthritis and the risk of tumorous diseases
- Occurrence of infections under treatment with TNF alpha antagonists in ATTRA registry