메뉴 건너뛰기




Volumn 8, Issue 1, 2015, Pages

Blood-based identification of non-responders to anti-TNF therapy in rheumatoid arthritis

Author keywords

Anti TNF therapy; Classifier; Infliximab; Rheumatoid arthritis

Indexed keywords

CALGRANULIN A; CALGRANULIN B; EPIDERMAL GROWTH FACTOR RECEPTOR 2; GAMMA SECRETASE; HEPATOCYTE NUCLEAR FACTOR 3BETA; HYPOXIA INDUCIBLE FACTOR 1ALPHA; IMMUNOGLOBULIN ENHANCER BINDING PROTEIN; INDUCIBLE NITRIC OXIDE SYNTHASE; INFLIXIMAB; INTERLEUKIN 11; NORADRENALIN; SULINDAC SULFIDE; TUMOR NECROSIS FACTOR; ANTIRHEUMATIC AGENT; BIOLOGICAL PRODUCT;

EID: 84930640113     PISSN: None     EISSN: 17558794     Source Type: Journal    
DOI: 10.1186/s12920-015-0100-6     Document Type: Article
Times cited : (29)

References (42)
  • 1
    • 0038047917 scopus 로고    scopus 로고
    • How does infliximab work in rheumatoid arthritis?
    • 3238217 12110154
    • Maini RN, Feldmann M. How does infliximab work in rheumatoid arthritis? Arthritis Res. 2002;4 Suppl 2:S22-8.
    • (2002) Arthritis Res , vol.4 , pp. 22-28
    • Maini, R.N.1    Feldmann, M.2
  • 2
    • 67649961801 scopus 로고    scopus 로고
    • Biologic therapy for rheumatoid arthritis: Clinical efficacy and predictors of response
    • 1:CAS:528:DC%2BD1MXovFSnsbg%3D 19489652
    • Gibbons LJ, Hyrich KL. Biologic therapy for rheumatoid arthritis: clinical efficacy and predictors of response. BioDrugs. 2009;23(2):111-24.
    • (2009) BioDrugs , vol.23 , Issue.2 , pp. 111-124
    • Gibbons, L.J.1    Hyrich, K.L.2
  • 3
    • 79251471130 scopus 로고    scopus 로고
    • Treatment of rheumatoid arthritis with tumour necrosis factor inhibitors
    • 1:CAS:528:DC%2BC3MXhslWhuro%3D 3042190 21039421
    • Mewar D, Wilson AG. Treatment of rheumatoid arthritis with tumour necrosis factor inhibitors. Br J Pharmacol. 2011;162(4):785-91.
    • (2011) Br J Pharmacol , vol.162 , Issue.4 , pp. 785-791
    • Mewar, D.1    Wilson, A.G.2
  • 4
    • 80455131338 scopus 로고    scopus 로고
    • Genetic and genomic predictors of anti-TNF response
    • 1:CAS:528:DC%2BC3MXhtlyqtrfI 22044414
    • Prajapati R, Plant D, Barton A. Genetic and genomic predictors of anti-TNF response. Pharmacogenomics. 2011;12(11):1571-85.
    • (2011) Pharmacogenomics , vol.12 , Issue.11 , pp. 1571-1585
    • Prajapati, R.1    Plant, D.2    Barton, A.3
  • 7
    • 84890283772 scopus 로고    scopus 로고
    • Non-tumor necrosis factor-based biologic therapies for rheumatoid arthritis: Present, future, and insights into pathogenesis
    • 1:CAS:528:DC%2BC2cXhslSjsrvL 3861294 24353404
    • Paula FS, Alves JD. Non-tumor necrosis factor-based biologic therapies for rheumatoid arthritis: present, future, and insights into pathogenesis. Biologics. 2014;8:1-12.
    • (2014) Biologics , vol.8 , pp. 1-12
    • Paula, F.S.1    Alves, J.D.2
  • 9
    • 44849130695 scopus 로고    scopus 로고
    • Messenger ribonucleic acid expression profile in peripheral blood cells from RA patients following treatment with an anti-TNF-alpha monoclonal antibody, infliximab
    • 1:CAS:528:DC%2BD1cXmtlent70%3D
    • Sekiguchi N, Kawauchi S, Furuya T, Inaba N, Matsuda K, Ando S, et al. Messenger ribonucleic acid expression profile in peripheral blood cells from RA patients following treatment with an anti-TNF-alpha monoclonal antibody, infliximab. Rheumatol Oxf. 2008;47(6):780-8.
