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Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis

BACKGROUND: There is a pressing need in rheumatoid arthritis (RA) to identify patients who will not respond to first-line disease-modifying anti-rheumatic drugs (DMARD). We explored whether differences in genomic architecture represented by a chromosome conformation signature (CCS) in blood taken fr...

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Autores principales: Carini, Claudio, Hunter, Ewan, Ramadass, Aroul S., Green, Jayne, Akoulitchev, Alexandre, McInnes, Iain B., Goodyear, Carl S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789697/
https://www.ncbi.nlm.nih.gov/pubmed/29378619
http://dx.doi.org/10.1186/s12967-018-1387-9
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author Carini, Claudio
Hunter, Ewan
Ramadass, Aroul S.
Green, Jayne
Akoulitchev, Alexandre
McInnes, Iain B.
Goodyear, Carl S.
author_facet Carini, Claudio
Hunter, Ewan
Ramadass, Aroul S.
Green, Jayne
Akoulitchev, Alexandre
McInnes, Iain B.
Goodyear, Carl S.
author_sort Carini, Claudio
collection PubMed
description BACKGROUND: There is a pressing need in rheumatoid arthritis (RA) to identify patients who will not respond to first-line disease-modifying anti-rheumatic drugs (DMARD). We explored whether differences in genomic architecture represented by a chromosome conformation signature (CCS) in blood taken from early RA patients before methotrexate (MTX) treatment could assist in identifying non-response to DMARD and, whether there is an association between such a signature and RA specific expression quantitative trait loci (eQTL). METHODS: We looked for the presence of a CCS in blood from early RA patients commencing MTX using chromosome conformation capture by EpiSwitch™. Using blood samples from MTX responders, non-responders and healthy controls, a custom designed biomarker discovery array was refined to a 5-marker CCS that could discriminate between responders and non-responders to MTX. We cross-validated the predictive power of the CCS by generating 150 randomized groups of 59 early RA patients (30 responders and 29 non-responders) before MTX treatment. The CCS was validated using a blinded, independent cohort of 19 early RA patients (9 responders and 10 non-responders). Last, the loci of the CCS markers were mapped to RA-specific eQTL. RESULTS: We identified a 5-marker CCS that could identify, at baseline, responders and non-responders to MTX. The CCS consisted of binary chromosome conformations in the genomic regions of IFNAR1, IL-21R, IL-23, CXCL13 and IL-17A. When tested on a cohort of 59 RA patients, the CCS provided a negative predictive value of 90.0% for MTX response. When tested on a blinded independent validation cohort of 19 early RA patients, the signature demonstrated a true negative response rate of 86 and a 90% sensitivity for detection of non-responders to MTX. Only conformations in responders mapped to RA-specific eQTL. CONCLUSIONS: Here we demonstrate that detection of a CCS in blood in early RA is able to predict inadequate response to MTX with a high degree of accuracy. Our results provide a proof of principle that a priori stratification of response to MTX is possible, offering a mechanism to provide alternative treatments for non-responders to MTX earlier in the course of the disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1387-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-57896972018-02-08 Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis Carini, Claudio Hunter, Ewan Ramadass, Aroul S. Green, Jayne Akoulitchev, Alexandre McInnes, Iain B. Goodyear, Carl S. J Transl Med Research BACKGROUND: There is a pressing need in rheumatoid arthritis (RA) to identify patients who will not respond to first-line disease-modifying anti-rheumatic drugs (DMARD). We explored whether differences in genomic architecture represented by a chromosome conformation signature (CCS) in blood taken from early RA patients before methotrexate (MTX) treatment could assist in identifying non-response to DMARD and, whether there is an association between such a signature and RA specific expression quantitative trait loci (eQTL). METHODS: We looked for the presence of a CCS in blood from early RA patients commencing MTX using chromosome conformation capture by EpiSwitch™. Using blood samples from MTX responders, non-responders and healthy controls, a custom designed biomarker discovery array was refined to a 5-marker CCS that could discriminate between responders and non-responders to MTX. We cross-validated the predictive power of the CCS by generating 150 randomized groups of 59 early RA patients (30 responders and 29 non-responders) before MTX treatment. The CCS was validated using a blinded, independent cohort of 19 early RA patients (9 responders and 10 non-responders). Last, the loci of the CCS markers were mapped to RA-specific eQTL. RESULTS: We identified a 5-marker CCS that could identify, at baseline, responders and non-responders to MTX. The CCS consisted of binary chromosome conformations in the genomic regions of IFNAR1, IL-21R, IL-23, CXCL13 and IL-17A. When tested on a cohort of 59 RA patients, the CCS provided a negative predictive value of 90.0% for MTX response. When tested on a blinded independent validation cohort of 19 early RA patients, the signature demonstrated a true negative response rate of 86 and a 90% sensitivity for detection of non-responders to MTX. Only conformations in responders mapped to RA-specific eQTL. CONCLUSIONS: Here we demonstrate that detection of a CCS in blood in early RA is able to predict inadequate response to MTX with a high degree of accuracy. Our results provide a proof of principle that a priori stratification of response to MTX is possible, offering a mechanism to provide alternative treatments for non-responders to MTX earlier in the course of the disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1387-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-29 /pmc/articles/PMC5789697/ /pubmed/29378619 http://dx.doi.org/10.1186/s12967-018-1387-9 Text en © The Author(s) 2018 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
Carini, Claudio
Hunter, Ewan
Ramadass, Aroul S.
Green, Jayne
Akoulitchev, Alexandre
McInnes, Iain B.
Goodyear, Carl S.
Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis
title Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis
title_full Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis
title_fullStr Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis
title_full_unstemmed Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis
title_short Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis
title_sort chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789697/
https://www.ncbi.nlm.nih.gov/pubmed/29378619
http://dx.doi.org/10.1186/s12967-018-1387-9
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