Cell-centred meta-analysis reveals baseline predictors of anti-TNFα non-response in biopsy and blood of patients with IBD.
Ibd
gene expression
infliximab
meta-analysis
tnf-alpha
Journal
Gut
ISSN: 1468-3288
Titre abrégé: Gut
Pays: England
ID NLM: 2985108R
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
received:
20
10
2017
revised:
19
12
2017
accepted:
16
01
2018
pubmed:
6
4
2018
medline:
20
3
2019
entrez:
6
4
2018
Statut:
ppublish
Résumé
Although anti-tumour necrosis factor alpha (anti-TNFα) therapies represent a major breakthrough in IBD therapy, their cost-benefit ratio is hampered by an overall 30% non-response rate, adverse side effects and high costs. Thus, finding predictive biomarkers of non-response prior to commencing anti-TNFα therapy is of high value. We analysed publicly available whole-genome expression profiles of colon biopsies obtained from multiple cohorts of patients with IBD using a combined computational deconvolution-meta-analysis paradigm which allows to estimate immune cell contribution to the measured expression and capture differential regulatory programmes otherwise masked due to variation in cellular composition. Insights from this in silico approach were experimentally validated in biopsies and blood samples of three independent test cohorts. We found the proportion of plasma cells as a robust pretreatment biomarker of non-response to therapy, which we validated in two independent cohorts of immune-stained colon biopsies, where a plasma cellular score from inflamed biopsies was predictive of non-response with an area under the curve (AUC) of 82%. Meta-analysis of the cell proportion-adjusted gene expression data suggested that an increase in inflammatory macrophages in anti-TNFα non-responding individuals is associated with the upregulation of the triggering receptor expressed on myeloid cells 1 (TREM-1) and chemokine receptor type 2 (CCR2)-chemokine ligand 7 (CCL7) -axes. Blood gene expression analysis of an independent cohort, identified TREM-1 downregulation in non-responders at baseline, which was predictive of response with an AUC of 94%. Our study proposes two clinically feasible assays, one in biopsy and one in blood, for predicting non-response to anti-TNFα therapy prior to initiation of treatment. Moreover, it suggests that mechanism-driven novel drugs for non-responders should be developed.
Identifiants
pubmed: 29618496
pii: gutjnl-2017-315494
doi: 10.1136/gutjnl-2017-315494
pmc: PMC6580771
doi:
Substances chimiques
Biomarkers
0
Tumor Necrosis Factor-alpha
0
Types de publication
Journal Article
Meta-Analysis
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
604-614Subventions
Organisme : NIAID NIH HHS
ID : U19 AI057229
Pays : United States
Organisme : NIAID NIH HHS
ID : U54 AI117925
Pays : United States
Organisme : NHLBI NIH HHS
ID : K12 HL120001
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI090019
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI109662
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Déclaration de conflit d'intérêts
Competing interests: YC declares Abbvie grant support, advisory and lecture fees, Janssen advisory and lecture fees, Takeda grant support and advisory and lecture fees, Pfizer advisory and lecture fees and Protalix Advisory fees. RG and ESt declares CytoReason equity and advisory fees. RG declares equity in CytoReason. SSO-O declares CytoReason equity and advisory fees and Takeda grant support.
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