    • (2008) Rheumatol Oxf , vol.47 , Issue.6 , pp. 780-788
    • Sekiguchi, N.1    Kawauchi, S.2    Furuya, T.3    Inaba, N.4    Matsuda, K.5    Ando, S.6
  • 10
    • 70449571942 scopus 로고    scopus 로고
    • An eight-gene blood expression profile predicts the response to infliximab in rheumatoid arthritis
    • 2762038 19847310
    • Julia A, Erra A, Palacio C, Tomas C, Sans X, Barcelo P, et al. An eight-gene blood expression profile predicts the response to infliximab in rheumatoid arthritis. PLoS One. 2009;4(10):e7556.
    • (2009) PLoS One , vol.4 , Issue.10 , pp. 7556
    • Julia, A.1    Erra, A.2    Palacio, C.3    Tomas, C.4    Sans, X.5    Barcelo, P.6
  • 11
    • 67949101911 scopus 로고    scopus 로고
    • Prediction of efficacy of anti-TNF biologic agent, infliximab, for rheumatoid arthritis patients using a comprehensive transcriptome analysis of white blood cells
    • 1:CAS:528:DC%2BD1MXps1Cht74%3D 19577537
    • Tanino M, Matoba R, Nakamura S, Kameda H, Amano K, Okayama T, et al. Prediction of efficacy of anti-TNF biologic agent, infliximab, for rheumatoid arthritis patients using a comprehensive transcriptome analysis of white blood cells. Biochem Biophys Res Commun. 2009;387(2):261-5.
    • (2009) Biochem Biophys Res Commun , vol.387 , Issue.2 , pp. 261-265
    • Tanino, M.1    Matoba, R.2    Nakamura, S.3    Kameda, H.4    Amano, K.5    Okayama, T.6
  • 12
    • 77149137696 scopus 로고    scopus 로고
    • CD11c as a transcriptional biomarker to predict response to anti-TNF monotherapy with adalimumab in patients with rheumatoid arthritis
    • 1:STN:280:DC%2BC3c7htVCrtw%3D%3D 20032971
    • Stuhlmuller B, Haupl T, Hernandez MM, Grutzkau A, Kuban RJ, Tandon N, et al. CD11c as a transcriptional biomarker to predict response to anti-TNF monotherapy with adalimumab in patients with rheumatoid arthritis. Clin Pharmacol Ther. 2010;87(3):311-21.
    • (2010) Clin Pharmacol Ther , vol.87 , Issue.3 , pp. 311-321
    • Stuhlmuller, B.1    Haupl, T.2    Hernandez, M.M.3    Grutzkau, A.4    Kuban, R.J.5    Tandon, N.6
  • 13
    • 84901611446 scopus 로고    scopus 로고
    • Prediction of therapeutic responses to tocilizumab in patients with rheumatoid arthritis: Biomarkers identified by analysis of gene expression in peripheral blood mononuclear cells using genome-wide DNA microarray
    • 1:CAS:528:DC%2BC2cXhtl2qur%2FO 24591094
    • Sanayama Y, Ikeda K, Saito Y, Kagami S, Yamagata M, Furuta S, et al. Prediction of therapeutic responses to tocilizumab in patients with rheumatoid arthritis: biomarkers identified by analysis of gene expression in peripheral blood mononuclear cells using genome-wide DNA microarray. Arthritis Rheumatol. 2014;66(6):1421-31.
    • (2014) Arthritis Rheumatol , vol.66 , Issue.6 , pp. 1421-1431
    • Sanayama, Y.1    Ikeda, K.2    Saito, Y.3    Kagami, S.4    Yamagata, M.5    Furuta, S.6
  • 14
    • 84905007989 scopus 로고    scopus 로고
    • Use of whole-blood transcriptomic profiling to highlight several pathophysiologic pathways associated with response to rituximab in patients with rheumatoid arthritis: Data from a randomized, controlled, open-label trial
    • 1:CAS:528:DC%2BC2cXhs1Chs7rM 24756903
    • Sellam J, Marion-Thore S, Dumont F, Jacques S, Garchon HJ, Rouanet S, et al. Use of whole-blood transcriptomic profiling to highlight several pathophysiologic pathways associated with response to rituximab in patients with rheumatoid arthritis: data from a randomized, controlled, open-label trial. Arthritis Rheumatol. 2014;66(8):2015-25.
