Literature DB >> 12673886

Expression of folylpolyglutamyl synthetase predicts poor response to methotrexate therapy in patients with rheumatoid arthritis.

T Stranzl1, J Wolf, B F Leeb, J S Smolen, R Pirker, M Filipits.   

Abstract

OBJECTIVE: The enzyme folylpolyglutamyl synthetase (FPGS) is involved in the resistance to methotrexate in tumor cell lines. The aim of the present study was to determine the impact of FPGS mRNA expression on resistance to methotrexate therapy in patients with rheumatoid arthritis (RA).
METHODS: We determined the expression of FPGS mRNA using the Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) in 141 patients with RA. All patients received methotrexate therapy. The primary outcome measures were disease activity as determined by a disease activity score (DAS) and response to therapy.
RESULTS: Seventy-eight of 141 patients (55%) showed expression of FPGS mRNA. FPGS mRNA expression was not associated with age, sex, disease duration, white blood cell count, erythrocyte sedimentation rate, C-reactive protein (CRP), number of swollen joints, number of painful joints, and combined therapy with other disease-modifying antirheumatic drugs (DMARDs) or additional corticosteroids. The response rate to methotrexate therapy was 44% for the total study population. Patients without FPGS mRNA expression showed a significantly higher response rate than patients with FPGS mRNA expression (57% versus 33%; p = 0.005). Multivariate logistic regression analysis revealed that female sex (p = 0.009) and FPGS mRNA expression (p = 0.004) were independent predictive factors for failure to achieve a response to methotrexate therapy.
CONCLUSION: FPGS mRNA expression is an independent predictive factor associated with poor response to methotrexate therapy in RA patients.

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Year:  2003        PMID: 12673886

Source DB:  PubMed          Journal:  Clin Exp Rheumatol        ISSN: 0392-856X            Impact factor:   4.473


  5 in total

1.  Expression of resistance markers to methotrexate predicts clinical improvement in patients with rheumatoid arthritis.

Authors:  J Wolf; T Stranzl; M Filipits; G Pohl; R Pirker; B Leeb; J S Smolen
Journal:  Ann Rheum Dis       Date:  2004-09-02       Impact factor: 19.103

2.  Clinico-genetic model to predict methotrexate intolerance in rheumatoid arthritis.

Authors:  Amit Sandhu; Varun Dhir; Shabeer Ahmad; Veena Dhawan; Jasbinder Kaur; Archana Bhatnagar
Journal:  Clin Rheumatol       Date:  2019-09-14       Impact factor: 2.980

3.  MDR-1 and MRP-1 activity in peripheral blood leukocytes of rheumatoid arthritis patients.

Authors:  Tamás Micsik; András Lőrincz; János Gál; Richard Schwab; István Peták
Journal:  Diagn Pathol       Date:  2015-12-30       Impact factor: 2.644

4.  Genetic polymorphisms of enzyme proteins and transporters related to methotrexate response and pharmacokinetics in a Japanese population.

Authors:  Masayuki Hashiguchi; Mikiko Shimizu; Jun Hakamata; Tomomi Tsuru; Takanori Tanaka; Midori Suzaki; Kumika Miyawaki; Takeshi Chiyoda; Osamu Takeuchi; Jiro Hiratsuka; Shin Irie; Junya Maruyama; Mayumi Mochizuki
Journal:  J Pharm Health Care Sci       Date:  2016-12-09

Review 5.  Old drugs, old problems: where do we stand in prediction of rheumatoid arthritis responsiveness to methotrexate and other synthetic DMARDs?

Authors:  Vasco Crispim Romão; Helena Canhão; João Eurico Fonseca
Journal:  BMC Med       Date:  2013-01-23       Impact factor: 8.775

  5 in total

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