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Investigating CD11c expression as a potential genomic biomarker of response to TNF inhibitor biologics in whole blood rheumatoid arthritis samples

INTRODUCTION: Gene expression profiling is rapidly becoming a useful and informative tool in a much needed area of research. Identifying patients as to whether they will respond or not to a given treatment before prescription is not only essential to optimise treatment outcome but also to lessen the...

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Autores principales: Smith, Samantha Louise, Eyre, Stephen, Yarwood, Annie, Hyrich, Kimme, Morgan, Ann W., Wilson, A. G., Isaacs, John, Plant, Darren, Barton, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704535/
https://www.ncbi.nlm.nih.gov/pubmed/26667261
http://dx.doi.org/10.1186/s13075-015-0868-y
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author Smith, Samantha Louise
Eyre, Stephen
Yarwood, Annie
Hyrich, Kimme
Morgan, Ann W.
Wilson, A. G.
Isaacs, John
Plant, Darren
Barton, Anne
author_facet Smith, Samantha Louise
Eyre, Stephen
Yarwood, Annie
Hyrich, Kimme
Morgan, Ann W.
Wilson, A. G.
Isaacs, John
Plant, Darren
Barton, Anne
author_sort Smith, Samantha Louise
collection PubMed
description INTRODUCTION: Gene expression profiling is rapidly becoming a useful and informative tool in a much needed area of research. Identifying patients as to whether they will respond or not to a given treatment before prescription is not only essential to optimise treatment outcome but also to lessen the economic burden that such drugs can have on healthcare resources. In rheumatoid arthritis (RA), there is of yet no genetic/genomic biomarker which can accurately predict response to TNF inhibitor biologics prior to treatment, despite much interest in this area. Multiple studies have reported findings on potential candidate genes; however, due to relatively small sample sizes or lack of sufficient validation, results have been disappointingly inconsistent. The aim of this research was to further explore the predictive value of a previously reported association between CD11c expression and response to the TNF inhibitor biologics, adalimumab and etanercept. METHODS: Real-time qPCR was performed using whole blood RNA samples obtained from seventy-five rheumatoid arthritis patients about to commence treatment with a TNF inhibitor biologic drug, whose response status was determined at 3-month follow-up using the EULAR classification criteria. Relative quantification of CD11c using the comparative C(T) method outputted differential expression between good-responders and non-responders as a fold-change. RESULTS: Relative expression of CD11c in patients receiving TNF inhibitor biologics yielded a decrease of 1.025 fold in good-responders as compared to non-responders (p-value = 0.36). Upon stratification of patients dependent upon the specific drug administered, adalimumab or etanercept, similar findings to the full cohort were observed, decreases of 1.015 (p-value = 0.33) and 1.032 fold (p-value = 0.13) in good-responders compared to non-responders, respectively. CONCLUSION: The results from this study reveal that CD11c expression does not correlate with response to TNF inhibitor biologics when tested for within pre-treatment whole blood samples of rheumatoid arthritis patients.
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spelling pubmed-47045352016-01-08 Investigating CD11c expression as a potential genomic biomarker of response to TNF inhibitor biologics in whole blood rheumatoid arthritis samples Smith, Samantha Louise Eyre, Stephen Yarwood, Annie Hyrich, Kimme Morgan, Ann W. Wilson, A. G. Isaacs, John Plant, Darren Barton, Anne Arthritis Res Ther Research Article INTRODUCTION: Gene expression profiling is rapidly becoming a useful and informative tool in a much needed area of research. Identifying patients as to whether they will respond or not to a given treatment before prescription is not only essential to optimise treatment outcome but also to lessen the economic burden that such drugs can have on healthcare resources. In rheumatoid arthritis (RA), there is of yet no genetic/genomic biomarker which can accurately predict response to TNF inhibitor biologics prior to treatment, despite much interest in this area. Multiple studies have reported findings on potential candidate genes; however, due to relatively small sample sizes or lack of sufficient validation, results have been disappointingly inconsistent. The aim of this research was to further explore the predictive value of a previously reported association between CD11c expression and response to the TNF inhibitor biologics, adalimumab and etanercept. METHODS: Real-time qPCR was performed using whole blood RNA samples obtained from seventy-five rheumatoid arthritis patients about to commence treatment with a TNF inhibitor biologic drug, whose response status was determined at 3-month follow-up using the EULAR classification criteria. Relative quantification of CD11c using the comparative C(T) method outputted differential expression between good-responders and non-responders as a fold-change. RESULTS: Relative expression of CD11c in patients receiving TNF inhibitor biologics yielded a decrease of 1.025 fold in good-responders as compared to non-responders (p-value = 0.36). Upon stratification of patients dependent upon the specific drug administered, adalimumab or etanercept, similar findings to the full cohort were observed, decreases of 1.015 (p-value = 0.33) and 1.032 fold (p-value = 0.13) in good-responders compared to non-responders, respectively. CONCLUSION: The results from this study reveal that CD11c expression does not correlate with response to TNF inhibitor biologics when tested for within pre-treatment whole blood samples of rheumatoid arthritis patients. BioMed Central 2015-12-14 2015 /pmc/articles/PMC4704535/ /pubmed/26667261 http://dx.doi.org/10.1186/s13075-015-0868-y Text en © Smith et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Smith, Samantha Louise
Eyre, Stephen
Yarwood, Annie
Hyrich, Kimme
Morgan, Ann W.
Wilson, A. G.
Isaacs, John
Plant, Darren
Barton, Anne
Investigating CD11c expression as a potential genomic biomarker of response to TNF inhibitor biologics in whole blood rheumatoid arthritis samples
title Investigating CD11c expression as a potential genomic biomarker of response to TNF inhibitor biologics in whole blood rheumatoid arthritis samples
title_full Investigating CD11c expression as a potential genomic biomarker of response to TNF inhibitor biologics in whole blood rheumatoid arthritis samples
title_fullStr Investigating CD11c expression as a potential genomic biomarker of response to TNF inhibitor biologics in whole blood rheumatoid arthritis samples
title_full_unstemmed Investigating CD11c expression as a potential genomic biomarker of response to TNF inhibitor biologics in whole blood rheumatoid arthritis samples
title_short Investigating CD11c expression as a potential genomic biomarker of response to TNF inhibitor biologics in whole blood rheumatoid arthritis samples
title_sort investigating cd11c expression as a potential genomic biomarker of response to tnf inhibitor biologics in whole blood rheumatoid arthritis samples
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704535/
https://www.ncbi.nlm.nih.gov/pubmed/26667261
http://dx.doi.org/10.1186/s13075-015-0868-y
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