    • (2014) Arthritis Rheumatol , vol.66 , Issue.8 , pp. 2015-2025
    • Sellam, J.1    Marion-Thore, S.2    Dumont, F.3    Jacques, S.4    Garchon, H.J.5    Rouanet, S.6
  • 15
    • 0037245343 scopus 로고    scopus 로고
    • Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification
    • 1:CAS:528:DC%2BD3sXitlOntrY%3D 12509396
    • Simon R, Radmacher MD, Dobbin K, McShane LM. Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification. J Natl Cancer Inst. 2003;95(1):14-8.
    • (2003) J Natl Cancer Inst , vol.95 , Issue.1 , pp. 14-18
    • Simon, R.1    Radmacher, M.D.2    Dobbin, K.3    McShane, L.M.4
  • 16
    • 84858650504 scopus 로고    scopus 로고
    • Validation study of existing gene expression signatures for anti-TNF treatment in patients with rheumatoid arthritis
    • 1:CAS:528:DC%2BC38XltVymsbY%3D 3310059 22457743
    • Toonen EJ, Gilissen C, Franke B, Kievit W, Eijsbouts AM, den Broeder AA, et al. Validation study of existing gene expression signatures for anti-TNF treatment in patients with rheumatoid arthritis. PLoS One. 2012;7(3):e33199.
    • (2012) PLoS One , vol.7 , Issue.3 , pp. 33199
    • Toonen, E.J.1    Gilissen, C.2    Franke, B.3    Kievit, W.4    Eijsbouts, A.M.5    Den Broeder, A.A.6
  • 17
    • 84861643512 scopus 로고    scopus 로고
    • Assessment of network perturbation amplitude by applying high-throughput data to causal biological networks
    • 1:CAS:528:DC%2BC38XhvVSrsLvI 3433335 22651900
    • Martin F, Thomson TM, Sewer A, Drubin DA, Mathis C, Weisensee D, et al. Assessment of network perturbation amplitude by applying high-throughput data to causal biological networks. BMC Syst Biol. 2012;6(1):54.
    • (2012) BMC Syst Biol , vol.6 , Issue.1 , pp. 54
    • Martin, F.1    Thomson, T.M.2    Sewer, A.3    Drubin, D.A.4    Mathis, C.5    Weisensee, D.6
  • 20
    • 29144535372 scopus 로고    scopus 로고
    • Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data
    • 1283542 16284200
    • Dai M, Wang P, Boyd AD, Kostov G, Athey B, Jones EG, et al. Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data. Nucleic Acids Res. 2005;33(20):e175.
    • (2005) Nucleic Acids Res , vol.33 , Issue.20 , pp. 175
    • Dai, M.1    Wang, P.2    Boyd, A.D.3    Kostov, G.4    Athey, B.5    Jones, E.G.6
  • 21
    • 84887870659 scopus 로고    scopus 로고
    • Reverse causal reasoning: Applying qualitative causal knowledge to the interpretation of high-throughput data
    • 4222496 24266983
    • Catlett NL, Bargnesi AJ, Ungerer S, Seagaran T, Ladd W, Elliston KO, et al. Reverse causal reasoning: applying qualitative causal knowledge to the interpretation of high-throughput data. BMC Bioinformatics. 2013;14(1):340.
    • (2013) BMC Bioinformatics , vol.14 , Issue.1 , pp. 340
    • Catlett, N.L.1    Bargnesi, A.J.2    Ungerer, S.3    Seagaran, T.4    Ladd, W.5    Elliston, K.O.6
  • 22
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • 2929880 20808728
    • Friedman J, Hastie T, Tibshirani R. Regularization paths for generalized linear models via coordinate descent. J Stat Softw. 2010;33(1):1-22.
    • (2010) J Stat Softw , vol.33 , Issue.1 , pp. 1-22
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 24
    • 77952060263 scopus 로고    scopus 로고
    • Comparison and consolidation of microarray data sets of human tissue expression
    • 2885367 20465848
    • Russ J, Futschik ME. Comparison and consolidation of microarray data sets of human tissue expression. BMC Genomics. 2010;11:305.
    • (2010) BMC Genomics , vol.11 , pp. 305
    • Russ, J.1    Futschik, M.E.2
  • 25
    • 65749119811 scopus 로고    scopus 로고
    • Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap
    • Kim J-H. Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap. Comput Stat Data Anal [Internet]. 2009;53(11).
    • (2009) Comput Stat Data Anal [Internet] , vol.53 , Issue.11
    • Kim, J.-H.1
  • 26
    • 0029797663 scopus 로고    scopus 로고
    • Development and validation of response criteria in rheumatoid arthritis: Steps towards an international consensus on prognostic markers
    • 8810683
    • Van Riel PL, van Gestel AM, van de Putte LB. Development and validation of response criteria in rheumatoid arthritis: steps towards an international consensus on prognostic markers. Br J Rheumatol. 1996;35 Suppl 2:4-7.
