Literature DB >> 28657833

Serum interleukin-6 and survivin levels predict clinical response to etanercept treatment in patients with established rheumatoid arthritis.

Rui Shi1, Muzhi Chen1, Bahaerguli Litifu1.   

Abstract

OBJECTIVES: To investigate the correlation of nine potential biomarkers with clinical response to etanercept (ETN) therapy in establish rheumatoid arthritis (RA) patients.
METHODS: Seventy-three patients with established RA were enrolled in the prospective cohort study. Sixty-nine of 73 cases were included into final analysis for response after 24-week ETN therapy. Serum expression of nine studied proteins was measured by enzyme-linked immunosorbent assay (ELISA). Tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), IL-6, IL-17A, IL-21, IL-34, RANKL, survivin, and COMP were selected as candidate biomarkers.
RESULTS: Serum IL-6 level was increased in responders than in nonresponders at baseline, p = .034; to the contrary, serum survivin level was decreased in responders, p = .009. Receiver operating characteristic (ROC) curve illuminated the combination of IL-6 and survivin expressions could predict clinical response with a high AUC 0.875, 95% CI: 0.771-0.976. Furthermore, we found the combination of IL-6 high expression and survivin low expression increased the responding possibility to nearly 20-fold (OR 19.687, 95% CI: 4.087-94.839, p < .001) compared to IL-6 low or survivin high expression by univariate analysis. However, only survivin low expression (p = .002) and CRP (p = .014) high expression were independent predictive factors for achieving clinical response, while IL-6 lack independent predictive value (p = .267).
CONCLUSIONS: Comprehensive measurement of IL-6 and survivin in serum could be served as a convincing biomarker for clinical response in ETN-treated patients with established RA.

Entities:  

Keywords:  Etanercept; interleukin-6; predict; response; survivin

Mesh:

Substances:

Year:  2017        PMID: 28657833     DOI: 10.1080/14397595.2017.1317384

Source DB:  PubMed          Journal:  Mod Rheumatol        ISSN: 1439-7595            Impact factor:   3.023


  6 in total

1.  IL-1β, IL-17A, CRP and biologics history might serve as potential markers for clinical response to etanercept in rheumatoid arthritis patients.

Authors:  Bo Zhang; Wei Jiang
Journal:  Inflammopharmacology       Date:  2019-08-28       Impact factor: 4.473

2.  Validation of a Bioassay for Predicting Response to Tumor Necrosis Factor Inhibitors in Rheumatoid Arthritis.

Authors:  Ching-Huang Ho; Andrea A Silva; Jon T Giles; Joan M Bathon; Daniel H Solomon; Katherine P Liao; I-Cheng Ho
Journal:  Arthritis Rheumatol       Date:  2021-04-16       Impact factor: 15.483

3.  Concentration of survivin in children with oligo- and polyarticular juvenile idiopathic arthritis (JIA): diagnostic and prognostic value-a single-center study.

Authors:  Joanna Lipinska; Marcin Kaszkowiak; Beata Malachowska; Joanna Swidrowska-Jaros; Elzbieta Smolewska
Journal:  Arthritis Res Ther       Date:  2021-01-26       Impact factor: 5.156

4.  Plasma interleukin-23 and circulating IL-17A+IFNγ+ ex-Th17 cells predict opposing outcomes of anti-TNF therapy in rheumatoid arthritis.

Authors:  Melanie J Millier; Niamh C Fanning; Christopher Frampton; Lisa K Stamp; Paul A Hessian
Journal:  Arthritis Res Ther       Date:  2022-02-26       Impact factor: 5.156

5.  Gene Ontology Analysis Highlights Biological Processes Influencing Non-Response to Anti-TNF Therapy in Rheumatoid Arthritis.

Authors:  Gregor Jezernik; Mario Gorenjak; Uroš Potočnik
Journal:  Biomedicines       Date:  2022-07-27

Review 6.  Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis.

Authors:  Ben Mulhearn; Anne Barton; Sebastien Viatte
Journal:  J Pers Med       Date:  2019-10-02
  6 in total

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