Literature DB >> 19577537

Prediction of efficacy of anti-TNF biologic agent, infliximab, for rheumatoid arthritis patients using a comprehensive transcriptome analysis of white blood cells.

Motohiko Tanino1, Ryo Matoba, Seiji Nakamura, Hideto Kameda, Kouichi Amano, Toshitsugu Okayama, Hayato Nagasawa, Katsuya Suzuki, Kenichi Matsubara, Tsutomu Takeuchi.   

Abstract

Introduction of biologics, such as infliximab, to the therapy of rheumatoid arthritis (RA) patients has revolutionized the treatment of this disease. However, biomarkers for predicting the efficacy of the drug at an early phase of treatment for selecting real responders have not been found. We here present predictive markers based on a thorough transcriptome analysis of white blood cells from RA patients. RNA from whole blood cells of consecutive 42 patients before the first infusion was analyzed with microarrays for training studies. Samples from the subsequent 26 consecutive patients were used for a prospective study. We categorized the results into no inflammation and residual inflammation groups using the serum C-reactive protein (CRP) level at 14weeks after the first infusion. The accuracy of prediction in our study was 65.4%.

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Year:  2009        PMID: 19577537     DOI: 10.1016/j.bbrc.2009.06.149

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  21 in total

Review 1.  [Biomarkers for prognosis of response to anti-TNF therapy of rheumatoid arthritis: Where do we stand?].

Authors:  B Stuhlmüller; K Skriner; T Häupl
Journal:  Z Rheumatol       Date:  2015-11       Impact factor: 1.372

Review 2.  The Japanese experience with biologic therapies for rheumatoid arthritis.

Authors:  Tsutomu Takeuchi; Hideto Kameda
Journal:  Nat Rev Rheumatol       Date:  2010-09-28       Impact factor: 20.543

3.  RNA Identification of PRIME Cells Predicting Rheumatoid Arthritis Flares.

Authors:  Dana E Orange; Vicky Yao; Kirsty Sawicka; John Fak; Mayu O Frank; Salina Parveen; Nathalie E Blachere; Caryn Hale; Fan Zhang; Soumya Raychaudhuri; Olga G Troyanskaya; Robert B Darnell
Journal:  N Engl J Med       Date:  2020-07-16       Impact factor: 91.245

4.  Utilizing a PTPN22 gene signature to predict response to targeted therapies in rheumatoid arthritis.

Authors:  Hui-Hsin Chang; Ching-Huang Ho; Beverly Tomita; Andrea A Silva; Jeffrey A Sparks; Elizabeth W Karlson; Deepak A Rao; Yvonne C Lee; I-Cheng Ho
Journal:  J Autoimmun       Date:  2019-04-26       Impact factor: 7.094

5.  Integration of known DNA, RNA and protein biomarkers provides prediction of anti-TNF response in rheumatoid arthritis: results from the COMBINE study.

Authors:  Lasse Folkersen; Boel Brynedal; Lina Marcela Diaz-Gallo; Daniel Ramsköld; Klementy Shchetynsky; Helga Westerlind; Yvonne Sundström; Danika Schepis; Aase Hensvold; Nancy Vivar; Maija-Leena Eloranta; Lars Rönnblom; Søren Brunak; Vivianne Malmström; Anca Catrina; Ulrik Gw Moerch; Lars Klareskog; Leonid Padyukov; Louise Berg
Journal:  Mol Med       Date:  2016-08-15       Impact factor: 6.354

6.  Functional genomics and rheumatoid arthritis: where have we been and where should we go?

Authors:  James N Jarvis; Mark Barton Frank
Journal:  Genome Med       Date:  2010-07-28       Impact factor: 11.117

7.  Validation study of existing gene expression signatures for anti-TNF treatment in patients with rheumatoid arthritis.

Authors:  Erik J M Toonen; Christian Gilissen; Barbara Franke; Wietske Kievit; Agnes M Eijsbouts; Alfons A den Broeder; Simon V van Reijmersdal; Joris A Veltman; Hans Scheffer; Timothy R D J Radstake; Piet L C M van Riel; Pilar Barrera; Marieke J H Coenen
Journal:  PLoS One       Date:  2012-03-21       Impact factor: 3.240

8.  RNA sequencing from human neutrophils reveals distinct transcriptional differences associated with chronic inflammatory states.

Authors:  Kaiyu Jiang; Xiaoyun Sun; Yanmin Chen; Yufeng Shen; James N Jarvis
Journal:  BMC Med Genomics       Date:  2015-08-27       Impact factor: 3.063

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

Authors:  Ty M Thomson; Reynald M Lescarbeau; David A Drubin; Daphna Laifenfeld; David de Graaf; David A Fryburg; Bruce Littman; Renée Deehan; Aaron Van Hooser
Journal:  BMC Med Genomics       Date:  2015-06-03       Impact factor: 3.063

10.  Functionalization of hybrid surface microparticles for in vitro cellular antigen classification.

Authors:  Brandon K Ashley; Jianye Sui; Mehdi Javanmard; Umer Hassan
Journal:  Anal Bioanal Chem       Date:  2020-11-06       Impact factor: 4.142

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