    • (1996) Br J Rheumatol , vol.35 , pp. 4-7
    • Van Riel, P.L.1    Van Gestel, A.M.2    Van De Putte, L.B.3
  • 27
    • 60849135116 scopus 로고    scopus 로고
    • Integrative disease classification based on cross-platform microarray data
    • 2648756 19208125
    • Liu CC, Hu J, Kalakrishnan M, Huang H, Zhou XJ. Integrative disease classification based on cross-platform microarray data. BMC Bioinformatics. 2009;10 Suppl 1:S25.
    • (2009) BMC Bioinformatics , vol.10 , pp. 25
    • Liu, C.C.1    Hu, J.2    Kalakrishnan, M.3    Huang, H.4    Zhou, X.J.5
  • 29
    • 84856021920 scopus 로고    scopus 로고
    • Gene expression analysis of whole blood, peripheral blood mononuclear cells, and lymphoblastoid cell lines from the Framingham heart study
    • 1:CAS:528:DC%2BC38XlslOgsr4%3D 3289123 22045913
    • Joehanes R, Johnson AD, Barb JJ, Raghavachari N, Liu P, Woodhouse KA, et al. Gene expression analysis of whole blood, peripheral blood mononuclear cells, and lymphoblastoid cell lines from the Framingham heart study. Physiol Genomics. 2012;44(1):59-75.
    • (2012) Physiol Genomics , vol.44 , Issue.1 , pp. 59-75
    • Joehanes, R.1    Johnson, A.D.2    Barb, J.J.3    Raghavachari, N.4    Liu, P.5    Woodhouse, K.A.6
  • 30
    • 67849130563 scopus 로고    scopus 로고
    • ToppGene suite for gene list enrichment analysis and candidate gene prioritization
    • 19465376
    • Chen J, Bardes EE, Aronow BJ, Jegga AG. ToppGene suite for gene list enrichment analysis and candidate gene prioritization. Nucleic Acids Res. 2009;37(Web Server issue):W305-11.
    • (2009) Nucleic Acids Res , vol.37 , Issue.WEB SERVER ISSUE , pp. 305-311
    • Chen, J.1    Bardes, E.E.2    Aronow, B.J.3    Jegga, A.G.4
  • 31
    • 84868246947 scopus 로고    scopus 로고
    • Direct medical expenditure associated with rheumatoid arthritis in a nationally representative sample from the medical expenditure panel survey
    • 22674912
    • Kawatkar AA, Jacobsen SJ, Levy GD, Medhekar SS, Venkatasubramaniam KV, Herrinton LJ. Direct medical expenditure associated with rheumatoid arthritis in a nationally representative sample from the medical expenditure panel survey. Arthritis Care Res Hoboken. 2012;64(11):1649-56.
    • (2012) Arthritis Care Res Hoboken , vol.64 , Issue.11 , pp. 1649-1656
    • Kawatkar, A.A.1    Jacobsen, S.J.2    Levy, G.D.3    Medhekar, S.S.4    Venkatasubramaniam, K.V.5    Herrinton, L.J.6
  • 32
    • 77952940995 scopus 로고    scopus 로고
    • Dyslipidaemia in rheumatoid arthritis: The role of inflammation, drugs, lifestyle and genetic factors
    • 1:CAS:528:DC%2BC3cXlslOqsbk%3D 19758115
    • Toms TE, Symmons DP, Kitas GD. Dyslipidaemia in rheumatoid arthritis: the role of inflammation, drugs, lifestyle and genetic factors. Curr Vasc Pharmacol. 2010;8(3):301-26.
    • (2010) Curr Vasc Pharmacol , vol.8 , Issue.3 , pp. 301-326
    • Toms, T.E.1    Symmons, D.P.2    Kitas, G.D.3
  • 33
    • 82855166058 scopus 로고    scopus 로고
    • Dyslipidaemia in rheumatological autoimmune diseases
    • 1:CAS:528:DC%2BC3MXkt1Kqsbc%3D 3109701 21660202
    • Toms TE, Panoulas VF, Kitas GD. Dyslipidaemia in rheumatological autoimmune diseases. Open Cardiovasc Med J. 2011;5:64-75.
    • (2011) Open Cardiovasc Med J , vol.5 , pp. 64-75
    • Toms, T.E.1    Panoulas, V.F.2    Kitas, G.D.3
  • 34
    • 84865587357 scopus 로고    scopus 로고
    • Dyslipidemia and changes in lipid profiles associated with rheumatoid arthritis and initiation of anti-tumor necrosis factor therapy
    • 1:CAS:528:DC%2BC38XhslSkurbI
    • Curtis JR, John A, Baser O. Dyslipidemia and changes in lipid profiles associated with rheumatoid arthritis and initiation of anti-tumor necrosis factor therapy. Arthritis Care Res. 2012;64(9):1282-91.
    • (2012) Arthritis Care Res , vol.64 , Issue.9 , pp. 1282-1291
    • Curtis, J.R.1    John, A.2    Baser, O.3
  • 36
    • 77649289297 scopus 로고    scopus 로고
    • Regulation of IFN response gene activity during infliximab treatment in rheumatoid arthritis is associated with clinical response to treatment
    • 2875639 20096109
    • Van Baarsen LG, Wijbrandts CA, Rustenburg F, Cantaert T, van der Pouw Kraan TC, Baeten DL, et al. Regulation of IFN response gene activity during infliximab treatment in rheumatoid arthritis is associated with clinical response to treatment. Arthritis Res Ther. 2010;12(1):R11.
    • (2010) Arthritis Res Ther , vol.12 , Issue.1 , pp. 11
    • Van Baarsen, L.G.1    Wijbrandts, C.A.2    Rustenburg, F.3    Cantaert, T.4    Van Der Pouw Kraan, T.C.5    Baeten, D.L.6
  • 39
    • 84879434458 scopus 로고    scopus 로고
    • Peripheral blood derived gene panels predict response to infliximab in rheumatoid arthritis and Crohn's disease
    • 1:CAS:528:DC%2BC3sXhtlGjtbvN 4064310 23809696
    • Mesko B, Poliska S, Vancsa A, Szekanecz Z, Palatka K, Hollo Z, et al. Peripheral blood derived gene panels predict response to infliximab in rheumatoid arthritis and Crohn's disease. Genome Med. 2013;5(6):59.
    • (2013) Genome Med , vol.5 , Issue.6 , pp. 59
    • Mesko, B.1    Poliska, S.2    Vancsa, A.3    Szekanecz, Z.4    Palatka, K.5    Hollo, Z.6
  • 40
    • 84860728971 scopus 로고    scopus 로고
    • Peripheral blood gene expression and IgG glycosylation profiles as markers of tocilizumab treatment in rheumatoid arthritis
    • 1:CAS:528:DC%2BC38XhtVeitr7K 22467923
    • Mesko B, Poliska S, Szamosi S, Szekanecz Z, Podani J, Varadi C, et al. Peripheral blood gene expression and IgG glycosylation profiles as markers of tocilizumab treatment in rheumatoid arthritis. J Rheumatol. 2012;39(5):916-28.
    • (2012) J Rheumatol , vol.39 , Issue.5 , pp. 916-928
    • Mesko, B.1    Poliska, S.2    Szamosi, S.3    Szekanecz, Z.4    Podani, J.5    Varadi, C.6
  • 41
    • 84860215051 scopus 로고    scopus 로고
    • The interferon type i signature towards prediction of non-response to rituximab in rheumatoid arthritis patients
    • 1:CAS:528:DC%2BC38Xot12qs7o%3D 3446469 22540992
    • Raterman HG, Vosslamber S, de Ridder S, Nurmohamed MT, Lems WF, Boers M, et al. The interferon type I signature towards prediction of non-response to rituximab in rheumatoid arthritis patients. Arthritis Res Ther. 2012;14(2):R95.
    • (2012) Arthritis Res Ther , vol.14 , Issue.2 , pp. 95
    • Raterman, H.G.1    Vosslamber, S.2    De Ridder, S.3    Nurmohamed, M.T.4    Lems, W.F.5    Boers, M.6
  • 42
    • 78751699507 scopus 로고    scopus 로고
    • Gene profiling predicts rheumatoid arthritis responsiveness to IL-1Ra (anakinra)
    • 1:CAS:528:DC%2BC3MXhtVehtbw%3D
    • Bansard C, Lequerré T, Derambure C, Vittecoq O, Hiron M, Daragon A, et al. Gene profiling predicts rheumatoid arthritis responsiveness to IL-1Ra (anakinra). Rheumatol Oxf Engl. 2011;50(2):283-92.
    • (2011) Rheumatol Oxf Engl , vol.50 , Issue.2 , pp. 283-292
    • Bansard, C.1    Lequerré, T.2    Derambure, C.3    Vittecoq, O.4    Hiron, M.5    Daragon, A.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.